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Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment Method Richard Evans and Brett W. Molony Fisheries Research Report No. 212, 2010 Fisheries Research Division Western Australian Fisheries and Marine Research Laboratories PO Box 20 NORTH BEACH, Western Australia 6920

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Page 1: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional

Risk Assessment MethodRichard Evans and Brett W. Molony

Fisheries Research Report No. 212, 2010

Fisheries Research Division Western Australian Fisheries and Marine Research Laboratories PO Box 20 NORTH BEACH, Western Australia 6920

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ii Fisheries Research Report [Western Australia] No. 212, 2010

Correct citation:

Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment Method. Fisheries Research Report No. 212. Department of Fisheries, Western Australia. 88pp.

Enquiries:

WA Fisheries and Marine Research Laboratories, PO Box 20, North Beach, WA 6920 Tel: +61 8 9203 0111 Email: [email protected] Website: www.fish.wa.gov.au ABN: 55 689 794 771

A complete list of Fisheries Research Reports is available online at www.fish.wa.gov.au

© Department of Fisheries, Western Australia. October 2010. ISSN: 1035 - 4549 ISBN: 1 921258 96 9

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Fisheries Research Report [Western Australia] No. 212, 2010 iii

Contents

Executive Summary ............................................................................................................. 1

Acknowledgements .............................................................................................................. 1

1.0 Introduction .................................................................................................................. 21.1 Rank Risk Assessment for Multiple Fisheries (RRAMF) ...................................... 2

2.0 Definitions .................................................................................................................... 3

3.0 Methods ........................................................................................................................ 43.1 Data Collection ...................................................................................................... 43.2 Cumulative Bycatch ................................................................................................ 43.3 Reduction of Species List ...................................................................................... 53.4 Life History Characteristics Variables .................................................................... 53.5 Fishery Impact Profile Variables ............................................................................ 63.6 Threatened, Endangered and Protected Species Parameters .................................. 73.7 Weighting of Parameters ......................................................................................... 83.8 Overall Risk Assessment Calculation ..................................................................... 8

4.0 Results & Discussion .................................................................................................... 94.1 Teleost & Elasmobranch (T & E) Risk Assessment ............................................... 94.2 Threatened, Endangered and Protected Species (TEPS) Risk Assessment............ 114.3 Why do most TEPS have low to moderate scores? .............................................. 114.4 Assessment of the collected bycatch data .............................................................. 114.5 Assessment of method ............................................................................................ 12

5.0 References ....................................................................................................................... 13

6.0 Appendices .................................................................................................................... 56Appendix 1. List of bycatch fish caught in the West Coast and Gascoyne Bioregions, including reported species name and the closest CAAB (Codes for Australian Aquatic Biota) scientific name. Not all species have CAAB scientific names and codes. ............................................................................................ 56

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Fisheries Research Report [Western Australia] No. 212, 2010 1

Executive Summary

This report demonstrates a method to rapidly assess the cumulative risk to sustainability of bycatch species of multiple fisheries. The method draws on other techniques already published in scientific literature and adds a new cumulative ranked estimate of total catch across multiple fisheries. The Ranked Risk Assessment of Multiple Fisheries (RRAMF) allows one to rank bycatch species data within each fishery and cumulate the ranks across multiple fisheries incorporating the relative impact of each fishery. Another feature of this study is that it does not present a single risk result for each species, rather it shows a range of scores based on a variety of combinations of double-weighted parameters used in the risk assessment. The RRAMF method was tested on the West Coast and Gascoyne Coast Bioregions of Western Australia using fishery independent data for general teleost and elasmobranch bycatch; and fishery dependent data for threatened, endangered and protected species (TEPS) (which also included the South Coast Bioregion). Bycatch in this study is defined as any discards from fishing events, and does not include by-product or target species unless the individuals are under/over size or above statutory catch limits. It is important to note that no score was above 48% of the maximum possible score. All bycatch species received low to moderate risk scores using this method for the fisheries in these Bioregions. Those species that were most vulnerable to the cumulative impacts of fishing in these Bioregions were those species with sensitive biological life histories. That is, elasmobranchs and bottom dwelling brooders were ranked predominantly in the high end of the low-moderate risk category and into the moderate risk category. The RRAMF for the TEPS showed that while most species have high biological risk, the low interaction rates reported by fisheries maintained low to moderate risk categories for most species groups. Turtles and pinnipeds featured highly in the low-moderate to moderate risk categories, and Australian Sea Lions (Neophoca cinera) were the most vulnerable with a risk category ranging from moderate to moderate-high. This method uses transparent and repeatable methods that provide information for Ecosystem Based Fisheries Management (EBFM) at a Bioregional level. The method is limited by the availability of relevant and contemporary bycatch data and consequently the results generated require cautious interpretation.

Acknowledgements

The authors would like to thank all Department of Fisheries staff that contributed their data, time and knowledge to the compilation of this report. In particular, we would like to thank Arani Chandrapavan, Mark Cliff, David Fairclough, Rick Fletcher, Vicki Gouteff, Mike Hammond, David Harris, Gary Jackson, Mervi Kangas, Tim Leary, Rod Lenanton, Simon de Lestang, Rory McAuley, Ross Marriott, Roy Melville-Smith, Jeff Norriss, Paul Orange, Tracy Penny, Kim Smith, Errol Sporer, Carli Telfer, Michael Tuffin, and Brent Wise. This research was supported by the Western Australian Marine Science Institute (WAMSI) under Node 4: Fisheries Ecosystems, Project 4.4: Captured Species Assessments. Thanks extended to Henrique Kwong for finalising and printing the final report.

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1.0 Introduction

Ever since Ecosystem Based Fishery Management (EBFM) concepts were first introduced in the late 1990s (Smith et al. 2007), commercial fisheries have been under pressure to implement scientific and management practices that reduce or mitigate ecosystem impacts. It is common knowledge that fisheries impact not only target species, but also by-product, bycatch (discards) and the environment (Hobday et al. in review). Interactions with protected species are cause for concern especially in cases where the loss of a few individuals could cause local extinction of a population (Goldsworthy & Page 2007).

A recent FAO publication on the discards of the world’s fisheries implies that early estimates of global discards were not as high as originally thought, and that average annual discards from 1992 – 2001 were approximately 7.3 million tonnes (Kelleher 2005). In that report Kelleher (2005) also state that global fisheries have reduced the amount of discards by increased utilisation of catch, use of more selective fishing gears, introduction of regulations and guidelines to limit catch or area of catch, and improvements in enforcement of regulations (Kelleher 2005). Furthermore, Kelleher (2005) suggested that these global estimates could be greatly enhanced if discard studies were conducted at national and regional levels.

Ideally, fishery discard studies would be conducted in fisheries in a systematic manner that would enable the cumulative estimate of ecosystem impacts at a species level. Unfortunately, in many countries, there are insufficient resources to fund such studies. Hence many fisheries and fisheries managers have turned to risk assessment processes to determine highest-level risk areas to invest limited resources. Risk assessments in fisheries vary from qualitative consequence-likelihood analysis (Fletcher et al. 2002, Fletcher 2005) to determine which features of the fishery are under greatest threat; to semi-quantitative or quantitative species level ecological assessments such as Productivity-Sustainability Analysis (PSA) or Sustainability Assessment for Fishing Effects (SAFE), which investigate specific impacts on individual species and their sustainability through time (Stobutzki et al. 2001, Zhou & Griffiths 2008). Hobday et al. (in review) present the ERAEF (Ecological Risk Assessment for the Effects of Fishing) technique that comprises a hierarchical set of methods or tools, which have evolved from the methods, representing different levels of “quantification”, that are linked within a single framework (Hobday et al., in review).

1.1 Rank Risk Assessment for Multiple Fisheries (RRAMF)

The purpose of this study is to design a risk assessment to investigate the cumulative risk to bycatch from multiple fisheries at a Bioregional level. The RRAMF is designed to overcome the differences in fisheries data collection methods that include use of a variety of measures, and variable observer coverage ranging from <1% to 20% of the actual fishery catch in West Australian fisheries. For example, bycatch species captured in trawl data are reported as number per hour, while in the demersal gillnet fishery bycatch data is reported as annual observed catch (number and weight). Bycatch species are also varied in their life history characteristics and their ecology, leading to variation in the distribution of the species captured. For example, trawl fisheries catch some species regularly in small numbers but others are caught in large numbers occasionally. With the limited amount of sampling of bycatch, it is difficult to discern the typical catch from the rare catch and hence over/under estimates may occur for some species in extrapolation of bycatch data to the whole fishery result. This can lead to large estimates of error surrounding the actual catch, as is evidenced in the FAO global assessments of bycatch (Kelleher

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2005). To overcome these issues the RRAMF method compares the ranks of the relative amount of bycatch from each fishery and compares the ranks of the species catch within each fishery. This method provides a rapid and relatively inexpensive method to conduct a multi-fishery risk assessment. It also enables managers to prioritise which fisheries have the greatest impact and which species may require more biological and ecological study to understand the risks of multiple fisheries.

2.0 Definitions

Target species – The species or taxa that are the main focus of the fishing activity.

By-product – The species or taxa that are caught and kept as a result of fishing activities targeting other species or taxa. These species are not the focus of this study.

Discards – non-target or target species that are caught in fishing gear and landed on the boat, and are returned to the water, either because they have no value (e.g. there is no market or they are toxic), or because regulations (e.g. minimum legal size) prevent them from being kept.

Bycatch – includes discards as well as any organisms that are not landed but damaged or killed as a result of interactions with fishing gear. These are the focus of this study.

TEPS – Threatened, Endangered and Protected Species.

T & E – Teleost and Elasmobranch.

Bioregion – The WA State of the Fisheries report states: “Bioregion refers to a region defined by common oceanographic characteristics in its marine environment and by climate/rainfall characteristics in its inland system”.

ASL – Australian Sea Lion.

DoF – Department of Fisheries, Western Australia.

DEWHA – Department of Water, Heritage and the Arts [Now SEWPaC, Department of Sustainability, Environmental, Water, Populations and Communities].

GCB – Gascoyne Coast Bioregion. North from 27° S to West of Onslow at 114° 50’E.

WCB – West Coast Bioregion. Region south from 27° S to Black Point at 115° 30’ E.

SCB – South Coast Bioregion. East from 115° 30’ E to the WA border at 125° 00’ E.

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3.0 Methods

3.1 Data Collection

Bycatch data were searched for in DoF databases, the DoF library, University libraries, personal contact and the Internet. However, bycatch data for Western Australian State fisheries were only found within DoF databases and reports. One other study was found, but due to intellectual property issues this data from the Abrolhos Trawl fishery was not included in this study. Of the 26 fisheries (commercial and recreational) identified in the West Coast and Gascoyne Coast Bioregions, data was available for only 10 fisheries (Table 1). However, much of these data are from relatively old studies and many changes in gear and/or fishing effort, have occurred in the fisheries since then (Table 2). For example, the Shark Bay Prawn Fishery data was collected without Bycatch Reduction Devices (BRDs) such as Turtle Exclusion Devices (TEDs, now described as Grids) as they allow large marine animals to escape from the net when the net is actively fishing on the seabed, in combination with fish escape devices (FEDs) such as square mesh panels. Grids and FEDs are mandatory in the fishery now, so the bycatch data in this study does not reflect the commercial bycatch of the contemporary trawl fisher as reported in the State of the Fisheries as being lower. Another example is the Temperate Demersal Gillnet and Demersal Longline Fishery (TDGDLF) where the study was conducted between 1994 and 1999. However, subsequent changes to management have removed latent effort and restricted effort to ca. 70% of mean 1994/99 levels, (McAuley 2009), by transitioning to a more explicit hourly effort management system. Thus the bycatch should be less than in the data provided here.

Teleosts and Elasmobranchs (T & E) were the focus of this study due to the limited data available on invertebrates. The risk assessment developed here was a three-step process. Firstly, four initial variables were used to reduce the number of species to a manageable list. For the West Coast Bioregion (WCB), the list reduced from 326 to 50, and from 412 to 122 in the Gascoyne Coast Bioregion (GCB) (See Appendix 1 for total list). The second stage involved assignment of the biological and fishery impact parameters to the sub-set of species (see WCB: Table 7, GCB: Table 8) and the weighting of these parameters. The overall risk assessment (see WCB: Table 9, GCB: Table 10) was calculated using the formula described in Section 3.8 to present the most vulnerable species. The third step was an arbitrary notation for each of the species based on the latest scientific and fisheries knowledge of that species. This list focussed on only the top twenty ranked species for each Bioregion. This notation provides advice on a species risk assessment relative to other species (see WCB: Table 11, GCB: Table 12).

3.2 Cumulative Bycatch

The original goal of this project was to determine a cumulative estimate of the bycatch species in the West Coast and Gascoyne Coast Bioregions. However this became impractical for three reasons:

• The lack of data across the fisheries meant a total cumulative estimate could not be made;

• Scaling up the results of the data collected from the minimal sampling regimes to estimates for the entire fishery was grossly inaccurate and lacked common sense; and

• The data were collected in a variety of units and effort, and comparison across the fisheries would be complex.

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Instead, to allow an estimate of bycatch across the Bioregions to be determined, a ranking of relative abundance was used for the existing data, which also allows the development of the risk assessment process. For each of the datasets the relative abundance of each species in the bycatch was ranked from 1 – 5. Those species that were rare in the bycatch were given a rank of 1 and those that were highly abundant were given a rank of 5. Accumulating these ranked scores would still not be representative of the combined fishery catch because one cannot compare the bycatch abundance rank = 1 in the Gascoyne charter fishery to the bycatch abundance rank = 1 in the Shark Bay Prawn Trawl. There are different levels of effort and catch in these two fisheries, as there is for all fisheries. Therefore, the fisheries had to be weighted according to their comparative catch abundance. Scaled-up estimates demonstrated the relative impact of fisheries on the bycatch and were used for weighting fisheries (Table 3). That is, the weighting was based on the orders of magnitude differences between the scaled-up data for the fisheries. For example when the Shark Bay Prawn Trawl data was scaled-up from the bycatch study in 2002/03 to the whole fishery based on present effort, the most abundant species that was caught numbered in the tens of millions so this fishery received a weighting of 5. The rest of the fisheries were weighted based on the order of magnitude difference from this point (see “Weight” in Table 3).

3.3 Reduction of Species List

Typical species level risk assessment processes use fishery and biological information to identify the most at risk species. Unfortunately, biological information for bycatch species is limited. Due to the limitations of time and budget, a reduction exercise was implemented to the long list of bycatch species prior to the addition of biological information. The reduction exercise used four inclusion/exclusion parameters to minimise the list to a more manageable subset. These were:

1. Is the species conservation listed? If yes, it was included.

2. Level of endemism (Scale 1 – 5; see distribution in Table 4); Included if endemic to the Bioregion (scale = 5). This is measuring the species ability to recruit from outside an impacted area should the species be depleted.

3. High relative abundance in catches: arbitrary first cut at 50% (>=20 relative abundance weighted rank)

4. Are they a primary target species in another fishery? If yes, it was included.

Note that this exercise assumes that species have no/low risk if they are excluded due to the four categories. For bycatch species, this may be problematic because of our lack of knowledge of many of the species, in terms of their range and susceptibility (life history characteristics in relation to minor fishing pressure) and rare species are likely to be excluded but they may be rare due to their vulnerability status. This limitation is discussed later in this report but it must be noted that this method was developed to be a rapid assessment from limited data.

3.4 Life History Characteristics Variables

Information on the species ranges and their life history characteristics were sourced from Fishbase, Sealife Base, GBIF, OBIS and the scientific literature. For species where no information existed, the most conservative characteristics of a similar sized species within the same genus or family was used. However if no similar species existed, then the highest rank was given for that characteristic. This occurred for seven species in the Gascoyne Coast Bioregion under the ‘Age at first reproduction’

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parameter. The life history characteristics (Table 4) chosen were limited to those that were available for the majority of species. This provided some level of confidence in the strength of the risk analysis compared with selecting a larger range of descriptive variables and placing maximum ranks to a large majority of species and potentially overestimating their overall risk.

The variables allocated were:

• Age at first reproduction – The longer it takes for a bycatch species to reproduce the greater the chance that it will be caught before it is able to add to the species’ gene pool and improve the species possible resilience. This follows the assumption of probability of breeding used by Stubutzki et al. (2001).

• Depth rank – This variable reflects the difference among species sensitivity to pressure changes. Some species of fish are known to be susceptible to barotrauma (e.g. tuskfish) while others are less so (e.g. some small serranids) or not at all (e.g. elasmobranchs). The depth that these species are caught also reflects a level of stress, which may increase post release mortality. All elasmobranch were given a score of 2 for this parameter, except the Grey Nurse Shark, which was scored 3 because it actually uses air to maintain its buoyancy (Compagno 1984). Depth rank was applied to species based on the maximum depth they would be caught in the fisheries included in this analysis, not their maximum known depth range.

• Maximum length – Larger species tend to live longer and have longer generation times than smaller species, which slows down their capacity to recover from population reductions (Roberts & Hawkins 1999).

• Mode of Reproduction – Live-bearers, egg producers and brooders generally produce less young than broadcast spawners. Therefore broadcast spawners may have a greater capacity to recover quicker (Stobutzki et al. 2001). This variable provides an idea of relative fecundity and amount of care contributed by the adults to nurture their young.

3.5 Fishery Impact Profile Variables

Five variables were also chosen to describe the fishery impact profile (Table 4) ;

• Management – this parameter describes the level that stocks of this species are managed based on biological and ecological data. Species targeted by fisheries are usually the only species that receive this type of attention. However, some species that are caught in addition to the target species are managed by default. For example, the three indicator target species of the West Coast Demersal Scalefish Fishery are the Pink snapper (Pagrus auratus), West Australian Dhufish (Glaucosoma herbraicum) and the Baldchin groper (Choerodon rubescens). These three species have been the subject of fishery, biological, ecological and genetic studies to increase understanding of their stock status, and receive a rank of 1 under the management parameter. These species are also used as a proxy for the status of the entire suite of inshore demersal species caught in that fishery (Fairclough et al. 2008). Thus, the other inshore demersal species in the fishery are managed by default, despite not necessarily having extensive biological, ecological or genetic information to directly manage that particular species. Default managed species receive a ranking of 3. Three is the maximum scores in this parameter, as all fisheries are managed to some extent and therefore all species are managed by default.

• Sum of Ranks- This parameter is the sum of all the weighted ranks assigned to a species in each of the fisheries. This is explained in full detail in the section on cumulative bycatch (above).

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• Target of another fishery - If a fishery targets a species, there should be a greater impact on the species as a whole (not contained in the bycatch analysis), than for those species that are only caught as bycatch. The species included in this parameter are those that are primary targets of fisheries as reported in the State of the Fisheries Reports (see www.fish.wa.gov.au/docs/sof/index.php).

• Conservation Listing - Only conservation-listed species in the IUCN Red list and the Environmental Protection & Biodiversity Conservation (EPBC) Act 1999 were considered. The status for each species in this study is based on the West Australian level of classification. That is, Grey Nurse Sharks are classified as critically endangered in NSW but in WA they are listed at the lower status of near threatened. So this species is ranked as a 2 rather than a 5 as it would be in NSW. Where there were differences between IUCN and EPBC assessments , the most recent assessment was used.

• Mortality- Mortality was estimated for each taxon based on current knowledge in the scientific literature. Mortality from the different fishing gears affects each species differently. Mortality data is lacking for most species, so broad generalisations about taxa were made based on the available literature and the known methods of each fishery. As an example, there have been no studies into the effects of the WA Rock Lobster Fishery on the mortality of teleost bycatch. However, the pots are pulled to the surface rapidly from an average depth of 20 m. Any teleosts in the pot at the time will potentially be subject to barotrauma injuries which can lead to mortality. Mortality was calculated as an average rank across all fisheries that impact that species within a Bioregion. For example Port Jackson shark are caught in all fisheries in the West Coast Bioregion assessment and have minimal mortality except in the demersal gillnet fisheries. Overall mortality were calculated as Gillnet: 40-60% + Trawl:0-20% + Recreational:0-20% + Charter fishers:0-20% + Pot:0-20% divided by the number of fisheries. Thus, according to Table 4 the mortality ranks would be (3 + 1 + 1 + 1 + 1)/5 = 7/5 = 1.4 mortality rank.

3.6 Threatened, Endangered and Protected Species Parameters

Different descriptive parameters were used in the TEPS risk assessment (Table 5). As TEPS are not ‘targeted by any fisheries’, this parameter was replaced by ‘other impacts’. ‘Maximum length’ was replaced by ‘maximum age’ and as the ‘Depth’ parameter was a measure of barotrauma in the swim bladder of teleosts, it was replaced by the biological variable ‘number of offspring’. Management was removed because this parameter is constant for all species that are conservation listed. The data used in both the risk assessments were also different; the T & E data is fishery independent and the TEPS data is fishery dependent. Descriptions of the new parameters are described below.

• Other Impacts – These may be anthropogenic or climate-induced. For example coastal housing and industry development may reduce turtle nesting sites. Introduction of pests to isolated islands where colonies of birds or seals exist may reduce colony size. Dredging of coastal environments may reduce sea grass habitats, decreasing turtle and dugong feeding areas. These are just three examples of many ‘other impacts’ on TEPS.

• Maximum age – Similar to maximum length, is a proxy of the species ability to recover after population disturbance. Longer lived species generally have longer generation times (Roberts & Hawkins 1999).

• Number of Offspring –Species with low numbers of offspring are expected to have reduced ability of recovering from disturbance.

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3.7 Weighting of Parameters

In risk assessment it is common practice to weight parameters used to characterise a species’ biological and fishery impact profiles depending on which is/are considered more important. The weighting of parameters will always depend on the perspective of the person or group conducting the weighting process. Therefore, this study presents the range of different perspectives, including no weighting and the average of all the weighting perspectives, to determine if some vulnerable species are identified regardless of parameter weighting. The weighted variable in each case was doubled. Some parameters categorise similar characteristics so they were double weighted together. For example;

• Reproduction - ‘mode of reproduction’ and ‘age of first reproduction’;

• Management - ‘management’ and ‘target of another fishery’.

3.8 Overall Risk Assessment Calculation

The overall risk assessment score was derived by the sum of each of the scores multiplied by the associated parameter weighting and then divided by the sum of all the parameter weights. The equation is represented by:

3.7 Weighting of Parameters

In risk assessment it is common practice to weight the parameters used to characterise

a species’ biological and fishery impact profiles depending on which is/are considered

more important. The weighting of parameters will always depend on the perspective

of the person or group conducting the weighting process. Therefore, this study

presents the range of different perspectives, including no weighting and the average of

all the weighting perspectives, to determine if some vulnerable species are common

across all parameters. The weighted variable in each case was doubled. Some

parameters categorize similar characteristics so they were double weighted together.

For example:

Reproduction - ‘mode of reproduction’ and ‘age of first reproduction.

Management - ‘management’ and ‘target of another fishery’.

3.8 Overall Risk Assessment Calculation

The overall risk assessment score was derived by the sum of each of the scores

multiplied by the associated parameter weighting and then divided by the sum of all

the parameter weights. The equation is represented by:

(1)

17

where Vi is the vulnerability score for species i, wj is the weighting for criterion j, Ri

is the parameter rank of species i for criterion j, and n is the number of criteria on

Σj=1

ΣVi =

nwjRi

j=1

j

nw

where Vi is the vulnerability score for species i, wj is the weighting for criterion j, Ri is the parameter rank of species i for criterion j, and n is the number of criteria on eachaxis (See Stobutzki et al. 2001).

The maximum possible score for the TEPS assessment was 25 because all parameters on the ‘fishery impact profile’ and the ‘life history profile’ had a maximum of 5. The maximum possible score for the T & E assessment was less due to the parameter “Management” on the ‘fishery impact profile’ having a maximum score of 3. Thus the maximum score on the ‘fishery impact profile’ and the ‘life history profile’ was 4.6 and 5, respectively, providing a maximum possible score of 23. The maximum score was divided into 5 risk category scores (Low, Low-moderate, Moderate, Moderate-High, High) (Table 6).

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4.0 Results & Discussion

4.1 Teleost & Elasmobranch (T & E) Risk Assessment

It is important to observe the relative effect of the different combinations of the weightings on the final risk assessments. Two common methods used to weight parameters include arbitrary nomination by a group of selected experts from a range of user groups in a workshop style process, or the Analytic Hierarchy Process (AHP), which uses a group of experts to independently rank each parameter against the other parameters. The relative weighting is decided using the combined ranking scores (for more detail see Forman & Gass 2001, McClanahan et al. 2008). This study presents the full range of possible combinations of weighting so the reader may decide which is more relevant to their situation. Interestingly, at least 4 of the top 5 species are the same in all combinations of the weighted parameters for both Bioregions (WCB: Table 9, GCB: Table 10) and at least 70% of the top 30 were the same species (WCB: Table 9, GCB: Table 10). Therefore, at least for this method, one might deduce that weighting of parameters is not essential.

The highest possible risk score for the teleost and elasmobranch assessment was 23. No species from either Bioregion using every possible weighting combination scored higher than ~45% of the maximum risk assessment score. It is important to note that regardless of individual species rankings in the assessment, all species received a low to low-moderate risk ranking (Table 9, 10). The species with the highest score was Heterodontus portusjacksoni in the West Coast Bioregion with a score 10.36 using double weighting on the Reproductive and Fishing parameters. The average score across all weightings for H. portusjacksoni was 8.3, and 8.4 with no weighting (Table 9). This species features relatively highly in the risk assessment because it has a high ranking for the reproductive characteristics and it is caught in moderate to high abundances in all fishery bycatch data used in this assessment. However, H. portusjacksoni appears to be very resilient to fishing impacts based on its apparently high natural abundance, resilient life history parameters (relative to other elasmobranchs) and low capture mortality rates. The Gummy Shark was placed second in the assessment. However, species identification of the genus Mustelus is quite difficult and this result may be the accumulation of three species of Mustelus. One of the major limitations of bycatch monitoring is the inability to discern different species due to lack of experience of observers or taxonomic issues, even for larger species like the gummy sharks. This always creates some level of uncertainty in the data, but must be accepted, as training resources are limited.

In the Gascoyne Coast Bioregion, Taeniura meyeni (black-blotched sting-ray) and Rhyncobatus spp. (white spot shovelnose ray) had the highest average score (8.59), non-weighted score (8.5) and the highest overall score with the parameters ‘size and management’ (10.06). As for the Gummy Shark, the Rhyncobatus spp. result is the accumulation of a number of species and therefore is not the most vulnerable in this Bioregion. The scores for these species vary between low-moderate to moderate depending on which of the parameters were double weighted (Table 10). T. meyeni is listed as vulnerable under IUCN conservation status for Chondrichthyans (Cavanagh et al. 2003). However this species is not reported in the TEPS assessment as species level data for stingrays were not available.

To test the validity of the T & E risk assessment, a species that is presumed to be vulnerable to fisheries impacts was inserted into the T & E matrix. Although not a member of the teleosts or elasmobranch groups, the species chosen was the Australian Sea Lion (Neophoca cinerea)

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(ASL). This species grows to a large size, reproduces slowly and at asynchronous times, with a small number of offspring. Although the species ranges from South Australia to Central Western Australia, there is minimal genetic exchange between colonies (Campbell et al. 2008). ASLs are air-breathing mammals and are therefore highly susceptible to fishing mortality due to drowning. Using no weighting of the parameters the risk assessment score was 14.25. This score is in the moderate-high risk category in the T & E assessment and is higher than all other species investigated in this study. ASL interactions are reportedly very low (2 in the last 4 years: log book records) in Western Australia and received a rank of 1 (very rare capture), which reduces the risk score. Whether this amount of interaction is socially acceptable requires further study.

Elasmobranchs featured highly in this risk assessment. This group of species have been assessed separately from teleosts in previous assessments due to their biological susceptibility to impacts of fishing (Stobutzki et al., 2001; Salini et al., 2007). They were included in this risk assessment to determine their relative placement to the teleosts. As expected, many elasmobranchs had higher scores than most teleosts due to their life history characteristics rather than the impact of fisheries (Table 9). Elasmobranchs hold ten of the top twenty places in the WCB (Table 9) and nine of the top twenty in the GCB (Table 10). Life history characteristics that make elasmobranchs more susceptible in risk assessment methods include large maximum length and reproductive characteristics such as small numbers of live young relative to spawning of most teleosts (WCB: Table 7, GCB: Table 8). These characteristics make them inherently vulnerable to fishing, with some fisheries having impacted some species of shark. Mortality caused by incidental fishery interactions, while low, may hinder management interventions in shark fisheries to replenish these stocks.

Most elasmobranchs have relatively low capture rates as by-catch within West Australian fisheries and due to mitigation devices such as bycatch reduction devices (BRDs) in non-selective trawl fisheries in recent years, the catch of large animals, including elasmobranchs, has been reduced by 95-100% from the levels reported in the Exmouth and Shark Bay Prawn Trawl fisheries in this study (Kangas & Thomson 2004). However, fishery interactions with juveniles or smaller shark and ray species are not necessarily being mitigated by these devices and further studies are required to minimise this impact (Stobutzki et al. 2002, Kangas & Thomson 2004). Furthermore, all sharks and rays were commercially protected in November 2006, which prohibited retention of elasmobranchs bycatch in all but three fisheries in the GCB and WCB (with the exception of the the two demersal gillnet and demersal longline fisheries and the Marine Aquarium Fish Fishery).

A number of TEPS are recorded in the fishery independent data and included in the T & E assessment but do not accumulate high-risk scores. In the GCB the two rays, Taeniura meyeni and Dasyatis leylandi, are ranked 1st and 8th with scores of 8.59 and 7.02, respectively (Table 10). In the West Coast Bioregion there are two sharks (Carcharias taurus and Carcharodon carcharias) and one sea horse in the top twenty species. However all three species are considered low-moderate risk with scores less than 7.03 (Table 9). Most of the TEPS in this assessment are caught in relatively low numbers. Whether this is because there are few individuals, or fishers avoid them by behaviour or mitigation devices, is yet to be determined. Monthly (Catch and effort statistics) and daily logbook reporting forms require fishers to report all interactions with TEPS, which is common practice in many fisheries around the world. However some observer programs have found discrepancies between estimated catch rates of some TEPS and the reported catch rate using these fishery-dependent reporting forms (National Seal Strategy Group 2007). Only one study comparing TEPS interactions reported by skippers and observers

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Fisheries Research Report [Western Australia] No. 212, 2010 11

has been conducted in commercial fisheries in Western Australia. The study in the Pilbara Trawl Fishery found no general pattern of under-reporting (Stephenson et al. 2008), in fact the skipper reported slightly more interactions than the observer for six of nine species of TEPS.

4.2 Threatened, Endangered and Protected Species (TEPS) Risk Assessment

It is important to note that the risk assessment scores for the T & E assessment are not directly comparable to the risk assessment scores for the TEPS, as different parameters and data sets were used. Interestingly, even with different data sets and different risk assessment parameters, the risk categories for species that exist in both risk assessments were similar (C. carcharias & C. Taurus were low-moderate in both). These similarities may be further evidence of the consistency of the method used in this study. No species level data existed in the syngnathid group of the TEPS assessment so direct comparison is not viable. However, syngnathids were ranked as low in the TEPS assessment and the highest ranked syngnathid was low-moderate in the T & E assessment.

4.3 Why do most TEPS have low to moderate scores?

As is expected, the biological scores for all the TEPS were relatively high, an important contributor to the reason for their status as conservation listed species. However, the fishery impact profile is very low. This is driven by low reported catch rates, relatively low mortality rates (except for pinnipeds and dolphins in the current data) and very wide distributions (GCB: Table 13, WCB: Table 14, SCB: Table 15). It is important to note that fishing is not the only impact on many protected species. Other impacts, such as human development or climate related changes, may have significantly greater impact on many TEPS. Australian Sea Lion (ASL) are the one exception to the low to moderate scores (GCB: Table 16, WCB: Table 17, SCB: Table 18). ASL scores and ranks are moderate to moderate-high (Table 18) because it has a 100% mortality in reported interactions (despite the low observed catch, n=1), and although it has a relatively wide distribution, there is a high level of philopatry and genetic subdivision, especially for female ASL throughout their distribution (Campbell et al. 2008). There are also several impacts other than fishing, including expanding human populations, industrial development and eco-tourism (National Seal Strategy Group 2007). These factors also impact turtles as is reflected in the risk assessment but turtles do not have a similar ranking to the ASL (GCB: Table 19, WCB: Table 20, SCB: Table 21). Thus the main reason for the increased score for ASL is high mortality rate post fishery-interaction and the potential impact of the mortality on the individual populations (i.e. high score for distribution reflecting high genetic endemism) regardless of the rare interaction rates and the existence of a single record of interaction in a commercial fishery in Western Australia.

4.4 Assessment of the collected bycatch data

The relative amount of bycatch and the sampling methods of the fisheries in each Bioregion create a level of bias in the final list based on a species’ life history characteristics. For example, in the GCB, the list reflects those species that have life history characteristics that are susceptible to trawling. Those species with the highest vulnerability are bottom-dwelling brooders (e.g. catfish), elasmobranchs (e.g. rays) or schooling juvenile species that recruit to low relief sandy areas (Lethrinus punctulatus: Blue-spotted Emperor). The majority of the remaining species

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12 Fisheries Research Report [Western Australia] No. 212, 2010

are small-bodied, poor swimmers that inhabit sandy bottoms. In the WCB most species reflect the impact of gillnets and wet-lining techniques. That is, they are mostly large bodied teleosts and elasmobranchs. This bias does not allow true representation of the Bioregion because not all fisheries were represented equally, some fisheries have minimal data, and others none at all. This is a limitation of this study that requires attention. For example, the data for the South West Trawl are nearly 20 years old and the Abrolhos scallop trawling bycatch data are unavailable (due to confidentiality) for this analysis although teleost bycatch in this scallop fishery is minimal and since 2005, large animal capture is minimised because of grids (FEDs) in nets. To fully investigate the cumulative impacts of multiple fisheries within a Bioregion a study must have data from all the fisheries to be confident that the study represents the risk to all species in the Bioregion.

4.5 Assessment of method

A general limitation for all risk assessments using catch data is the inability to discern catch due to large abundances or catch because the species is vulnerable to the gear; particularly with bycatch species, of which we have very little ecological and biological understanding. The RRAMF method automatically assumes species that are a) not caught in high numbers, b) not a TEPS, c) not a target of another fishery, and d) are widely distributed, are not considered high priority in regards to risk from the combined effort of WA’s fishing fleets, including recreational and charter fishers. This assumption may not apply to some species, but when the goal is to prioritise and focus on the cumulative impact of fisheries species, these assumptions are required. This method produced similar results as depletion experiments investigating vulnerability (to trawl gear) of fish species in GCB fisheries, which demonstrated that eight species had depletion rates of >50% which were termed ‘vulnerable’ or more ‘catchable’ (Kangas et al. 2007). All eight species made the GCB final list in this study via the risk assessment process, indicating that this method produces similar results. Transferability and repeatability are the main goals of designing a risk assessment (Astles et al. 2006), which was demonstrated by the similar risk scores for TEPS when the methods were transferred from the fishery independent data to the fishery dependent TEPS data. Repeatability in this study was aided by the clear documentation of decision rules, and the identification of all possible weighting scenarios presented to the public, minimising the need for collective expert opinion in the risk assessment design as seen in previous studies (Fletcher et al. 2002, Fletcher et al. 2005).

The results presented here are limited by the quality, amount and availability of recent data relative to the number of fisheries State-wide. The results represented in the T & E risk assessment for some of the fisheries represent old information that is not relevant to the current situation due to changes in input and output measures introduced since the data was collected. This initial risk assessment is a demonstration of the methods, but the results should be interpreted with caution until more recent data is available to be analysed. The impact of future changes in the fisheries will need to be assessed at regular intervals. One fishery that has potential for increased pressure on fish stocks is the South West Trawl. There is a large amount of latent effort (both in number of participating boats and the spatial extent of their fishing activities) in this fishery and if activated, there will be greater pressure on all levels of catch in that fishery. Overall results in this study suggest that bycatch is low to moderate, and most fisheries in this study have either had their effort restricted or have introduced mitigation devices since the data was collected, which are likely to reduce the risk to many of the species in this study.

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Fisheries Research Report [Western Australia] No. 212, 2010 13

5.0 ReferencesAstles, K. L., M. G. Holloway, A. Steffe, M. Green, C. Ganassin, and P. J. Gibbs. 2006. An ecological

method for qualitative risk assessment and its use in the management of fisheries in New South Wales, Australia. Fisheries Research 82:290-303.

Campbell, R. A., N. J. Gales, G. M. Lento, and C. S. Baker. 2008a. Islands in the sea: extreme female natal site fidelity in the Australian sea lion, Neophoca cinerea. Biology Letters 4:139-142.

Cavanagh R. D. (ed)., P. M. Kyne(ed)., S. L. Fowler (ed)., J. A. Musick (ed)., and M. B. Bennett (ed). 2003. The conservation status of Australian Chondrichthyans: Report of the IUCN shark speciealist Group Australia and Oceania regional red list workshop. The University of Queensland, School of Biological Sciences, Brisbane, Australia. 170 pp.

Compagno L.J.V. 1984. FA0 Species Catalogue, Vol. 4. Sharks of the World. An annotated and illustrated catalogue of shark species known to date. Part 1, Hexanchiformes to Lamniformes. FA0 Fisheries Synopsis, No.125,Vol.4, Pt1, 249 pp.

Fairclough D., Johnson C. & Lai E. 2008. West Coast Demersal Scalefish Fishery Status Report. Fletcher, W. J. and Santoro, K. Department of Fisheries. Western Australia. State of the Fisheries Report 2008/09. Pp 71-79.

Fletcher, W. J. 2005. The application of qualitative risk assessment methodology to prioritize issues for fisheries management. ICES Journal of Marine Science: Journal du Conseil 62:1576-1587.

Fletcher W.J., J. Chesson, M. Fisher, K.J. Sainsbury, T. Hundloe, A.D.M. Smith & B.Whitworth. 2002. National ESD Reporting Framework for Australian Fisheries: The ‘How To’ Guide for Wild Capture Fisheries. Australia. FRDC Project 2000/145, Canberra.

Fletcher, W. J., J. Chesson, K. J. Sainsbury, T. J. Hundloe, and M. Fisher. 2005. A flexible and practical framework for reporting on ecologically sustainable development for wild capture fisheries. Fisheries Research 71:175-183.

Forman, E. H., and S. I. Gass. 2001. The Analytic Hierarchy Process - An exposition. Operations Research 49:469-486.

Goldsworthy, S. D., and B. Page. 2007. A risk-assessment approach to evaluating the significance of seal bycatch in two Australian fisheries. Biological Conservation 139:269-285.

