regional fisheries livelihoods programme for …for south and southeast asia (