Hobday, A.J., A. D. M. Smith, C. Bulman, R. Daley, J. Dambacher, R. Deng, J. Dowdney, M. Fuller, D. Furlani, S. P. Griffiths, D. Johnson, R. Kenyon, I. Knuckey, S. Ling, R. Pitcher, K. Sainsbury, M. Sporcic, T. Smith, I. Stobutzki, T. Walker, S. Wayte, H. Webb, A. Williams, B. Wise, S. Zhou. In Press. Ecological Risk Assessment for the Effects of Fishing. Submitted to Fish and Fisheries.

Kangas M.I., S. Morrison, P. Unsworth, E. Lai, I. Wright & A. Thomson. 2007. Development of biodiversity and habitat monitoring systems for key trawl fisheries in Western Australia. Final report to FRDC on Project No. 2002/038, Fisheries Research Report No.160, Department of Fisheries, Western Australia. 334 pp.

Kangas M.I. & A. Thomson. 2004. Implementation and assessment of bycatch reduction devices in the Shark Bay and Exmouth Gulf trawl fisheries. Final report FRDC 2000/189. 70 pp.

Kelleher K. 2005. Discards in the world’s marine fisheries. An update., FAO Fisheries Technical Paper 470 edition. FAO, Rome, Italy.

McAuley, R. 2009. Demersal Gillnet and Longline Fisheries Status report in W. J. Fletcher, and K. Santoro editors. State of the fisheries report 2007/08. Department of Fisheries, Western Australia pp. 26-34.

McClanahan, T. R., J. E. Cinner, J. Maina, N. A. J. Graham, T. M. Daw, S. M. Stead, A. Wamukota, K. Brown, M. Ateweberhan, V. Venus, and N. V. C. Polunin. 2008. Conservation action in a changing climate. Conservation Letters 1:53-59.

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14 Fisheries Research Report [Western Australia] No. 212, 2010

National Seal Strategy Group. 2007. National Assessment of Interactions between Humans and Seals: Fisheries, Aquaculture and Tourism. Australian Government Department of Agriculture, Fisheries and Forestry, Canberra ACT 2601.

Roberts, C. M., and J. P. Hawkins. 1999. Extinction risk in the sea. Trends in Ecology & Evolution 14:241-246.

Salini J, R. McAuley, S. Blaber, R. Buckworth, J. Chidlow, N. Gribble, J. Ovenden, S. Peverell, R. Pillans, J. Stevens, I. Stobutzki, C. Tarca and C. Walker. 2007. Northern Australian Sharks and Rays: the sustainability of target and bycatch species, Phase 2. Report to Fisheries Research and Development Cooperation for FRDC project no. 2002/064.

Smith, A. D. M., E. J. Fulton, A. J. Hobday, D. C. Smith, and P. Shoulder. 2007. Scientific tools to support the practical implementation of ecosystem-based fisheries management. ICES Journal of Marine Science: Journal du Conseil 64:633-639.

Stephenson P.C., S. Wells & J.A. King. 2008. Evaluation of exclusion grids to reduce the catch of dolphins, turtles, sharks and rays in the Pilbara trawl fishery. 2008. DBIF Funded Project. Fisheries Research Report No. 171, Department of Fisheries Western Australia, 24 pp.

Stobutzki, I., M. Miller, and D. Brewer. 2001. Sustainability of fishery bycatch: a process for assessing highly diverse and numerous bycatch. Environmental Conservation 28:167-181.

Stobutzki, I. C., M. J. Miller, D. S. Heales, and D. T. Brewer. 2002. Sustainability of elasmobranchs caught as bycatch in a tropical prawn (shrimp) trawl fishery. Fishery Bulletin 100:800.

Zhou, S., & S. P. Griffiths. 2008. Sustainability Assessment for Fishing Effects (SAFE): A new quantitative ecological risk assessment method and its application to elasmobranch bycatch in an Australian trawl fishery. Fisheries Research 91:56-68.

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Fisheries Research Report [Western Australia] No. 212, 2010 15

Tabl

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f fis

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t Coa

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16 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

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g of

Nin

galo

o M

arin

e P

ark

in S

ep 2

005

Rec

reat

iona

l Fis

hing

from

Boa

t lic

ence

Mar

201

0E

xmou

th P

raw

n M

anag

ed F

ishe

ry04

Turtl

e ex

clus

ion

devi

ces

intro

duce

d in

200

2S

quar

e m

esh

pane

ls (f

ish

esca

pe d

evic

es) i

ntro

duce

d in

200

5H

oppe

rs p

rogr

essi

vely

intro

duce

d si

nce

2002

with

all

boat

s ha

ving

ho

pper

s by

200

7.Te

stin

g th

e be

nefit

s of

usi

ng s

quar

e m

esh

cod-

ends

200

9/10

Bio

dive

rsity

stu

dy (F

RD

C 2

002/

038)

foun

d no

diff

eren

ce b

etw

een

traw

led

and

non-

traw

led

area

sG

asco

yne

Cha

rter F

ishe

ry02

-08

Spe

cies

-spe

cific

bag

lim

its (e

.g.,

4 sp

angl

ed e

mpe

ror)

- 20

06C

hang

es to

spe

cies

-spe

cific

min

imum

lega

l siz

es –

200

6 R

ezon

ing

of N

inga

loo

Mar

ine

Par

k in

Sep

200

5 R

ecre

atio

nal F

ishi

ng fr

om B

oat l

icen

ce M

ar 2

010

New

per

mits

requ

ired

to o

pera

te in

the

Nin

galo

o M

arin

e P

ark

Sha

rk B

ay S

napp

er M

anag

ed F

ishe

ry

(will

bec

ome

Gas

coyn

e D

emer

sal

Sca

lefis

h Fi

sher

y 1s

t Sep

t 201

0)

03-0

9P

rohi

bitio

n on

wet

linin

g in

the

SB

SF

man

agem

ent z

one

(May

200

4)S

napp

er T

AC

C re

duce

d by

40%

in 2

004

and

20%

in 2

007

30 d

ay li

mit

on u

se o

f SB

SF

entit

lem

ent c

atch

quo

ta (1

00 u

nits

) – 2

009

Page 21: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 17

Tabl

e 2.

con

tB

iore

gion

Fish

ery

Year

(s)

Cha

nges

sin

ce d

ata

colle

cted

Wes

t Coa

stD

emer

sal G

illne

t and

Lon

glin

e Fi

sher

y (in

cl.

Sou

th C

oast

)94

-99

30%

redu

ctio

n in

effo

rt ca

paci

ty (3

5%-4

8% re

duct

ion

in a

ctiv

e ef

fort)

37%

redu

ctio

n in

act

ive

DG

DLF

ves

sels

Ann

ual 2

mon

th c

losu

re b

etw

een

118°

E lo

ngitu

de a

nd 2

6° 3

0’ S

latit

ude

Clo

sure

of f

ishe

ry in

Per

th M

etro

polit

an re

gion

in N

ovem

ber 2

007.

Com

mer

cial

pr

otec

tion

of s

hark

s an

d ra

ys th

roug

hout

WA

(som

e ex

cept

ions

)B

an o

n m

etal

sno

ods

outs

ide

the

Nor

ther

n S

hark

and

Mac

kere

l Fis

herie

sR

ecre

atio

nal f

ishi

ng05

-09

Red

uctio

ns in

spe

cies

-spe

cific

bag

lim

its a

nd b

oat l

imits

(e.g

. Wes

t Aus

tralia

n D

hufis

h no

w o

ne p

er p

erso

n) a

nd m

ixed

-dai

ly b

ag li

mits

per

ang

ler

Two

mon

th s

easo

nal c

losu

re fo

r hig

h ris

k sp

ecie

s (in

trodu

ced

2009

/10)

Incr

ease

in m

inim

um le

gal s

ize

for p

ink

snap

per s

outh

of 3

1ºS

-115

º30E

to

500

mm

as

at J

anua

ry 2

010

Intro

duct

ion

of a

fish

ing

from

boa

t lic

ence

201

0W

est C

oast

Roc

k Lo

bste

r Fis

hery

06-0

8C

atch

redu

ced

by a

ppro

xim

atel

y 70

% fr

om 2

008

to 2

010.

Wes

t Coa

st C

harte

r Fis

hery

02-0

8R

estri

ctio

ns to

bag

and

boa

t lim

its –

see

Rec

reat

iona

l abo

veS

outh

Wes

t Tra

wl

91-9

2Lo

w n

umbe

r of b

oats

ope

ratin

g in

rece

nt y

ears

. Stil

l pot

entia

l to

activ

ate

late

nt

effo

rt.

Page 22: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

18 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 3.

B

ycat

ch d

ata

colle

cted

from

com

mer

cial

, cha

rter a

nd re

crea

tiona

l fis

herie

s in

the

Gas

coyn

e C

oast

and

Wes

t Coa

st B

iore

gion

s sh

owin

g un

its o

f co

llect

ion,

met

hods

of c

olle

ctio

n, a

mou

nt o

f obs

erve

r cov

erag

e, y

ears

of t

he s

tudy

, the

rang

e of

the

catc

hes

per u

nit,

the

rank

s of

the

spec

ies

catc

hes

and

wei

ghtin

g fo

r the

fish

erie

s. R

ecor

ding

tech

niqu

e de

scrib

es th

e w

ay in

whi

ch d

ata

was

col

lect

ed. R

esea

rch:

fish

ery

inde

pend

ent d

ata

colle

cted

by

scie

ntis

ts fo

r a p

artic

ular

pur

pose

; Obs

erve

r: fis

hery

inde

pend

ent d

ata

colle

cted

by

peop

le o

n ve

ssel

to id

entif

y ca

tch

amou

nts

and

type

s; L

ogbo

oks:

fish

ery

depe

nden

t dat

a pr

ovid

ed b

y fis

hers

.

Fish

ery

Gas

coyn

e C

oast

Bio

regi

onB

oth

Bio

regi

ons

Wes

t Coa

st B

iore

gion

Shar

k B

ay

Praw

nSh

ark

Bay

Sn

appe

rEx

mou

th G

ulf

Praw

nC

hart

erR

ecre

atio

nal

Dem

ersa

l G

illne

t and

Lo

nglin

e

Sout

h W

est

Traw

lW

est C

oast

R

ock

Lobs

ter

Uni

t#/

nm

#/ho

ur#

/nm

Tota

l Num

ber

Tota

l rep

orte

d ca

tch

# C

aptu

red

# C

aptu

red

from

repo

rt#/

1000

pot

lifts

Rec

ordi

ng

tech

niqu

eS

cien

tific

R

esea

rch

Obs

erve

rS

cien

tific

R

esea

rch

Com

puls

ory

Logb

ooks

Volu

ntar

y Lo

gboo

ksO

bser

ver

Sci

entif

ic

Res

earc

hO

bser

ver

Cov

erag

e<1

2 x

10 m

in.

traw

ls a

t 26

site

s ov

er 0

2/03

5-58

hrs/

yr<1

2 x

10 m

in.

traw

ls a

t 26

site

s ov

er 2

004

Ann

ual

420

Logb

ooks

2-20

%

depe

ndin

g on

su

b-re

gion

36 x

15

min

tra

wls

1.2%

Year

s of

stu

dy20

02-2

003

2003

- 20

0920

0420

02/3

–20

08/9

2005

- 20

0919

94 -

1999

1991

- 19

9220

06/7

2007

/8R

ange

of c

atch

0.01

- 10

00.

07 –

1.5

0 - 3

070.

1 - 5

210

0.2

- 801

<1 -

2300

0 - 5

500

0.03

– 2

.22

Wei

ghtin

g5

24

13

23

2

Ran

k

10.

01 –

0.1

0.07

– 0

.10.

1 –1

0.1

- 10.

2 –

10.

1 - 1

0.1

- 10.

03 –

0.0

5

20.

11 –

1.0

0.11

– 0

.21.

1 –

101.

1 - 1

01.

1 –

501.

1 - 1

01.

1 - 1

00.

051

– 0.

1

31.

1 - 1

00.

21 –

0.5

10.1

– 5

010

.1 –

100

50.1

– 2

0010

.1 –

100

10.1

– 1

000.

11 –

0.5

410

.1 -

500.

51 –

150

.1 –

100

101

– 10

0020

0.1

– 40

010

1 –

1000

101

– 10

000.

51 –

1

5>5

0>1

>100

>100

0>4

00>1

000

>100

0>1

Page 23: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 19

Tabl

e 4.

B

ycat

ch p

aram

eter

s an

d re

lativ

e ra

nks

used

to d

eter

min

e by

catc

h ris

k fo

r Tel

eost

and

Ela

smob

ranc

hs in

the

Gas

coyn

e an

d W

est

Coa

st B

iore

gion

s.

Fish

ery

Impa

ct P

aram

eter

sB

iolo

gica

l Par

amet

ers

Man

agem

ent

Sum

of

catc

h ra

nks

Targ

et o

f an

othe

r fis

hery

Con

serv

atio

n Li

stin

gD

istr

ibut

ion

Mor

talit

y %

Age

at 1

st

Rep

rodu

ctio

n (y

rs)

Dep

th (m

) ra

nkM

axim

um

Leng

th

(cm

)

Mod

e of

re

prod

uctio

n

1S

peci

es is

m

anag

ed

base

d on

ca

tch

trend

s an

d bi

olog

ical

st

udie

s.

1 - 1

0R

ank

rela

tive

to th

e nu

mbe

r of

fish

erie

s ta

rget

ing

the

spec

ies.

Eg.

3

fishe

ries

targ

etin

g a

spec

ies

gets

a ra

nk

of 4

, and

no

fishe

ries

gets

a

rank

of 1

.

Leas

t Con

cern

>1 O

cean

B

asin

0 - 2

0<2

1 - 1

01

- 20

Bro

adca

st

Spa

wn

2na

>10

– 20

Nea

r Th

reat

ened

With

in o

cean

ba

sin

21 -

40na

>10

– 20

>20

– 50

na

3S

peci

es is

m

anag

ed

by p

roxy

be

caus

e of

an

indi

cato

r sp

ecie

s fro

m

rank

1

>20

– 30

Vuln

erab

leA

ustra

lia a

nd

NZ

41 -

602

- 4>2

0 –

100

& m

ost

elas

mob

ra-

nchs

>50

– 10

0B

rood

4na

>30

– 40

End

ange

red

Onl

y re

cord

ed

in W

A. (

>1

Bio

regi

on)

61 -

80na

>100

– 2

00>1

00 -

200

na

5R

ecei

ving

no

man

agem

ent

>40

Crit

ical

ly

End

ange

red

Onl

y re

cord

ed

in o

ne W

A B

iore

gion

.

81 -

100

>4>2

00>2

00Li

ve/e

ggs

with

no

par

enta

l ca

re

Page 24: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

20 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 5.

B

ycat

ch p

aram

eter

s an

d re

lativ

e ra

nks

used

to d

eter

min

e by

catc

h ris

k fo

r Thr

eate

ned,

End

ange

red

and

Pro

tect

ed S

peci

es in

the

Gas

coyn

e, W

est a

nd S

outh

Coa

st B

iore

gion

s.

Fish

ery

Impa

ct P

aram

eter

sB

iolo

gica

l Par

amet

ers

Sum

of

catc

h ra

nks

Oth

er Im

pact

sC

onse

rvat

ion

List

ing

Dis

trib

utio

nM

orta

lity

%A

ge a

t 1st

R

epro

duct

ion

(yrs

)

Dep

th (m

) ra

nkM

axim

um

Leng

th

(cm

)

Mod

e of

re

prod

uctio

n

10.

5 - 1

No

othe

r im

pact

sLe

ast C

once

rn>1

Oce

an

Bas

in0

- 20

<2>=

501

Bro

adca

st

Spa

wn

2>1

– 2

NA

Nea

r Th

reat

ened

With

in o

cean

ba

sin

21 -

4010

– 5

0>1

– 1

0B

rood

3>2

– 5

Som

e im

pact

s th

at

affe

ct o

nly

one

stag

e of

the

life

cycl

e e.

g se

abird

ne

sts

dist

urbe

d by

ro

dent

s

Vuln

erab

leA

ustra

lia a

nd

NZ

41 -

602

- 4>1

- 10

>10

– 20

Live

/egg

with

ad

ult c

are

4>5

– 1

0N

AE

ndan

gere

dO

nly

reco

rded

in

WA

. (>1

B

iore

gion

)

61 -

80>0

.5 –

1>2

0 - 5

0Li

ve

5>1

0N

umer

ous

impa

cts

affe

ctin

g al

l life

-st

ages

eg.

Tur

tles-

ad

ults

are

affe

cted

by

boa

t stri

kes,

an

d th

eir a

bilit

y to

ne

st d

ue to

coa

stal

de

velo

pmen

t.

Crit

ical

ly

End

ange

red

Onl

y re

cord

ed

in o

ne W

A B

iore

gion

.

81 -

100

>4<0

.5>5

0La

ying

sev

eral

eg

gs w

ith n

o ad

ult c

are

Page 25: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 21

Table 6. Division of scores showing colour ratings for risk categories for ‘threatened, endangered and protected species’ and ‘teleost and elasmobranch’ assessments.

Low Low - Moderate

Moderate Moderate - High

High

Protected Species 1 to 5 5.1 to 10 10.1 to 15 15.1 to 20 20.1 to 25

Teleost and Elasmobranch 1 to 4.5 >4.5 to 9 >9 to 13.5 >13.5 to 18 >18 to 23

Page 26: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

22 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 7.

R

anki

ngs

for t

he b

iolo

gica

l pro

file

and

the

Fish

ery

Impa

ct P

rofil

e fo

r eac

h of

the

tele

ost a

nd e

lasm

obra

nch

spec

ies

iden

tifie

d af

ter t

he fi

rst c

ut

in th

e W

est C

oast

Bio

regi

on. D

ist.:

Dis

tribu

tion;

Con

s. L

ist:

Con

serv

atio

n Li

stin

g.

Bio

logi

cal P

rofil

eFi

sher

y Im

pact

pro

file

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eD

epth

ra

nkA

ge

at 1

st

repr

o.

Max

Le

ngth

Mod

e of

re

pro.

Dis

t.M

anag

eSu

m o

f R

anks

Targ

et o

f an

othe

r fis

hery

Con

s.

list

Mor

talit

y

Ara

cani

dae

Box

fish

Ano

ploc

apro

s ro

bust

us3

32

12

33

11

3.5

Arr

ipid

aeH

errin

g,

Aus

tralia

nA

rrip

is g

eorg

ianu

s2

32

13

32

31

2.33

3333

Arr

ipid

aeS

alm

on,

Aus

tralia

nA

rrip

is tr

utta

ceus

43

31

33

12

11

Ber

ycid

aeS

napp

er, R

ed

(Nan

nyga

i)C

entro

bery

x ge

rrar

di5

53

13

31

21

2

Car

angi

dae

San

d tre

vally

Pse

udoc

aran

x w

right

i3

32

13

33

11

2.33

3333

Car

angi

dae

Sca

d, Y

ello

wta

ilTr

achu

rus

nova

ezel

andi

ae4

13

11

32

31

3.5

Car

char

hini

dae

Sha

rk, B

lack

tip

Car

char

hinu

s sp

p.2

55

51

31

12

1

Car

char

hini

dae

Sha

rk, S

andb

arC

arch

arhi

nus

plum

beus

25

55

11

12

31

Car

char

hini

dae

Sha

rk, T

iger

Gal

eoce

rdo

cuvi

er2

55

51

31

13

1

Car

char

hini

dae

Sha

rk, B

lue

(Blu

e W

hale

r)P

riona

ce g

lauc

a2

55

51

31

13

1

Clu

peid

aeS

andy

spr

atH

yper

loph

us v

ittat

us2

11

13

11

31

5

Clu

peid

aeH

errin

g, P

erth

Nem

atal

osa

vlam

ingh

i2

32

15

11

31

1

Clu

peid

aeB

lue

spra

tS

prat

ello

ides

robu

stus

31

11

33

13

11

Eng

raul

idae

Aus

tralia

n an

chov

yE

ngra

ulis

aus

tralis

31

11

33

12

15

Ger

reid

aeS

ilver

belly

, S

outh

ern

Par

equu

la

mel

bour

nens

is3

12

13

33

11

3.5

Gla

ucos

omat

idae

Dhu

fish,

Wes

t A

ustra

lian

Gla

ucos

oma

hebr

aicu

m4

34

14

13

21

3.25

Hem

iram

phid

aeS

outh

ern

sea

garfi

shH

ypor

ham

phus

m

elan

ochi

r2

33

11

32

21

3

Page 27: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 23

Tabl

e 7.

con

t.B

iolo

gica

l Pro

file

Fish

ery

Impa

ct p

rofil

eFa

mily

Com

mon

nam

eSp

ecie

s na

me

Dep

th

rank

Age

at

1st

re

pro.

Max

Le

ngth

Mod

e of

re

pro.

Dis

t.M

anag

eSu

m o

f R

anks

Targ

et o

f an

othe

r fis

hery

Con

s.

list

Mor

talit

y

Het

erod

ontid

aeP

ort J

acks

on

Sha

rkH

eter

odon

tus

portu

sjac

kson

i2

53

53

34

11

1.4

Kyp

hosi

dae

Sw

eep,

Fo

otba

ller

Nea

typu

s ob

liquu

s3

32

13

33

11

2.75

Labr

idae

Gro

per,

Bal

dchi

nC

hoer

odon

rube

scen

s4

33

14

12

21

2.3

Lam

nida

eG

reat

Whi

te

Sha

rkC

arch

arod

on c

arch

aria

s2

55

51

11

13

3

Leth

rinid

aeE

mpe

ror,

Sw

eetli

p (R

ed

Thro

at)

Leth

rinus

min

iatu

s3

33

12

32

21

2

Leth

rinid

aeE

mpe

ror,

Spa

ngle

dLe

thrin

us n

ebul

osus

43

31

13

12

12

Mug

ilida

eM

ulle

t, Ye

llow

E

ye (P

ilch)

Ald

riche

tta fo

rste

ri1

33

12

11

31

1

Mug

ilida

eM

ulle

t, S

eaM

ugil

ceph

alus

13

41

11

13

11

Neo

seba

stid

aeG

urna

rd

Per

ches

Neo

seba

stes

pan

dus

45

31

23

31

12.

75

Odo

ntas

pidi

dae

Gre

y N

urse

S

hark

sC

arch

aria

s ta

urus

35

55

11

21

21

Plo

tosi

dae

Cob

bler

Cni

dogl

anis

m

acro

ceph

alus

23

33

31

22

13.

5

Pom

acen

trida

eS

caly

fin,

Com

mon

Par

ma

mcc

ullo

chi

21

21

53

11

11

Pom

atom

idae

Tailo

rP

omat

omus

sal

tatri

x3

14

11

33

41

2.3

Ser

rani

dae

Leop

ard

Wirr

ahA

cant

hist

ius

pard

alot

us3

33

15

31

11

3

Ser

rani

dae

Cod

, Bre

akse

a (B

lack

-ars

e C

od)

Epi

neph

elid

es a

rmat

us3

33

14

33

23

2.3

Ser

rani

dae

Cod

, Fro

stba

ckE

pine

phel

us b

iloba

tus

33

21

53

11

12

Page 28: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

24 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 7.

con

t.B

iolo

gica

l Pro

file

Fish

ery

Impa

ct p

rofil

eFa

mily

Com

mon

nam

eSp

ecie

s na

me

Dep

th

rank

Age

at

1st

re

pro.

Max

Le

ngth

Mod

e of

re

pro.

Dis

t.M

anag

eSu

m o

f R

anks

Targ

et o

f an

othe

r fis

hery

Con

s.

list

Mor

talit

y

Sill

agin

idae

Whi

ting,

Kin

g G

eorg

eS

illag

inod

es p

unct

ata

23

31

31

23

12.

3

Sill

agin

idae

Whi

ting,

Sch

ool

Sou

ther

n /

Silv

er

Sill

ago

bass

ensi

s3

32

13

33

11

3

Sill

agin

idae

Whi

ting,

Yel

low

-Fi

nned

(Wes

tern

S

and)

Sill

ago

scho

mbu

rgki

i1

32

13

11

21

1

Sill

agin

idae

Whi

ting,

W

este

rn S

choo

lS

illag

o vi

ttata

33

21

41

22

12.

3

Spa

ridae

Bre

am, B

lack

Aca

ntho

pagr

us b

utch

eri

23

31

33

22

12

Spa

ridae

Sna

pper

, Pin

kP

agru

s au

ratu

s4

34

12

13

41

2.3

Spa

ridae

Bre

am, S

ilver

(T

arw

hine

)R

habd

osar

gus

sarb

a3

13

12

33

11

2.3

Sph

yrni

dae

Sm

ooth

ha

mm

erhe

adS

phyr

na z

ygae

na2

35

51

31

11

3

Syn

gnat

hida

eTi

ger p

ipef

ish

Filic

ampu

s tig

ris2

32

33

31

13

1

Syn

gnat

hida

eS

awto

oth

pipe

fish

Mar

oubr

a pe

rser

rata

23

13

33

11

31

Syn

gnat

hida

eLe

afy

sead

rago

nP

hyco

duru

s eq

ues

33

23

31

11

31

Syn

gnat

hida

eC

omm

on

sead

rago

nP

hyllo

pter

yx ta

enio

latu

s3

32

33

31

14

1

Syn

gnat

hida

eS

potte

d pi

pefis

hS

tigm

atop

ora

argu

s1

32

33

31

13

1

Tetra

odon

tidae

Blo

wfis

h,

Com

mon

Torq

uige

ner

pleu

rogr

amm

a3

12

13

33

11

2.3

Tetra

odon

tidae

Ora

nge-

spot

ted

puffe

rfish

Torq

uige

ner v

icin

us3

12

15

31

11

5

Tria

kida

eS

hark

, Whi

sker

yFu

rgal

eus

mac

ki2

54

53

11

22

1

Tria

kida

eS

hark

, Gum

my

Mus

telu

s sp

p.2

54

53

12

22

1.67

Page 29: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 25

Tabl

e 8.

R

anki

ngs

for t

he b

iolo

gica

l pro

file

and

the

Fish

ery

Impa

ct P

rofil

e fo

r eac

h of

the

tele

ost a

nd e

lasm

obra

nch

spec

ies

iden

tifie

d af

ter t

he fi

rst

cut i

n th

e G

asco

yne

Coa

st B

iore

gion

. Dis

t.: D

istri

butio

n; C

ons.

Lis

t: C

onse

rvat

ion

List

ing.

Bio

logi

cal P

rofil

eFi

sher

y Im

pact

pro

file

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eD

epth

ra

nkA

ge a

t 1st

re

pro.

M

ax

Leng

thM

ode

of

repr

o.D

ist.

Man

age

Sum

of

Ran

ksTa

rget

of

anot

her

fishe

ry

Con

s.

list

Mor

talit

y

Apl

oact

inid

aeVe

lvet

fish,

B

eard

edP

arap

loac

tis in

tons

a3

51

15

31

11

5

Apo

goni

dae

Car

dina

lfish

, M

any-

band

edA

pogo

n br

evic

auda

ta3

11

32

33

11

5

Apo

goni

dae

Car

dina

lfish

, C

avite

Apo

gon

cavi

tiens

is3

11

31

33

11

5

Apo

goni

dae

Car

dina

lfish

, Tw

o-ey

edA

pogo

n ni

grip

inni

s3

11

31

33

11

5

Arii

dae

Gia

nt s

eaca

tfish

Net

uma

thal

assi

na5

34

31

33

11

3.2

Aul

osto

mid

aeFl

utem

outh

, S

moo

thFi

stul

aria

com

mer

soni

i3

34

11

33

11

5

Bot

hida

eFl

ound

er,

Inte

rmed

iate

Ast

eror

hom

bus

inte

rmed

ius

33

11

13

31

15

Bot

hida

eFl

ound

er, B

lue-

spot

ted

Cro

ssor

hom

bus

azur

eus

33

11

13

31

15

Bot

hida

eFl

ound

er, S

piny

-he

aded

Eng

ypro

sopo

n gr

andi

squa

ma

43

11

13

41

15

Bot

hida

eFl

ound

er, L

arge

-to

othe

dP

seud

orho

mbu

s ar

sius

43

21

13

31

15

Bot

hida

eFl

ound

er, D

eep-

bodi

edP

seud

orho

mbu

s el

evat

us4

31

11

33

11

5

Bot

hida

eFl

ound

er, S

mal

l-to

othe

dP

seud

orho

mbu

s je

nyns

ii4

32

12

33

11

4

Bot

hida

eFl

ound

er, S

piny

Pse

udor

hom

bus

spin

osus

43

21

23

31

15

Cal

liony

mid

aeS

tinkf

ish,

G

oodl

ad’s

Cal

liony

mus

goo

dlad

i2

52

14

34

11

5

Page 30: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

26 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 8.

con

t.B

iolo

gica

l Pro

file

Fish

ery

Impa

ct p

rofil

e

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eD

epth

ra

nkA

ge a

t 1st

re

pro.

M

ax

Leng

thM

ode

of

repr

o.D

ist.

Man

age

Sum

of

Ran

ksTa

rget

of

anot

her

fishe

ry

Con

s.

list

Mor

talit

y

Cal

liony

mid

aeS

tinkf

ish,

G

ross

’sC

allio

nym

us g

ross

i2

51

12

34

11

5

Cal

liony

mid

aeS

tinkf

ish,

M

ultif

ilam

ent

Cal

liony

mus

sub

laev

is3

51

12

34

11

5

Cal

liony

mid

aeD

rago

net,

Fing

ered

Dac

tylo

pus

dact

ylop

us3

52

11

33

11

5

Cal

liony

mid

aeD

rago

net,

Hig

h-fin

ned

Syn

chiro

pus

ram

eus

25

11

23

31

15

Car

angi

dae

Gol

den

treva

llyG

nath

anod

on

spec

iosu

s1

34

11

34

11

3.2

Car

angi

dae

Trev

ally,

S

moo

th-ta

iled

Sel

aroi

des

lept

olep

is3

32

11

33

11

5

Car

angi

dae

Trev

ally,

Bla

ck-

band

ed K

ingf

ish

Ser

iolin

a ni

grof

asci

ata

43

31

13

31

14

Car

char

hini

dae

Sha

rk, G

rey

Ree

fC

arch

arhi

nus

ambl

yrhy

ncho

s2

55

51

31

12

1

Car

char

hini

dae

Sha

rk, B

lack

-tip

Ree

fC

arch

arhi

nus

spp.

25

55

13

11

21.

5

Car

char

hini

dae

Sha

rk, D

usky

Car

char

hinu

s ob

scur

us2

55

51

11

12

1

Car

char

hini

dae

San

dbar

sha

rkC

arch

arhi

nus

plum

beus

25

55

11

21

21.

5

Car

char

hini

dae

Sha

rk, T

iger

Gal

eoce

rdo

cuvi

er2

55

51

31

12

1

Car

char

hini

dae

Sha

rk, W

hite

tipTr

iaen

odon

obe

sus

25

55

13

11

21

Cen

troge

nyid

aeR

ockc

od, F

alse

S

corp

ionf

ish

Cen

troge

nys

vaig

iens

is1

32

11

33

11

5

Cen

tropo

mid

aeS

and

Bas

sP

sam

mop

erca

w

aigi

ensi

s2

32

11

33

11

3.5

Page 31: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 27

Tabl

e 8.

con

t.B

iolo

gica

l Pro

file

Fish

ery

Impa

ct p

rofil

eFa

mily

Com

mon

nam

eSp

ecie

s na

me

Dep

th

rank

Age

at 1

st

repr

o.

Max

Le

ngth

Mod

e of

re

pro.

Dis

t.M

anag

eSu

m o

f R

anks

Targ

et o

f an

othe

r fis

hery

Con

s.

list

Mor

talit

y

Clu

peid

aeS

ardi

ne, G

old-

strip

edS

ardi

nella

gib

bosa

33

11

13

31

15

Clu

peid

aeS

ardi

ne, S

caly

M

acke

rel

Sar

dine

lla le

mur

u3

32

12

33

11

5

Cyn

oglo

ssid

aeS

ole,

Pat

tern

ed

Tong

ueP

arap

lagu

sia

bilin

eata

23

21

13

31

15

Dac

tylo

pter

idae

Sea

robi

n,

Orie

ntal

Dac

tylo

pten

a or

ient

alis

35

21

13

31

15

Das

yatid

idae

Stin

gray

, Bro

wn

Ret

icul

ated

Das

yatis

leyl

andi

25

25

13

21

23

Das

yatid

idae

Stin

gray

, Bla

ck-

blot

ched

Taen

iura

mey

eni

25

55

13

11

33

Ger

reid

aeR

oach

/Ban

ded

Silv

er B

iddy

Ger

res

subf

asci

atus

31

11

23

31

15

Gla

ucos

omat

idae

Dee

psea

jew

fish

Gla

ucos

oma

burg

eri

53

31

23

22

12

Gob

iidae

Gob

y, S

hado

wYo

ngei

chth

ys

nebu

losu

s1

31

11

33

11

5

Labr

idae

Tusk

fish,

Blu

e S

potte

dC

hoer

odon

cau

tero

ma

33

21

43

31

13.

5

Labr

idae

Tusk

fish,

Pur

ple

Cho

erod

on c

epha

lote

s3

32

12

34

11

4

Labr

idae

Wra

sse,

Soe

laS

uezi

chth

ys s

oela

e3

31

15

31

11

5

Lam

nida

eS

hark

, Sho

rtfin

M

ako

Isur

us o

xyrin

chus

25

55

13

11

22

Leio

gnat

hida

eP

onyf

ish,

O

rang

efin

Leio

gnat

hus

bind

us4

11

11

33

11

5

Leio

gnat

hida

eP

onyf

ish,

W

hipf

inLe

iogn

athu

s le

ucis

cus

31

21

13

41

15

Leio

gnat

hida

eP

onyf

ish,

Zig

-Za

gLe

iogn

athu

s m

oret

onie

nsis

31

11

13

31

15

Page 32: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

28 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 8.

con

t.B

iolo

gica

l Pro

file

Fish

ery

Impa

ct p

rofil

eFa

mily

Com

mon

nam

eSp

ecie

s na

me

Dep

th

rank

Age

at 1

st

repr

o.

Max

Le

ngth

Mod

e of

re

pro.

Dis

t.M

anag

eSu

m o

f R

anks

Targ

et o

f an

othe

r fis

hery

Con

s.

list

Mor

talit

y

Leth

rinda

eE

mpe

ror,

Blu

e-Li

ned

(Bla

ck

Sna

pper

)

Leth

rinus

latic

audi

s3

33

12

33

21

3.5

Leth

rinid

aeE

mpe

ror,

Yello

w-

Taile

dLe

thrin

us a

tkin

soni

35

21

13

12

12

Leth

rinid

aeE

mpe

ror,

Thre

adfin

Leth

rinus

gen

ivitt

atus

33

21

13

51

14

Leth

rinid

aeE

mpe

ror,

Sw

eetli

p (R

ed

Thro

at)

Leth

rinus

min

iatu

s3

33

12

32

21

2

Leth

rinid

aeS

pang

led

Em

pero

rLe

thrin

us n

ebul

osus

43

31

13

22

12

Leth

rinid

aeE

mpe

ror,

Blu

e-S

potte

dLe

thrin

us p

unct

ulat

us3

32

14

34

11

3.5

Lutja

nida

eS

tripe

y se

a pe

rch

Lutja

nus

carp

onot

atus

33

21

11

31

13.

2

Lutja

nida

eS

eape

rch,

S

addl

e-ta

iled

Lutja

nus

mal

abar

icus

33

31

11

31

14

Lutja

nida

eR

ed E

mpe

ror

Lutja

nus

seba

e5

54

11

12

21

2

Lutja

nida

eB

row

nstri

pe

snap

per

Lutja

nus

vitta

31

21

11

31

12.

75

Lutja

nida

eJo

bfis

h, R

osy

(Ros

y S

napp

er)

Pris

tipom

oide

s fil

amen

tosu

s5

13

11

11

21

2

Lutja

nida

eG

oldb

ande

d jo

bfis

hP

ristip

omoi

des

mul

tiden

s5

53

11

12

21

2

Lutja

nida

eS

harp

toot

h jo

bfis

hP

ristip

omoi

des

typu

s5

33

12

11

21

2

Mon

acan

thid

aeLe

athe

rjack

et,

Bea

rded

Ana

cant

hus

barb

atus

11

21

13

31

15

Page 33: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 29

Tabl

e 8.

con

t.B

iolo

gica

l Pro

file

Fish

ery

Impa

ct p

rofil

eFa

mily

Com

mon

nam

eSp

ecie

s na

me

Dep

th

rank

Age

at 1

st

repr

o.

Max

Le

ngth

Mod

e of

re

pro.

Dis

t.M

anag

eSu

m o

f R

anks

Targ

et o

f an

othe

r fis

hery

Con

s.

list

Mor

talit

y

Mon

acan

thid

aeLe

athe

rjack

et,

Fan-

belli

edM

onac

anth

us

chin

ensi

s2

12

11

34

11

5

Mon

acan

thid

aeLe

athe

rjack

et,

Hai

r-fin

ned

Par

amon

acan

thus

ch

oiro

ceph

alus

11

11

13

51

15

Mon

acan

thid

aeLe

athe

rjack

et,

Pot

-bel

lied

Pse

udom

onac

anth

us

pero

ni1

12

11

33

11

5

Mul

lidae

Goa

tfish

, Yel

low

-st

riped

Par

upen

eus

chry

sopl

euro

n5

13

12

33

11

5

Mul

lidae

Goa

tfish

, A

sym

met

rical

Upe

neus

as

ymm

etric

us3

12

11

35

11

5

Mul

lidae

Goa

tfish

, S

unris

eU

pene

us s

ulph

ureu

s3

12

11

33

11

5

Mul

lidae

Goa

tfish

, Bar

-ta

iled

Upe

neus

trag

ula

31

21

13

31

15

Nem

ipte

ridae

Mon

ocle

Bre

am,

Fals

e W

hipt

ail

Pen

tapo

dus

poro

sus

31

21

23

31

14

Nem

ipte

ridae

Stri

ped

whi

ptai

lP

enta

podu

s vi

tta3

12

14

35

11

3.2

Odo

ntas

pidi

dae

Gre

y N

urse

S

hark

Car

char

ias

taur

us3

55

51

11

12

1

Ost

raci

idae

Box

fish,

Sm

all-

nose

dO

stra

cion

nas

us3

32

11

33

11

5

Ost

raci

idae

Turr

etfis

h, S

mal

l sp

ined

Tetro

som

us

reip

ublic

ae4

32

11

33

11

5

Peg

asid

aeS

eam

oth,

S

lend

erP

egas

us v

olita

ns3

31

11

33

11

5

Pin

guip

edid

aeG

rubf

ish,

Red

-ba

rred

Par

aper

cis

nebu

losa

33

21

13

31

15

Pla

tyce

phal

idae

Flat

head

, Frin

ge-

eyed

Cym

bace

phal

us

nem

atop

htha

lmus

33

31

23

31

15

Page 34: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

30 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 8.

con

t.B

iolo

gica

l Pro

file

Fish

ery

Impa

ct p

rofil

eFa

mily

Com

mon

nam

eSp

ecie

s na

me

Dep

th

rank

Age

at 1

st

repr

o.

Max

Le

ngth

Mod

e of

re

pro.

Dis

t.M

anag

eSu

m o

f R

anks

Targ

et o

f an

othe

r fis

hery

Con

s.

list

Mor

talit

y

Pla

tyce

phal

idae

Flat

head

, Rus

tyIn

egoc

ia ja

poni

ca3

32

11

34

11

5

Pla

tyce

phal

idae

Flat

head

, Spi

nyO

nigo

cia

spin

osa

53

21

13

31

15

Pla

tyce

phal

idae

Flat

head

, N

orth

en S

and

Pla

tyce

phal

us

aren

ariu

s3

32

12

33

11

4

Pla

tyce

phal

idae

Flat

head

, Bar

-ta

iled

Pla

tyce

phal

us

endr

acht

ensi

s3

32

11

33

11

3.5

Pla

tyce

phal

idae

Flat

head

, Lon

g-sp

ined

Pla

tyce

phal

us

long

ispi

nis

33

21

33

31

15

Pla

tyce

phal

idae

Flat

head

, Hea

rt-he

aded

Sor

sogo

na tu

berc

ulat

a3

31

11

33

11

5

Plo

tosi

dae

Cat

fish,

Sm

all-

head

edE

uris

thm

us m

icro

ceps

33

33

23

31

15

Plo

tosi

dae

Cat

fish,

Stri

ped

Plo

tosu

s lin

eatu

s3

32

31

33

11

5

Pom

acen

trida

eD

amse

l, G

ulf

Pris

totis

obt

usiro

stris

31

11

13

31

15

Pom

atom

idae

Tailo

rP

omat

omus

sal

tatri

x3

14

11

32

21

3

Pria

cant

hida

eB

igey

e, R

edP

riaca

nthu

s m

acra

cant

hus

33

21

23

31

15

Rhy

ncho

batid

aeS

hove

lnos

e R

ay,

Whi

te-s

potte

d G

uita

r fis

h

Rhy

ncho

batu

s sp

p.2

55

52

31

12

3

Sco

rpae

nida

eS

corp

ionf

ish,

Lo

ng-fi

nned

W

aspf

ish

Api

stus

car

inat

us3

31

11

34

11

5

Sco

rpae

nida

eS

tinge

r, S

potte

dIn

imic

us s

inen

sis

33

21

13

31

15

Sco

rpae

nida

eS

corp

ionf

ish,

S

pot F

in

Was

pfis

h/B

ullro

ut

Par

acen

tropo

gon

vesp

a3

31

11

34

11

5

Ser

rani

dae

Cod

, Bre

akse

a (B

lack

-ars

e C

od)

Epi

neph

elid

es a

rmat

us3

53

14

31

12

1.5

Page 35: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 31

Tabl

e 8.

con

t.B

iolo

gica

l Pro

file

Fish

ery

Impa

ct p

rofil

eFa

mily

Com

mon

nam

eSp

ecie

s na

me

Dep

th

rank

Age

at 1

st

repr

o.

Max

Le

ngth

Mod

e of

re

pro.

Dis

t.M

anag

eSu

m o

f R

anks

Targ

et o

f an

othe

r fis

hery

Con

s.

list

Mor

talit

y

Ser

rani

dae

Cod

, Flo

wer

yE

pine

phel

us

fusc

ogut

tatu

s3

34

11

11

13

2

Ser

rani

dae

Gro

per,

Que

ensl

and

Epi

neph

elus

la

nceo

latu

s3

35

11

11

13

2

Sig

anid

aeS

pine

foot

, W

hite

-spo

tted

Sig

anus

can

alic

ulat

us3

12

11

33

11

4

Sill

agin

idae

Whi

ting,

Tr

umpe

ter

Sill

ago

burr

us3

32

12

34

11

5

Sill

agin

idae

Whi

ting,

Rob

ust

Sill

ago

robu

sta

33

21

33

31

15

Sill

agin

idae

Whi

ting,

Yel

low

-Fi

nned

(Wes

tern

S

and)

Sill

ago

scho

mbu

rgki

i1

32

13

11

21

1

Sill

agin

idae

Whi

ting,

Wes

tern

S

choo

lS

illag

o vi

ttata

33

21

43

31

13.

67

Sol

eida

eS

ole,

Dar

k-S

potte

dA

sera

ggod

es

mel

anos

pilu

s1

31

11

33

11

5

Spa

ridae

Bre

am, W

este

rn

Yello

wfin

Aca

ntho

pagr

us la

tus

33

21

23

12

12

Spa

ridae

Pin

k sn

appe

rP

agru

s au

ratu

s5

34

12

14

21

3.2

Spa

ridae

Tarw

hine

Rha

bdos

argu

s sa

rba

31

31

23

31

13.

5

Sph

yrni

dae

Sha

rk, S

moo

th

Ham

mer

head

Sph

yrna

zyg

aena

25

55

13

11

22

Syn

gnat

hida

eP

ipef

ish,

Tig

erFi

licam

pus

tigris

31

23

31

11

31

Syn

gnat

hida

eP

ipef

ish,

R

ibbo

ned

Hal

iicht

hys

taen

ioph

orus

31

23

21

11

31

Syn

gnat

hida

eH

ippo

cam

pus

alat

us3

11

32

11

13

1

Syn

gnat

hida

eS

eaho

rse,

W

este

rn S

piny

Hip

poca

mpu

s an

gust

us3

12

32

12

13

1

Page 36: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

32 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 8.

con

t.B

iolo

gica

l Pro

file

Fish

ery

Impa

ct p

rofil

eFa

mily

Com

mon

nam

eSp

ecie

s na

me

Dep

th

rank

Age

at 1

st

repr

o.

Max

Le

ngth

Mod

e of

re

pro.

Dis

t.M

anag

eSu

m o

f R

anks

Targ

et o

f an

othe

r fis

hery

Con

s.

list

Mor

talit

y

Syn

gnat

hida

eS

eaho

rse,

Fa

lse-

eyed

Hip

poca

mpu

s bi

ocel

latu

s2

11

35

11

11

1

Syn

gnat

hida

eS

eaho

rse,

Fla

t-fa

ceH

ippo

cam

pus

plan

ifron

s (tr

imac

ulat

us)

21

23

11

21

31

Syn

gnat

hida

eS

eaho

rses

Hip

poca

mpu

s ze

bra

31

13

21

11

31

Syn

gnat

hida

eP

ipef

ish,

Spo

tted

Stig

mat

opor

a ar

gus

11

23

31

11

31

Syn

gnat

hida

eP

ipef

ish,

A

lliga

tor

Syn

gnat

hoid

es

biac

ulea

tus

21

23

11

11

31

Syn

gnat

hida

eP

ipef

ish,

Sho

rt-ta

iled

Trac

hyrh

amph

us

bico

arct

atus

31

23

11

21

31

Syn

odon

tidae

Bru

shto

oth

lizar

dfis

hS

aurid

a un

dosq

uam

is5

12

11

34

11

4

Syn

odon

tidae

Liza

rdfis

h,

Net

ted

Syn

odus

sag

eneu

s3

12

11

33

11

5

Syn

odon

tidae

Liza

rdfis

h,

Pai

nted

Grin

ner

Trac

hino

ceph

alus

m

yops

31

21

13

31

15

Tera

pont

idae

Trum

pete

rP

elat

es q

uadr

iline

atus

33

21

13

41

15

Tera

pont

idae

Trum

pete

r, S

tripe

d/S

ix-li

ned

Pel

ates

sex

linea

tus

33

11

23

41

13.

5

Tera

pont

idae

Trum

pete

r, B

ande

dTe

rapo

n th

erap

s3

32

11

33

11

5

Tetra

odon

tidae

Toad

fish,

Rou

gh

Gol

den

Lago

ceph

alus

luna

ris3

12

11

33

11

5

Tetra

odon

tidae

Toad

fish,

O

rang

e-sp

otte

dTo

rqui

gene

r pa

llim

acul

atus

21

11

23

41

15

Tetra

odon

tidae

Toad

fish,

W

hitle

y’s

Torq

uige

ner w

hitle

yi3

11

12

33

11

5

Tetra

odon

tidae

Silv

erst

ripe

blaa

sop

Lago

ceph

alus

sc

eler

atus

31

41

13

41

13.

2

Page 37: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 33

Tabl

e 9.

Li

st o

f the

Wes

t Coa

st B

iore

gion

tele

ost a

nd e

lasm

obra

nch

spec

ies

and

thei

r ris

k sc

ores

und

er v

aryi

ng w

eigh

ted

anal

yses

in o

rder

of l

owes

t to

hig

hest

ave

rage

risk

. The

col

umns

sho

w th

e di

ffere

nt p

ossi

bilit

ies

of p

riorit

ies

in th

e an

alys

is. T

hose

par

amet

ers

liste

d at

the

top

of e

ach

colu

mn

are

cons

ider

ed th

e m

ost i

mpo

rtant

in th

at a

naly

sis

and

are

doub

le w

eigh

ted.

The

"non

e" c

olum

n ha

s no

wei

ghtin

g. T

he "a

ve" c

olum

n is

the

aver

age

of th

ose

twel

ve c

olum

ns w

ith e

xtra

wei

ghtin

g. R

: Rep

rodu

ctio

n; F

: Fis

hing

; C: C

onse

rvat

ion

listin

g; M

: Man

agem

ent;

D: D

epth

; D

i: D

istri

butio

n; M

o: M

orta

lity;

S: S

ize.

Col

ours

repr

esen

t ris

k ca

tego

ries

as d

escr

ibed

in T

able

6; b

lue

= lo

w ri

sk; g

reen

= lo

w-m

oder

ate

risk;

ye

llow

= m

oder

ate

risk;

ora

nge

= m

oder

ate-

high

risk

; red

= h

igh

risk. Pa

ram

eter

s co

nsid

ered

mos

t im

port

ant i

n an

alys

is

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eR

&F

R&

CR

&M

R&

DR

&M

oD

&F

D&

CD

&M

D& Di

D&

Mo

S&F

S&C

S&M

S&D

S& Mo

Non

eAv

e

Sill

agin

idae

Whi

ting,

Ye

llow

-Fin

ned

(Wes

tern

San

d)

Sill

ago

scho

mbu

rgki

i2.

622.

622.

363.

142.

622.

292.

292.

402.

742.

292.

572.

572.

703.

092.

572.

632.

59

Clu

peid

aeS

andy

spr

atH

yper

loph

us

vitta

tus

2.50

2.50

3.21

2.83

3.17

3.00

3.00

3.15

3.40

3.80

2.57

2.57

2.70

2.91

3.26

2.92

2.97

Mug

ilida

eM

ulle

t, S

eaM

ugil

ceph

alus

2.79

2.79

3.00

2.79

2.79

2.57

2.57

3.00

2.57

2.57

3.34

3.34

3.90

3.34

3.34

3.00

2.98

Mug

ilida

eM

ulle

t, Ye

llow

E

ye (P

ilch)

Ald

riche

tta

fors

teri

2.86

2.86

3.25

3.14

2.86

2.57

2.57

2.93

2.83

2.57

3.14

3.14

3.58

3.46

3.14

3.00

2.99

Clu

peid

aeB

lue

spra

tS

prat

ello

ides

ro

bust

us2.

482.

483.

542.

862.

483.

343.

344.

053.

863.

342.

602.

603.

153.

002.

603.

003.

05

Pom

acen

trida

eS

caly

fin,

Com

mon

Par

ma

mcc

ullo

chi

2.48

2.48

3.71

3.24

2.48

2.97

2.97

3.20

3.89

2.97

2.97

2.97

3.20

3.89

2.97

3.00

3.09

Eng

raul

idae

Aus

tralia

n an

chov

yE

ngra

ulis

au

stra

lis3.

053.

053.

933.

433.

814.

114.

114.

504.

635.

143.

203.

203.

503.

604.

003.

753.

82

Tetra

odon

tidae

Blo

wfis

h,

Com

mon

Torq

uige

ner

pleu

rogr

amm

a3.

503.

073.

713.

503.

364.

674.

104.

334.

674.

484.

203.

693.

904.

204.

033.

893.

96

Clu

peid

aeH

errin

g, P

erth

Nem

atal

osa

vlam

ingh

i3.

713.

714.

864.

863.

713.

713.

714.

004.

863.

713.

713.

714.

004.

863.

714.

004.

06

Spa

ridae

Bre

am, S

ilver

(T

arw

hine

)R

habd

osar

gus

sarb

a3.

653.

173.

503.

413.

494.

824.

194.

494.

504.

614.

824.

194.

494.

504.

614.

114.

16

Ger

reid

aeS

ilver

belly

, S

outh

ern

Par

equu

la

mel

bour

nens

is3.

753.

323.

963.

753.

865.

004.

434.

635.

005.

144.

503.

994.

164.

504.

634.

234.

31

Syn

gnat

hida

eS

awto

oth

pipe

fish

Mar

oubr

a pe

rser

rata

4.64

5.36

5.14

5.36

4.64

4.09

4.71

4.40

4.71

4.09

3.71

4.29

4.00

4.29

3.71

4.50

4.48

Syn

gnat

hida

eS

potte

d pi

pefis

hS

tigm

atop

ora

argu

s4.

645.

365.

145.

364.

643.

714.

294.

004.

293.

714.

094.

714.

404.

714.

094.

504.

48

Hem

iram

phid

aeS

outh

ern

sea

garfi

shH

ypor

ham

phus

m

elan

ochi

r4.

334.

024.

254.

024.

644.

404.

094.

684.

094.

714.

804.

465.

104.

465.

144.

504.

48

Page 38: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

34 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 9.

con

t.Pa

ram

eter

s co

nsid

ered

mos

t im

port

ant i

n an

alys

is

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eR

&F

R&

CR

&M

R&

DR

&M

oD

&F

D&

CD

&M

D& Di

D&

Mo

S&F

S&C

S&M

S&D

S& Mo

Non

eAv

e

Leth

rinid

aeE

mpe

ror,

Spa

ngle

dLe

thrin

us

nebu

losu

s3.

933.

934.

293.

934.

294.

714.

715.

634.

715.

144.

404.

405.

254.

404.

804.

584.

57

Syn

gnat

hida

eLe

afy

sead

rago

nP

hyco

duru

s eq

ues

4.45

5.26

4.29

5.26

4.45

4.40

5.20

4.20

5.20

4.40

4.09

4.83

3.90

4.83

4.09

4.58

4.59

Sill

agin

idae

Whi

ting,

Kin

g G

eorg

eS

illag

inod

es

punc

tata

4.44

4.13

4.67

4.75

4.54

4.50

4.19

4.49

4.82

4.61

4.91

4.57

4.90

5.26

5.03

4.63

4.65

Sill

agin

idae

Whi

ting,

W

este

rn S

choo

lS

illag

o vi

ttata

4.44

4.13

4.65

5.06

4.54

4.91

4.57

4.60

5.60

5.03

4.50

4.19

4.22

5.13

4.61

4.63

4.68

Arr

ipid

aeH

errin

g,

Aus

tralia

nA

rrip

is

geor

gian

us4.

674.

385.

454.

954.

764.

674.

385.

084.

954.

764.

674.

385.

084.

954.

764.

784.

79

Tetra

odon

tidae

Ora

nge-

spot

ted

puffe

rfish

Torq

uige

ner

vici

nus

3.64

3.64

5.00

4.50

4.50

4.86

4.86

5.00

6.00

6.00

4.37

4.37

4.50

5.40

5.40

4.67

4.80

Spa

ridae

Bre

am, B

lack

Aca

ntho

pagr

us

butc

heri

4.64

4.33

5.14

4.95

4.64

4.71

4.40

4.95

5.03

4.71

5.14

4.80

5.40

5.49

5.14

4.88

4.90

Ser

rani

dae

Cod

, Fro

stba

ckE

pine

phel

us

bilo

batu

s4.

334.

335.

465.

574.

644.

804.

805.

106.

175.

144.

404.

404.

685.

664.

714.

884.

95

Syn

gnat

hida

eTi

ger p

ipef

ish

Filic

ampu

s tig

ris4.

955.

715.

435.

714.

954.

465.

144.

805.

144.

464.

465.

144.

805.

144.

465.

004.

98

Leth

rinid

aeE

mpe

ror,

Sw

eetli

p (R

ed

Thro

at)

Leth

rinus

m

inia

tus

4.67

4.33

4.86

4.67

4.67

5.20

4.83

5.53

5.20

5.20

5.20

4.83

5.53

5.20

5.20

5.00

5.01

Car

angi

dae

San

d tre

vally

Pse

udoc

aran

x w

right

i5.

064.

444.

955.

064.

855.

604.

915.

205.

605.

375.

134.

504.

775.

134.

925.

005.

03

Arr

ipid

aeS

alm

on,

Aus

tralia

nA

rrip

is tr

utta

ceus

4.29

4.29

5.14

5.00

4.29

5.14

5.14

6.00

6.00

5.14

4.80

4.80

5.60

5.60

4.80

5.04

5.07

Ara

cani

dae

Box

fish

Ano

ploc

apro

s ro

bust

us5.

114.

494.

694.

805.

265.

664.

975.

255.

315.

835.

194.

564.

814.

875.

345.

065.

08

Car

angi

dae

Sca

d, Y

ello

wta

ilTr

achu

rus

nova

ezel

andi

ae4.

063.

804.

183.

804.

455.

765.

396.

345.

396.

315.

314.

975.

854.

975.

835.

065.

09

Kyp

hosi

dae

Sw

eep,

Fo

otba

ller

Nea

typu

s ob

liquu

s5.

184.

575.

075.

185.

115.

745.

065.

335.

745.

665.

264.

644.

885.

265.

195.

165.

19

Sill

agin

idae

Whi

ting,

Sch

ool

Sou

ther

n /

Silv

er

Sill

ago

bass

ensi

s5.

264.

645.

145.

265.

265.

835.

145.

405.

835.

835.

344.

714.

955.

345.

345.

255.

29

Pom

atom

idae

Tailo

rP

omat

omus

sa

ltatri

x4.

544.

024.

574.

024.

375.

945.

266.

405.

265.

716.

445.

706.

935.

706.

195.

385.

40

Page 39: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 35

Tabl

e 9.

con

t.Pa

ram

eter

s co

nsid

ered

mos

t im

port

ant i

n an

alys

is

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eR

&F

R&

CR

&M

R&

DR

&M

oD

&F

D&

CD

&M

D& Di

D&

Mo

S&F

S&C

S&M

S&D

S& Mo

Non

eAv

e

Labr

idae

Gro

per,

Bal

dchi

nC

hoer

odon

ru

besc

ens

5.12

4.76

5.20

5.83

5.24

6.14

5.71

5.75

7.00

6.29

5.73

5.33

5.37

6.53

5.87

5.65

5.73

Plo

tosi

dae

Cob

bler

Cni

dogl

anis

m

acro

ceph

alus

5.87

5.46

5.54

6.27

6.48

5.39

5.01

5.04

5.76

5.94

5.80

5.40

5.43

6.20

6.40

5.73

5.73

Ser

rani

dae

Leop

ard

Wirr

ahA

cant

hist

ius

pard

alot

us5.

005.

006.

116.

335.

675.

575.

575.

857.

066.

315.

575.

575.

857.

066.

315.

835.

92

Odo

ntas

pidi

dae

Gre

y N

urse

S

hark

sC

arch

aria

s ta

urus

6.67

6.67

5.18

6.00

6.00

6.00

6.00

5.25

5.40

5.40

6.57

6.57

5.75

5.91

5.91

6.00

5.95

Syn

gnat

hida

eC

omm

on

sead

rago

nP

hyllo

pter

yx

taen

iola

tus

5.67

6.88

6.07

6.48

5.67

5.60

6.80

5.95

6.40

5.60

5.20

6.31

5.53

5.94

5.20

5.96

5.95

Car

char

hini

dae

Sha

rk, B

lack

tip

Car

char

hinu

s sp

p.6.

437.

076.

506.

436.

435.

435.

976.

185.

435.

436.

296.

917.

156.

296.

296.

386.

28

Car

char

hini

dae

Sha

rk, S

andb

arC

arch

arhi

nus

plum

beus

6.43

7.71

6.00

6.43

6.43

5.43

6.51

5.70

5.43

5.43

6.29

7.54

6.60

6.29

6.29

6.38

6.30

Tria

kida

eS

hark

, Whi

sker

yFu

rgal

eus

mac

ki6.

817.

436.

738.

056.

815.

666.

175.

856.

695.

666.

296.

866.

507.

436.

296.

676.

61

Spa

ridae

Sna

pper

, Pin

kP

agru

s au

ratu

s6.

225.

465.

895.

845.

977.

476.

557.

337.

017.

167.

476.

557.

337.

017.

166.

676.

70

Sph

yrni

dae

Sm

ooth

ha

mm

erhe

adS

phyr

na

zyga

ena

6.02

7.07

7.00

7.07

7.12

5.97

5.97

6.65

5.97

7.06

6.91

6.91

7.70

6.91

8.17

7.08

6.83

Neo

seba

stid

aeG

urna

rd

Per

ches

Neo

seba

stes

pa

ndus

7.13

6.22

6.28

6.67

7.01

7.65

6.68

7.12

7.16

7.53

7.20

6.29

6.70

6.74

7.09

6.91

6.90

Car

char

hini

dae

Sha

rk, T

iger

Gal

eoce

rdo

cuvi

er7.

078.

367.

007.

077.

075.

977.

066.

655.

975.

976.

918.

177.

706.

916.

917.

086.

99

Car

char

hini

dae

Sha

rk, B

lue

(Blu

e W

hale

r)P

riona

ce g

lauc

a7.

078.

367.

007.

077.

075.

977.

066.

655.

975.

976.

918.

177.

706.

916.

917.

086.

99

Ber

ycid

aeS

napp

er, R

ed

Big

htfis

hC

entro

bery

x ge

rrar

di6.

196.

196.

987.

146.

677.

067.

068.

088.

147.

606.

316.

317.

237.

296.

807.

007.

00

Lam

nida

eG

reat

Whi

te

Sha

rkC

arch

arod

on

carc

haria

s7.

078.

366.

007.

078.

365.

977.

065.

705.

977.

066.

918.

176.

606.

918.

177.

087.

03

Gla

ucos

omat

idae

Dhu

fish,

Wes

t A

ustra

lian

Gla

ucos

oma

hebr

aicu

m6.

575.

816.

166.

956.

677.

896.

976.

908.

348.

007.

896.

976.

908.

348.

007.

137.

22

Ser

rani

dae

Cod

, Bre

akse

a (B

lack

-ars

e C

od)

Epi

neph

elid

es

arm

atus

6.78

6.78

7.18

7.11

6.56

7.55

7.55

7.26

7.92

7.30

7.55

7.55

7.26

7.92

7.30

7.22

7.31

Tria

kida

eS

hark

, Gum

my

Mus

telu

s sp

p.8.

468.

467.

609.

088.

257.

037.

036.

607.

546.

867.

817.

817.

338.

387.

627.

787.

72

Het

erod

ontid

aeP

ort J

acks

on

Sha

rkH

eter

odon

tus

portu

sjac

kson

i10

.36

8.57

8.70

9.76

8.81

8.45

6.99

7.40

7.97

7.19

8.95

7.41

7.83

8.43

7.61

8.38

8.30

Page 40: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

36 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 10

. Li

st o

f the

Gas

coyn

e C

oast

Bio

regi

on te

leos

t and

ela

smob

ranc

h sp

ecie

s an

d th

eir r

isk

scor

es u

nder

var

ying

wei

ghte

d an

alys

es in

ord

er o

f lo

wes

t to

high

est a

vera

ge ri

sk. T

he c

olum

ns s

how

the

diffe

rent

pos

sibi

litie

s of

prio

ritie

s in

the

anal

ysis

. Tho

se p

aram

eter

s lis

ted

at th

e to

p of

ea

ch c

olum

n ar

e co

nsid

ered

the

mos

t im

porta

nt in

that

ana

lysi

s an

d ar

e do

uble

wei

ghte

d. T

he "n

one"

col

umn

has

no w

eigh

ting.

The

"ave

" co

lum

n is

the

aver

age

of th

ose

twel

ve c

olum

ns w

ith e

xtra

wei

ghtin

g. R

: Rep

rodu

ctio

n; F

: Fis

hing

; C: C

onse

rvat

ion

listin

g; M

: Man

agem

ent;

D: D

epth

; Di:

Dis

tribu

tion;

Mo:

Mor

talit

y; S

: Siz

e. C

olou

rs re

pres

ent r

isk

cate

gorie

s as

des

crib

ed in

Tab

le 6

; blu

e =

low

risk

; gre

en =

low

-m

oder

ate

risk;

yel

low

= m

oder

ate

risk;

ora

nge

= m

oder

ate-

high

risk

; red

= h

igh

risk.

Para

met

ers

cons

ider

ed m

ost i

mpo

rtan

t in

anal

ysis

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eR

&F

R&

CR

&M

R& Di

R&

Mo

D&

FD

&C

D&

MD

& Di

D&

Mo

S&F

S&C

S&M

S& Di

S& Mo

Non

eAv

e

Sill

agin

idae

Whi

ting,

Ye

llow

-Fin

ned

(Wes

tern

San

d)

Sill

ago

scho

mbu

rgki

i2.

622.

622.

753.

142.

622.

292.

292.

403.

202.

292.

572.

573.

093.

092.

572.

632.

67

Mon

acan

thid

aeLe

athe

rjack

et,

Hai

r-fin

ned

Par

amon

acan

thus

ch

oiro

ceph

alus

3.00

2.43

2.50

2.43

3.00

3.00

2.43

2.50

2.57

3.00

3.00

2.43

2.86

2.43

3.00

2.67

2.70

Syn

gnat

hida

eP

ipef

ish,

A

lliga

tor

Syn

gnat

hoid

es

biac

ulea

tus

2.57

3.14

2.50

2.57

2.57

2.57

3.14

2.50

2.86

2.57

2.57

3.14

2.86

2.57

2.57

2.67

2.71

Lutja

nida

eB

row

nstri

pe

snap

per

Lutja

nus

vitta

2.73

2.30

2.20

2.30

2.68

3.64

3.07

2.94

3.36

3.57

3.28

2.76

3.02

2.76

3.21

2.84

2.92

Mon

acan

thid

aeLe

athe

rjack

et,

Bea

rded

Ana

cant

hus

barb

atus

2.83

2.50

2.63

2.50

3.17

2.91

2.57

2.70

2.74

3.26

3.40

3.00

3.60

3.00

3.80

2.92

2.97

Mon

acan

thid

aeLe

athe

rjack

et,

Pot

-bel

lied

Pse

udom

onac

anth

us

pero

ni2.

832.

502.

632.

503.

172.

912.

572.

702.

743.

263.

403.

003.

603.

003.

802.

922.

97

Syn

gnat

hida

eS

eaho

rse,

Fa

lse-

eyed

Hip

poca

mpu

s bi

ocel

latu

s2.

882.

882.

753.

932.

882.

832.

832.

704.

112.

832.

512.

512.

743.

432.

512.

922.

96

Syn

gnat

hida

eP

ipef

ish,

S

potte

dS

tigm

atop

ora

argu

s2.

883.

402.

753.

402.

882.

512.

972.

403.

202.

512.

833.

343.

093.

342.

832.

922.

96

Syn

gnat

hida

eS

eaho

rse,

W

inge

dH

ippo

cam

pus

alat

us2.

863.

432.

753.

142.

863.

143.

773.

033.

773.

142.

573.

092.

832.

832.

573.

003.

05

Syn

gnat

hida

eS

eaho

rse,

Fla

t-fa

ceH

ippo

cam

pus

plan

ifron

s (tr

imac

ulat

us)

3.14

3.43

2.75

2.86

2.86

3.14

3.43

2.75

3.14

2.86

3.14

3.43

3.14

2.86

2.86

3.00

3.05

Syn

gnat

hida

eS

eaho

rse,

Ze

bra

Hip

poca

mpu

s ze

bra

2.86

3.43

2.75

3.14

2.86

3.14

3.77

3.03

3.77

3.14

2.57

3.09

2.83

2.83

2.57

3.00

3.05

Lutja

nida

eJo

bfis

h, R

osy

(Ros

y S

napp

er)

Pris

tipom

oide

s fil

amen

tosu

s2.

572.

572.

752.

572.

863.

863.

864.

134.

714.

293.

343.

344.

093.

343.

713.

333.

47

Tetra

odon

tidae

Toad

fish,

O

rang

e-sp

otte

dTo

rqui

gene

r pa

llim

acul

atus

3.33

2.83

2.92

3.00

3.50

4.00

3.40

3.50

3.80

4.20

3.43

2.91

3.43

3.09

3.60

3.33

3.40

Page 41: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 37

Tabl

e 10

. con

t.Pa

ram

eter

s co

nsid

ered

mos

t im

port

ant i

n an

alys

is

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eR

&F

R&

CR

&M

R& Di

R&

Mo

D&

FD

&C

D&

MD

& Di

D&

Mo

S&F

S&C

S&M

S& Di

S& Mo

Non

eAv

e

Syn

gnat

hida

eP

ipef

ish,

R

ibbo

ned

Hal

iicht

hys

taen

ioph

orus

3.10

3.71

2.98

3.40

3.10

3.43

4.11

3.30

4.11

3.43

3.14

3.77

3.46

3.46

3.14

3.38

3.44

Syn

gnat

hida

eP

ipef

ish,

Sho

rt-ta

iled

Trac

hyrh

amph

us

bico

arct

atus

3.40

3.71

2.98

3.10

3.10

3.77

4.11

3.30

3.77

3.43

3.46

3.77

3.46

3.14

3.14

3.38

3.44

Gob

iidae

Gob

y, S

hado

wYo

ngei

chth

ys

nebu

losu

s4.

053.

573.

753.

574.

523.

403.

003.

153.

203.

803.

403.

003.

603.

003.

803.

503.

52

Leio

gnat

hida

eP

onyf

ish,

Zig

-Za

gLe

iogn

athu

s m

oret

onie

nsis

3.24

2.86

3.00

2.86

3.62

4.37

3.86

4.05

4.11

4.89

3.40

3.00

3.60

3.00

3.80

3.50

3.58

Pom

acen

trida

eD

amse

l, G

ulf

Pris

totis

obt

usiro

stris

3.24

2.86

3.00

2.86

3.62

4.37

3.86

4.05

4.11

4.89

3.40

3.00

3.60

3.00

3.80

3.50

3.58

Sol

eida

eS

ole,

Dar

k-S

potte

dA

sera

ggod

es

mel

anos

pilu

s4.

053.

573.

753.

574.

523.

403.

003.

153.

203.

803.

403.

003.

603.

003.

803.

503.

52

Ger

reid

aeR

oach

/Ban

ded

Silv

er B

iddy

Ger

res

subf

asci

atus

3.43

3.05

3.17

3.24

3.81

4.63

4.11

4.28

4.63

5.14

3.60

3.20

3.80

3.40

4.00

3.75

3.83

Mon

acan

thid

aeLe

athe

rjack

et,

Fan-

belli

edM

onac

anth

us

chin

ensi

s3.

623.

053.

173.

053.

814.

343.

663.

803.

894.

574.

343.

664.

343.

664.

573.

753.

83

Syn

gnat

hida

eP

ipef

ish,

Tig

erFi

licam

pus

tigris

3.40

4.02

3.25

4.02

3.40

3.77

4.46

3.60

4.80

3.77

3.46

4.09

3.77

4.09

3.46

3.75

3.82

Syn

gnat

hida

eS

eaho

rse,

W

este

rn S

piny

Hip

poca

mpu

s an

gust

us3.

714.

023.

253.

713.

404.

114.

463.

604.

463.

773.

774.

093.

773.

773.

463.

753.

82

Tetra

odon

tidae

Toad

fish,

W

hitle

y’s

Torq

uige

ner w

hitle

yi3.

433.

053.

173.

243.

814.

634.

114.

284.

635.

143.

603.

203.

803.

404.

003.

753.

83

Sig

anid

aeS

pine

foot

, W

hite

-spo

tted/

Sm

udge

spot

Sig

anus

ca

nalic

ulat

us3.

433.

003.

193.

003.

644.

574.

004.

254.

294.

864.

113.

604.

373.

604.

373.

793.

89

Lutja

nida

eS

tripe

y se

a pe

rch

Lutja

nus

carp

onot

atus

4.09

3.47

3.30

3.47

4.15

4.53

3.84

3.66

4.18

4.59

4.15

3.52

3.83

3.52

4.21

3.83

3.90

Cen

troge

nyid

aeR

ockc

od, F

alse

S

corp

ionf

ish

Cen

troge

nys

vaig

iens

is4.

453.

934.

133.

934.

983.

893.

433.

603.

664.

344.

373.

864.

633.

864.

894.

084.

13

Leio

gnat

hida

eP

onyf

ish,

O

rang

efin

Leio

gnat

hus

bind

us3.

643.

213.

383.

214.

075.

344.

714.

955.

035.

973.

893.

434.

113.

434.

344.

084.

18

Mul

lidae

Goa

tfish

, S

unris

eU

pene

us s

ulph

ureu

s3.

643.

213.

383.

214.

074.

864.

294.

504.

575.

434.

373.

864.

633.

864.

894.

084.

18

Mul

lidae

Goa

tfish

, Bar

-ta

iled

Upe

neus

trag

ula

3.64

3.21

3.38

3.21

4.07

4.86

4.29

4.50

4.57

5.43

4.37

3.86

4.63

3.86

4.89

4.08

4.18

Nem

ipte

ridae

Mon

ocle

Bre

am,

Fals

e W

hipt

ail

Pen

tapo

dus

poro

sus

3.64

3.21

3.38

3.43

3.86

4.86

4.29

4.50

4.86

5.14

4.37

3.86

4.63

4.1 1

4.63

4.08

4.18

Page 42: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

38 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 10

. con

t.Pa

ram

eter

s co

nsid

ered

mos

t im

port

ant i

n an

alys

is

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eR

&F

R&

CR

&M

R& Di

R&

Mo

D&

FD

&C

D&

MD

& Di

D&

Mo

S&F

S&C

S&M

S& Di

S& Mo

Non

eAv

e

Syn

odon

tidae

Liza

rdfis

h,

Net

ted

Syn

odus

sag

eneu

s3.

643.

213.

383.

214.

074.

864.

294.

504.

575.

434.

373.

864.

633.

864.

894.

084.

18

Syn

odon

tidae

Liza

rdfis

h,

Pai

nted

Grin

ner

Trac

hino

ceph

alus

m

yops

3.64

3.21

3.38

3.21

4.07

4.86

4.29

4.50

4.57

5.43

4.37

3.86

4.63

3.86

4.89

4.08

4.18

Tetra

odon

tidae

Toad

fish,

Rou

gh

Gol

den

Lago

ceph

alus

luna

ris3.

643.

213.

383.

214.

074.

864.

294.

504.

575.

434.

373.

864.

633.

864.

894.

084.

18

Ser

rani

dae

Cod

, Flo

wer

yE

pine

phel

us

fusc

ogut

tatu

s3.

574.

293.

443.

573.

934.

004.

803.

854.

404.

404.

295.

144.

714.

294.

714.

134.

23

Spa

ridae

Bre

am, W

este

rn

Yello

wfin

Aca

ntho

pagr

us la

tus

3.71

3.71

4.33

4.02

4.02

4.11

4.11

4.80

5.14

4.46

3.77

3.77

5.03

4.09

4.09

4.13

4.21

Cen

tropo

mid

aeS

and

Bas

sP

sam

mop

erca

w

aigi

ensi

s4.

433.

864.

133.

864.

574.

433.

864.

134.

144.

574.

433.

864.

713.

864.

574.

174.

23

Leio

gnat

hida

eP

onyf

ish,

W

hipf

inLe

iogn

athu

s le

ucis

cus

4.07

3.43

3.56

3.43

4.29

5.43

4.57

4.75

4.86

5.71

4.89

4.11

4.89

4.11

5.14

4.38

4.48

Lutja

nida

eS

harp

toot

h jo

bfis

hP

ristip

omoi

des

typu

s3.

813.

814.

004.

194.

194.

864.

865.

106.

315.

344.

294.

295.

144.

714.

714.

504.

64

Pom

atom

idae

Tailo

rP

omat

omus

sal

tatri

x3.

673.

403.

903.

403.

934.

804.

465.

105.

145.

145.

204.

836.

314.

835.

574.

504.

65

Ser

rani

dae

Gro

per,

Que

ensl

and

Epi

neph

elus

la

nceo

latu

s3.

814.

573.

673.

814.

194.

295.

144.

134.

714.

714.

865.

835.

344.

865.

344.

504.

62

Spa

ridae

Tarw

hine

Rha

bdos

argu

s sa

rba

3.93

3.45

3.65

3.69

4.05

5.19

4.56

4.81

5.19

5.34

5.19

4.56

5.50

4.87

5.34

4.50

4.62

Lutja

nida

eS

eape

rch,

S

addl

e-ta

iled

Lutja

nus

mal

abar

icus

4.67

4.00

3.79

4.00

5.00

5.20

4.46

4.23

4.83

5.57

5.20

4.46

4.83

4.46

5.57

4.58

4.68

Leth

rinid

aeE

mpe

ror,

Yello

w-T

aile

dLe

thrin

us a

tkin

soni

4.45

4.45

5.31

4.45

4.86

4.40

4.40

5.25

5.20

4.80

4.09

4.09

5.57

4.09

4.46

4.58

4.66

Mul

lidae

Goa

tfish

, A

sym

met

rical

Upe

neus

as

ymm

etric

us4.

503.

643.

753.

644.

506.

004.

865.

005.

146.

005.

404.

375.

144.

375.

404.

674.

78

Apo

goni

dae

Car

dina

lfish

, C

avite

Apo

gon

cavi

tiens

is4.

864.

294.

504.

295.

435.

344.

714.

955.

035.

974.

373.

864.

633.

864.

894.

674.

73

Apo

goni

dae

Car

dina

lfish

, Tw

o-ey

edA

pogo

n ni

grip

inni

s4.

864.

294.

504.

295.

435.

344.

714.

955.

035.

974.

373.

864.

633.

864.

894.

674.

73

Bot

hida

eFl

ound

er,

Inte

rmed

iate

Ast

eror

hom

bus

inte

rmed

ius

4.86

4.29

4.50

4.29

5.43

5.34

4.71

4.95

5.03

5.97

4.37

3.86

4.63

3.86

4.89

4.67

4.73

Bot

hida

eFl

ound

er, B

lue-

spot

ted

Cro

ssor

hom

bus

azur

eus

4.86

4.29

4.50

4.29

5.43

5.34

4.71

4.95

5.03

5.97

4.37

3.86

4.63

3.86

4.89

4.67

4.73

Page 43: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 39

Tabl

e 10

. con

t.Pa

ram

eter

s co

nsid

ered

mos

t im

port

ant i

n an

alys

is

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eR

&F

R&

CR

&M

R& Di

R&

Mo

D&

FD

&C

D&

MD

& Di

D&

Mo

S&F

S&C

S&M

S& Di

S& Mo

Non

eAv

e

Clu

peid

aeS

ardi

ne, G

old-

strip

edS

ardi

nella

gib

bosa

4.86

4.29

4.50

4.29

5.43

5.34

4.71

4.95

5.03

5.97

4.37

3.86

4.63

3.86

4.89

4.67

4.73

Cyn

oglo

ssid

aeS

ole,

Pat

tern

ed

Tong

ueP

arap

lagu

sia

bilin

eata

4.86

4.29

4.50

4.29

5.43

4.86

4.29

4.50

4.57

5.43

4.86

4.29

5.14

4.29

5.43

4.67

4.73

Peg

asid

aeS

eam

oth,

S

lend

erP

egas

us v

olita

ns4.

864.

294.

504.

295.

435.

344.

714.

955.

035.

974.

373.

864.

633.

864.

894.

674.

73

Pla

tyce

phal

idae

Flat

head

, Hea

rt-he

aded

Sor

sogo

na

tube

rcul

ata

4.86

4.29

4.50

4.29

5.43

5.34

4.71

4.95

5.03

5.97

4.37

3.86

4.63

3.86

4.89

4.67

4.73

Pla

tyce

phal

idae

Flat

head

, Bar

-ta

iled

Pla

tyce

phal

us

endr

acht

ensi

s4.

804.

184.

474.

184.

955.

314.

634.

954.

975.

494.

874.

245.

194.

245.

034.

694.

77

Tera

pont

idae

Trum

pete

r, S

tripe

d/S

ix-li

ned

Pel

ates

sex

linea

tus

5.29

4.43

4.63

4.71

5.14

5.81

4.87

5.09

5.50

5.66

4.76

3.99

4.76

4.24

4.63

4.83

4.90

Car

angi

dae

Gol

den

treva

llyG

nath

anod

on

spec

iosu

s5.

324.

404.

664.

405.

084.

914.

064.

304.

344.

696.

395.

276.

395.

276.

094.

955.

04

Tetra

odon

tidae

Silv

erst

ripe

blaa

sop

Lago

ceph

alus

sc

eler

atus

4.50

3.72

3.94

3.72

4.30

5.90

4.87

5.16

5.21

5.62

6.39

5.27

6.39

5.27

6.09

4.95

5.09

Car

char

hini

dae

Sha

rk, D

usky

Car

char

hinu

s ob

scur

us5.

145.

795.

065.

145.

144.

344.

894.

284.

894.

345.

035.

665.

665.

035.

034.

965.

03

Apo

goni

dae

Car

dina

lfish

, M

any-

band

edA

pogo

n br

evic

auda

ta5.

144.

574.

754.

865.

715.

665.

035.

235.

666.

294.

634.

114.

894.

375.

145.

005.

07

Leth

rinid

aeE

mpe

ror,

Sw

eetli

p (R

ed

Thro

at)

Leth

rinus

min

iatu

s4.

674.

334.

964.

674.

675.

204.

835.

535.

945.

205.

204.

836.

315.

205.

205.

005.

12

Sco

rpae

nida

eS

corp

ionf

ish,

Lo

ng-fi

nned

W

aspf

ish

Api

stus

car

inat

us5.

434.

574.

754.

575.

715.

975.

035.

235.

346.

294.

894.

114.

894.

115.

145.

005.

07

Sco

rpae

nida

eS

corp

ionf

ish,

S

pot F

in

Was

pfis

h/B

ullro

ut

Par

acen

tropo

gon

vesp

a5.

434.

574.

754.

575.

715.

975.

035.

235.

346.

294.

894.

114.

894.

115.

145.

005.

07

Nem

ipte

ridae

Stri

ped

whi

ptai

lP

enta

podu

s vi

tta4.

763.

903.

984.

544.

376.

345.

205.

306.

345.

835.

714.

685.

455.

455.

255.

025.

14

Leth

rinid

aeS

pang

led

Em

pero

rLe

thrin

us n

ebul

osus

4.64

4.29

5.00

4.29

4.64

5.57

5.14

6.00

6.00

5.57

5.20

4.80

6.40

4.80

5.20

5.04

5.17

Bot

hida

eFl

ound

er, D

eep-

bodi

edP

seud

orho

mbu

s el

evat

us5.

264.

644.

884.

645.

886.

315.

575.

855.

947.

064.

864.

295.

144.

295.

435.

255.

34

Page 44: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

40 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 10

. con

t.Pa

ram

eter

s co

nsid

ered

mos

t im

port

ant i

n an

alys

is

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eR

&F

R&

CR

&M

R& Di

R&

Mo

D&

FD

&C

D&

MD

& Di

D&

Mo

S&F

S&C

S&M

S& Di

S& Mo

Non

eAv

e

Car

angi

dae

Trev

ally,

S

moo

th-ta

iled

Sel

aroi

des

lept

olep

is5.

264.

644.

884.

645.

885.

835.

145.

405.

496.

515.

344.

715.

664.

715.

975.

255.

34

Lutja

nida

eG

oldb

ande

d jo

bfis

hP

ristip

omoi

des

mul

tiden

s5.

244.

765.

004.

765.

245.

975.

435.

706.

515.

975.

344.

865.

834.

865.

345.

255.

39

Odo

ntas

pidi

dae

Gre

y N

urse

S

hark

Car

char

ias

taur

us5.

336.

005.

255.

335.

334.

805.

404.

735.

404.

805.

265.

915.

915.

265.

265.

255.

33

Ost

raci

idae

Box

fish,

Sm

all-

nose

dO

stra

cion

nas

us5.

264.

644.

884.

645.

885.

835.

145.

405.

496.

515.

344.

715.

664.

715.

975.

255.

34

Pin

guip

edid

aeG

rubf

ish,

Red

-ba

rred

Par

aper

cis

nebu

losa

5.26

4.64

4.88

4.64

5.88

5.83

5.14

5.40

5.49

6.51

5.34

4.71

5.66

4.71

5.97

5.25

5.34

Pla

tyce

phal

idae

Flat

head

, N

orth

en S

and

Pla

tyce

phal

us

aren

ariu

s5.

264.

644.

884.

955.

575.

835.

145.

405.

836.

175.

344.

715.

665.

035.

665.

255.

34

Sco

rpae

nida

eS

tinge

r, S

potte

dIn

imic

us s

inen

sis

5.26

4.64

4.88

4.64

5.88

5.83

5.14

5.40

5.49

6.51

5.34

4.71

5.66

4.71

5.97

5.25

5.34

Syn

odon

tidae

Bru

shto

oth

lizar

dfis

hS

aurid

a un

dosq

uam

is4.

713.

934.

133.

934.

717.

206.

006.

306.

407.

205.

664.

715.

664.

715.

665.

255.

39

Tera

pont

idae

Trum

pete

r, B

ande

dTe

rapo

n th

erap

s5.

264.

644.

884.

645.

885.

835.

145.

405.

496.

515.

344.

715.

664.

715.

975.

255.

34

Labr

idae

Wra

sse,

Soe

laS

uezi

chth

ys s

oela

e4.

864.

865.

006.

006.

005.

345.

345.

506.

916.

604.

374.

375.

145.

405.

405.

335.

41

Bot

hida

eFl

ound

er, S

piny

-he

aded

Eng

ypro

sopo

n gr

andi

squa

ma

5.88

4.95

5.15

4.95

6.19

7.06

5.94

6.18

6.31

7.43

5.43

4.57

5.43

4.57

5.71

5.63

5.72

Cal

liony

mid

aeD

rago

net,

Hig

h-fin

ned

Syn

chiro

pus

ram

eus

6.43

5.71

5.94

6.07

7.14

5.66

5.03

5.23

5.66

6.29

5.14

4.57

5.43

4.86

5.71

5.63

5.66

Clu

peid

aeS

ardi

ne, S

caly

M

acke

rel

Sar

dine

lla le

mur

u5.

574.

955.

155.

266.

196.

175.

495.

706.

176.

865.

665.

035.

975.

346.

295.

635.

72

Labr

idae

Tusk

fish,

Pur

ple

Cho

erod

on

ceph

alot

es5.

884.

955.

155.

265.

886.

515.

495.

706.

176.

515.

975.

035.

975.

345.

975.

635.

72

Leth

rinid

aeE

mpe

ror,

Thre

adfin

Leth

rinus

gen

ivitt

atus

6.19

4.95

5.15

4.95

5.88

6.86

5.49

5.70

5.83

6.51

6.29

5.03

5.97

5.03

5.97

5.63

5.72

Lutja

nida

eR

ed E

mpe

ror

Lutja

nus

seba

e5.

505.

005.

255.

005.

506.

295.

716.

006.

866.

295.

975.

436.

515.

435.

975.

635.

78

Pla

tyce

phal

idae

Flat

head

, Rus

tyIn

egoc

ia ja

poni

ca5.

884.

955.

154.

956.

196.

515.

495.

705.

836.

865.

975.

035.

975.

036.

295.

635.

72

Pria

cant

hida

eB

igey

e, R

edP

riaca

nthu

s m

acra

cant

hus

5.57

4.95

5.15

5.26

6.19

6.17

5.49

5.70

6.17

6.86

5.66

5.03

5.97

5.34

6.29

5.63

5.72

Tera

pont

idae

Trum

pete

rP

elat

es

quad

rilin

eatu

s5.

884.

955.

154.

956.

196.

515.

495.

705.

836.

865.

975.

035.

975.

036.

295.

635.

72

Page 45: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 41

Tabl

e 10

. con

t.Pa

ram

eter

s co

nsid

ered

mos

t im

port

ant i

n an

alys

is

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eR

&F

R&

CR

&M

R& Di

R&

Mo

D&

FD

&C

D&

MD

& Di

D&

Mo

S&F

S&C

S&M

S& Di

S& Mo

Non

eAv

e

Labr

idae

Tusk

fish,

Blu

e S

potte

dC

hoer

odon

ca

uter

oma

5.73

5.11

5.28

6.04

5.88

6.34

5.66

5.85

7.03

6.51

5.81

5.19

6.13

6.13

5.97

5.81

5.91

Bot

hida

eFl

ound

er, L

arge

-to

othe

dP

seud

orho

mbu

s ar

sius

5.67

5.00

5.25

5.00

6.33

6.80

6.00

6.30

6.40

7.60

5.83

5.14

6.17

5.14

6.51

5.83

5.94

Bot

hida

eFl

ound

er, S

mal

l-to

othe

dP

seud

orho

mbu

s je

nyns

ii5.

675.

005.

255.

336.

006.

806.

006.

306.

807.

205.

835.

146.

175.

496.

175.

835.

94

Ost

raci

idae

Turr

etfis

h, S

mal

l sp

ined

Tetro

som

us

reip

ublic

ae5.

675.

005.

255.

006.

336.

806.

006.

306.

407.

605.

835.

146.

175.

146.

515.

835.

94

Sill

agin

idae

Whi

ting,

W

este

rn S

choo

lS

illag

o vi

ttata

5.78

5.16

5.33

6.09

5.98

6.40

5.71

5.90

7.09

6.63

5.87

5.24

6.18

6.18

6.08

5.88

5.97

Car

angi

dae

Trev

ally,

Bla

ck-

band

ed K

ingf

ish

Ser

iolin

a ni

grof

asci

ata

5.71

5.00

5.31

5.00

6.07

6.86

6.00

6.38

6.43

7.29

6.40

5.60

6.80

5.60

6.80

5.96

6.08

Cal

liony

mid

aeSt

inkf

ish,

Gro

ss’s

Cal

liony

mus

gro

ssi

7.14

6.07

6.25

6.43

7.50

6.29

5.34

5.50

5.97

6.60

5.71

4.86

5.71

5.14

6.00

6.00

6.03

Gla

ucos

omat

idae

Dee

psea

jew

fish

Gla

ucos

oma

burg

eri

5.33

4.95

5.67

5.33

5.33

6.80

6.31

7.23

7.77

6.80

6.00

5.57

7.29

6.00

6.00

6.00

6.16

Pla

tyce

phal

idae

Flat

head

, Lon

g-sp

ined

Pla

tyce

phal

us

long

ispi

nis

5.88

5.26

5.42

5.88

6.50

6.51

5.83

6.00

6.86

7.20

5.97

5.34

6.29

5.97

6.60

6.00

6.10

Sill

agin

idae

Whi

ting,

Tr

umpe

ter

Sill

ago

burr

us6.

195.

265.

425.

576.

506.

865.

836.

006.

517.

206.

295.

346.

295.

666.

606.

006.

10

Sill

agin

idae

Whi

ting,

Rob

ust

Sill

ago

robu

sta

5.88

5.26

5.42

5.88

6.50

6.51

5.83

6.00

6.86

7.20

5.97

5.34

6.29

5.97

6.60

6.00

6.10

Car

char

hini

dae

San

dbar

sha

rkC

arch

arhi

nus

plum

beus

6.75

6.75

5.91

6.11

6.43

5.70

5.70

4.99

5.70

5.43

6.60

6.60

6.60

5.97

6.29

6.02

6.10

Leth

rinda

eE

mpe

ror,

Blu

e-Li

ned

(Bla

ck

Sna

pper

)

Leth

rinus

latic

audi

s5.

835.

175.

695.

506.

006.

505.

766.

346.

876.

696.

505.

767.

246.

136.

696.

046.

18

Leth

rinid

aeE

mpe

ror,

Blu

e-S

potte

dLe

thrin

us p

unct

ulat

us6.

355.

425.

556.

356.

197.

036.

006.

157.

376.

866.

445.

506.

446.

446.

296.

196.

29

Bot

hida

eFl

ound

er, S

piny

Pse

udor

hom

bus

spin

osus

6.00

5.33

5.54

5.67

6.67

7.20

6.40

6.65

7.20

8.00

6.17

5.49

6.51

5.83

6.86

6.25

6.37

Mul

lidae

Goa

tfish

, Ye

llow

-stri

ped

Par

upen

eus

chry

sopl

euro

n5.

144.

574.

754.

865.

717.

716.

867.

137.

718.

576.

695.

947.

066.

317.

436.

256.

43

Pla

tyce

phal

idae

Flat

head

, Fr

inge

-eye

dC

ymba

ceph

alus

ne

mat

opht

halm

us6.

005.

335.

545.

676.

676.

695.

946.

186.

697.

436.

695.

947.

066.

317.

436.

256.

37

Ser

rani

dae

Cod

, Bre

akse

a (B

lack

-ars

e C

od)

Epi

neph

elid

es

arm

atus

5.79

6.21

6.19

7.07

6.00

5.79

6.21

6.19

7.50

6.00

5.79

6.21

7.07

7.07

6.00

6.25

6.34

Page 46: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

42 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 10

. con

t.Pa

ram

eter

s co

nsid

ered

mos

t im

port

ant i

n an

alys

is

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eR

&F

R&

CR

&M

R& Di

R&

Mo

D&

FD

&C

D&

MD

& Di

D&

Mo

S&F

S&C

S&M

S& Di

S& Mo

Non

eAv

e

Car

char

hini

dae

Sha

rk, G

rey

Ree

fC

arch

arhi

nus

ambl

yrhy

ncho

s6.

437.

077.

316.

436.

435.

435.

976.

185.

975.

436.

296.

918.

176.

296.

296.

386.

44

Car

char

hini

dae

Sha

rk, T

iger

Gal

eoce

rdo

cuvi

er6.

437.

077.

316.

436.

435.

435.

976.

185.

975.

436.

296.

918.

176.

296.

296.

386.

44

Car

char

hini

dae

Sha

rk, W

hite

tipTr

iaen

odon

obe

sus

6.43

7.07

7.31

6.43

6.43

5.43

5.97

6.18

5.97

5.43

6.29

6.91

8.17

6.29

6.29

6.38

6.44

Plo

tosi

dae

Cat

fish,

Stri

ped

Plo

tosu

s lin

eatu

s6.

886.

076.

386.

077.

696.

806.

006.

306.

407.

606.

315.

576.

695.

577.

066.

426.

49

Cal

liony

mid

aeD

rago

net,

Fing

ered

Dac

tylo

pus

dact

ylop

us6.

886.

076.

386.

077.

696.

806.

006.

306.

407.

606.

315.

576.

695.

577.

066.

426.

49

Dac

tylo

pter

idae

Sea

robi

n,

Orie

ntal

Dac

tylo

pten

a or

ient

alis

6.88

6.07

6.38

6.07

7.69

6.80

6.00

6.30

6.40

7.60

6.31

5.57

6.69

5.57

7.06

6.42

6.49

Pla

tyce

phal

idae

Flat

head

, Spi

nyO

nigo

cia

spin

osa

6.07

5.36

5.63

5.36

6.79

7.77

6.86

7.20

7.31

8.69

6.31

5.57

6.69

5.57

7.06

6.42

6.55

Aul

osto

mid

aeFl

utem

outh

, S

moo

thFi

stul

aria

co

mm

erso

nii

6.07

5.36

5.63

5.36

6.79

6.80

6.00

6.30

6.40

7.60

7.29

6.43

7.71

6.43

8.14

6.42

6.55

Apl

oact

inid

aeVe

lvet

fish,

B

eard

edP

arap

loac

tis in

tons

a6.

486.

486.

678.

008.

006.

316.

316.

508.

177.

805.

345.

346.

296.

606.

606.

676.

73

Cal

liony

mid

aeS

tinkf

ish,

M

ultif

ilam

ent

Cal

liony

mus

su

blae

vis

7.62

6.48

6.67

6.86

8.00

7.43

6.31

6.50

7.06

7.80

6.29

5.34

6.29

5.66

6.60

6.67

6.73

Car

char

hini

dae

Sha

rk, B

lack

-tip

Ree

fC

arch

arhi

nus

mel

anop

teru

s6.

757.

397.

596.

757.

075.

706.

246.

416.

245.

976.

607.

238.

496.

606.

916.

736.

80

Das

yatid

idae

Stin

gray

, Bro

wn

Ret

icul

ated

Das

yatis

leyl

andi

8.00

8.00

8.00

7.43

8.57

6.40

6.40

6.40

6.40

6.86

6.40

6.40

7.31

5.94

6.86

7.00

7.02

Lam

nida

eS

hark

, Sho

rtfin

M

ako

Isur

us o

xyrin

chus

7.07

7.71

7.88

7.07

7.71

5.97

6.51

6.65

6.51

6.51

6.91

7.54

8.80

6.91

7.54

7.08

7.16

Sph

yrni

dae

Sha

rk, S

moo

th

Ham

mer

head

Sph

yrna

zyg

aena

7.07

7.71

7.88

7.07

7.71

5.97

6.51

6.65

6.51

6.51

6.91

7.54

8.80

6.91

7.54

7.08

7.16

Spa

ridae

Pin

k sn

appe

rP

agru

s au

ratu

s6.

965.

755.

746.

156.

648.

857.

307.

298.

858.

438.

356.

907.

877.

387.

977.

157.

36

Cal

liony

mid

aeS

tinkf

ish,

G

oodl

ad’s

Cal

liony

mus

goo

dlad

i8.

387.

247.

338.

388.

767.

546.

516.

607.

897.

897.

546.

517.

547.

547.

897.

507.

57

Plo

tosi

dae

Cat

fish,

Sm

all-

head

edE

uris

thm

us

mic

roce

ps7.

716.

867.

137.

298.

577.

716.

867.

137.

718.

577.

716.

868.

147.

298.

577.

507.

61

Arii

dae

Gia

nt s

eaca

tfish

Net

uma

thal

assi

na7.

606.

607.

096.

607.

708.

697.

548.

108.

118.

808.

257.

178.

797.

178.

367.

637.

77

Das

yatid

idae

Stin

gray

, Bla

ck-

blot

ched

Taen

iura

mey

eni

8.36

9.64

9.00

8.36

9.64

7.06

8.14

7.60

7.60

8.14

8.17

9.43

10.0

68.

179.

438.

508.

59

Rhy

ncho

batid

aeS

hove

lnos

e R

ay, W

hite

spot

G

uita

r fis

h

Rhy

ncho

batu

s au

stra

liae

8.36

9.00

9.00

9.00

9.64

7.06

7.60

7.60

8.14

8.14

8.17

8.80

10.0

68.

809.

438.

508.

59

Page 47: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 43

Tabl

e 11

. To

p 20

rank

ed s

peci

es in

the

Wes

t Coa

st B

iore

gion

. Ran

k is

the

posi

tion

on th

e ris

k as

sess

men

t tab

le a

bove

. Sco

re is

the

aver

age

risk

asse

ssm

ent s

core

out

of a

pos

sibl

e 23

. Col

ours

repr

esen

t ris

k ca

tego

ries

as d

escr

ibed

in T

able

6; b

lue

= lo

w ri

sk; g

reen

= lo

w-m

oder

ate

risk;

ye

llow

= m

oder

ate

risk;

ora

nge

= m

oder

ate-

high

risk

; red

= h

igh

risk.

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eSc

ore

Com

men

ts

Pom

atom

idae

Tailo

rP

omat

omus

sa

ltatri

x5.

4If

fishi

ng re

mai

n at

leve

ls re

cord

ed in

this

stu

dy o

r fal

l bel

ow th

ese

leve

ls o

f ef

fort

ther

e sh

ould

be

no c

ause

for c

once

rn

Plo

tosi

dae

Cob

bler

Cni

dogl

anis

m

acro

ceph

alus

5.73

Neo

seba

stid

aeG

urna

rd P

erch

esN

eose

bast

es

pand

us6.

90

Ber

ycid

aeS

napp

er, R

ed

(big

htfis

h)C

entro

bery

x ge

rrar

di7.

00

Ser

rani

dae

Leop

ard

Wirr

ahA

cant

hist

ius

pard

alot

us5.

92E

ndem

ic s

peci

es c

augh

t at r

elat

ivel

y lo

w le

vels

. At l

evel

s re

cord

ed in

this

st

udy,

it m

ay n

ot b

e at

any

risk

; how

ever

mor

e bi

olog

ical

and

eco

logi

cal

info

rmat

ion

wou

ld p

rovi

de a

gre

ater

und

erst

andi

ng o

f thi

s sp

ecie

s an

d its

re

silie

nce

to fi

shin

g pr

essu

re.

Labr

idae

Gro

per,

Bal

dchi

nC

hoer

odon

ru

besc

ens

5.73

Thes

e ar

e ta

rget

spe

cies

that

are

und

ersi

ze o

r ind

ivid

uals

cau

ght b

eyon

d th

e ca

tch

quot

a. T

hey

are

all c

augh

t in

rela

tivel

y hi

gh le

vels

with

in s

ome

of

thos

e fis

herie

s th

at in

tera

ct w

ith th

em. A

t pre

sent

ther

e ar

e m

easu

res

in p

lace

to

mon

itor t

he s

tock

s of

thes

e sp

ecie

s, a

nd m

anag

emen

t is

tryin

g to

redu

ce

fishi

ng e

ffort

by 5

0%. F

urth

er re

sear

ch m

ay n

ot b

e re

quire

d un

til th

e im

pact

of

this

effo

rt re

duct

ion

is a

sses

sed.

Spa

ridae

Sna

pper

, Pin

kP

agru

s au

ratu

s6.

70

Gla

ucos

omat

idae

Dhu

fish,

Wes

t A

ustra

lian

Gla

ucos

oma

hebr

aicu

m7.

22

Ser

rani

dae

Cod

, Bre

akse

a (B

lack

-ars

e C

od)

Epi

neph

elid

es

arm

atus

7.31

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44 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 11

. con

t.Fa

mily

Com

mon

nam

eSp

ecie

s na

me

Scor

eC

omm

ents

Het

erod

ontid

aeP

ort J

acks

on S

hark

Het

erod

ontu

s po

rtusj

acks

oni

8.30

This

ela

smob

ranc

h sp

ecie

s is

cau

ght m

oder

atel

y to

abu

ndan

tly in

mos

t fis

herie

s th

at in

tera

ct w

ith th

em. T

hey

are

a hi

ghly

abu

ndan

t spe

cies

in W

A.

Ther

e se

ems

to b

e no

cau

se fo

r con

cern

at f

ishi

ng le

vels

reco

rded

in th

is

stud

y, b

ut s

houl

d le

vels

incr

ease

then

this

spe

cies

cou

ld p

oten

tially

be

at ri

sk.

A po

ssib

le s

ugge

stio

n w

ould

be

to g

athe

r mor

e in

form

atio

n on

the

dist

ribut

ion

and

abun

danc

e of

this

spe

cies

or d

evel

op m

onito

ring

tool

s to

mon

itor s

tock

s.Tr

iaki

dae

Sha

rk, W

hisk

ery

Furg

aleu

s m

acki

6.61

Thes

e sp

ecie

s ar

e pr

esen

t in

the

list b

ecau

se e

lasm

obra

nchs

hav

e lif

e hi

stor

y ch

arac

teris

tics

that

mak

e th

em s

usce

ptib

le to

ove

rfish

ing

and

they

w

ere

repo

rted

bein

g ca

ught

in n

umer

ous

fishe

ries.

How

ever

, the

acc

urac

y of

sp

ecie

s id

entif

icat

ion

is u

ncer

tain

and

the

iden

tifie

d le

vels

of s

hark

byc

atch

w

ere

smal

l rel

ativ

e to

targ

eted

cat

ches

at p

opul

atio

n or

sto

ck s

cale

s. A

s ta

rget

ed s

hark

cat

ches

are

car

eful

ly re

gula

ted,

regu

larly

mon

itore

d an

d co

nsid

ered

to b

e su

stai

nabl

e, th

e by

catc

h sc

ores

est

imat

ed h

ere

do n

ot

nece

ssar

ily re

pres

ent s

igni

fican

t ris

ks to

the

spec

ies’

pop

ulat

ions

/sto

cks.

Car

char

hini

dae

Sha

rk, B

lue

(Blu

e W

hale

r)P

riona

ce g

lauc

a6.

99

Car

char

hini

dae

‘bla

cktip

’C

arch

arhi

nus

spp.

(inc

ludi

ng

C. b

revi

pinn

a,

C. l

imba

tus,

C.

mel

anop

teru

s, C

. so

rrah

, C. t

ilsto

ni)

6.28

Car

char

hini

dae

Sha

rk, T

iger

Gal

eoce

rdo

cuvi

er6.

99

Car

char

hini

dae

Sha

rk, S

andb

arC

arch

arhi

nus

plum

beus

6.3

Sph

yrni

dae

Sm

ooth

ha

mm

erhe

adS

phyr

na z

ygae

na6.

83

Tria

kida

eS

hark

, Gum

my

Mus

telu

s an

tarc

ticus

7.72

Odo

ntas

pidi

dae

Gre

y N

urse

Sha

rks

Car

char

ias

taur

us5.

95Th

ese

spec

ies

are

TEP

S. A

t lev

els

reco

rded

in th

is s

tudy

, the

y ar

e ca

ught

m

inim

ally

and

may

not

be

at ri

sk. H

owev

er, s

houl

d fis

hing

leve

ls in

crea

se, t

hey

may

bec

ome

at ri

sk.

Syn

gnat

hida

eC

omm

on s

eadr

agon

Phy

llopt

eryx

ta

enio

latu

s5.

95

Lam

nida

eG

reat

Whi

te S

hark

Car

char

odon

ca

rcha

rias

7.03

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Fisheries Research Report [Western Australia] No. 212, 2010 45

Tabl

e 12

. To

p 20

rank

ed s

peci

es in

the

Gas

coyn

e C

oast

Bio

regi

on. R

ank

is th

e po

sitio

n on

the

risk

asse

ssm

ent t

able

abo

ve. S

core

is th

e av

erag

e ris

k as

sess

men

t sco

re o

ut o

f a p

ossi

ble

23. C

olou

rs re

pres

ent r

isk

cate

gorie

s as

des

crib

ed in

Tab

le 6

; blu

e =

low

risk

; gre

en =

low

-mod

erat

e ris

k;

yello

w =

mod

erat

e ris

k; o

rang

e =

mod

erat

e-hi

gh ri

sk; r

ed =

hig

h ris

k.

Fam

ilyC

omm

on n

ame

Spec

ies

nam

eSc

ore

Com

men

tsA

ulos

tom

idae

Flut

emou

th, S

moo

thFi

stul

aria

co

mm

erso

nii

6.55

If fis

hing

pre

ssur

e re

mai

ns a

t lev

els

reco

rded

in th

is s

tudy

, or f

all b

elow

thes

e le

vels

of

effo

rt th

ere

shou

ld b

e no

cau

se fo

r con

cern

Pla

tyce

phal

idae

Flat

head

, Spi

nyO

nigo

cia

spin

osa

6.55

Cal

liony

mid

aeS

tinkf

ish,

Goo

dlad

’sC

allio

nym

us

good

ladi

7.57

All

of th

ese

fish

are

incl

uded

in th

e to

p tw

enty

bec

ause

no

‘Age

at f

irst r

epro

duct

ion’

da

ta w

ere

avai

labl

e fo

r co-

gene

ra o

r co-

fam

ilial

spe

cies

so

they

rece

ived

a m

axim

um

scor

e of

5 fo

r thi

s pa

ram

eter

. If t

hey

had

rece

ived

a s

core

of t

hree

they

wou

ld h

ave

a m

uch

low

er re

lativ

e ris

k sc

ore.

C

allio

nym

idae

Stin

kfis

h,

Mul

tifila

men

tC

allio

nym

us

subl

aevi

s6.

73

Apl

oact

inid

aeVe

lvet

fish,

Bea

rded

Par

aplo

actis

in

tons

a6.

73

Cal

liony

mid

aeD

rago

net,

Fing

ered

Dac

tylo

pus

dact

ylop

us6.

49

Dac

tylo

pter

idae

Sea

robi

n, O

rient

alD

acty

lopt

ena

orie

ntal

is6.

49

Spa

ridae

Pin

k sn

appe

rP

agru

s au

ratu

s7.

36Th

is is

a ta

rget

spe

cies

that

are

cat

egor

ised

as

byca

tch

whe

n un

ders

ize

or in

divi

dual

s ca

ught

bey

ond

the

catc

h qu

ota.

It is

als

o ca

ught

as

juve

nile

s in

the

Sha

rk B

ay P

raw

n Tr

awl f

ishe

ry. I

t is

caug

ht a

t rel

ativ

ely

high

leve

ls w

ithin

wet

-line

fish

erie

s th

at in

tera

ct

with

them

, and

rela

tivel

y fe

w a

re c

augh

t in

the

traw

ls. E

colo

gica

l and

bio

logi

cal s

tudi

es

have

lead

to m

anag

emen

t cha

nges

that

are

des

igne

d to

mai

ntai

n th

e st

ock

of th

is

spec

ies.

Page 50: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

46 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 12

. con

t.Fa

mily

Com

mon

nam

eSp

ecie

s na

me

Scor

eC

omm

ents

Car

char

hini

dae

Sha

rk, G

rey

Ree

fC

arch

arhi

nus

ambl

yrhy

ncho

s6.

44Th

ese

spec

ies

are

pres

ent i

n th

e lis

t bec

ause

ela

smob

ranc

hs h

ave

life

hist

ory

char

acte

ristic

s th

at m

ake

them

sus

cept

ible

to o

verfi

shin

g an

d th

ey w

ere

repo

rted

bein

g ca

ught

in n

umer

ous

fishe

ries.

How

ever

, the

acc

urac

y of

spe

cies

iden

tific

atio

n is

unc

erta

in a

nd th

e id

entif

ied

leve

ls o

f sha

rk b

ycat

ch w

ere

smal

l rel

ativ

e to

targ

eted

ca

tche

s at

pop

ulat

ion

or s

tock

sca

les.

As

targ

eted

sha

rk c

atch

es a

re c

aref

ully

re

gula

ted,

regu

larly

mon

itore

d an

d co

nsid

ered

to b

e su

stai

nabl

e, th

e by

catc

h sc

ores

est

imat

ed h

ere

do n

ot n

eces

saril

y re

pres

ent s

igni

fican

t ris

ks to

the

spec

ies’

po

pula

tions

/sto

cks.

Car

char

hini

dae

Sha

rk, T

iger

Gal

eoce

rdo

cuvi

er6.

44

Car

char

hini

dae

Sha

rk, W

hite

tipTr

iaen

odon

ob

esus

6.44

Car

char

hini

dae

Sha

rk, B

lack

-tip

Ree

fC

arch

arhi

nus

spp.

6.80

Lam

nida

eS

hark

, Sho

rtfin

M

ako

Isur

us

oxyr

inch

us7.

16

Sph

yrni

dae

Sha

rk, S

moo

th

Ham

mer

head

Sph

yrna

zy

gaen

a7.

16

Rhy

ncho

batid

aeS

hove

lnos

e R

ay,

Whi

tesp

ot G

uita

r fis

h

Rhy

ncho

batu

s au

stra

liae

8.59

Das

yatid

idae

Stin

gray

, Bro

wn

Ret

icul

ated

Das

yatis

leyl

andi

7.02

Thes

e sp

ecie

s ar

e TE

PS

and

are

ela

smob

ranc

hs (s

ee a

bove

). A

t lev

els

reco

rded

in

this

stu

dy, t

hey

are

caug

ht m

inim

ally.

The

intro

duct

ion

of T

urtle

Exc

lusi

on D

evic

es

(TE

Ds)

in n

on-s

elec

tive

traw

l fis

hing

has

pro

babl

y re

duce

d th

e ca

tch

of la

rger

in

divi

dual

s of

thes

e sp

ecie

s ev

en fu

rther

and

may

not

be

at ri

sk. H

owev

er, s

houl

d fis

hing

leve

ls in

crea

se, t

hey

will

bec

ome

at ri

sk.

Das

yatid

idae

Stin

gray

, Bla

ck-

blot

ched

Taen

iura

mey

eni

8.59

Plo

tosi

dae

Cat

fish,

Stri

ped

Plo

tosu

s lin

eatu

s6.

49Th

ese

spec

ies

are

dem

ersa

l bro

odin

g sp

ecie

s, w

hich

hav

e lif

e hi

stor

y ch

arac

teris

tics

that

may

mak

e th

em s

usce

ptib

le to

traw

l fis

hing

. Fis

hing

leve

ls re

cord

ed in

this

stu

dy

are

low

for a

ll sp

ecie

s, e

xcep

t for

Plo

tosu

s lin

eatu

s. T

his

is a

lso

a sc

hool

ing

spec

ies

and

was

pic

ked

up ir

regu

larly

in la

rge

scho

ols.

At p

rese

nt fi

shin

g le

vels

thes

e sp

ecie

s ar

e no

t at r

isk.

Sho

uld

effo

rt in

crea

se, t

hese

spe

cies

may

bec

ome

at ri

sk.

Plo

tosi

dae

Cat

fish,

Sm

all-

head

edE

uris

thm

us

mic

roce

ps7.

61

Arii

dae

Gia

nt s

eaca

tfish

Net

uma

thal

assi

na7.

77

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Fisheries Research Report [Western Australia] No. 212, 2010 47

Tabl

e 13

. R

anki

ngs

for t

he b

iolo

gica

l pro

file

and

the

Fish

ery

Impa

ct P

rofil

e fo

r eac

h of

the

Thre

aten

ed, E

ndan

gere

d an

d P

rote

cted

spe

cies

repo

rted

in

the

Gas

coyn

e C

oast

Bio

regi

on. W

here

com

mon

nam

e re

fers

to a

gro

up o

f spe

cies

, the

mos

t com

mon

spe

cies

for t

hat r

egio

n w

as u

sed.

Dis

t.:

Dis

tribu

tion;

Con

s. L

ist:

Con

serv

atio

n Li

stin

g.

Bio

logi

cal P

rofil

eFi

sher

y Im

pact

pro

file

Bio

regi

onC

omm

on

nam

eSp

ecie

s na

me

Age

at

1st

re

pro.

No.

of

fspr

ing

Max

age

Mod

e of

re

pro.

Sum

of

Ran

ksM

orta

lity

Con

s.

list

Oth

er

Impa

cts

Dis

t.

Gas

coyn

e C

oast

Cor

mor

ant,

Gen

eral

Pha

lacr

ocor

ax v

ariu

s1

42

31

21

31

Sea

snak

eH

ydro

phis

ele

gans

23

24

51

11

1S

yngn

athi

ds

(byc

atch

)H

ippo

cam

pus

angu

stus

11

22

51

31

3

Turtl

e, fl

atba

ckN

atat

or d

epre

ssus

52

55

12

35

3Tu

rtle,

Gen

eral

Use

d C

helo

nia

myd

as5

15

54

24

51

Turtl

e, G

reen

Che

loni

a m

ydas

51

55

22

45

1Tu

rtle,

lo

gger

head

Car

etta

car

etta

51

55

22

45

1

Page 52: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

48 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 14

. R

anki

ngs

for t

he b

iolo

gica

l pro

file

and

the

Fish

ery

Impa

ct P

rofil

e fo

r eac

h of

the

Thre

aten

ed, E

ndan

gere

d an

d P

rote

cted

spe

cies

repo

rted

in

the

Wes

t Coa

st B

iore

gion

. Whe

re c

omm

on n

ame

refe

rs to

a g

roup

of s

peci

es, t

he m

ost c

omm

on s

peci

es fo

r tha

t reg

ion

was

use

d.

Bio

logi

cal P

rofil

eFi

sher

y Im

pact

pro

file

Bio

regi

onC

omm

on

nam

eSp

ecie

s na

me

Age

at

1st

re

pro.

No.

of

fspr

ing

Max

age

Mod

e of

re

pro.

Sum

of

Ran

ksM

orta

lity

Con

s.

list

Oth

er

Impa

cts

Dis

t.

Wes

t Coa

stC

orm

oran

t, G

ener

alP

hala

croc

orax

var

ius

14

23

32

13

1

Wha

les

Meg

apte

ra

nova

eang

liae

55

54

31

11

1

Sha

rk, G

reat

W

hite

Car

char

odon

ca

rcha

rias

52

44

22

31

1

Sha

rk, G

rey

nurs

eC

arch

ariu

s ta

urus

53

34

51

21

1

Dol

phin

sTu

rsio

ps tr

unca

tus

55

43

24

11

1S

eal,

Gen

eral

Arc

toce

phal

us fo

rste

ri5

43

31

51

53

Turtl

e, G

ener

alC

aret

ta c

aret

ta5

15

53

24

51

Page 53: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 49

Tabl

e 15

. R

anki

ngs

for t

he b

iolo

gica

l pro

file

and

the

Fish

ery

Impa

ct P

rofil

e fo

r eac

h of

the

Thre

aten

ed, E

ndan

gere

d an

d P

rote

cted

spe

cies

repo

rted

in

the

Sou

th C

oast

Bio

regi

on. W

here

com

mon

nam

e re

fers

to a

gro

up o

f spe

cies

, the

mos

t com

mon

spe

cies

for t

hat r

egio

n w

as u

sed.

Bio

logi

cal P

rofil

eFi

sher

y Im

pact

pro

file

Bio

regi

onC

omm

on

nam

eSp

ecie

s na

me

Age

at

1st

re

pro.

No.

of

fspr

ing

Max

age

Mod

e of

re

pro.

Sum

of

Ran

ksM

orta

lity

Con

s.

list

Oth

er

Impa

cts

Dis

t.

Sout

h C

oast

Cor

mor

ant,

Gen

eral

Pha

lacr

ocor

ax v

ariu

s1

42

51

11

31

Dol

phin

Turs

iops

trun

catu

s5

54

31

41

11

Duc

k, M

usk

Biz

iura

loba

ta1

34

33

21

33

Sea

lion

sN

eoph

oca

cine

rea

34

44

15

45

5S

eal,

Gen

eral

Arc

toce

phal

us fo

rste

ri5

42

33

41

53

Sha

rk, G

rey

nurs

eC

arch

ariu

s ta

urus

53

24

52

21

1

Sha

rk, W

hite

po

inte

rC

arch

arod

on

carc

haria

s5

24

45

13

11

She

arw

ater

, G

ener

alP

uffin

us c

arne

ipes

54

43

52

13

1

Turtl

e,

Leat

herb

ack

Der

moc

hely

s co

riace

a5

15

51

14

51

Turtl

es,

Gen

eral

Car

etta

car

etta

51

55

11

45

1

Wha

le,

Gen

eral

Meg

apte

ra

nova

eang

liae

55

43

11

11

1

Page 54: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

50 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 16

. Li

st o

f the

Gas

coyn

e C

oast

Thr

eate

ned,

End

ange

red

and

Pro

tect

ed (T

EP

) spe

cies

and

thei

r ris

k sc

ores

und

er v

aryi

ng c

ombi

natio

ns o

f w

eigh

ted

para

met

ers

in o

rder

of l

owes

t to

high

est a

vera

ge ri

sk. T

hose

par

amet

ers

liste

d at

the

top

of e

ach

colu

mn

are

cons

ider

ed th

e m

ost

impo

rtant

in th

at a

naly

sis

and

are

doub

le w

eigh

ted.

The

"non

e" c

olum

n ha

s no

wei

ghtin

g. T

he "a

ve" c

olum

n is

the

aver

age

of th

ose

ten

colu

mns

with

ext

ra w

eigh

ting.

R: R

epro

duct

ion;

F: F

ishi

ng; C

: Con

serv

atio

n lis

ting;

O: O

ther

impa

cts;

Di:

Dis

tribu

tion;

Mo:

Mor

talit

y; A

: Age

. W

here

com

mon

nam

e re

fers

to a

gro

up o

f spe

cies

, the

mos

t com

mon

spe

cies

for t

hat r

egio

n w

as u

sed.

Col

ours

repr

esen

t ris

k ca

tego

ries

as

desc

ribed

in T

able

6; b

lue

= lo

w ri

sk; g

reen

= lo

w-m

oder

ate

risk;

yel

low

= m

oder

ate

risk;

ora

nge

= m

oder

ate-

high

risk

; red

= h

igh

risk.

Bio

regi

onC

omm

on

nam

eSp

ecie

s na

me

R&

FR

&C

R&

OR

& Di

R&

Mo

A&

FA

&C

A&

OA

& Di

A&

Mo

Non

eAv

e

Gas

coyn

e C

oast

Syn

gnat

hids

(b

ycat

ch)

Hip

poca

mpu

s an

gust

us3.

883.

813.

333.

813.

334.

344.

273.

734.

273.

733.

903.

86

Cor

mor

ant,

Gen

eral

Pha

lacr

ocor

ax

variu

s4.

043.

864.

713.

864.

293.

773.

604.

403.

604.

004.

004.

01

Sea

snak

eH

ydro

phis

ele

gans

6.12

4.76

4.76

4.76

4.76

5.57

4.33

4.33

4.33

4.33

4.95

4.86

Turtl

e, G

reen

Che

loni

a m

ydas

9.92

11.5

712

.21

9.64

10.2

910

.80

12.6

013

.30

10.5

011

.20

11.2

011

.20

Turtl

e,

logg

erhe

adC

aret

ta c

aret

ta9.

9211

.57

12.2

19.

6410

.29

10.8

012

.60

13.3

010

.50

11.2

011

.20

11.2

0

Turtl

e, fl

atba

ckN

atat

or d

epre

ssus

10.0

611

.74

13.1

211

.74

11.0

510

.69

12.4

713

.93

12.4

711

.73

11.9

011

.92

Turtl

e, G

ener

alC

helo

nia

myd

as12

.12

12.8

613

.50

10.9

311

.57

13.2

014

.00

14.7

011

.90

12.6

012

.80

12.7

5

Page 55: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 51

Tabl

e 17

. Li

st o

f the

Wes

t Coa

st T

hrea

tene

d, E

ndan

gere

d an

d P

rote

cted

(TE

P) s

peci

es a

nd th

eir r

isk

scor

es u

nder

var

ying

com

bina

tions

of w

eigh

ted

para

met

ers

in o

rder

of l

owes

t to

high

est a

vera

ge ri

sk. T

hose

par

amet

ers

liste

d at

the

top

of e

ach

colu

mn

are

cons

ider

ed th

e m

ost i

mpo

rtant

in

that

ana

lysi

s an

d ar

e do

uble

wei

ghte

d. T

he "n

one"

col

umn

has

no w

eigh

ting.

The

"ave

" col

umn

is th

e av

erag

e of

thos

e te

n co

lum

ns w

ith e

xtra

w

eigh

ting.

R: R

epro

duct

ion;

F: F

ishi

ng; C

: Con

serv

atio

n lis

ting;

O: O

ther

impa

cts;

Di:

Dis

tribu

tion;

Mo:

Mor

talit

y; A

: Age

. Whe

re c

omm

on n

ame

refe

rs to

a g

roup

of s

peci

es, t

he m

ost c

omm

on s

peci

es fo

r tha

t reg

ion

was

use

d. C

olou

rs re

pres

ent r

isk

cate

gorie

s as

des

crib

ed in

Tab

le 6

; bl

ue =

low

risk

; gre

en =

low

-mod

erat

e ris

k; y

ello

w =

mod

erat

e ris

k; o

rang

e =

mod

erat

e-hi

gh ri

sk; r

ed =

hig

h ris

k.

Bio

regi

onC

omm

on n

ame

Spec

ies

nam

eR

&F

R&

CR

&O

R& Di

R&

Mo

A&

FA

&C

A&

OA

& Di

A&

Mo

Non

eAv

e

Wes

t Coa

stC

orm

oran

t, G

ener

alP

hala

croc

orax

va

rius

5.57

4.71

5.57

4.71

5.14

5.20

4.40

5.20

4.40

4.80

5.00

4.99

Wha

les

Meg

apte

ra

nova

eang

liae

7.86

6.29

6.29

6.29

6.29

8.00

6.40

6.40

6.40

6.40

6.65

6.69

Sha

rk, G

reat

W

hite

Car

char

odon

ca

rcha

rias

6.81

7.43

6.19

6.19

6.81

6.97

7.60

6.33

6.33

6.97

6.75

6.74

Sha

rk, G

rey

nurs

eC

arch

ariu

s ta

urus

7.86

7.14

7.14

7.14

9.29

7.70

7.00

7.00

7.00

9.10

7.65

7.47

Dol

phin

sTu

rsio

ps tr

unca

tus

9.64

7.71

7.07

7.07

7.07

9.00

7.20

6.60

6.60

6.60

7.50

7.55

Sea

l, G

ener

alA

rcto

ceph

alus

fo

rste

ri11

.57

10.2

912

.86

11.5

711

.57

10.8

09.

6012

.00

10.8

010

.80

11.2

511

.23

Turtl

e, G

ener

alC

aret

ta c

aret

ta11

.57

12.2

112

.86

10.2

910

.93

12.6

013

.30

12.6

09.

8011

.90

12.0

011

.80

Page 56: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

52 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 18

. Li

st o

f the

Sou

th C

oast

Thr

eate

ned,

End

ange

red

and

Pro

tect

ed (T

EP

) spe

cies

and

thei

r ris

k sc

ores

und

er v

aryi

ng c

ombi

natio

ns o

f wei

ghte

d pa

ram

eter

s in

ord

er o

f low

est t

o hi

ghes

t ave

rage

risk

. Tho

se p

aram

eter

s lis

ted

at th

e to

p of

eac

h co

lum

n ar

e co

nsid

ered

the

mos

t im

porta

nt in

th

at a

naly

sis

and

are

doub

le w

eigh

ted.

The

"non

e" c

olum

n ha

s no

wei

ghtin

g. T

he "a

ve" c

olum

n is

the

aver

age

of th

ose

ten

colu

mns

with

ext

ra

wei

ghtin

g. R

: Rep

rodu

ctio

n; F

: Fis

hing

; C: C

onse

rvat

ion

listin

g; O

: Oth

er im

pact

s; D

i: D

istri

butio

n; M

o: M

orta

lity;

A: A

ge. W

here

com

mon

nam

e re

fers

to a

gro

up o

f spe

cies

, the

mos

t com

mon

spe

cies

for t

hat r

egio

n w

as u

sed.

Col

ours

repr

esen

t ris

k ca

tego

ries

as d

escr

ibed

in T

able

6;

blue

= lo

w ri

sk; g

reen

= lo

w-m

oder

ate

risk;

yel

low

= m

oder

ate

risk;

ora

nge

= m

oder

ate-

high

risk

; red

= h

igh

risk.

Bio

regi

onC

omm

on n

ame

Spec

ies

nam

eR

&F

R&

CR

&O

R& Di

R&

Mo

A&

FA

&C

A&

OA

& Di

A&

Mo

Non

eAv

e

Sout

h C

oast

Cor

mor

ant,

Gen

eral

Pha

lacr

ocor

ax v

ariu

s4.

194.

195.

244.

194.

193.

733.

734.

673.

733.

734.

204.

21

Wha

le, G

ener

alM

egap

tera

no

vaea

nglia

e4.

294.

294.

294.

294.

294.

204.

204.

204.

204.

204.

254.

25

Duc

k, M

usk

Biz

iura

loba

ta6.

436.

436.

436.

438.

576.

306.

306.

306.

308.

406.

806.

61D

olph

inTu

rsio

ps tr

unca

tus

6.43

5.57

6.43

6.43

6.00

7.50

6.50

7.50

7.50

7.00

6.60

6.65

Sha

rk, G

rey

nurs

eC

arch

ariu

s ta

urus

9.90

8.05

7.43

7.43

8.05

8.53

6.93

6.40

6.40

6.93

7.70

7.68

Sha

rk, W

hite

po

inte

rC

arch

arod

on

carc

haria

s9.

908.

677.

437.

437.

4310

.13

8.87

7.60

7.60

7.60

8.25

8.34

She

arw

ater

, G

ener

alP

uffin

us c

arne

ipes

11.3

38.

6710

.00

8.67

9.33

11.3

38.

6710

.00

8.67

9.33

9.60

9.63

Turtl

e,

Leat

herb

ack

Der

moc

hely

s co

riace

a8.

3610

.29

10.9

38.

368.

369.

1011

.20

11.9

09.

109.

109.

609.

73

Turtl

es, G

ener

alC

aret

ta c

aret

ta8.

3610

.29

10.9

38.

368.

369.

1011

.20

11.9

09.

109.

109.

609.

73

Sea

l, G

ener

alA

rcto

ceph

alus

fo

rste

ri11

.76

10.5

213

.00

11.7

612

.38

10.1

39.

0711

.20

10.1

310

.67

11.2

011

.11

Sea

lion

sN

eoph

oca

cine

rea

13.0

014

.86

15.4

815

.48

15.4

813

.30

15.2

015

.83

15.8

315

.83

15.0

014

.94

Page 57: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 53

Tabl

e 19

. TE

P sp

ecie

s in

the

Gas

coyn

e C

oast

Bio

regi

on. R

ank

is th

e po

sitio

n on

the

risk

asse

ssm

ent t

able

abo

ve. S

core

is th

e av

erag

e ris

k as

sess

men

t sc

ore

out o

f a p

ossi

ble

25. W

here

com

mon

nam

e re

fers

to a

gro

up o

f spe

cies

, the

mos

t com

mon

spe

cies

for t

hat r

egio

n w

as u

sed.

Whe

re

com

mon

nam

e re

fers

to a

gro

up o

f spe

cies

, the

mos

t com

mon

spe

cies

for t

hat r

egio

n w

as u

sed.

Col

ours

repr

esen

t ris

k ca

tego

ries

as

desc

ribed

in T

able

6; b

lue

= lo

w ri

sk; g

reen

= lo

w-m

oder

ate

risk;

yel

low

= m

oder

ate

risk;

ora

nge

= m

oder

ate-

high

risk

; red

= h

igh

risk.

Com

mon

nam

eSp

ecie

s na

me

Scor

eC

omm

ents

Syn

gnat

hids

(byc

atch

)H

ippo

cam

pus

angu

stus

3.86

All

thes

e TE

PS

hav

e lo

w to

low

-mod

erat

e ris

k as

sess

men

t sco

res

base

d on

cur

rent

dat

a an

d m

etho

ds. A

s th

ey a

re T

EP

spec

ies,

this

sco

re s

houl

d no

t dis

coun

t the

nee

d to

miti

gate

th

e ca

tch

of th

ese

spec

ies.

Mor

e st

udie

s of

miti

gatio

n te

chni

ques

are

requ

ired

to e

nabl

e re

duct

ion

of th

ese

TEP

spec

ies.

Cor

mor

ant,

Gen

eral

Pha

lacr

ocor

ax v

ariu

s4.

01

Sea

snak

eH

ydro

phis

ele

gans

4.86

Turtl

e, G

reen

Che

loni

a m

ydas

11.2

0Tu

rtles

are

hig

h in

this

risk

ass

essm

ent d

ue to

thei

r hig

h-ris

k lif

e hi

stor

y ch

arac

teris

tics

and

thei

r end

ange

red

cons

erva

tion

stat

us. N

on-s

elec

tive

traw

ling

mos

tly c

atch

es th

em. T

urtle

ex

clus

ion

devi

ces

(TE

Ds)

hav

e be

en in

stal

led

in a

ll G

asco

yne

fishe

ries

and

evid

ence

sho

ws

that

the

maj

ority

of t

urtle

s ar

e ex

clud

ed fr

om th

e ne

ts w

ith m

inim

al m

orta

lity

(Kan

gas

and

Thom

pson

, 200

4).

Turtl

e, lo

gger

head

Car

etta

car

etta

11.2

0

Turtl

e, fl

atba

ckN

atat

or d

epre

ssus

11.9

2

Turtl

e, G

ener

alC

helo

nia

myd

as12

.75

Page 58: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

54 Fisheries Research Report [Western Australia] No. 212, 2010

Tabl

e 20

. TE

P sp

ecie

s in

the

Wes

t Coa

st B

iore

gion

. Ran

k is

the

posi

tion

on th

e ris

k as

sess

men

t tab

le a

bove

. Sco

re is

the

aver

age

risk

asse

ssm

ent

scor

e ou

t of a

pos

sibl

e 25

. Whe

re c

omm

on n

ame

refe

rs to

a g

roup

of s

peci

es, t

he m

ost c

omm

on s

peci

es fo

r tha

t reg

ion

was

use

d. C

olou

rs

repr

esen

t ris

k ca

tego

ries

as d

escr

ibed

in T

able

6; b

lue

= lo

w ri

sk; g

reen

= lo

w-m

oder

ate

risk;

yel

low

= m

oder

ate

risk;

ora

nge

= m

oder

ate-

high

ris

k; re

d =

high

risk

.

Com

mon

nam

eSp

ecie

s na

me

Scor

eC

omm

ents

Cor

mor

ant,

Gen

eral

Pha

lacr

ocor

ax v

ariu

s4.

99A

ll th

ese

TEP

S h

ave

low

to lo

w-m

oder

ate

risk

asse

ssm

ent s

core

s ba

sed

on c

urre

nt d

ata

and

met

hods

. As

they

are

TE

P sp

ecie

s, th

is s

core

sho

uld

not d

isco

unt t

he n

eed

to m

itiga

te

the

catc

h of

thes

e sp

ecie

s. M

ore

stud

ies

of m

itiga

tion

tech

niqu

es a

re re

quire

d to

ena

ble

redu

ctio

n of

thes

e TE

P sp

ecie

s.W

hale

sM

egap

tera

nov

aean

glia

e6.

69

Sha

rk, G

reat

Whi

teC

arch

arod

on c

arch

aria

s6.

74

Sha

rk, G

rey

nurs

eC

arch

ariu

s ta

urus

7.47

Dol

phin

sTu

rsio

ps tr

unca

tus

7.55

Sea

l, G

ener

alA

rcto

ceph

alus

fors

teri

11.2

3O

nly

one

repo

rted

inte

ract

ion

in th

e la

st 4

yea

rs. T

he s

eal d

ied

in th

is p

artic

ular

inte

ract

ion

so 1

00%

mor

talit

y w

as re

cord

ed. T

his

grou

p fe

atur

es re

lativ

ely

high

ly b

ecau

se o

f the

m

amm

alia

n lif

e hi

stor

y ch

arac

teris

tics

and

the

high

per

cent

age

mor

talit

y ra

nkin

g.

Turtl

e, G

ener

alC

aret

ta c

aret

ta11

.80

Turtl

es a

re re

lativ

ely

high

in th

is ri

sk a

sses

smen

t due

to th

eir h

igh-

risk

life

hist

ory

char

acte

ristic

s an

d th

eir e

ndan

gere

d co

nser

vatio

n st

atus

. Non

-sel

ectiv

e tra

wlin

g m

ostly

ca

tche

s th

em. T

urtle

exc

lusi

on d

evic

es (T

ED

s) h

ave

been

inst

alle

d in

all

Gas

coyn

e fis

herie

s an

d ev

iden

ce s

how

s th

at th

e m

ajor

ity o

f tur

tles

are

excl

uded

from

the

nets

with

m

inim

al m

orta

lity

(Kan

gas

and

Thom

pson

, 200

4).

Page 59: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 55

Tabl

e 21

. TE

P sp

ecie

s in

the

Sout

h C

oast

Bio

regi

on. R

ank

is th

e po

sitio

n on

the

risk

asse

ssm

ent t

able

abo

ve. S

core

is th

e av

erag

e ris

k as

sess

men

t sco

re

out o

f a p

ossi

ble

25. W

here

com

mon

nam

e re

fers

to a

gro

up o

f spe

cies

, the

mos

t com

mon

spe

cies

for t

hat r

egio

n w

as u

sed.

Col

ours

repr

esen

t ris

k ca

tego

ries

as d

escr

ibed

in T

able

6; b

lue

= lo

w ri

sk; g

reen

= lo

w-m

oder

ate

risk;

yel

low

= m

oder

ate

risk;

ora

nge

= m

oder

ate-

high

risk

; red

= h

igh

risk.

Com

mon

nam

eSp

ecie

s na

me

Scor

eC

omm

ents

Cor

mor

ant,

Gen

eral

Pha

lacr

ocor

ax v

ariu

s4.

21A

ll th

ese

TEP

S h

ave

low

to lo

w-m

oder

ate

risk

asse

ssm

ent s

core

s ba

sed

on c

urre

nt d

ata

and

met

hods

. As

they

are

TE

P sp

ecie

s, th

is s

core

sho

uld

not d

isco

unt t

he n

eed

to m

itiga

te th

e ca

tch

of th

ese

spec

ies.

Mor

e st

udie

s of

miti

gatio

n te

chni

ques

are

requ

ired

to e

nabl

e re

duct

ion

of th

ese

TEP

spec

ies.

Wha

le, G

ener

alM

egap

tera

no

vaea

nglia

e4.

25

Duc

k, M

usk

Biz

iura

loba

ta6.

61

Dol

phin

Turs

iops

trun

catu

s6.

65

Sha

rk, G

rey

nurs

eC

arch

ariu

s ta

urus

7.68

It is

impo

rtant

to n

ote

that

whi

le th

is s

peci

es is

list

ed a

s cr

itica

lly e

ndan

gere

d in

NS

W, i

t is

only

lis

ted

as n

ear t

hrea

tene

d in

WA

. Thi

s ris

k sc

ore

does

not

cre

ate

conc

ern

for t

his

spec

ies.

Sha

rk, W

hite

po

inte

rC

arch

arod

on

carc

haria

s8.

34In

tera

ctio

ns w

ith th

is s

peci

es a

re ir

regu

lar a

nd th

e in

tera

ctio

n m

orta

lity

rate

is lo

w. T

his

risk

scor

e do

es n

ot c

reat

e co

ncer

n fo

r thi

s sp

ecie

s, b

ut d

oes

not n

egat

e th

e ne

ed to

inve

stig

ate

miti

gatio

n te

chni

ques

.S

hear

wat

er,

Gen

eral

Use

d P

uffin

us

carn

eipe

s9.

63Th

is is

bas

ed o

n in

tera

ctio

ns w

ith s

ever

al s

peci

es. D

espi

te lo

w m

orta

lity

and

thei

r con

serv

atio

n lis

ting

is le

ast c

once

rn, t

heir

avia

n lif

e hi

stor

y ch

arac

teris

tics

and

high

inte

ract

ion

rate

det

erm

ine

this

gro

ups

scor

e.Tu

rtle,

Lea

ther

back

Der

moc

hely

s co

riace

a9.

73Tu

rtles

are

hig

h in

this

risk

ass

essm

ent d

ue to

thei

r hig

h-ris

k lif

e hi

stor

y ch

arac

teris

tics

and

thei

r en

dang

ered

con

serv

atio

n st

atus

. In

the

past

four

yea

rs 1

turtl

e w

as re

porte

d ca

ught

with

a s

quid

jig

and

the

othe

r rep

ort w

as fr

om a

pot

on

the

Sou

th C

oast

. Nei

ther

cau

sed

mor

talit

y.

Turtl

es, G

ener

alU

sed

Car

etta

car

etta

9.73

Sea

l, G

ener

alA

rcto

ceph

alus

fors

teri

11.1

1Th

e “S

eal,

gene

ral”

grou

p fro

m th

e S

CB

may

be

a nu

mbe

r of s

peci

es in

clud

ing

the

enda

nger

ed

AS

L. F

or n

otes

on

this

gro

up s

ee b

elow

.

Sea

lion

sN

eoph

oca

cine

rea

14.9

4S

ea li

ons

are

high

in th

is ri

sk a

sses

smen

t due

to th

eir h

igh-

risk

life

hist

ory

char

acte

ristic

s an

d th

eir e

ndan

gere

d co

nser

vatio

n st

atus

. The

y ha

ve re

porte

dly

been

cau

ght t

wic

e (o

nly

2009

) in

the

past

four

yea

rs in

the

Dem

ersa

l gill

net f

ishe

ry w

ith 1

00%

mor

talit

y. E

stim

ates

of i

nter

actio

ns

betw

een

the

DG

LL fi

sher

y an

d A

SL

are

requ

ired

by D

EW

HA

and

DoF

. Dis

cuss

ions

are

und

erw

ay

with

man

agem

ent a

nd in

dust

ry to

wor

k ou

t a c

ost e

ffect

ive

way

to m

onito

r and

miti

gate

AS

L in

tera

ctio

ns.

Page 60: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

56 Fisheries Research Report [Western Australia] No. 212, 2010

6.0 Appendices

Appendix 1. List of bycatch fish caught in the West Coast and Gascoyne Bioregions, including reported species name and the closest CAAB (Codes for Australian Aquatic Biota) scientific name. Not all species have CAAB scientific names and codes.

Page 61: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 57

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Alb

ulid

aeA

lbul

a ne

ogui

naic

aB

onef

ish

Alb

ula

fors

teri

3705

5001

Ant

enna

riida

eA

nten

nariu

s st

riatu

sA

ngle

rfish

, Stri

ped

Ant

enna

rius

stria

tus

3721

0009

Ant

enna

riida

eH

istri

o hi

strio

Sar

gass

um F

ish

His

trio

hist

rio37

2100

25A

nten

narii

dae

Tath

icar

pus

butle

riA

ngle

rfish

, But

ler’s

Tath

icar

pus

butle

ri37

2100

03A

nten

narii

dae

Tetra

brac

hium

sp

Ang

lerfi

sh, H

umpb

ack

Tetra

brac

hium

oce

llatu

m37

2100

10A

ploa

ctin

idae

Adv

ento

r elo

ngat

usVe

lvet

fish,

San

dpap

erA

dven

tor e

long

atus

3729

0004

Apl

oact

inid

aeA

ploa

ctis

asp

era

Velv

etfis

h, D

usky

Apl

oact

is a

sper

a37

2900

05A

ploa

ctin

idae

Kan

ekon

ica

quee

nsla

ndic

aVe

lvet

fish,

Que

ensl

and

Kan

ekon

ia q

ueen

slan

dica

37

2900

07A

ploa

ctin

idae

Par

aplo

actis

into

nsa

Velv

etfis

h, B

eard

edP

arap

loac

tis in

tons

a37

2900

10A

ploa

ctin

idae

Per

istro

min

ous

dolo

sus

Velv

etfis

h, C

odP

eris

trom

inou

s do

losu

s37

2900

12A

pogo

nida

eA

pogo

n br

evic

auda

taC

ardi

nalfi

sh, M

any-

band

edA

pogo

nich

thyo

ides

bre

vica

udat

us37

3270

05A

pogo

nida

eA

pogo

n ca

vitie

nsis

Car

dina

lfish

, Cav

iteA

pogo

n ca

vitie

nsis

3732

7028

Apo

goni

dae

Apo

gon

ellio

tiC

ardi

nalfi

sh, F

lagf

inA

pogo

n tru

ncat

us37

3270

13A

pogo

nida

eA

pogo

n fu

scom

acul

atus

Car

dina

lfish

, Bro

wn-

spot

ted

Apo

gon

argy

roga

ster

37

3270

24A

pogo

nida

eA

pogo

n m

onoc

hrou

sC

ardi

nalfi

sh, Y

ello

w-e

yeA

pogo

n m

onos

pilu

s37

3270

67A

pogo

nida

eA

pogo

n ni

grip

inni

sC

ardi

nalfi

sh, T

wo-

eyed

Apo

gon

nigr

ipin

nis

3732

7009

Apo

goni

dae

Apo

gon

poec

ilopt

erus

Car

dina

lfish

, Pea

rly-fi

nned

Apo

gon

poec

ilopt

erus

3732

7026

Apo

goni

dae

Apo

gon

quad

rifas

ciat

usC

ardi

nalfi

sh, B

road

-ban

ded

Apo

gon

quad

rifas

ciat

us37

3270

08A

pogo

nida

eA

pogo

n ru

eppe

llii

Car

dina

lfish

, Gob

bleg

uts

Apo

gon

ruep

pelli

i37

3270

40A

pogo

nida

eA

pogo

n se

mili

neat

usC

ardi

nalfi

sh, B

lack

-tipp

edA

pogo

n se

mili

neat

us37

3270

04A

pogo

nida

eA

pogo

n vi

ctor

iae

Car

dina

lfish

, Red

-Stri

ped

Apo

gon

vict

oria

e37

3270

79A

pogo

nida

eA

rcha

mia

mel

asm

aC

ardi

nalfi

sh, B

lack

spot

Arc

ham

ia b

igut

tata

3732

7084

Apo

goni

dae

Foa

brac

hygr

amm

aC

ardi

nalfi

sh, W

eed

Foa

brac

hygr

amm

a37

3270

94A

pogo

nida

eS

ipha

mia

cep

halo

tes

Woo

d’s

Sip

honf

ish

Sip

ham

ia c

epha

lote

s37

3270

32A

pogo

nida

eS

ipha

mia

rose

igas

ter

Car

dina

lfish,

Pin

k-br

east

ed S

ipho

nfis

hS

ipha

mia

rose

igas

ter

3732

7017

Ara

cani

dae

Ara

cana

aur

itaS

haw

’s C

owfis

hA

raca

na a

urita

3746

6003

Arii

dae

Ariu

s sp

.C

atfis

h, S

alm

onA

rius

spp.

3718

8901

Arii

dae

Ariu

s sp

pC

atfis

h, F

ork-

Taile

dA

rius

spp

3718

8901

Arii

dae

Neo

ariu

s be

rney

i C

atfis

h, F

ork-

Taile

dN

eoar

ius

bern

eyi

3718

8012

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58 Fisheries Research Report [Western Australia] No. 212, 2010

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Arii

dae

Net

uma

thal

assi

naC

atfis

h, G

iant

Sal

mon

Net

uma

thal

assi

na37

1880

01A

rnog

loss

idae

Arn

oglo

ssus

meu

leri

Meu

ler’s

Flo

unde

rA

rnog

loss

us m

uelle

ri37

4600

30A

rnog

loss

idae

Arn

oglo

ssus

sp

Arn

oglo

ssus

Bot

hida

e38

4600

00A

rrip

idae

Arr

ipis

geo

rgia

nus

Her

ring,

Aus

tralia

nA

rrip

is g

eorg

ianu

s37

3440

01A

rrip

idae

Arr

ipis

trut

tace

usS

alm

on, A

ustra

lian

Arr

ipis

trut

tace

us37

3440

04A

ther

inid

aeA

ther

inom

orus

vai

gien

sis

Har

dyhe

ad, O

gilb

y’s

Ath

erin

omor

us v

aigi

ensi

s37

2460

07A

ther

inid

aeH

ypoa

ther

ina

tem

min

ckii

Har

dyhe

ad, S

amoa

nH

ypoa

ther

ina

tem

min

ckii

3724

6034

Aul

opid

ae

Aul

opus

pur

puris

satu

sS

erge

ant B

aker

Aul

opus

pur

puris

satu

s37

1170

01A

ulos

tom

idae

Fist

ular

ia c

omm

erso

nii

Flut

emou

th, S

moo

thFi

stul

aria

com

mer

soni

i37

2780

01B

alis

tidae

Aba

liste

s st

ella

tus

Trig

gerfi

sh, S

tarr

yA

balis

tes

stel

latu

s37

4650

11B

alis

tidae

Aca

ntha

lute

res

spilo

mel

anur

usLe

athe

rjack

et, B

ridle

dA

cant

halu

tere

s sp

ilom

elan

urus

3746

5043

Bal

istid

aeB

alis

tidae

Trig

gerfi

shes

, gen

eral

Bal

istid

ae37

4650

00B

athy

saur

idae

Sau

rida

tum

bil

Grin

ner,

Com

mon

Sau

rida

tum

bil

3711

8028

Bat

rach

oidi

dae

Bat

rach

omoe

us d

ahli

Frog

fish,

Dah

l’sB

atra

chom

oeus

dah

li37

2050

07B

atra

choi

dida

eB

atra

chom

oeus

tris

pino

sus

Frog

fish,

Thr

ee-s

pine

dB

atra

chom

oeus

tris

pino

sus

3720

5003

Bat

rach

oidi

dae

Hal

ophr

yne

ocel

latu

sFr

ogfis

h, O

cella

ted

Hal

ophr

yne

ocel

latu

s37

2050

05B

elon

idae

Abl

enne

s hi

ans

Long

tom

, Bar

red

Abl

enne

s hi

ans

3723

5001

Bel

onid

aeB

elon

idae

Long

tom

s, g

ener

alB

elon

idae

3723

5000

Bel

onid

aeS

trong

ylur

a le

iura

Long

tom

, Sle

nder

Stro

ngyl

ura

leiu

ra37

2350

03B

elon

idae

Tylo

suru

s cr

ocod

ilus

Long

tom

, Cro

codi

lian

Tylo

suru

s cr

ocod

ilus

3723

5005

Ber

ycid

aeC

entro

bery

x au

stra

lisS

napp

er, Y

ello

w-e

yed

Red

Cen

trobe

ryx

aust

ralis

3725

8006

Ber

ycid

aeC

entro

bery

x ge

rrar

diS

napp

er, R

ed (N

anny

gai)

Cen

trobe

ryx

gerr

ardi

3725

8004

Ber

ycid

aeC

entro

bery

x lin

eatu

sS

wal

low

tail

Cen

trobe

ryx

linea

tus

3725

8005

Ble

nnid

aeM

eiac

anth

us lu

teus

Ble

nny,

Yel

low

Fan

gM

eiac

anth

us lu

teus

3740

8054

Ble

nniid

aeP

etro

scirt

es b

revi

ceps

Ble

nny,

Sho

rt-he

aded

Sab

reto

oth

Pet

rosc

irtes

bre

vice

ps37

4080

71B

lenn

iidae

Xip

hasi

a se

tifer

Ble

nny,

Hai

r-ta

iled

Xip

hasi

a se

tifer

3740

8001

Bot

hida

eA

rnog

loss

us a

spilo

sFl

ound

er, S

potle

ss L

efte

yeA

rnog

loss

us a

spilo

s37

4600

21B

othi

dae

Arn

oglo

ssus

wai

tei

Flou

nder

, Spo

tless

Arn

oglo

ssus

wai

tei

3746

0045

Bot

hida

eA

ster

orho

mbu

s in

term

ediu

sFl

ound

er, I

nter

med

iate

Ast

eror

hom

bus

inte

rmed

ius

3746

0046

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Fisheries Research Report [Western Australia] No. 212, 2010 59

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Bot

hida

eC

ross

orho

mbu

s az

ureu

sFl

ound

er, B

lue-

spot

ted

Cro

ssor

hom

bus

azur

eus

3746

0019

Bot

hida

eE

ngyp

roso

pon

gran

disq

uam

aFl

ound

er, S

piny

-hea

ded

Eng

ypro

sopo

n gr

andi

squa

ma

3746

0012

Bot

hida

eE

ngyp

roso

pon

mal

dive

nsis

Flou

nder

, Oliv

e W

ide-

eye

Eng

ypro

sopo

n m

aldi

vens

is37

4600

13B

othi

dae

Eng

ypro

sopo

n sp

.Fl

ound

erB

othi

dae

3746

0000

Bot

hida

eG

ram

mat

obot

hus

penn

atus

Flou

nder

, Pen

nant

Gra

mm

atob

othu

s pe

nnat

us37

4600

16B

othi

dae

Gra

mm

atob

othu

s po

lyop

htha

lmus

Flou

nder

, Thr

ee-s

pot

Gra

mm

atob

othu

s po

lyop

htha

lmus

3746

0010

Bot

hida

eP

seud

orho

mbu

s ar

gus

Flou

nder

, Pea

cock

Pse

udor

hom

bus

argu

s37

4600

38B

othi

dae

Pse

udor

hom

bus

arsi

usFl

ound

er, L

arge

-toot

hed

Pse

udor

hom

bus

arsi

us37

4600

09B

othi

dae

Pse

udor

hom

bus

dipl

ospi

lus

Flou

nder

, Tw

insp

otP

seud

orho

mbu

s di

plos

pilu

s37

4600

15B

othi

dae

Pse

udor

hom

bus

elev

atus

Flou

nder

, Dee

p-bo

died

Pse

udor

hom

bus

elev

atus

3746

0008

Bot

hida

eP

seud

orho

mbu

s je

nyns

iiFl

ound

er, S

mal

l-too

thed

Pse

udor

hom

bus

jeny

nsii

3746

0002

Bot

hida

eP

seud

orho

mbu

s sp

inos

usFl

ound

er, S

piny

Pse

udor

hom

bus

spin

osus

3746

0011

Bre

gmac

erot

idae

Bre

gmac

eros

sp

Cod

let

Bre

gmac

erot

idae

3722

5000

Byt

hitid

aeM

onot

hrix

miz

olep

isE

el, S

mal

leye

Cus

keel

Did

ymot

hallu

s m

izol

epis

37

2280

32C

aesi

onid

aeC

aesi

onid

aeFu

silie

rs, J

obfis

hes

Cae

sion

idae

3734

6000

Cae

sion

idae

Sym

phor

us n

emat

opho

rus

Chi

nam

an F

ish

Sym

phor

us n

emat

opho

rus

3734

6017

Cal

liony

mid

aeC

allio

nym

us g

oodl

adi

Stin

kfis

h, G

oodl

ad’s

Cal

liony

mid

aeC

allio

nym

us g

ross

iS

tinkf

ish,

Gro

ss’s

Cal

liuric

hthy

s gr

ossi

3742

7007

Cal

liony

mid

aeD

acty

lopu

s da

ctyl

opus

Dra

gone

t, Fi

nger

edD

acty

lopu

s da

ctyl

opus

3742

7005

Cal

liony

mid

aeP

seud

ocal

liuric

hthy

s go

odla

diG

oodl

ads

stin

kfis

hP

seud

ocal

liuric

hthy

s go

odla

di37

4270

06C

allio

nym

idae

Rep

omuc

enus

cal

cara

tus

Stin

kfis

h, S

potte

dR

epom

ucen

us c

alca

ratu

s37

4270

15C

allio

nym

idae

Rep

omuc

enus

sub

laev

isS

tinkf

ish,

Mul

tifila

men

tR

epom

ucen

us s

ubla

evis

3742

7010

Cal

liony

mid

aeS

ynch

iropu

s ra

meu

sD

rago

net,

Hig

h-fin

ned

Orb

onym

us ra

meu

s37

4270

09C

allio

nym

idae

D

acty

lopu

s da

ctyl

opus

Fing

ered

Dra

gone

tD

acty

lopu

s da

ctyl

opus

3742

7005

Cal

lysp

ongi

dae

Cal

lysp

ongi

a sp

.S

tairc

ase

spon

geC

ally

spon

giid

ae10

0980

00C

aran

gida

eA

lect

is in

dicu

sTr

eval

ly, D

iam

ond

Ale

ctis

indi

ca37

3370

38C

aran

gida

eA

lepe

s ap

ercn

aTr

eval

ly, S

mal

l Mou

th S

cad

Ale

pes

aper

cna

3733

7010

Car

angi

dae

Ale

pes

djed

aba

Trev

ally,

Shr

imp

Sca

d

C

aran

gida

eA

tule

mat

eS

cad,

Yel

low

tail

Atu

le m

ate

3733

7024

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60 Fisheries Research Report [Western Australia] No. 212, 2010

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Car

angi

dae

Car

ango

ides

chr

ysop

hrys

Trev

ally,

Clu

b-no

sed

Car

ango

ides

chr

ysop

hrys

3733

7011

Car

angi

dae

Car

ango

ides

fulv

ogut

tatu

sTr

eval

ly, G

old-

Spo

tted/

Turr

umC

aran

goid

es fu

lvog

utta

tus

3733

7037

Car

angi

dae

Car

ango

ides

gym

nost

ethu

s Tr

eval

ly, B

ludg

erC

aran

goid

es g

ymno

stet

hus

3733

7022

Car

angi

dae

Car

ango

ides

hed

land

ensi

sTr

eval

ly, B

ump-

nose

dC

aran

goid

es h

edla

nden

sis

3733

7042

Car

angi

dae

Car

ango

ides

mal

abar

icus

Trev

ally,

Mal

abar

Car

ango

ides

mal

abar

icus

3733

7005

Car

angi

dae

Car

ango

ides

tala

mpa

roid

esTr

eval

ly, W

hite

-tong

ued

Car

ango

ides

tala

mpa

roid

es37

3370

43C

aran

gida

eC

aran

goid

es u

iiTr

eval

ly, J

apan

ese

Car

ango

ides

cae

rule

opin

natu

s 37

3379

02C

aran

gida

eC

aran

x bu

ccul

entu

sTr

eval

ly, B

lue-

spot

ted

Car

anx

bucc

ulen

tus

3733

7016

Car

angi

dae

Car

anx

igno

bilis

Trev

ally,

Gia

ntC

aran

x ig

nobi

lis37

3370

27C

aran

gida

eC

aran

x lu

gubr

isTr

eval

ly, B

lack

Car

anx

lugu

bris

3733

7053

Car

angi

dae

Car

anx

papu

ensi

sTr

eval

ly, B

rass

yC

aran

x pa

puen

sis

3733

7064

Car

angi

dae

Car

anx

sexf

asci

atus

Trev

ally,

Big

-Eye

Car

anx

sexf

asci

atus

3733

7039

Car

angi

dae

Car

anx

tille

Tr

eval

ly, T

ille

Car

anx

tille

3733

7049

Car

angi

dae

Dec

apte

rus

mac

arel

lus

Sca

d, M

acke

rel

Dec

apte

rus

mac

arel

lus

3733

7055

Car

angi

dae

Dec

apte

rus

russ

elli

Trev

ally,

Rus

sell’s

Mac

kere

l Sca

dD

ecap

teru

s ru

ssel

li37

3370

23C

aran

gida

eE

lega

tis b

ipin

nula

taR

unne

r, R

ainb

owE

laga

tis b

ipin

nula

ta37

3370

29C

aran

gida

eG

nath

anod

on s

peci

osus

Trev

ally,

Gol

den

Gna

than

odon

spe

cios

us37

3370

12C

aran

gida

eM

egal

aspi

s co

rdyl

a S

cad,

Fin

nyM

egal

aspi

s co

rdyl

a37

3370

28C

aran

gida

eP

aras

trom

ateu

s ni

ger

Pom

fret,

Bla

ckP

aras

trom

ateu

s ni

ger

3733

7072

Car

angi

dae

Pse

udoc

aran

x de

ntex

Trev

ally,

Ski

pjac

k/S

ilver

Pse

udoc

aran

x de

ntex

3733

7062

Car

angi

dae

Pse

udoc

aran

x w

right

iS

and

Trev

ally

Pse

udoc

aran

x w

right

i37

3370

63C

aran

gida

eP

seud

ocar

anx

wrig

hti

Trev

ally,

San

dP

seud

ocar

anx

wrig

hti

3733

7063

Car

angi

dae

Psu

edoc

aran

x de

ntex

Ski

pjac

k Tr

eval

ly

Pse

udoc

aran

x de

ntex

3733

7062

Car

angi

dae

Sco

mbe

roid

es c

omm

erso

nnia

nus

Que

enfis

h, T

alan

gS

com

bero

ides

com

mer

sonn

ianu

s37

3370

32C

aran

gida

eS

com

bero

ides

spp

Que

enfis

hes,

gen

eral

Sco

mbe

roid

es s

pp37

3379

05C

aran

gida

eS

elar

boo

psTr

eval

ly, O

xeye

Sca

dS

elar

boo

ps37

3370

08C

aran

gida

eS

elar

cru

men

thal

mop

sS

cad,

Pur

se E

yed

Sel

ar c

rum

enop

htha

lmus

3733

7009

Car

angi

dae

Sel

aroi

des

lept

olep

isTr

eval

ly, S

moo

th-ta

iled

Sel

aroi

des

lept

olep

is37

3370

15C

aran

gida

eS

erio

la d

umer

iliG

reat

er a

mbe

rjack

S

erio

la d

umer

ili37

3370

25

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Fisheries Research Report [Western Australia] No. 212, 2010 61

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Car

angi

dae

Ser

iola

hip

pos

Sam

son

Fish

/Sea

Kin

gfis

hS

erio

la h

ippo

s37

3370

07C

aran

gida

eS

erio

la la

land

iK

ingf

ish,

Yel

low

tail

Ser

iola

lala

ndi

3733

7006

Car

angi

dae

Ser

iolin

a ni

grof

asci

ata

Kin

gfis

h, B

lack

-Ban

ded

Ser

iolin

a ni

grof

asci

ata

3733

7014

Car

angi

dae

Ser

iolin

a ni

grof

asci

ata

Trev

ally,

Bla

ck-b

ande

d K

ingf

ish

Ser

iolin

a ni

grof

asci

ata

3733

7014

Car

angi

dae

Trac

hino

tus

baill

oni

Dar

t, B

lack

-Spo

tted

Trac

hino

tus

baill

onii

3733

7074

Car

angi

dae

Trac

hino

tus

botla

Dar

t, C

omm

onTr

achi

notu

s bo

tla37

3370

66C

aran

gida

eTr

achi

notu

s sp

pD

art,

gene

ral

Trac

hino

tus

spp

3733

7904

Car

angi

dae

Trac

huru

s no

vaez

elan

diae

Trev

ally,

Yel

low

tail

Trac

huru

s no

vaez

elan

diae

3733

7003

Car

angi

dae

Ulu

a m

enta

lisTr

eval

ly, C

ale

Cal

eU

lua

men

talis

3733

7048

Car

char

hini

dae

Car

char

hini

dae

Sha

rk, W

hale

rs, g

ener

alC

arch

arhi

nida

e37

0180

00C

arch

arhi

nida

eC

arch

arhi

nus

ambl

yrhy

ncho

s S

hark

, Gre

y R

eef

Car

char

hinu

s am

blyr

hync

hos

3701

8030

Car

char

hini

dae

Car

char

hinu

s br

achy

urus

Sha

rk, B

ronz

e W

hale

rC

arch

arhi

nus

brac

hyur

us37

0180

01C

arch

arhi

nida

eC

arch

arhi

nus

leuc

asS

hark

, Bul

lC

arch

arhi

nus

leuc

as37

0180

21C

arch

arhi

nida

eC

arch

arhi

nus

mel

anop

teru

sS

hark

, Bla

ck-ti

p R

eef

Car

char

hinu

s m

elan

opte

rus

3701

8036

Car

char

hini

dae

Car

char

hinu

s ob

scur

us

Sha

rk, D

usky

Car

char

hinu

s ob

scur

us37

0180

03C

arch

arhi

nida

eC

arch

arhi

nus

plum

beus

Sha

rk, T

hick

skin

/San

dbar

Car

char

hinu

s pl

umbe

us37

0180

07C

arch

arhi

nida

eC

arch

arhi

nus

taur

us

Sha

rk, G

rey

Nur

seC

arch

aria

s ta

urus

3700

8001

Car

char

hini

dae

Car

char

hinu

s til

ston

iS

hark

, Bla

ck T

ip W

hale

rC

arch

arhi

nus

tilst

oni

3701

8014

Car

char

hini

dae

Gal

eoce

rdo

cuvi

erS

hark

, Tig

erG

aleo

cerd

o cu

vier

3701

8022

Car

char

hini

dae

Hem

igal

eus

mic

rost

oma

Sha

rk, W

ease

lH

emig

aleu

s au

stra

liens

is37

0180

20C

arch

arhi

nida

eLo

xodo

n m

acro

rhin

usS

litey

e sh

ark

Loxo

don

mac

rorh

inus

3701

8005

Car

char

hini

dae

Neg

aprio

n ac

utid

ens

Sha

rk, L

emon

Neg

aprio

n ac

utid

ens

3701

8029

Car

char

hini

dae

Prio

nace

gla

uca

Sha

rk, B

lue

(Blu

e W

hale

r)P

riona

ce g

lauc

a37

0180

04C

arch

arhi

nida

eR

hizo

prio

nodo

n ac

utus

Sha

rk, M

ilkR

hizo

prio

nodo

n ac

utus

3701

8006

Car

char

hini

dae

Tria

enod

on o

besu

s S

hark

, Whi

tetip

Tria

enod

on o

besu

s37

0180

38C

entri

scid

aeC

entri

scus

scu

tatu

sR

azor

fish,

Gro

oved

Cen

trisc

us s

cuta

tus

3728

0001

Cen

tropo

mid

aeH

ypop

teru

s m

acro

pter

usS

piky

Bas

sH

ypop

teru

s m

acro

pter

us37

3100

07C

entro

pom

idae

Psa

mm

oper

ca w

aigi

ensi

sS

and

Bas

sP

sam

mop

erca

wai

gien

sis

3731

0001

Cep

olid

aeA

cant

hoce

pola

abb

revi

ata

Ban

dfis

hA

cant

hoce

pola

abb

revi

ata

3738

0002

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62 Fisheries Research Report [Western Australia] No. 212, 2010

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Cha

etod

ontid

aeC

haet

odon

ass

ariu

sB

utte

rflyf

ish,

Wes

tern

Cha

etod

on a

ssar

ius

3736

5012

Cha

etod

ontid

aeC

helm

on m

argi

nalis

Cor

alfis

h, M

argi

ned

Che

lmon

mar

gina

lis37

3650

07C

haet

odon

tidae

Cor

adio

n ch

ryso

zonu

sC

oral

fish,

Ora

nge-

band

edC

orad

ion

chry

sozo

nus

3736

5004

Cha

etod

ontid

aeP

arac

haet

odon

oce

llatu

sC

oral

fish,

Oce

llate

Par

acha

etod

on o

cella

tus

3736

5003

Che

iloda

ctyl

idae

Che

iloda

ctyl

us g

ibbo

sus

Mor

won

g, C

rest

edC

heilo

dact

ylus

gib

bosu

s37

3770

10C

heilo

dact

ylid

aeC

heilo

dact

ylus

rubr

olab

iatu

sM

orw

ong,

Red

-lipp

ed (R

ed-b

and)

Che

iloda

ctyl

us ru

brol

abia

tus

3737

7012

Che

iloda

ctyl

idae

Che

iloda

ctyl

us ru

brol

abia

tus

Red

-lipp

ed M

orw

ong

Che

iloda

ctyl

us ru

brol

abia

tus

3737

7012

Che

iloda

ctyl

idae

Dac

tylo

phor

a ni

gric

ans

Dus

ky M

orw

ong

Dac

tylo

phor

a ni

gric

ans

3737

7005

Che

iloda

ctyl

idae

Dac

tylo

phor

a ni

gric

ans

Mor

won

g, D

usky

Dac

tylo

phor

a ni

gric

ans

3737

7005

Che

iloda

ctyl

idae

Nem

adac

tylu

s do

ugla

sii

Mor

won

g, B

lue

Nem

adac

tylu

s do

ugla

sii

3737

7002

Che

iloda

ctyl

idae

Nem

adac

tylu

s va

lenc

ienn

esi

Que

en S

napp

er

Nem

adac

tylu

s va

lenc

ienn

esi

3737

7004

Che

iloda

ctyl

idae

Nem

adac

tylu

s va

lenc

ienn

esi

Sna

pper

, Que

en (B

lue

Mor

won

g)N

emad

acty

lus

vale

ncie

nnes

i37

3770

04C

hiro

cent

ridae

Chi

roce

ntru

s do

rab

Her

ring,

Wol

fC

hiro

cent

rus

dora

b37

0870

01C

hiro

nem

idae

Th

rept

eriu

s m

acul

osus

Silv

er S

pot

Thre

pter

ius

mac

ulos

us37

3750

02C

linid

aeC

ristic

eps

aust

ralis

Sou

ther

n C

rest

ed W

eedf

ish

Cris

ticep

s au

stra

lis37

4160

07C

linid

aeH

eter

oclin

us ro

seus

Wee

dfis

h, R

osy

Het

eroc

linus

rose

us37

4160

23C

linid

ae

Cris

ticep

s au

rant

iacu

sYe

llow

-cre

sted

Wee

dfis

hC

ristic

eps

aura

ntia

cus

3741

6017

Clu

peid

aeE

scua

lsoa

thor

acat

aS

ardi

ne, W

hite

Esc

ualo

sa th

orac

ata

3708

5021

Clu

peid

aeH

erkl

otsi

chth

ys b

lack

burn

iH

errin

g, B

lack

burn

’sH

erkl

otsi

chth

ys b

lack

burn

i37

0850

22C

lupe

idae

Her

klot

sich

thys

col

lette

iH

errin

g, C

olle

tte’s

Her

klot

sich

thys

col

lette

i37

0850

31C

lupe

idae

Her

klot

sich

thys

kon

ings

berg

eri

Her

ring,

Kon

ings

berg

er’s

Her

klot

sich

thys

kon

ings

berg

eri

3708

5007

Clu

peid

aeH

erkl

otsi

chth

ys li

ppa

Her

ring,

Aus

tralia

n S

potte

dH

erkl

otsi

chth

ys li

ppa

3708

5008

Clu

peid

aeH

erkl

otsi

chth

ys li

ppa

Her

ring;

Aus

tralia

n S

potte

dH

erkl

otsi

chth

ys li

ppa

3708

5008

Clu

peid

aeH

yper

loph

us v

ittat

usS

andy

spr

atH

yper

loph

us v

ittat

us37

0850

05C

lupe

idae

Nem

atal

osa

vlam

ingh

iH

errin

g, P

erth

Nem

atal

osa

vlam

ingh

i37

0850

17C

lupe

idae

Sar

dina

pilc

hard

us

Pilc

hard

(Mul

lie)

Sar

dina

pilc

hard

us37

0857

93C

lupe

idae

Sar

dine

lla g

ibbo

saS

ardi

ne, G

old-

strip

edS

ardi

nella

gib

bosa

3708

5013

Clu

peid

aeS

ardi

nella

lem

uru

Sar

dine

, Sca

ly M

acke

rel

Sar

dine

lla le

mur

u37

0850

18C

lupe

idae

Sar

dine

lla s

p.S

ardi

neC

lupe

idae

3708

5000

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Fisheries Research Report [Western Australia] No. 212, 2010 63

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Clu

peid

aeS

ardi

nops

neo

pilc

hard

usP

ilcha

rd (M

ullie

)S

ardi

nops

neo

pilc

hard

us37

0850

02C

lupe

idae

Spr

atel

loid

es ro

bust

usB

lue

spra

tS

prat

ello

ides

robu

stus

3708

5003

Clu

peid

aeS

prat

ello

ides

?S

prat

Clu

peid

ae37

0850

00C

lupe

idae

Sto

leph

orus

indi

cus

Anc

hovy

, Ind

ian

Sto

leph

orus

indi

cus

3708

6006

Con

grid

aeA

rioso

ma

spE

el, C

onge

rC

ongr

idae

3706

7000

Con

grid

aeC

onge

r cin

ereu

sE

el C

onge

r, B

lack

-edg

edC

onge

r cin

ereu

s37

0670

15C

ongr

idae

Con

ger v

erre

auxi

Eel

Con

ger,

Sou

ther

nC

onge

r ver

reau

xi37

0670

07C

ongr

idae

Gna

thop

his

habe

natu

sE

el, S

ilver

Con

ger

Gna

thop

his

long

icau

dus

3706

7002

Con

grid

aeU

roco

nger

lept

urus

Eel

, Lon

gtai

l Con

ger

Uro

cong

er le

ptur

us37

0670

21C

ongr

ogad

idae

Con

grog

adus

spi

nife

rE

el-b

lenn

y, S

piny

Con

grog

adus

spi

nife

r37

4110

01C

oryp

haen

idae

Cor

ypha

ena

hipp

urus

Dol

phin

fish,

Com

mon

/Mah

i Mah

iC

oryp

haen

a hi

ppur

us37

3380

01C

ynog

loss

idae

Cyn

oglo

ssus

mac

ulip

inni

sS

ole,

McC

ullo

ch’s

Ton

gue

Cyn

oglo

ssus

mac

ulip

inni

s37

4630

03C

ynog

loss

idae

Cyn

oglo

ssus

sp

Sol

e, T

ongu

eC

ynog

loss

idae

3746

3000

Cyn

oglo

ssid

aeP

arap

lagu

sia

bilin

eata

Sol

e, P

atte

rned

Ton

gue

Par

apla

gusi

a bi

linea

ta37

4630

01C

ynog

loss

idae

C

ynog

loss

us b

road

hurs

tiS

outh

ern

Tong

ue S

ole

Cyn

oglo

ssus

bro

adhu

rsti

3746

3015

Cyn

oglo

ssid

ae

Par

apla

gusi

a un

icol

orLe

mon

Ton

gue

Sol

eP

arap

lagu

sia

bilin

eata

3746

3001

Dac

tylo

pter

idae

Dac

tylo

ptae

nia

sp.

Sea

robi

nD

acty

lopt

erid

ae37

3080

00D

acty

lopt

erid

aeD

acty

lopt

ena

orie

ntal

isS

earo

bin,

Orie

ntal

Dac

tylo

pten

a or

ient

alis

3730

8004

Dac

tylo

pter

idae

Dac

tylo

pten

a pa

pilio

Sea

robi

n, S

harp

-ear

edD

acty

lopt

ena

papi

lio37

3080

01D

asya

tidae

Das

yatis

bre

vica

udat

aS

tingr

ay, S

moo

thD

asya

tis b

revi

caud

ata

3703

5001

Das

yatid

idae

Das

yatis

kuh

liiS

tingr

ay, B

lue-

spot

ted

Neo

trygo

n ku

hlii

3703

5004

Das

yatid

idae

Das

yatis

leyl

andi

Stin

gray

, Bro

wn

Ret

icul

ated

Neo

trygo

n le

ylan

di

3703

5013

Das

yatid

idae

Him

antu

ra s

p.S

tingr

ay, C

oach

whi

pH

iman

tura

tosh

i37

0350

22D

asya

tidid

aeH

iman

tura

tosh

iW

hipr

ay, B

lack

-spo

tted

Him

antu

ra to

shi

3703

5022

Das

yatid

idae

Him

antu

ra u

arna

kW

hipr

ay, R

etic

ulat

e/C

oach

whi

p R

ayH

iman

tura

uar

nak

3703

5003

Das

yatid

idae

Taen

iura

mey

eni

Stin

gray

, Bla

ck-b

lotc

hed

Taen

iura

mey

eni

3703

5017

Din

oles

tidae

Din

oles

tes

lew

ini

Pik

e, L

ong-

finne

dD

inol

este

s le

win

i37

3270

02D

iodo

ntid

aeA

llom

ycte

rus

pila

tus

Por

cupi

nefis

h, S

mal

l-Spi

ned

Allo

myc

teru

s pi

latu

s37

4690

02D

iodo

ntid

aeC

yclic

hthy

s or

bicu

laris

Por

cupi

nefis

h, S

hort-

spin

edC

yclic

hthy

s or

bicu

laris

3746

9007

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64 Fisheries Research Report [Western Australia] No. 212, 2010

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Dio

dont

idae

Dio

don

nict

hem

erus

Glo

be F

ish

Dio

don

nict

hem

erus

3746

9001

Dio

dont

idae

Trag

ulic

hthy

s ja

culif

erus

Por

cupi

nefis

h, L

ong-

spin

edTr

agul

icht

hys

jacu

lifer

us37

4690

04D

iodo

ntid

ae

Allo

myc

teru

s pi

latu

sS

mal

l-spi

ned

Por

cupi

ne F

ish

Allo

myc

teru

s pi

latu

s37

4690

02D

iodo

ntid

ae

Dio

don

nict

hem

erus

Glo

befis

hD

iodo

n ni

cthe

mer

us37

4690

01E

chen

eida

eR

emor

a re

mor

aR

emor

aR

emor

a re

mor

a37

3360

02E

chen

eida

e E

chen

eis

nauc

rate

sLi

ve s

hark

suck

erE

chen

eis

nauc

rate

s37

3360

01E

chen

eida

e R

emor

a re

mor

aC

omm

on R

emor

aR

emor

a re

mor

a37

3360

02E

lopi

dae

Elo

ps m

achn

ata

Her

ring,

Gia

ntE

lops

mac

hnat

a37

0530

03E

lopi

dae

Meg

alop

s cy

prin

oide

sH

errin

g, O

xeye

Meg

alop

s cy

prin

oide

s37

0540

01E

ngau

lidid

aeE

ngra

ulis

aus

tralis

Anc

hovy

, Aus

tralia

nE

ngra

ulis

aus

tralis

3708

6001

Eng

raul

idae

Eng

raul

is a

ustra

lisau

stra

lian

anch

ovy

Eng

raul

is a

ustra

lis37

0860

01E

ngra

ulid

aeS

tole

phor

us in

sula

risA

ncho

vy, H

arde

nber

g’s

Sto

leph

orus

spp

37

0869

02E

ngra

ulid

aeTh

ryss

a ha

milt

onii

Anc

hovy

, Ham

ilton

’sTh

ryss

a ha

milt

onii

3708

6005

Eng

raul

idae

Thry

ssa

setir

ostri

sA

ncho

vy, L

ongj

awTh

ryss

a se

tiros

tris

3708

6004

Eng

raul

idae

Thry

ssa

spin

iden

sA

ncho

vy, B

enga

lTh

ryss

a sp

p 37

0869

03E

nopl

osid

ae

Eno

plos

us a

rmat

usO

ld W

ifeE

nopl

osus

arm

atus

3736

6001

Eph

ippi

dae

Dre

pane

pun

ctat

aS

ickl

efis

hD

repa

ne p

unct

ata

3736

2005

Eph

ippi

dae

Pla

tax

bata

vian

usB

atfis

h, H

ump-

head

edP

lata

x ba

tavi

anus

3736

2002

Eph

ippi

dae

Pla

tax

teira

Bat

fish,

Tei

raP

lata

x te

ira37

3620

04E

phip

pida

eZa

bidi

us n

ovem

acul

eatu

sB

atfis

h, S

hort-

finne

dZa

bidi

us n

ovem

acul

eatu

s37

3620

03E

xoce

tidae

Par

exoc

oetu

s m

ento

Flyi

ngfis

h, A

frica

nP

arex

ocoe

tus

men

to37

2330

03E

xoco

etid

aeC

heilo

pogo

n w

estra

liens

is(m

s)Fl

ying

Fis

h, W

est A

ustra

lian

Exo

coet

idae

3723

3000

Fist

ular

iidae

Fist

ular

ia c

omm

erso

nii

Flut

emou

th, S

moo

thFi

stul

aria

com

mer

soni

i37

2780

01Fi

stul

ariid

aeFi

stul

ariid

aeFl

utem

outh

s, g

ener

alFi

stul

aria

spp

.37

2789

00G

empy

lidae

Thyr

site

s at

unB

arra

cout

aTh

yrsi

tes

atun

3743

9001

Ger

reid

aeG

erre

s oy

ena

Silv

erbi

ddy,

Com

mon

Ger

res

oyen

a37

3490

04G

erre

idae

Ger

res

subf

asci

atus

Roa

ch/B

ande

d S

ilver

Bid

dyG

erre

s su

bfas

ciat

us37

3490

05G

erre

idae

Ger

res

subf

asci

atus

Silv

er B

iddy

, Ban

ded

[Roa

ch]

Ger

res

subf

asci

atus

3734

9005

Ger

reid

aeP

areq

uula

mel

bour

nens

isS

ilver

belly

, Sou

ther

nP

areq

uula

mel

bour

nens

is37

3490

01

Page 69: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 65

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Ger

reid

aeP

enta

prio

n lo

ngim

anus

Silv

er B

iddy

, Lon

g-fin

ned

Pen

tapr

ion

long

iman

us37

3490

02G

errid

aeG

erre

s fil

amen

tosu

sS

ilver

Bid

dy, W

hipf

inG

erre

s fil

amen

tosu

s37

3490

03G

errii

dae

Ger

res

subf

asci

atus

Roa

chG

erre

s su

bfas

ciat

us37

3490

05G

ingl

ymos

tom

atid

aeN

ebriu

s fe

rrug

ineu

sS

hark

, Taw

ny N

urse

Neb

rius

ferr

ugin

eus

3701

3010

Gire

llida

eG

irella

teph

raeo

psB

lack

fish,

Wes

tern

Roc

k (C

had)

Gire

lla te

phra

eops

3736

1017

Gire

llida

eG

irella

zeb

raZe

bra

Fish

Gire

lla z

ebra

3736

1008

Gla

ucos

omat

idae

Gla

ucos

oma

buer

geri

Per

ch, P

earl

(Dee

psea

Jew

fish)

Gla

ucos

oma

buer

geri

3732

0001

Gla

ucos

omat

idae

Gla

ucos

oma

hebr

aicu

mD

hufis

h, W

este

rn A

ustra

lian

Gla

ucos

oma

hebr

aicu

m37

3200

04G

lauc

osom

atid

aeG

lauc

osom

a m

agni

ficum

Thre

adfin

, Pea

rl-pe

rch

Gla

ucos

oma

mag

nific

um37

3200

02G

lauc

osom

atid

ae

Gla

ucos

oma

burg

eri

Dee

psea

jew

fish

Gla

ucos

oma

buer

geri

3732

0001

Gob

iidae

Am

blye

leot

ris s

p.S

hrim

pgob

yG

obiid

ae37

4280

00G

obiid

aeC

rypt

ocen

trus

pavo

nino

ides

Shr

impg

oby,

Yel

low

-bar

red

Gob

iidae

3742

8000

Gob

iidae

Opl

opom

us c

anin

oide

sG

oby,

Rob

ust

Opl

opom

us c

anin

oide

s37

4282

03G

obiid

aeP

arac

haet

uric

hthy

s po

lyne

ma

Gob

y, T

aile

yeP

arac

haet

uric

hthy

s po

lyne

ma

3742

8211

Gob

iidae

Prio

lepi

s se

mid

olia

tus

Gob

y, H

ead-

barr

edP

riole

pis

sem

idol

iata

3742

8011

Gob

iidae

Yong

eich

thys

neb

ulos

usG

oby,

Sha

dow

Yong

eich

thys

neb

ulos

us37

4280

01G

onia

ster

idae

Ste

llast

er in

spin

osus

seas

tar

Ste

llast

er in

spin

osus

2512

2027

Gon

oryn

chid

aeG

onor

ynch

us g

reyi

Sal

mon

, Bea

ked

Gon

oryn

chus

gre

yi37

1410

01G

ymnu

ridae

Gym

nura

aus

tralis

Ray

, Rat

-taile

d/B

utte

rfly

Gym

nura

aus

tralis

3703

7001

Hae

mul

idae

Dia

gram

ma

labi

osum

Sw

eetli

ps, P

aint

edD

iagr

amm

a la

bios

um37

3500

03H

aem

ulid

aeD

iagr

amm

a pi

ctum

S

wee

tlips

, Pai

nted

Dia

gram

ma

labi

osum

3735

0003

Hae

mul

idae

Gym

nocr

aniu

s gr

ando

culis

S

eabr

eam

, Rob

inso

n’s

Gym

nocr

aniu

s gr

ando

culis

3735

1005

Hae

mul

idae

Ple

ctor

hinc

hus

flavo

mac

ulat

usS

wee

tlips

, Gol

d-S

potte

dP

lect

orhi

nchu

s fla

vom

acul

atus

3735

0007

Hae

mul

idae

Ple

ctor

hinc

hus

mul

tivitt

atum

Sw

eetli

ps, M

any-

Line

dP

lect

orhi

nchu

s m

ultiv

ittat

us

3735

0018

Hae

mul

idae

Pom

adas

ys k

aaka

nJa

velin

fish,

Spo

tted

Pom

adas

ys k

aaka

n37

3500

11H

aem

ulid

aeP

omad

asys

mac

ulat

usJa

velin

fish,

Blo

tche

dP

omad

asys

mac

ulat

us37

3500

02H

aem

ulid

aeP

omad

asys

spp

Jave

linfis

hes,

gen

eral

Pom

adas

ys s

pp37

3509

02H

arpo

dont

idae

Sau

rida

undo

squa

mis

Liza

rdfis

h, L

arge

-sca

led

Grin

ner

Sau

rida

undo

squa

mis

3711

8001

Har

podo

ntid

aeS

ynod

us d

erm

atog

enys

Liza

rdfis

h, B

ande

dS

ynod

us d

erm

atog

enys

3711

8003

Page 70: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

66 Fisheries Research Report [Western Australia] No. 212, 2010

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Har

podo

ntid

aeS

ynod

us h

oshi

nons

isLi

zard

fish,

Bla

ck-s

houl

dere

dS

ynod

us h

oshi

noni

s37

1180

10H

arpo

dont

idae

Trac

hino

ceph

alus

myo

psLi

zard

fish,

Pai

nted

Grin

ner

Trac

hino

ceph

alus

myo

ps37

1180

02H

emira

mph

idae

Arr

ham

phus

scl

erol

epis

Gar

fish,

Snu

b-N

osed

Arr

ham

phus

scl

erol

epis

3723

4006

Hem

iram

phid

aeE

ulep

torh

amph

us v

iridi

sG

arfis

h, L

ong-

finne

dE

ulep

torh

amph

us v

iridi

s37

2340

15H

emira

mph

idae

Hem

iram

phid

aeG

arfis

hes

Hem

iram

phid

ae37

2340

00H

emira

mph

idae

Hem

iram

phus

robu

stus

Gar

fish,

Rob

ust

Hem

iram

phus

robu

stus

3723

4013

Hem

iram

phid

aeH

ypor

ham

phus

affi

nis

Gar

fish,

Tro

pica

lH

ypor

ham

phus

affi

nis

3723

4016

Hem

iram

phid

aeH

ypor

ham

phus

mel

anoc

hir

Gar

fish,

Sou

ther

n S

eaH

ypor

ham

phus

mel

anoc

hir

3723

4001

Hem

iscy

llida

eC

hilo

scyl

lium

pun

ctat

umC

atsh

ark,

Bro

wn-

band

edC

hilo

scyl

lium

pun

ctat

um37

0130

08H

eter

odon

tidae

Het

erod

ontu

s po

rtusj

acks

oni

Sha

rk, P

ort J

acks

onH

eter

odon

tus

portu

sjac

kson

i37

0070

01H

exan

chid

aeN

otor

ynch

us c

eped

ianu

sB

road

nose

Sev

engi

llN

otor

ynch

us c

eped

ianu

s37

0050

02H

ypin

idae

Hyp

nos

mon

opte

rygi

umN

umbf

ish

Hyp

nos

mon

opte

rygi

us37

0280

01H

ypin

idae

Nar

cine

wes

tralie

nsis

Num

bfis

h, B

ande

dLa

goce

phal

us s

cele

ratu

s37

4670

07H

ypni

dae

Hyp

nos

mon

opte

rygi

umN

umbf

ish

Nar

cine

wes

tralie

nsis

3702

8005

Istio

phor

idae

Istio

phor

us p

laty

pter

usS

ailfi

sh, I

ndo-

Pac

ific

Istio

phor

us p

laty

pter

us37

4440

05Is

tioph

orid

aeM

akai

ra in

dica

Mar

lin, B

lack

Mak

aira

indi

ca37

4440

06Is

tioph

orid

aeM

akai

ra m

azar

aM

arlin

, Blu

e (In

do-P

acifi

c)M

akai

ra n

igric

ans

3744

4003

Istio

phor

idae

Tetra

ptur

us a

udax

Mar

lin, S

tripe

dTe

trapt

urus

aud

ax37

4440

02K

ypho

sida

eG

irella

teph

raeo

psB

lack

fish,

Wes

tern

Roc

k (C

had)

Gire

lla te

phra

eops

3736

1017

Kyp

hosi

dae

Gire

lla z

ebra

Ze

bra

Fish

Gire

lla z

ebra

3736

1008

Kyp

hosi

dae

Kyp

hosu

s co

rnel

iiB

uffa

lo B

ream

, Wes

tern

Kyp

hosu

s co

rnel

ii37

3610

12K

ypho

sida

eK

ypho

sus

sydn

eyan

usB

uffa

lo B

ream

, Com

mon

(Silv

er

Dru

mm

er)

Kyp

hosu

s sy

dney

anus

3736

1001

Kyp

hosi

dae

Mic

roca

nthu

s st

rigat

usFo

otba

ller/S

tripe

yM

icro

cant

hus

strig

atus

3736

1005

Kyp

hosi

dae

Sco

rpis

aeq

uipi

nnis

S

wee

p, S

eaS

corp

is a

equi

pinn

is37

3610

04K

ypho

sida

eTi

lodo

n se

xfas

ciat

umM

oonl

ight

erTi

lodo

n se

xfas

ciat

us

3736

1003

Labr

idae

Ach

oero

dus

goul

dii

Gro

per,

Wes

tern

Blu

eA

choe

rodu

s go

uldi

i37

3840

02La

brid

aeA

ustro

labr

us m

acul

atus

Wra

sse,

Bla

ck-s

potte

dA

ustro

labr

us m

acul

atus

3738

4025

Labr

idae

Bod

ianu

s bi

lunu

latu

sP

igfis

h, S

addl

ebac

kB

odia

nus

bilu

nula

tus

3738

4054

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Fisheries Research Report [Western Australia] No. 212, 2010 67

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Labr

idae

Bod

ianu

s fre

nchi

iFo

xfis

h, W

este

rnB

odia

nus

frenc

hii

3738

4057

Labr

idae

Bod

ianu

s sp

p.P

igfis

hes,

gen

eral

Bod

ianu

s sp

p.37

3849

04La

brid

aeB

odia

nus

vulp

inus

Pig

fish,

Bla

cksp

otB

odia

nus

vulp

inus

3738

4001

Labr

idae

Che

ilinu

s un

dula

tus

Wra

sse,

Hum

p H

eade

d M

aori

Che

ilinu

s un

dula

tus

3738

4038

Labr

idae

Cho

erod

on c

aute

rom

aTu

skfis

h, B

lue

Spo

tted

Cho

erod

on c

aute

rom

a37

3840

05La

brid

aeC

hoer

odon

cep

halo

tes

Tusk

fish,

Pur

ple

Cho

erod

on c

epha

lote

s37

3840

04La

brid

aeC

hoer

odon

cya

nodu

sTu

skfis

h, B

lue

Cho

erod

on c

yano

dus

3738

4072

Labr

idae

Cho

erod

on ru

besc

ens

Gro

per,

Bal

dchi

nC

hoer

odon

rube

scen

s37

3840

39La

brid

aeC

hoer

odon

sch

oenl

eini

iTu

skfis

h, B

lack

spot

(Blu

e B

one)

Cho

erod

on s

choe

nlei

nii

3738

4010

Labr

idae

Cho

erod

on v

enus

tus

Tusk

fish,

Ven

usC

hoer

odon

ven

ustu

s37

3840

42La

brid

aeC

hoer

odon

vitt

aTu

skfis

h, R

edst

ripe

Cho

erod

on v

itta

3738

4006

Labr

idae

Com

mer

cial

gro

up: t

uskf

ish

Tusk

fish,

gen

eral

Cho

erod

on s

pp37

3849

02La

brid

aeC

oris

aur

icul

aris

Wes

tern

Kin

g W

rass

eC

oris

aur

icul

aris

3738

4088

Labr

idae

Cor

is a

uric

ular

isW

rass

e, W

este

rn K

ing

Cor

is a

uric

ular

is37

3840

88La

brid

aeH

alic

hoer

es b

row

nfie

ldi

Wra

sse,

Bro

wnf

ield

’sH

alic

hoer

es b

row

nfie

ldi

3738

4108

Labr

idae

Labr

idae

Wra

sse

37

3840

00La

brid

aeN

otol

abru

s pa

rilus

W

rass

e, B

row

n-S

potte

dN

otol

abru

s pa

rilus

3738

4022

Labr

idae

Opt

halm

olep

is li

neol

atus

Wra

sse,

Mao

riO

phth

alm

olep

is li

neol

atus

37

3840

40La

brid

aeP

ictil

abru

s la

ticla

vius

Wra

sse,

Sen

ator

Pic

tilab

rus

latic

lavi

us37

3840

20La

brid

aeP

seud

olab

rus

bise

rialis

Wra

sse,

Red

Ban

ded

Pse

udol

abru

s bi

seria

lis37

3841

49La

brid

aeP

seud

olab

rus

paril

usW

rass

e, B

row

n-S

potte

dN

otol

abru

s pa

rilus

3738

4022

Labr

idae

Pte

rago

gus

enne

acan

thus

Wra

sse,

Fla

gfin

Pte

rago

gus

enne

acan

thus

3738

4153

Labr

idae

Sue

zich

thys

ayl

ingi

Wra

sse,

Crim

son

Cle

aner

Sue

zich

thys

ayl

ingi

3738

4159

Labr

idae

Sue

zich

thys

cya

nola

emus

Wra

sse,

Blu

e-th

roat

ed ra

inbo

wS

uezi

chth

ys c

yano

laem

us37

3841

61La

brid

aeS

uezi

chth

ys s

oela

eW

rass

e, S

oela

Sue

zich

thys

soe

lae

3738

4026

Labr

idae

Thal

asso

ma

luna

reW

rass

e, M

oon

Thal

asso

ma

luna

re37

3841

67La

brid

aeTh

alas

som

a pu

rpur

eum

Wra

sse,

Red

& G

reen

Thal

asso

ma

purp

ureu

m37

3841

69La

brid

aeTh

alas

som

a se

ptem

fasc

iata

Wra

sse,

Sev

en-b

ande

dTh

alas

som

a se

ptem

fasc

iatu

m37

3841

71La

gani

dae

Per

onel

la le

sueu

risa

nd d

olla

rP

eron

ella

lesu

euri

2526

6005

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68 Fisheries Research Report [Western Australia] No. 212, 2010

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Lam

nida

eC

arch

arod

on c

arch

aria

sW

hite

Sha

rkC

arch

arod

on c

arch

aria

s37

0100

03La

mni

dae

Isur

us o

xyrin

chus

Sha

rk, S

hortf

in M

ako

Isur

us o

xyrin

chus

3701

0001

Latid

aeP

sam

mop

erca

wai

gien

sis

Bas

s, S

and

Psa

mm

oper

ca w

aigi

ensi

s37

3100

01Le

iogn

athi

dae

Gaz

za m

inut

aP

onyf

ish,

Too

thpo

nyG

azza

min

uta

3734

1007

Leio

gnat

hida

eG

erre

s fil

amen

tosu

sS

ilver

Bid

dy, W

hipf

inG

erre

s fil

amen

tosu

s37

3490

03Le

iogn

athi

dae

Leio

gnat

hus

bind

usP

onyf

ish,

Ora

ngef

inP

hoto

pect

oral

is b

indu

s37

3410

02Le

iogn

athi

dae

Leio

gnat

hus

deco

rus

Pon

yfis

h, Y

ello

w-fi

nned

Nuc

hequ

ula

gerr

eoid

es

3734

1016

Leio

gnat

hida

eLe

iogn

athu

s eq

uulu

sP

onyf

ish,

Com

mon

Leio

gnat

hus

equu

lus

3734

1014

Leio

gnat

hida

eLe

iogn

athu

s fa

scia

tus

Pon

yfis

h, S

tripe

d/ba

nded

Leio

gnat

hus

fasc

iatu

s37

3410

09Le

iogn

athi

dae

Leio

gnat

hus

leuc

iscu

sP

onyf

ish,

Whi

pfin

Leio

gnat

hus

leuc

iscu

s37

3410

05Le

iogn

athi

dae

Leio

gnat

hus

loni

spin

isP

onyf

ish,

Sm

ithur

st’s

Leio

gnat

hus

long

ispi

nis

3734

1004

Leio

gnat

hida

eLe

iogn

athu

s m

oret

onen

sis

Pon

yfis

h, Z

ig-Z

agLe

iogn

athu

s m

oret

onie

nsis

3734

1012

Leio

gnat

hida

eLe

iogn

athu

s sm

ithur

sti

Pon

yfis

h, S

mith

urst

’sLe

iogn

athu

s lo

ngis

pini

s37

3410

04Le

iogn

athi

dae

Par

equu

la m

elbo

urne

nsis

Sou

ther

n si

lver

belly

Par

equu

la m

elbo

urne

nsis

3734

9001

Leio

gnat

hida

eS

ecut

or in

sidi

ator

Pon

yfis

h, P

ugno

seS

ecut

or in

sidi

ator

3734

1006

Leio

gnat

hida

eS

ecut

or ru

coni

sP

onyf

ish,

Pug

nose

Sec

utor

ruco

nius

3734

1015

Leth

rinda

eLe

thrin

us la

ticau

dis

Em

pero

r, B

lue-

Line

d (B

lack

Sna

pper

)Le

thrin

us la

ticau

dis

3735

1006

Leth

rinda

eLe

thrin

us s

p.E

mpe

ror,

Blu

e lin

ed

Leth

rinus

sp.

3735

1001

Leth

rinid

aeG

ymno

cran

ius

elon

gatu

sS

eabr

eam

, Sw

allo

wta

ilG

ymno

cran

ius

elon

gatu

s37

3510

10Le

thrin

idae

Leth

rinid

aeE

mpe

rors

, gen

eral

Leth

rinid

ae37

3510

00Le

thrin

idae

Leth

rinus

atk

inso

niE

mpe

ror,

Yello

w-T

aile

dLe

thrin

us a

tkin

soni

3735

1013

Leth

rinid

aeLe

thrin

us g

eniv

ittat

usE

mpe

ror,

Thre

adfin

Leth

rinus

gen

ivitt

atus

3735

1002

Leth

rinid

aeLe

thrin

us h

utch

insi

(MS

)E

mpe

ror,

Blu

e-S

potte

dLe

thrin

us s

p.37

3510

01Le

thrin

idae

Leth

rinus

latic

audi

sE

mpe

ror,

Gra

ss/B

lack

Sna

pper

Leth

rinus

latic

audi

s37

3510

06Le

thrin

idae

Leth

rinus

lent

jan

Empe

ror,

Pink

-Ear

ed (P

urpl

e-H

eade

d)Le

thrin

us le

ntja

n37

3510

07Le

thrin

idae

Leth

rinus

min

iatu

sE

mpe

ror,

Sw

eetli

p (R

ed T

hroa

t)Le

thrin

us m

inia

tus

3735

1009

Leth

rinid

aeLe

thrin

us n

ebul

osus

Em

pero

r, S

pang

led

Leth

rinus

neb

ulos

us37

3510

08Le

thrin

idae

Leth

rinus

oliv

aceu

s E

mpe

ror,

Long

-Nos

edLe

thrin

us o

livac

eus

3735

1004

Leth

rinid

aeLe

thrin

us p

unct

ulat

usE

mpe

ror,

Blu

e-sp

otte

dLe

thrin

us s

p.37

3510

01

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Fisheries Research Report [Western Australia] No. 212, 2010 69

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Leth

rinid

aeLe

thrin

us ru

brio

perc

ulat

usE

mpe

ror,

Spo

tche

ekLe

thrin

us ru

brio

perc

ulat

us37

3510

12Le

thrin

idae

Leth

rinus

sp.

3E

mpe

ror (

unna

med

)Le

thrin

us s

pp37

3519

02Le

thrin

idae

Leth

rinus

var

iega

tus

Em

pero

r, Va

riega

ted

Leth

rinus

var

iega

tus

3735

1014

Lutja

nida

eA

prio

n vi

resc

ens

Jobf

ish,

Gre

enA

prio

n vi

resc

ens

3734

6027

Lutja

nida

eC

aesi

osco

rpis

thea

gene

sS

wee

p, F

usili

erC

aesi

osco

rpis

thea

gene

s37

3111

35Lu

tjani

dae

Ete

lis c

arbu

ncul

us

Sna

pper

, Rub

yE

telis

car

bunc

ulus

3734

6014

Lutja

nida

eLu

tjanu

s ar

gent

imac

ulat

usM

angr

ove

Jack

Lutja

nus

arge

ntim

acul

atus

3734

6015

Lutja

nida

eLu

tjanu

s bo

har

Bas

s, R

edLu

tjanu

s bo

har

3734

6029

Lutja

nida

eLu

tjanu

s ca

rpon

otat

usS

eape

rch,

Stri

pey

(Spa

nish

Fla

g)Lu

tjanu

s ca

rpon

otat

us37

3460

11Lu

tjani

dae

Lutja

nus

eryt

hrop

teru

sS

eape

rch,

Crim

son

Lutja

nus

eryt

hrop

teru

s37

3460

05Lu

tjani

dae

Lutja

nus

fulv

iflam

ma

Sea

perc

h, B

lack

spot

Lutja

nus

fulv

iflam

ma

3734

6034

Lutja

nida

eLu

tjanu

s jo

hnii

Bre

am, F

inge

rmar

kLu

tjanu

s jo

hnii

3734

6030

Lutja

nida

eLu

tjanu

s le

mni

scat

usSe

aper

ch, D

ark-

Taile

d (M

aroo

n Pe

rch)

Lutja

nus

lem

nisc

atus

3734

6010

Lutja

nida

eLu

tjanu

s lu

tjanu

sS

eape

rch,

Big

eye

Lutja

nus

lutja

nus

3734

6008

Lutja

nida

eLu

tjanu

s m

alab

aric

usS

eape

rch,

Sad

dle-

taile

d (S

carle

t)Lu

tjanu

s m

alab

aric

us37

3460

07Lu

tjani

dae

Lutja

nus

quin

quel

inea

tus

Sea

perc

h, F

ive-

Line

dLu

tjanu

s qu

inqu

elin

eatu

s37

3460

06Lu

tjani

dae

Lutja

nus

rivul

atus

S

eape

rch,

Bla

ck-S

pot

Lutja

nus

rivul

atus

3734

6016

Lutja

nida

eLu

tjanu

s ru

folin

eatu

s S

eape

rch,

Yel

low

-Lin

edLu

tjanu

s ru

folin

eatu

s37

3460

40Lu

tjani

dae

Lutja

nus

russ

elli

Sea

perc

h, M

oses

Lutja

nus

russ

ellii

3734

6065

Lutja

nida

eLu

tjanu

s se

bae

Red

Em

pero

rLu

tjanu

s se

bae

3734

6004

Lutja

nida

eLu

tjanu

s vi

ttaB

row

nstri

pe s

napp

erLu

tjanu

s vi

tta37

3460

03Lu

tjani

dae

Pris

tipom

oide

s fil

amen

tosu

s Jo

bfis

h, R

osy

(Ros

y S

napp

er)

Pris

tipom

oide

s fil

amen

tosu

s37

3460

32Lu

tjani

dae

Pris

tipom

oide

s m

ultid

ens

Sna

pper

, Gol

dban

dP

ristip

omoi

des

mul

tiden

s37

3460

02Lu

tjani

dae

Pris

tipom

oide

s ty

pus

Sha

rpto

oth

jobf

ish

Pris

tipom

oide

s ty

pus

3734

6019

Lutja

nida

eS

ymph

orus

nem

atop

horu

sC

hina

man

Fis

hS

ymph

orus

nem

atop

horu

s37

3460

17M

egal

opid

aeM

egal

ops

cypr

inoi

des

Her

ring,

Oxe

ye /

Tarp

onM

egal

ops

cypr

inoi

des

3705

4001

Men

idae

Men

e m

acul

ata

Moo

nfis

hM

ene

mac

ulat

a37

3400

01M

icro

cant

hida

eM

icro

cant

hus

strig

atus

Stri

pey

Mic

roca

nthu

s st

rigat

us37

3610

05M

icro

cant

hida

eN

eaty

pus

obliq

uus

Foot

balle

r Sw

eep

Nea

typu

s ob

liquu

s37

3610

02

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70 Fisheries Research Report [Western Australia] No. 212, 2010

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Mon

acan

thid

aeA

cant

halu

tere

s sp

ilom

elan

urus

Brid

led

Leat

herja

cket

Aca

ntha

lute

res

spilo

mel

anur

us37

4650

43M

onac

anth

idae

Alu

teru

s sc

riptu

sLe

athe

rjack

et, S

crib

bled

Alu

teru

s sc

riptu

s37

4650

45M

onac

anth

idae

Ana

cant

hus

barb

atus

Leat

herja

cket

, Bea

rded

Ana

cant

hus

barb

atus

3746

5010

Mon

acan

thid

aeB

rach

alut

eres

jack

soni

anus

Pyg

my

Leat

herja

cket

Bra

chal

uter

es ja

ckso

nian

us37

4650

25M

onac

anth

idae

Cha

etod

erm

is p

enic

illig

era

Leat

herja

cket

, Pric

kly

Cha

etod

erm

is p

enic

illig

era

3746

5013

Mon

acan

thid

aeC

olur

odon

tis p

axm

ani

Leat

herja

cket

, Pax

man

’sC

olur

odon

tis p

axm

ani

3746

5054

Mon

acan

thid

aeE

ubal

icht

hys

caer

uleo

gutta

tus

Leat

herja

cket

, Blu

e-sp

otte

dE

ubal

icht

hys

caer

uleo

gutta

tus

3746

5018

Mon

acan

thid

aeM

eusc

heni

a fla

volin

eata

Leat

herja

cket

, Yel

low

Stri

ped

Meu

sche

nia

flavo

linea

ta37

4650

35M

onac

anth

idae

Meu

sche

nia

freyc

inet

iLe

athe

rjack

et, S

ix-S

pine

dM

eusc

heni

a fre

ycin

eti

3746

5036

Mon

acan

thid

aeM

eusc

heni

a ga

liiLe

athe

rjack

et, B

lue-

lined

Meu

sche

nia

galii

3746

5040

Mon

acan

thid

aeM

eusc

heni

a hi

ppoc

repi

sLe

athe

rjack

et, H

orse

shoe

Meu

sche

nia

hipp

ocre

pis

3746

5004

Mon

acan

thid

aeM

eusc

heni

a ve

nust

aS

tars

and

Stri

pes

Leat

herja

cket

Meu

sche

nia

venu

sta

3746

5060

Mon

acan

thid

aeM

onac

anth

us c

hine

nsis

Leat

herja

cket

, Fan

-bel

lied

Mon

acan

thus

chi

nens

is37

4650

09M

onac

anth

idae

Nel

uset

ta a

yrau

diLe

athe

rjack

et, C

hina

man

Nel

uset

ta a

yrau

di37

4650

06M

onac

anth

idae

Par

amon

acan

thus

cho

iroce

phal

usLe

athe

rjack

et, H

air-

finne

dP

aram

onac

anth

us c

hoiro

ceph

alus

3746

5064

Mon

acan

thid

aeP

enic

ipel

ta v

ittig

erTo

othb

rush

Lea

ther

jack

etA

cant

halu

tere

s vi

ttige

r37

4650

02M

onac

anth

idae

Pse

udom

onac

anth

us p

eron

iLe

athe

rjack

et, P

ot-b

ellie

dP

seud

omon

acan

thus

per

oni

3746

5020

Mon

acan

thid

aeS

cobi

nich

thys

gra

nula

tus

Leat

herja

cket

, Rou

ghS

cobi

nich

thys

gra

nula

tus

3746

5007

Mon

acan

thid

aeS

teph

anol

epis

sp.

Leat

herja

cket

, Bro

wn

Blo

tche

dS

teph

anol

epis

sp.

3746

5077

Mon

acan

thid

ae

Eub

alic

hthy

s m

osai

cus

Mos

aic

Leat

herja

cket

Eub

alic

hthy

s m

osai

cus

3746

5003

Mon

ocan

thid

aeM

onoc

anth

idae

Leat

herja

cket

M

onoc

anth

idae

3746

5903

Mon

ocan

thid

aeP

enic

ipel

ta v

ittig

erTo

othb

rush

Lea

ther

jack

etA

cant

halu

tere

s vi

ttige

r37

4650

02M

onoc

anth

idae

Sco

bini

chth

ys g

ranu

latu

sR

ough

Lea

ther

jack

etS

cobi

nich

thys

gra

nula

tus

3746

5007

Mon

ocen

tridi

dae

Mon

ocen

tris

japo

nica

Pin

eapp

lefis

h, J

apan

ese

Mon

ocen

tris

japo

nica

3725

9002

Mug

ilida

eA

ldric

hetta

fors

teri

Mul

let,

Yello

w E

ye (P

ilch)

Ald

riche

tta fo

rste

ri37

3810

01M

ugili

dae

Mug

il ce

phal

usM

ulle

t, S

eaM

ugil

ceph

alus

3738

1002

Mug

ilida

eM

yxus

elo

ngat

usM

ulle

t, S

and

Myx

us e

long

atus

3738

1003

Mul

lidae

Par

upen

eus

barb

erin

oide

sG

oatfi

sh, S

war

thy-

head

edP

arup

eneu

s ba

rber

inoi

des

3735

5021

Mul

lidae

Par

upen

eus

chry

sopl

euro

nG

oatfi

sh, Y

ello

w-s

tripe

dP

arup

eneu

s ch

ryso

pleu

ron

3735

5016

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Fisheries Research Report [Western Australia] No. 212, 2010 71

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Mul

lidae

Par

upen

eus

sign

atus

Goa

tfish

, Bla

ck-S

potte

dP

arup

eneu

s sp

iluru

s37

3550

15M

ullid

aeP

arup

eneu

s sp

iluru

sG

oatfi

sh, B

lack

-spo

tP

arup

eneu

s sp

iluru

s37

3550

15M

ullid

aeU

pene

icht

hys

stot

tiG

oatfi

sh, S

tott’

sU

pene

icht

hys

stot

ti37

3550

30M

ullid

aeU

pene

icth

ys li

neat

usB

lue-

strip

ed G

oatfi

shU

pene

icht

hys

linea

tus

3735

5001

Mul

lidae

Upe

neus

asy

mm

etric

usG

oatfi

sh, A

sym

met

rical

Upe

neus

asy

mm

etric

us37

3550

10M

ullid

aeU

pene

us m

oluc

cens

isG

oatfi

sh, G

oldb

and

Upe

neus

mol

ucce

nsis

3735

5003

Mul

lidae

Upe

neus

sul

phur

eus

Goa

tfish

, Sun

rise

Upe

neus

sul

phur

eus

3735

5007

Mul

lidae

Upe

neus

sun

daic

usG

oatfi

sh, O

chre

-ban

ded

Upe

neus

sun

daic

us37

3550

13M

ullid

aeU

pene

us tr

agul

aG

oatfi

sh, B

ar-ta

iled

Upe

neus

trag

ula

3735

5014

Mul

lidae

Upe

nich

thys

vla

min

gii

Goa

tfish

, Blu

e-sp

otte

dU

pene

icht

hys

vlam

ingi

i37

3550

29M

urae

neso

cida

eM

urae

neso

x ba

gio

Eel

, Com

mon

Pik

eM

urae

neso

x ba

gio

3706

3003

Mur

aene

soci

dae

Oxy

cong

er le

ptog

nath

usE

el, S

hortt

ail P

ike

Oxy

cong

er le

ptog

nath

us37

0630

01M

urae

nida

eG

ymno

thor

ax c

ribro

risE

el, M

oray

Sie

ve-p

atte

rned

Gym

noth

orax

crib

roris

3706

0002

Mur

aeni

dae

Gym

noth

orax

pra

sinu

sE

el M

oray

, Gre

en (B

row

n R

eef E

el)

Gym

noth

orax

pra

sinu

s37

0600

06M

urae

nida

eG

ymno

thor

ax p

seud

othy

rsoi

deus

Eel

, Hig

hfin

Mor

ayG

ymno

thor

ax p

seud

othy

rsoi

deus

3706

0005

Mur

aeni

dae

Gym

noth

orax

spp

.E

els,

Gen

eral

Gym

noth

orax

spp

.37

0609

00M

urae

nida

eG

ymno

thor

ax u

ndul

atus

Eel

, Mot

tled

Mor

ayG

ymno

thor

ax u

ndul

atus

3706

0053

Mur

aeni

dae

Gym

noth

orax

woo

dwar

diE

el, W

oodw

ard’

s R

eef

Gym

noth

orax

woo

dwar

di37

0600

54M

urae

nida

eM

urae

nida

eE

el

Mur

aeni

dae

3706

0000

Myl

ioba

tidae

Aet

obat

us n

arin

ari

Eag

le R

ay, S

potte

dA

etob

atus

nar

inar

i37

0390

03M

ylio

batid

aeA

etom

ylae

us m

acul

atus

Ray

, Orn

ate

Eag

leA

etom

ylae

us v

espe

rtilio

3703

9005

Myl

ioba

tidae

Aet

omyl

aeus

nic

hofii

Eag

le R

ay, B

ande

dA

etom

ylae

us n

icho

fii37

0390

02M

ylob

atid

aeA

etob

atus

nar

inar

iR

ay, W

hite

-spo

tted

Eag

leA

etob

atus

nar

inar

i37

0390

03N

emip

terid

aeN

emip

teru

s ce

lebi

cus

Thre

adfin

Bre

am, 5

-line

dN

emip

teru

s ce

lebi

cus

3734

7004

Myl

ioba

tidae

Myl

ioba

tis a

ustra

lisR

ay, E

agle

Myl

ioba

tis a

ustra

lis37

0390

01N

emip

terid

aeN

emip

teru

s fu

rcos

usTh

read

fin B

ream

, Ros

yN

emip

teru

s fu

rcos

us37

3470

05N

emip

terid

aeN

emip

teru

s pe

roni

iTh

read

fin B

ream

, Not

ched

Nem

ipte

rus

pero

nii

3734

7003

Nem

ipte

ridae

Nem

ipte

rus

sp.

Thre

adfin

Bre

amN

emip

teru

s sp

p.40

3479

01N

emip

terid

aeP

enta

podu

s po

rosu

sM

onoc

le B

ream

, Fal

se W

hipt

ail

Pen

tapo

dus

poro

sus

3734

7007

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72 Fisheries Research Report [Western Australia] No. 212, 2010

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Nem

ipte

ridae

Pen

tapo

dus

vitta

Mon

ocle

Bre

am, W

este

rn B

utte

rfish

Pen

tapo

dus

vitta

3734

7022

Nem

ipte

ridae

Sca

eviu

s m

ilii

Mon

ocle

Bre

am, C

oral

Sca

eviu

s m

ilii

3734

7020

Nem

ipte

ridae

Sco

lops

is ta

enio

pter

usM

onoc

le B

ream

, Red

spot

Sco

lops

is ta

enio

pter

a37

3470

08N

eose

bast

idae

Neo

seba

stes

pan

dus

Gur

nard

Per

chN

eose

bast

es p

andu

s37

2870

03N

eose

bast

idae

Neo

seba

stes

spp

.G

urna

rd P

erch

Neo

seba

stid

ae37

2870

00N

eose

bast

idae

M

axill

icos

ta s

cabr

icep

sLi

ttle

scor

pion

fish

Max

illic

osta

sca

bric

eps

3728

7007

Net

tast

omat

idae

Sau

renc

hely

s sp

.E

el, D

uckb

illN

etta

stom

atid

ae37

0650

00O

daci

dae

Hal

etta

sem

ifasc

iata

Whi

ting,

Blu

e W

eed

Hal

etta

sem

ifasc

iata

3738

5009

Oda

cida

eO

dax

acro

ptilu

sC

ale,

Rai

nbow

Oda

x ac

ropt

ilus

3738

5010

Odo

ntas

pidi

dae

Car

char

ias

taur

usG

rey

Nur

se S

hark

Car

char

ias

taur

us37

0080

01O

dont

aspi

dida

eC

arch

ariu

s ta

urus

Sha

rk, G

rey

Nur

seC

arch

aria

s ta

urus

3700

8001

Odo

ntod

acty

lidae

Odo

ntod

acty

lus

latir

ostri

sm

antis

shr

imp

Odo

ntod

acty

lus

latir

ostri

s28

0380

03O

gcoc

epha

lidae

Hal

ieut

aea

indi

caG

oose

fish

Ogc

ocep

halid

ae37

2120

00O

phid

iidae

Oph

idio

n m

urae

nole

pis

Eel

, Bla

ck-e

dged

Cus

kO

phid

ion

mur

aeno

lepi

s37

2280

06O

phid

iidae

G

enyp

teru

s tig

erin

usLi

ng, R

ock

Gen

ypte

rus

tiger

inus

3722

8008

Opi

stog

nath

idae

Opi

stog

nath

idae

Jaw

fish

Opi

stog

nath

idae

3738

8000

Opi

stog

nath

idae

Opi

stog

nath

us la

titab

undu

sJa

wfis

h, B

lotc

hed

Opi

stog

nath

us la

titab

undu

s37

3880

01O

pleg

anth

idae

Opl

egna

thus

woo

dwar

diK

nife

Jaw

Opl

egna

thus

woo

dwar

di37

3690

02O

rect

olob

idae

Euc

ross

orhi

nus

dasy

pogo

nW

obbe

gong

, Tas

selle

dE

ucro

ssor

hinu

s da

sypo

gon

3701

3011

Ore

ctol

obid

aeO

rect

olob

us h

alei

Wes

tern

Wob

bego

ngs

Ore

ctol

obus

hal

ei37

0130

20O

rect

olob

idae

Ore

ctol

obus

sp.

Wob

bego

ngs/

Cat

shar

ks, g

ener

alO

rect

olob

idae

3701

3900

Ore

ctol

obid

aeO

rect

olob

us s

pW

obbe

gong

, Wes

tern

Ore

ctol

obid

ae37

0139

00O

rect

olob

idae

Ore

ctol

obus

sp.

Wob

bego

ngs/

Cat

shar

ks, g

ener

alO

rect

olob

idae

3701

3900

Ore

ctol

obid

aeO

rect

olob

us s

pp.

Wob

bego

ng s

hark

O

rect

olob

idae

3701

3900

Ore

ctol

obid

aeS

utor

ectu

s te

ntac

ulat

usC

obbl

er W

obbe

gong

Sut

orec

tus

tent

acul

atus

3701

3012

Ost

raci

idae

Ano

ploc

apro

s le

ntic

ular

isW

hite

-bar

red

Box

fish

Ano

ploc

apro

s le

ntic

ular

is37

4660

10O

stra

ciid

aeA

nopl

ocap

ros

robu

stus

Box

fish,

Wes

tern

Sm

ooth

Ano

ploc

apro

s am

ygda

loid

es

3746

6015

Ost

raci

idae

Ara

cana

orn

ata

Orn

ate

Cow

fish

Ara

cana

orn

ata

3746

6001

Ost

raci

idae

Cap

richt

hys

gym

nura

Rig

id B

oxfis

hC

apric

hthy

s gy

mnu

ra37

4660

14

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Fisheries Research Report [Western Australia] No. 212, 2010 73

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Ost

raci

idae

Lact

oria

cor

nuta

Cow

fish,

Lon

g-ho

rned

Lact

oria

cor

nuta

3746

6004

Ost

raci

idae

Lact

oria

dia

phan

aC

owfis

h, R

ound

belly

Lact

oria

dia

phan

a37

4660

07O

stra

ciid

aeO

stra

ciid

aeB

oxfis

h/C

owfis

hO

stra

ciid

ae37

4660

00O

stra

ciid

aeO

stra

cion

nas

usB

oxfis

h, S

mal

l-nos

edR

hync

host

raci

on n

asus

3746

6005

Ost

raci

idae

Tetro

som

us re

ipub

licae

Turr

etfis

h, S

mal

l spi

ned

Tetro

som

us re

ipub

licae

3746

6008

Peg

asid

aeE

uryp

egas

us d

raco

nis

Sea

mot

h, S

hort

Eur

ypeg

asus

dra

coni

s37

3090

01P

egas

idae

Peg

asus

vol

itans

Sea

mot

h, S

lend

erP

egas

us v

olita

ns37

3090

02P

egas

idae

P

egas

us la

ncife

rS

culp

ture

d S

eam

oth

Peg

asus

lanc

ifer

3730

9003

Pem

pher

idae

Par

apria

cant

hus

rans

onne

tiB

ulls

eye,

Sle

nder

Par

apria

cant

hus

rans

onne

ti37

3570

04P

emph

erid

aeP

emph

eris

sp.

Bul

lsey

e P

emph

erid

ae37

3570

00P

emph

erid

ae

Par

apria

cant

hus

elon

gatu

sS

lend

er B

ulls

eye

Par

apria

cant

hus

elon

gatu

s37

3570

02P

emph

erid

idae

Par

apria

cant

hus

rans

onne

tiB

ulls

eye,

Sle

nder

Par

apria

cant

hus

rans

onne

ti37

3570

04P

emph

erid

idae

Pem

pher

is k

lunz

inge

riB

ulls

eye,

Rou

ghP

emph

eris

klu

nzin

geri

3735

7003

Pem

pher

idid

aeP

emph

eris

yps

ilych

nus

Bul

lsey

e, L

amp-

light

Pem

pher

is y

psily

chnu

s37

3570

07P

enta

cero

tidae

P

araz

ancl

istiu

s hu

tchi

nsi

Sho

rt B

oarfi

shP

araz

ancl

istiu

s hu

tchi

nsi

3736

7010

Pen

tace

rotid

ae

Par

istio

pter

us la

bios

usG

iant

Boa

rfish

Par

istio

pter

us la

bios

us37

3670

02P

ingu

iped

idae

Par

aper

cis

dipl

ospi

lus

Gru

bfis

h, D

oubl

e-sp

otP

arap

erci

s di

plos

pilu

s37

3900

14P

ingu

iped

idae

Par

aper

cis

mul

tipla

cata

Gru

bfis

h, R

ed-B

ande

d P

arap

erci

s m

ultip

licat

a37

3900

16P

ingu

iped

idae

Par

aper

cis

nebu

losa

Gru

bfis

h, R

ed-b

arre

dP

arap

erci

s ne

bulo

sa37

3900

05P

inni

dae

Pin

na b

icol

orra

zor c

lam

Pin

na b

icol

or23

2450

01P

laty

ceph

alid

aeC

ymba

ceph

alus

bos

sche

iFl

athe

ad, B

ossc

h’s

Cym

bace

phal

us b

ossc

hei

3729

6031

Pla

tyce

phal

idae

Cym

bace

phal

us n

emat

opht

halm

usFl

athe

ad, F

ringe

-eye

dC

ymba

ceph

alus

nem

atop

htha

lmus

3729

6023

Pla

tyce

phal

idae

Ineg

ocia

japo

nica

Flat

head

, Rus

tyIn

egoc

ia ja

poni

ca37

2960

29P

laty

ceph

alid

aeLe

vipr

ora

inop

sFl

athe

ad, L

ong-

head

edLe

vipr

ora

inop

s37

2960

05P

laty

ceph

alid

aeO

nigo

cia

spin

osa

Flat

head

, Spi

nyO

nigo

cia

spin

osa

3729

6022

Pla

tyce

phal

idae

Pla

tyce

phal

idae

Flat

head

s, g

ener

alP

laty

ceph

alid

ae37

2960

00P

laty

ceph

alid

aeP

laty

ceph

alus

are

nariu

sFl

athe

ad, N

orth

ern

San

dP

laty

ceph

alus

are

nariu

s37

2960

21P

laty

ceph

alid

aeP

laty

ceph

alus

aur

imac

ulat

usFl

athe

ad S

p A

Pla

tyce

phal

us a

urim

acul

atus

3729

6035

Pla

tyce

phal

idae

Pla

tyce

phal

us e

ndra

chte

nsis

Flat

head

, Bar

-taile

dP

laty

ceph

alus

end

rach

tens

is37

2960

20

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74 Fisheries Research Report [Western Australia] No. 212, 2010

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Pla

tyce

phal

idae

Pla

tyce

phal

us in

dicu

sFl

athe

ad, I

ndia

nP

laty

ceph

alus

indi

cus

3729

6033

Pla

tyce

phal

idae

Pla

tyce

phal

us in

ops

Long

-hea

ded

Flat

head

Levi

pror

a in

ops

3729

6005

Pla

tyce

phal

idae

Pla

tyce

phal

us lo

ngis

pini

sFl

athe

ad, L

ong-

spin

edP

laty

ceph

alus

long

ispi

nis

3729

6036

Pla

tyce

phal

idae

Pla

tyce

phal

us m

arm

orat

usFl

athe

ad, M

arbl

edP

laty

ceph

alus

mar

mor

atus

3729

6038

Pla

tyce

phal

idae

Pla

tyce

phal

us s

pecu

lato

rFl

athe

ad, S

outh

ern

Blu

e-S

potte

dP

laty

ceph

alus

spe

cula

tor

3729

6037

Pla

tyce

phal

idae

Rog

adiu

s pa

trici

aeFl

athe

ad, B

lack

-ban

ded

Rog

adiu

s pa

trici

ae37

2960

08P

laty

ceph

alid

aeS

orso

gona

tube

rcul

ata

Flat

head

, Hea

rt-he

aded

Sor

sogo

na tu

berc

ulat

a37

2960

30P

laty

ceph

alid

aeS

uggr

undu

s ja

poni

caFl

athe

ad, R

usty

In

egoc

ia ja

poni

ca

3729

6029

Pla

tyce

phal

idae

Sug

grun

dus

mac

raca

nthu

sFl

athe

ad, L

arge

-spi

ned

Sug

grun

dus

mac

raca

nthu

s37

2960

12P

laty

ceph

alid

aeTh

ysan

ophr

ys c

irron

asus

Flat

head

, Tas

sel-s

nout

edTh

ysan

ophr

ys c

irron

asa

3729

6045

Ple

siop

idae

Par

aple

siop

s m

elea

gris

Blu

e D

evil,

Wes

tern

Par

aple

siop

s m

elea

gris

3731

6009

Ple

urob

ranc

hida

eE

usel

enop

s lu

nice

psS

ide-

gille

d S

easl

ugP

leur

obra

nchi

dae

2439

5000

Ple

urob

ranc

hida

eP

leur

obra

nchu

s sp

.S

ide-

gille

d S

easl

ugP

leur

obra

nchi

dae

2439

5000

Ple

uron

ectid

aeA

mm

otre

tis e

long

atus

Elo

ngat

ed F

loun

der

Am

mot

retis

elo

ngat

us37

4610

07P

leur

onec

tidae

Psa

mm

odis

cus

ocel

latu

sFl

ound

er, F

reck

led

Psa

mm

odis

cus

ocel

latu

s37

4610

09P

loto

sida

eC

nido

glan

is m

acro

ceph

alus

Cob

bler

Cni

dogl

anis

mac

roce

phal

us37

1920

01P

loto

sida

eE

uris

thm

us le

ptur

usC

atfis

h, L

ong-

taile

dE

uris

thm

us le

ptur

us37

1920

04P

loto

sida

eE

uris

thm

us m

icro

ceps

Cat

fish,

Sm

all-h

eade

dE

uris

thm

us m

icro

ceps

3719

2007

Plo

tosi

dae

Eur

isth

mus

nud

icep

sC

atfis

h, N

aked

-hea

ded

Eur

isth

mus

nud

icep

s37

1920

03P

loto

sida

eP

arap

loto

sus

albi

labr

isC

atfis

h, W

hite

-lipp

edP

arap

loto

sus

albi

labr

is37

1920

05P

loto

sida

eP

arap

loto

sus

sp.

Cat

fish,

Eel

-taile

dP

loto

sida

e37

1920

00P

loto

sida

eP

loto

sus

linea

tus

Cat

fish,

Stri

ped

Plo

tosu

s lin

eatu

s37

1920

02P

olyn

emid

aeE

leut

hero

nem

a te

trada

ctyl

umTh

read

fin S

alm

on, G

iant

/blu

enos

eE

leut

hero

nem

a te

trada

ctyl

um37

3830

04P

olyn

emid

aeP

olyd

acty

lus

mul

tirad

iatu

sG

unth

er’s

Thr

eadf

inP

olyd

acty

lus

mul

tirad

iatu

s37

3830

02P

olyn

emid

aeP

olyd

acty

lus

nigr

ipin

nis

Thre

adfin

, Bla

ck-fi

nned

Pol

ydac

tylu

s ni

grip

inni

s37

3830

01P

olyn

emid

aeP

olyd

acty

lus

pleb

eius

Th

read

fin S

alm

on, N

orth

ern

Pol

ydac

tylu

s pl

ebei

us37

3830

09P

olyn

emid

aeP

olyn

emid

aeTh

read

fin S

alm

on -

Gen

eral

Pol

ynem

idae

3738

3000

Pol

yprio

nida

eP

olyp

rion

oxyg

enei

os

Hap

uku

Pol

yprio

n ox

ygen

eios

3731

1006

Pom

acan

thid

aeC

haet

odon

topl

us d

ubou

layi

Ang

elfis

h, S

crib

bled

Cha

etod

onto

plus

dub

oula

yi37

3650

09

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Fisheries Research Report [Western Australia] No. 212, 2010 75

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Pom

acan

thid

aeP

omac

anth

us s

emic

ircul

atus

Ang

lefis

h, B

lue

Pom

acan

thus

sem

icirc

ulat

us37

3650

80P

omac

entri

dae

Abu

defd

uf v

aigi

ensi

sS

erge

ant,

Maj

orA

bude

fduf

vai

gien

sis

3737

2013

Pom

acen

trida

eA

mph

iprio

n cl

arki

iA

nem

onef

ish,

Cla

rk’s

Am

phip

rion

clar

kii

3737

2007

Pom

acen

trida

eC

hrom

is fu

mea

Chr

omis

, Sm

okey

Chr

omis

fum

ea37

3720

04P

omac

entri

dae

Neo

pom

acen

trus

cyan

omos

Dam

sel,

Reg

alN

eopo

mac

entru

s cy

anom

os37

3720

89P

omac

entri

dae

Neo

pom

acen

trus

filam

ento

sus

Dam

sel,

Bro

wn

Dem

oise

lleN

eopo

mac

entru

s fil

amen

tosu

s37

3720

90P

omac

entri

dae

Par

ma

mcc

ullo

chi

Sca

lyfin

, Com

mon

Par

ma

mcc

ullo

chi

3737

2093

Pom

acen

trida

eP

arm

a m

ccul

loch

iS

caly

fin, C

omm

on (M

ccul

loug

hs)

Par

ma

mcc

ullo

chi

3737

2093

Pom

acen

trida

eP

arm

a m

uccu

lloch

iS

caly

fin

Par

ma

mcc

ullo

chi

3737

2093

Pom

acen

trida

eP

arm

a oc

cide

ntal

is

Sca

lyfin

, Wes

tern

Par

ma

occi

dent

alis

3737

2094

Pom

acen

trida

eP

omac

entri

dae

Dam

selfi

sh, G

ener

alP

omac

entri

dae

37 3

7200

0P

omac

entri

dae

Pris

totis

obt

usiro

stris

Dam

sel,

Gul

fP

risto

tis o

btus

irost

ris37

3720

01P

omat

omid

aeP

omat

omus

sal

tato

rTa

ilor

Pom

atom

us s

alta

trix

3733

4002

Pom

atom

idae

Pom

atom

us s

alta

trix

Tailo

rP

omat

omus

sal

tatri

x37

3340

02P

riaca

nthi

dae

Pria

cant

hus

mac

raca

nthu

sB

igey

e, R

edP

riaca

nthu

s m

acra

cant

hus

3732

6001

Pria

cant

hida

eP

riaca

nthu

s ta

yenu

sB

igey

e, T

hrea

dfin

Pria

cant

hus

taye

nus

3732

6003

Pris

tigas

terid

aeP

ello

na d

itche

laD

itche

lee

Pel

lona

ditc

hela

3708

5009

Pris

tioph

orid

ae

Pris

tioph

orus

cirr

atus

Com

mon

Saw

shar

kP

ristio

phor

us c

irrat

us37

0230

02P

ristio

phor

idae

P

ristio

phor

us c

irrat

usC

omm

on S

tinkf

ish

Pris

tioph

orus

cirr

atus

3702

3002

Pse

ttidi

dae

Pse

ttode

s er

umei

Hal

ibut

, Que

ensl

and

Pse

ttode

s er

umei

3745

7001

Pse

ttodi

dae

Pse

ttode

s er

umei

Flou

nder

, Que

ensl

and

Hal

ibut

Pse

ttode

s er

umei

3745

7001

Pse

udoc

hrom

idae

Con

grog

adus

sub

duce

nsE

el-B

lenn

y, C

arpe

tC

ongr

ogad

us s

ubdu

cens

3741

1004

Pse

udoc

hrom

idae

Cyp

ho p

urpu

rasc

ens

Dot

tyba

ck, O

bliq

ue-li

ned

Cyp

ho p

urpu

rasc

ens

3731

3013

Pse

udoc

hrom

idae

Labr

acin

us li

neat

usLi

ned

Dot

tyba

ck

Labr

acin

us li

neat

us37

3130

03P

seud

ochr

omid

aeP

seud

ochr

omis

qui

nque

dent

atus

Dot

tyba

ck, S

potte

dP

seud

ochr

omis

qui

nque

dent

atus

3731

3001

Psu

edoc

hrom

idae

Ass

icul

us p

unct

atus

Dot

tyba

ck, L

ongf

inA

ssic

ulus

pun

ctat

us37

3130

12R

achy

cent

ridae

Rac

hyce

ntro

n ca

nadu

mC

obia

Rac

hyce

ntro

n ca

nadu

m37

3350

01R

ays

Ord

er ra

jifor

mes

Ray

s, g

ener

alR

ajifo

rmes

3799

0030

Rhi

noba

tidae

Apt

ycho

trem

a vi

ncen

tiana

Sho

veln

ose

Ray

, Wes

tern

/Sou

ther

nA

ptyc

hotre

ma

vinc

entia

na37

0270

01

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76 Fisheries Research Report [Western Australia] No. 212, 2010

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Rhi

noba

tidae

Rhi

noba

tidae

Ray

s, S

hove

lnos

e, G

ener

alR

hino

batid

ae37

0270

00R

hino

batid

aeR

hino

bato

s ty

pus

Sho

veln

ose,

Gia

ntR

hino

bato

s ty

pus

3702

7010

Rhi

noba

tidae

Tryg

onor

hina

fasc

iata

Ray

, Sou

ther

n Fi

ddle

rTr

ygon

orrh

ina

fasc

iata

3702

7006

Rhy

ncho

batid

aeR

hync

hoba

tus

djid

dens

isS

hove

lnos

e R

ay, W

hite

spot

/Whi

te-

spot

ted

Gui

tar f

ish

Rhy

ncho

batu

s au

stra

liae

3702

6005

Sal

mon

idae

Onc

orhy

nchu

s m

ykis

sTr

out,

Rai

nbow

Onc

orhy

nchu

s m

ykis

s37

0940

03S

alm

onid

aeS

alm

o tru

ttaTr

out,

Bro

wn

Sal

mo

trutta

3709

4004

Sca

ridae

Lept

osca

rus

vaig

iens

isP

arro

tfish

, Blu

e-sp

otte

dLe

ptos

caru

s va

igie

nsis

3738

6009

Sca

ridae

Sca

rus

cf. g

hobb

an?

Par

rotfi

sh, B

lue-

barr

edS

caru

s gh

obba

n37

3860

01S

carid

aeS

caru

s gh

obba

nB

lue-

barr

ed P

arro

tfish

S

caru

s gh

obba

n37

3860

01S

carid

aeS

caru

s sp

.P

arro

tfish

Sca

ridae

3738

6000

Sca

riida

eC

alot

omus

spi

nide

nsP

arro

tfish

, Spi

nyto

oth

Cal

otom

us s

pini

dens

3738

6006

Sci

aeni

dae

Arg

yros

omus

hol

olep

idot

usM

ullo

way

Arg

yros

omus

hol

olep

idot

us37

3540

01S

ciae

nida

eA

rgyr

osom

us ja

poni

cus

Mul

low

ayA

rgyr

osom

us h

olol

epid

otus

3735

4001

Sci

aeni

dae

John

ius

born

eens

isC

roak

er, L

ittle

Jew

fish

John

ius

born

eens

is37

3540

07S

ciae

nida

eP

roto

nibe

a di

acan

thus

Je

w, B

lack

(Nor

ther

n M

ullo

way

)P

roto

nibe

a di

acan

thus

3735

4003

Sco

mbr

idae

Aca

ntho

cybi

um s

olan

dri

Wah

ooA

cant

hocy

bium

sol

andr

i37

4410

24S

com

brid

aeA

uxis

thaz

ard

Mac

kere

l, Fr

igat

eA

uxis

thaz

ard

3744

1009

Sco

mbr

idae

Eut

hynn

us a

ffini

sTu

na, M

acke

rel

Eut

hynn

us a

ffini

s37

4410

10S

com

brid

aeG

ram

mat

orcy

nus

bica

rinat

usM

acke

rel,

Sha

rkG

ram

mat

orcy

nus

bica

rinat

us37

4410

25S

com

brid

aeG

ymno

sard

a un

icol

or

Tuna

, Dog

toot

hG

ymno

sard

a un

icol

or37

4410

29S

com

brid

aeK

atsu

won

us p

elam

isTu

na, S

kipj

ack

Kat

suw

onus

pel

amis

3744

1003

Sco

mbr

idae

Ras

trelli

ger k

anag

urta

Mac

kere

l, Lo

ng-ja

wed

Ras

trelli

ger k

anag

urta

3744

1012

Sco

mbr

idae

Sar

da o

rient

alis

Bon

ito, O

rient

alS

arda

orie

ntal

is37

4410

06S

com

brid

aeS

com

ber a

ustra

lasi

cus

Mac

kere

l, B

lue

Sco

mbe

r aus

trala

sicu

s37

4410

01S

com

brid

aeS

com

bero

mor

us c

omm

erso

nM

acke

rel,

Nar

row

-Bar

red

Spa

nish

Sco

mbe

rom

orus

com

mer

son

3744

1007

Sco

mbr

idae

Sco

mbe

rom

orus

mun

roi

Mac

kere

l, A

ustra

lian

Spo

tted

Sco

mbe

rom

orus

mun

roi

3744

1015

Sco

mbr

idae

Sco

mbe

rom

orus

que

ensl

andi

cus

Mac

kere

l, Q

ueen

slan

d S

choo

l (D

og

Mac

kere

l)S

com

bero

mor

us q

ueen

slan

dicu

s37

4410

14

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Fisheries Research Report [Western Australia] No. 212, 2010 77

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Sco

mbr

idae

Sco

mbe

rom

orus

sem

ifasc

iatu

sM

acke

rel,

Bro

ad-B

arre

d S

pani

shS

com

bero

mor

us s

emifa

scia

tus

3744

1018

Sco

mbr

idae

Sco

mbr

idae

Bon

itos,

gen

eral

Sar

da s

pp37

4419

10S

com

brid

aeS

com

brid

aeM

acke

rels

, Gen

eral

Sco

mbr

idae

3744

1000

Sco

mbr

idae

Sco

mbr

idae

Tuna

s, G

ener

alS

com

brid

ae37

4410

00S

com

brid

aeTh

unnu

s al

alun

ga

Alb

acor

eTh

unnu

s al

alun

ga37

4410

05S

com

brid

aeTh

unnu

s al

baca

res

Tuna

, Yel

low

finTh

unnu

s al

baca

res

3744

1002

Sco

mbr

idae

Thun

nus

mac

coyi

iTu

na, S

outh

ern

Blu

efin

Thun

nus

mac

coyi

i37

4410

04S

com

brid

aeTh

unnu

s ob

esus

Tu

na, B

igey

eTh

unnu

s ob

esus

3744

1011

Sco

mbr

idae

Thun

nus

tong

gol

Tuna

, Nor

ther

n B

luef

in (L

ong-

Taile

d)Th

unnu

s to

nggo

l37

4410

13S

com

brid

aeTr

achu

rus

decl

ivis

M

acke

rel,

Sca

lyTr

achu

rus

decl

ivis

3733

7002

Sco

rpae

nida

eA

pist

ops

calo

undr

aS

corp

ionf

ish,

Sho

rt-fin

ned

Was

pfis

hA

pist

ops

calo

undr

a37

2870

33S

corp

aeni

dae

Api

stus

car

inat

usS

corp

ionf

ish,

Lon

g-fin

ned

Was

pA

pist

us c

arin

atus

3728

7011

Sco

rpae

nida

eC

otta

pist

us c

otto

ides

Sco

rpio

nfis

h, M

arbl

edC

otta

pist

us c

otto

ides

3728

7014

Sco

rpae

nida

eD

endr

ochi

rus

brac

hypt

erus

Sco

rpio

nfis

h, D

war

f Lio

nfis

hD

endr

ochi

rus

brac

hypt

erus

3728

7010

Sco

rpae

nida

eIn

imic

us d

idac

tylu

sS

tone

fish,

Dem

on s

tinge

rIn

imic

us d

idac

tylu

s37

2870

28S

corp

aeni

dae

Inim

icus

sin

ensi

sS

tinge

r, S

potte

dIn

imic

us s

inen

sis

3728

7020

Sco

rpae

nida

eM

inou

s ve

rsic

olor

Sco

rpio

nfis

h, P

lum

b-st

riped

Stin

gfis

hM

inou

s ve

rsic

olor

3728

7021

Sco

rpae

nida

eN

eose

bast

es p

andu

sG

urna

rd P

erch

Neo

seba

stes

pan

dus

3728

7003

Sco

rpae

nida

eP

arac

entro

pogo

n ve

spa

Sco

rpio

nfis

h, S

pot F

in W

aspf

ish/

Bul

lrout

Par

acen

tropo

gon

vesp

a37

2870

60

Sco

rpae

nida

eP

aras

corp

aena

mos

sam

bica

Sco

rpio

nfis

h, M

ozam

biqu

eP

aras

corp

aena

mos

sam

bica

3728

7062

Sco

rpae

nida

eP

aras

corp

aena

pic

taS

corp

ionf

ish,

Nor

ther

nP

aras

corp

aena

pic

ta37

2870

71S

corp

aeni

dae

Pte

rois

russ

elli

Sco

rpio

nfis

h, S

potle

ss F

irefis

hP

tero

is ru

ssel

ii 37

2870

12S

corp

aeni

dae

Pte

rois

vol

itans

Sco

rpio

nfis

h, R

ed F

irefis

hP

tero

is v

olita

ns37

2870

40S

corp

aeni

dae

Ric

hard

soni

chth

ys le

ucog

aste

rW

hite

-bel

lied

Rou

gefis

hR

icha

rdso

nich

thys

leuc

ogas

ter

3728

7036

Sco

rpae

nida

eS

corp

aena

sum

ptuo

saS

corp

ionf

ish,

Wes

tern

Red

Sco

rpae

na s

umpt

uosa

3728

7072

Sco

rpae

nida

eS

corp

aeni

dae

Sco

rpio

nfis

hes,

gen

eral

Sco

rpae

nida

e37

2879

00S

corp

aeni

dae

Sco

rpae

nops

is n

egle

cta

Sco

rpio

nfis

h, Y

ello

wfin

Sco

rpae

nops

is n

egle

cta

3728

7030

Sco

rpae

nida

eS

ynan

ceia

hor

rida

Sco

rpio

nfis

h, E

stua

rine

Sto

nefis

hS

ynan

ceia

hor

rida

3728

7049

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78 Fisheries Research Report [Western Australia] No. 212, 2010

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Sco

rpid

idae

Nea

typu

s ob

liquu

sS

wee

p, F

ootb

alle

rN

eaty

pus

obliq

uus

3736

1002

Sco

rpid

idae

Sco

rpis

aeq

uipi

nnis

Sw

eep,

Sea

Sco

rpis

aeq

uipi

nnis

3736

1004

Sco

rpid

idae

Sco

rpis

geo

rgia

nus

Sw

eep,

Ban

ded

Sco

rpis

geo

rgia

na37

3610

15S

corp

idid

aeTi

lodo

n se

xfas

ciat

umM

oonl

ight

erTi

lodo

n se

xfas

ciat

us

3736

1003

Scy

liorh

inid

aeA

telo

myc

teru

s m

acle

ayi

Cat

shar

k, M

arbl

edA

telo

myc

teru

s m

acle

ayi

3701

5028

Scy

liorh

inid

aeA

telo

myc

teru

s sp

Cat

shar

k, B

ande

dS

cylio

rhin

idae

3701

5000

Scy

liorh

inid

aeA

uloh

alae

luru

s la

bios

usC

atsh

ark,

Bla

ck-S

potte

dA

uloh

alae

luru

s la

bios

us37

0150

29S

cylio

rhin

idae

Hal

aelu

rus

boes

eman

iC

atsh

ark,

Spe

ckle

dH

alae

luru

s se

llus

3701

5004

Ser

rani

dae

Aca

nthi

stiu

s pa

rdal

otus

Leop

ard

Wirr

ah

Aca

nthi

stiu

s pa

rdal

otus

3731

1132

Ser

rani

dae

Aca

nthi

stiu

s se

rrat

usW

irrah

, Wes

tern

Aca

nthi

stiu

s se

rrat

us37

3110

35S

erra

nida

eC

aesi

oper

ca ra

sor

Per

ch, B

arbe

rC

aesi

oper

ca ra

sor

3731

1003

Ser

rani

dae

Cae

siop

erca

sp.

Red

line

Sea

perc

hC

aesi

oper

ca s

p.37

3111

82S

erra

nida

eC

aesi

osco

rpis

thea

gene

Fusi

lier S

wee

pC

aesi

osco

rpis

thea

gene

s37

3111

35S

erra

nida

eC

entro

geny

s va

igie

nsis

Roc

kcod

, Fal

se S

corp

ionf

ish

Cen

troge

nys

vaig

iens

is37

3110

30S

erra

nida

eC

epha

loph

lois

son

nera

tiR

ockc

od, T

omat

oC

epha

loph

olis

son

nera

ti37

3110

45S

erra

nida

eC

epha

loph

olis

boe

nak

Roc

kcod

, Bro

wn-

band

edC

epha

loph

olis

boe

nak

3731

1008

Ser

rani

dae

Cep

halo

phol

is c

yano

stig

ma

Roc

kcod

, Blu

e-S

potte

dC

epha

loph

olis

cya

nost

igm

a37

3111

36S

erra

nida

eC

epha

loph

olis

leop

ardu

sR

ockc

od, B

lue-

Line

dC

epha

loph

olis

leop

ardu

s37

3111

38S

erra

nida

eE

pine

phel

ides

arm

atus

Cod

, Bre

akse

a (B

lack

-ars

e C

od)

Epi

neph

elid

es a

rmat

us37

3111

00S

erra

nida

eE

pine

phel

us a

mbl

ycep

halu

sR

ockc

od, B

lunt

-hea

ded

Epi

neph

elus

am

blyc

epha

lus

3731

1015

Ser

rani

dae

Epi

neph

elus

are

olat

usR

ockc

od, Y

ello

w-s

potte

dE

pine

phel

us a

reol

atus

3731

1009

Ser

rani

dae

Epi

neph

elus

bilo

batu

sC

od, F

rost

back

Epi

neph

elus

bilo

batu

s37

3110

62S

erra

nida

eE

pine

phel

us c

oioi

des

Cod

, Est

uary

/Slim

y C

odE

pine

phel

us c

oioi

des

3731

1007

Ser

rani

dae

Epi

neph

elus

fasc

iatu

sC

od, B

lack

-Tip

ped

Epi

neph

elus

fasc

iatu

s37

3110

14S

erra

nida

eE

pine

phel

us fu

scog

utta

tus

Cod

, Flo

wer

yE

pine

phel

us fu

scog

utta

tus

3731

1021

Ser

rani

dae

Epi

neph

elus

lanc

eola

tus

Gro

per,

Que

ensl

and

Epi

neph

elus

lanc

eola

tus

3731

1061

Ser

rani

dae

Epi

neph

elus

mal

abar

icus

Gro

per,

Mal

abar

Epi

neph

elus

mal

abar

icus

3731

1150

Ser

rani

dae

Epi

neph

elus

mer

raC

od, H

oney

com

bE

pine

phel

us m

erra

3731

1063

Ser

rani

dae

Epi

neph

elus

min

iata

Cod

, Cor

alC

epha

loph

olis

min

iata

3731

1083

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Fisheries Research Report [Western Australia] No. 212, 2010 79

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Ser

rani

dae

Epi

neph

elus

mul

tinot

atus

Roc

kcod

, Ran

kin’

s (W

hite

-Blo

tche

d)E

pine

phel

us m

ultin

otat

us37

3110

10S

erra

nida

eE

pine

phel

us o

ctof

asci

atus

Eig

htba

r gro

uper

Epi

neph

elus

oct

ofas

ciat

us37

3111

52S

erra

nida

eE

pine

phel

us q

uoya

nus

Roc

kcod

, Lon

g-fin

ned

Epi

neph

elus

quo

yanu

s37

3110

40S

erra

nida

eE

pine

phel

us ri

vula

tus

Cod

, Chi

nam

anE

pine

phel

us ri

vula

tus

3731

1022

Ser

rani

dae

Epi

neph

elus

sep

tem

fasc

iatu

sR

ockc

od, G

rey-

band

edE

pine

phel

us s

epte

mfa

scia

tus

3731

1060

Ser

rani

dae

Epi

neph

elus

sex

fasc

iatu

sR

ockc

od, S

ix-b

ande

dE

pine

phel

us s

exfa

scia

tus

3731

1017

Ser

rani

dae

Epi

neph

elus

tauv

ina

Cod

, Ree

fE

pine

phel

us ta

uvin

a37

3110

57S

erra

nida

eE

pine

phel

us tu

kula

Cod

, Pot

ato

Epi

neph

elus

tuku

la37

3110

68S

erra

nida

eH

ypop

lect

rode

s ni

gror

ubru

mS

eape

rch,

Bla

ck-b

ande

dH

ypop

lect

rode

s ni

gror

uber

3731

1037

Ser

rani

dae

Oth

os d

ente

xH

arle

quin

Fis

hO

thos

den

tex

3731

1005

Ser

rani

dae

Ple

ctro

pom

us le

opar

dus

Trou

t, C

oral

Ple

ctro

pom

us le

opar

dus

3731

1078

Ser

rani

dae

Vario

la lo

uti

Trou

t, C

oron

atio

nVa

riola

lout

i37

3111

66S

icyo

niid

aeS

icyo

nia

lanc

ifera

Rid

geba

ck R

ock

Shr

imp

Sic

yoni

a la

ncife

ra28

7150

01S

igan

idae

Sig

anus

can

alic

ulat

usS

pine

foot

, Whi

te-s

potte

d/S

mud

gesp

otS

igan

us c

anal

icul

atus

3743

8004

Sig

anid

aeS

igan

us n

ebul

osus

Spi

nefo

ot, B

lack

Sig

anus

neb

ulos

us37

4380

01S

igan

idae

Sig

anus

spi

nus

Spi

nefo

ot, S

piny

Sig

anus

spi

nus

3743

8013

Sill

agin

idae

Sill

agin

odes

pun

ctat

aW

hitin

g, K

ing

Geo

rge

Sill

agin

odes

pun

ctat

a37

3300

01S

illag

inid

aeS

illag

o ba

ssen

sis

Whi

ting,

Sch

ool S

outh

ern

/ Silv

erS

illag

o ba

ssen

sis

3733

0002

Sill

agin

idae

Sill

ago

burr

usW

hitin

g, T

rum

pete

rS

illag

o bu

rrus

3733

0004

Sill

agin

idae

Sill

ago

cilia

taW

hitin

g, G

ener

al/S

and

Sill

ago

cilia

ta37

3300

10S

illag

inid

aeS

illag

o lu

tea

Whi

ting,

Mud

Sill

ago

lute

a37

3300

07S

illag

inid

aeS

illag

o m

acul

ata

Whi

ting,

Tru

mpe

ter

Sill

ago

mac

ulat

a37

3300

15S

illag

inid

aeS

illag

o ro

bust

aW

hitin

g, R

obus

tS

illag

o ro

bust

a37

3300

05S

illag

inid

aeS

illag

o sc

hom

burg

kii

Whi

ting,

Yel

low

-Fin

ned

(Wes

tern

San

d)S

illag

o sc

hom

burg

kii

3733

0012

Sill

agin

idae

Sill

ago

vitta

taW

hitin

g, W

este

rn S

choo

lS

illag

o vi

ttata

3733

0013

Sill

igan

idae

Sill

agin

odes

pun

ctat

usK

ing

Geo

rge

Whi

ting

Sill

agin

odes

pun

ctat

a37

3300

01S

illig

anid

aeS

illag

o ba

ssen

sis

Sch

ool W

hitin

gS

illag

o ba

ssen

sis

3733

0002

Sill

igan

idae

Sill

ago

mac

ulat

aTr

umpe

ter W

hitin

gS

illag

o m

acul

ata

3733

0015

Sill

igan

idae

Sill

ago

robu

sta

Sto

ut W

hitin

gS

illag

o ro

bust

a37

3300

05

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80 Fisheries Research Report [Western Australia] No. 212, 2010

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Sill

igan

idae

Sill

ago

vitta

taW

este

rn S

choo

l Whi

ting

Sill

ago

vitta

ta37

3300

13S

olei

dae

Aes

opia

cor

nuta

Sol

e, D

arkT

hick

-ray

edA

esop

ia c

ornu

ta37

4620

01S

olei

dae

Ase

ragg

odes

mel

anos

pilu

sS

ole,

Dar

k-S

potte

dA

sera

ggod

es m

elan

ospi

los

3746

2012

Sol

eida

eB

rach

irus

mue

lleri

Sol

e, T

ufte

dB

rach

irus

mue

lleri

3746

2007

Sol

eida

eP

arda

chiru

s pa

voni

nus

Sol

e, P

eaco

ckP

arda

chiru

s pa

voni

nus

3746

2009

Sol

eida

eP

hylli

chth

ys s

pS

ole

Sol

eida

e37

4620

00S

olei

dae

Sp

nov.

Pea

cock

Sol

eP

arda

chiru

s pa

voni

nus

3746

2009

Sol

eida

eS

trabo

zebr

ias

canc

ella

tus

Sol

e, H

arro

wed

Zebr

ias

canc

ella

tus

3746

2006

Sol

eida

eZe

bria

s ca

ncel

latu

sH

arro

wed

Sol

eZe

bria

s ca

ncel

latu

s37

4620

06S

olei

dae

Zebr

ias

crat

icul

aS

ole,

Wic

kerw

ork

Zebr

ias

crat

icul

us37

4620

03S

olei

dae

Zebr

ias

crat

icul

aW

icke

rwor

k S

ole

Zebr

ias

crat

icul

us37

4620

03S

parid

aeA

cant

hopa

grus

but

cher

iB

ream

, Bla

ckA

cant

hopa

grus

but

cher

i37

3530

03S

parid

aeA

cant

hopa

grus

latu

sB

ream

, Wes

tern

Yel

low

finA

cant

hopa

grus

latu

s37

3530

12S

parid

aeA

cant

hopa

grus

pal

mar

isBr

eam

, Nor

thw

est B

lack

/Pik

ey B

ream

Aca

ntho

pagr

us p

alm

aris

3735

3014

Spa

ridae

Arg

yrop

s sp

inife

rS

napp

er, L

ong-

spin

edA

rgyr

ops

spin

ifer

3735

3006

Spa

ridae

Pag

rus

aura

tus

Sna

pper

, Pin

kP

agru

s au

ratu

s37

3530

01S

parid

aeR

habd

osar

gus

sarb

aB

ream

, Silv

er (T

arw

hine

)R

habd

osar

gus

sarb

a37

3530

13S

parid

aeS

parid

aeS

napp

ers/

Bre

am, g

ener

alS

parid

ae37

353

000

Sph

yrae

nida

eS

phyr

aena

bar

racu

daG

reat

bar

racu

daS

phyr

aena

bar

racu

da37

3820

08S

phyr

aeni

dae

Sph

yrae

na je

lloP

ickh

andl

e ba

rrac

uda

Sph

yrae

na je

llo37

3820

04S

phyr

aeni

dae

Sph

yrae

na n

ovae

holla

ndia

eS

nook

Sph

yrae

na n

ovae

holla

ndia

e37

3820

02S

phyr

aeni

dae

Sph

yrae

na o

btus

ata

Sea

pike

, Stri

ped

Sph

yrae

na o

btus

ata

3738

2001

Sph

yrae

nida

eS

phyr

aena

qen

ie

Sea

pike

, Mili

tary

Sph

yrae

na q

enie

3738

2009

Sph

yrni

dae

Sph

yrna

sp.

Sha

rks,

Ham

mer

head

Sph

yrni

dae

3701

9000

Sph

yrni

dae

Sph

yrna

zyg

aena

S

hark

, Sm

ooth

Ham

mer

head

Sph

yrna

zyg

aena

3701

9004

Spo

ngiid

aeH

ippo

spon

gia

sp.

Spo

nge

Spo

ngiid

ae10

1140

00S

qilli

dae

Alim

opso

ides

sp.

M

antis

shr

imp

Squ

illid

ae28

0510

00Fa

mily

Spe

cies

Nam

eC

omm

onN

ame

CA

AB

Sci

nam

eC

AA

BC

ode

Squ

alid

aeFa

mily

Scy

liorh

inid

aeC

atsh

ark

(uns

peci

fied)

Scy

liorh

inid

ae37

0150

00

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Fisheries Research Report [Western Australia] No. 212, 2010 81

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Squ

alid

aeFa

mily

Squ

alid

aeD

ogfis

h (u

nspe

cifie

d)Fa

mily

Squ

alid

ae37

0200

00S

quat

inid

aeS

quat

ina

aust

ralis

Ang

el S

hark

Squ

atin

a au

stra

lis37

0240

01S

tego

stom

atid

aeS

tego

stom

a fa

scia

tum

Sha

rk, L

eopa

rdS

tego

stom

a fa

scia

tum

3701

3006

Syn

ance

iidae

Syn

ance

ia h

orrid

a S

tone

fish,

Est

uarin

eS

ynan

ceia

hor

rida

3728

7049

Syn

gnat

hida

eFi

licam

pus

tigris

Pip

efis

h, T

iger

Filic

ampu

s tig

ris37

2820

64S

yngn

athi

dae

Hal

icam

pus

gray

iP

ipef

ish,

Gra

y’s

Hal

icam

pus

gray

i37

2820

30S

yngn

athi

dae

Hal

iicht

hys

taen

ioph

orus

Pip

efis

h, R

ibbo

ned

Hal

iicht

hys

taen

ioph

orus

3728

2007

Syn

gnat

hida

eH

ippo

cam

pus

alat

usS

eaho

rse,

Win

ged

Hip

poca

mpu

s al

atus

3728

2118

Syn

gnat

hida

eH

ippo

cam

pus

angu

stus

Sea

hors

e, W

este

rn S

piny

Hip

poca

mpu

s an

gust

us37

2820

05S

yngn

athi

dae

Hip

poca

mpu

s bi

ocel

latu

sS

eaho

rse,

Fal

se-e

yed

Hip

poca

mpu

s bi

ocel

latu

s37

2821

15S

yngn

athi

dae

Hip

poca

mpu

s pl

anifr

ons

Sea

hors

e, F

lat-f

ace

Hip

poca

mpu

s pl

anifr

ons

3728

2078

Syn

gnat

hida

eH

ippo

cam

pus

zebr

aS

eaho

rse,

Zeb

raH

ippo

cam

pus

zebr

a37

2820

80S

yngn

athi

dae

Stig

mat

opor

a ar

gus

Pip

efis

h, S

potte

dS

tigm

atop

ora

argu

s37

2820

17S

yngn

athi

dae

Syn

gnat

hoid

es b

iacu

leat

usP

ipef

ish,

Alli

gato

rS

yngn

atho

ides

bia

cule

atus

3728

2100

Syn

gnat

hida

eTr

achy

rham

phus

bic

oarc

tatu

sP

ipef

ish,

Sho

rt-ta

iled

Trac

hyrh

amph

us b

icoa

rcta

tus

3728

2006

Syn

odon

tidae

Sau

rida

arge

ntea

Liza

rdfis

h, C

omm

onS

aurid

a ar

gent

ea37

1180

05S

ynod

ontid

aeS

aurid

a ne

bulo

saLi

zard

fish,

Clo

uded

Sau

rida

nebu

losa

3711

8027

Syn

odon

tidae

Sau

rida

sp.

Liza

rdfis

hS

ynod

ontid

ae37

1180

00S

ynod

ontid

aeS

aurid

a un

dosq

uam

isLi

zard

fish,

Lar

ge-s

cale

d G

rinne

rS

aurid

a un

dosq

uam

is37

1180

01S

ynod

ontid

aeS

ynod

us d

erm

atog

enys

Liza

rdfis

h, B

ande

dS

ynod

us d

erm

atog

enys

3711

8003

Syn

odon

tidae

Syn

odus

doa

kiLi

zard

fish,

Doa

ksS

ynod

us d

oaki

3711

8022

Syn

odon

tidae

Syn

odus

hos

hino

nsis

Liza

rdfis

h, B

lack

-sho

ulde

red

Syn

odus

hos

hino

nis

3711

8010

Syn

odon

tidae

Syn

odus

sag

eneu

sLi

zard

fish,

Net

ted

Syn

odus

sag

eneu

s37

1180

04S

ynod

ontid

aeS

ynod

us v

arie

gatu

sLi

zard

fish,

Var

iega

ted

Syn

odus

var

iega

tus

3711

8023

Syn

odon

tidae

Trac

hino

ceph

alus

myo

psLi

zard

fish,

Pai

nted

Grin

ner

Trac

hino

ceph

alus

myo

ps37

1180

02Te

mno

pleu

ridae

Tem

nopl

euru

s al

exan

dri

sea

urch

inTe

mno

pleu

rus

alex

andr

i25

2410

25Te

mno

pleu

ridae

Tem

nopl

euru

s m

icha

else

nise

a ur

chin

Tem

nopl

euru

s m

icha

else

ni25

2410

26Fa

mily

Spe

cies

Nam

eC

omm

onN

ame

CA

AB

Sci

nam

eC

AA

BC

ode

Tem

nopl

eurid

aeTe

mno

trem

a el

egan

sse

a ur

chin

Tem

notre

ma

eleg

ans

2524

1029

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82 Fisheries Research Report [Western Australia] No. 212, 2010

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Tera

pont

idae

Am

niat

aba

caud

avitt

ata

Trum

pete

r, Ye

llow

tail

Am

niat

aba

caud

avitt

ata

3732

1007

Tera

pont

idae

Pel

ates

qua

drili

neat

usTr

umpe

ter,

4-lin

edP

elat

es q

uadr

iline

atus

3732

1001

Tera

pont

idae

Pel

ates

sex

linea

tus

Trum

pete

r, S

tripe

d/S

ix-li

ned

Pel

ates

sex

linea

tus

3732

1005

Tera

pont

idae

Pel

sarti

a hu

mer

alis

Trum

pete

r, S

ea (S

torm

y P

erch

)P

elsa

rtia

hum

eral

is37

3210

21Te

rapo

ntid

aeTe

rapo

n ja

rbua

Per

ch, C

resc

ent

Tera

pon

jarb

ua37

3210

02Te

rapo

ntid

aeTe

rapo

n pu

taTr

umpe

ter,

Thre

e-lin

edTe

rapo

n pu

ta37

3210

06Te

rapo

ntid

aeTe

rapo

n th

erap

sTr

umpe

ter,

Ban

ded

Tera

pon

ther

aps

3732

1003

Tera

pont

idae

Tera

pont

idae

Trum

pete

rs/G

runt

ers,

Gen

eral

Tera

pont

idae

3732

1000

Tetra

odon

tidae

Anc

hiso

mus

mul

tistri

atus

Toad

fish,

Man

y-st

riped

Fero

xodo

n m

ultis

triat

us37

4670

10Te

traod

ontid

aeA

roth

ron

hisp

idus

Toad

fish,

Sta

rs a

nd S

tripe

sA

roth

ron

hisp

idus

3746

7033

Tetra

odon

tidae

Aro

thro

n st

ella

tus

Puf

ferfi

sh, S

tarr

yA

roth

ron

stel

latu

s37

4670

14Te

traod

ontid

aeC

anth

igas

ter c

oron

ata

Puf

fer,

Thre

ee-b

arre

dC

anth

igas

ter c

oron

ata

3746

7013

Tetra

odon

tidae

Can

thig

aste

r riv

ulat

aP

uffe

r, B

row

n-lin

edC

anth

igas

ter r

ivul

ata

3746

7018

Tetra

odon

tidae

Con

tusu

s br

evic

audu

sP

rickl

y To

adfis

hC

ontu

sus

brev

icau

dus

3746

7044

Tetra

odon

tidae

Con

tusu

s br

evic

audu

sTo

adfis

h, P

rickl

yC

ontu

sus

brev

icau

dus

3746

7044

Tetra

odon

tidae

Lago

ceph

alus

luna

risTo

adfis

h, R

ough

Gol

den

Lago

ceph

alus

luna

ris37

4670

12Te

traod

ontid

aeLa

goce

phal

us s

cele

ratu

sB

low

fish,

Nor

thw

est (

Silv

er T

oadf

ish)

Lago

ceph

alus

sce

lera

tus

3746

7007

Tetra

odon

tidae

Lago

ceph

alus

sce

lera

tus

Toad

fish,

Silv

er/N

W B

low

ieLa

goce

phal

us s

cele

ratu

s37

4670

07Te

traod

ontid

aeLa

goce

phal

us s

padi

ceus

Toad

fish,

Bro

wn-

Bac

ked

Lago

ceph

alus

spa

dice

us37

4670

17Te

traod

ontid

aeO

meg

opho

ra a

rmill

aR

inge

d To

adfis

hO

meg

opho

ra a

rmill

a37

4670

02Te

traod

ontid

aeO

meg

opho

ra c

yano

punc

tata

Blu

e-sp

otte

d P

uffe

rfish

Om

egop

hora

cya

nopu

ncta

ta37

4670

48Te

traod

ontid

aeP

olys

pina

pio

sae

Ora

nge-

barr

ed P

uffe

rfish

Pol

yspi

na p

iosa

e37

4670

49Te

traod

ontid

aeP

olys

pina

pio

sae

Toad

fish,

Ora

nge-

barr

ed P

uffe

rfish

Pol

yspi

na p

iosa

e37

4670

49Te

traod

ontid

aeTe

traod

ontid

aeP

uffe

rfish

es, T

oadf

ishe

s A

nd T

obie

sTe

traod

ontid

ae37

4670

00Te

traod

ontid

aeTo

rgui

gene

r ple

urog

ram

ma

Ban

ded

Toad

fish

Torq

uige

ner p

leur

ogra

mm

a37

4670

30Te

traod

ontid

aeTo

rqui

gene

r pal

limac

ulat

usTo

adfis

h, O

rang

e S

potte

dTo

rqui

gene

r pal

limac

ulat

us37

4670

09Te

traod

ontid

aeTo

rqui

gene

r pal

limac

ulat

usTo

adfis

h, O

rang

e-sp

otte

dTo

rqui

gene

r pal

limac

ulat

us37

4670

09Te

traod

ontid

aeTo

rqui

gene

r ple

urog

ram

ma

Blo

wfis

h, C

omm

onTo

rqui

gene

r ple

urog

ram

ma

3746

7030

Tetra

odon

tidae

Torq

uige

ner p

leur

ogra

mm

aTo

adfis

h, B

ande

dTo

rqui

gene

r ple

urog

ram

ma

3746

7030

Page 87: Ranked Risk Assessment for Bycatch in Multiple Fisheries ... · Evans, R. and Molony, B. W. 2010. Ranked Risk Assessment for Bycatch in Multiple Fisheries: a Bioregional Risk Assessment

Fisheries Research Report [Western Australia] No. 212, 2010 83

Fam

ilySp

ecie

s N

ame

Com

mon

Nam

eC

AA

B S

cien

tific

nam

eC

AA

B C

ode

Tetra

odon

tidae

Torq

uige

ner w

hitle

yiTo

adfis

h, W

hitle

y’s

Torq

uige

ner w

hitle

yi37

4670

28Tr

iaca

nthi

dae

Trip

odic

hthy

s an

gust

ifron

sTr

ipod

fish,

Bla

ck F

lag

Trip

odic

hthy

s an

gust

ifron

s37

4640

07Tr

iaki

dae

Furg

aleu

s m

acki

Sha

rk, W

hisk

ery

Furg

aleu

s m

acki

3701

7003

Tria

kida

eG

aleo

rhin

us g

aleu

sS

hark

, Sch

ool

Gal

eorh

inus

gal

eus

3701

7008

Tria

kida

eM

uste

lus

anta

rctic

usS

hark

, Gum

my

Mus

telu

s an

tarc

ticus

3701

7001

Tria

kida

eM

uste

lus

sp. A

Sha

rk, G

rey

Gum

my

Mus

telu

s an

tarc

ticus

3801

7001

Tric

hiur

idae

Tric

hiur

us le

ptur

usH

airta

il, L

arge

head

Tric

hiur

us le

ptur

us37

4400

04Tr

iglid

aeC

helid

onic

hthy

s ku

mu

Gur

nard

, Red

Che

lidon

icht

hys

kum

u37

2880

01Tr

iglid

aeC

helid

onic

hthy

s sp

.G

urna

rdTr

iglid

ae37

2880

00Tr

iglid

aeLe

pido

trigl

a ar

gus

Gur

nard

, Lon

g-fin

ned

Lepi

dotri

gla

argu

s37

2880

32Tr

iglid

aeLe

pido

trigl

a m

odes

taG

roov

ed G

urna

rdLe

pido

trigl

a m

odes

ta37

2880

07Tr

iglid

aeLe

pido

trigl

a sp

inos

aB

utte

rfly

Gur

nard

Lepi

dotri

gla

spin

osa

3728

8028

Trig

lidae

Pte

rygo

trigl

a po

lyom

mat

aS

harp

-bea

ked

Gur

nard

Pte

rygo

trigl

a po

lyom

mat

a37

2880

06Tr

iglid

aeLe

pido

trigl

a pa

pilio

Spi

ny G

urna

rdLe

pido

trigl

a pa

pilio

3728

8002

Uro

loph

idae

Tryg

onop

tera

ova

lisS

tinga

ree,

Stri

ped

Tryg

onop

tera

ova

lis37

0380

16U

rano

scop

idae

Icht

hysc

opus

insp

erat

usS

targ

azer

, Dou

ble-

band

edIc

hthy

scop

us in

sper

atus

3740

0012

Ura

nosc

opid

aeU

rano

scop

idae

Sta

rgaz

erU

rano

scop

idae

3740

0000

Ura

nosc

opid

aeU

rano

scop

us b

icin

ctus

Sta

rgaz

er, M

arbl

edU

rano

scop

us c

f bic

inct

us37

4000

07U

rano

scop

idae

Ura

nosc

opus

cog

natu

sS

targ

azer

, Yel

low

tail

Ura

nosc

opus

cog

natu

s37

4000

08U

rano

scop

idae

Icht

hysc

opus

bar

bartu

sFr

inge

d S

targ

azer

Icht

hysc

opus

bar

batu

s37

4000

02U

rolo

phid

aeU

rolo

phus

pau

cim

acul

atus

Stin

gare

eU

rolo

phus

pau

cim

acul

atus

3703

8004

Uro

loph

idae

Uro

loph

us s

p3M

aske

d S

tinga

ree

Uro

loph

idae

3703

8000

Uro

loph

idae

Uro

loph

us s

p4M

aske

d S

tinga

ree

Uro

loph

idae

3703

8000

Velif

erid

aeM

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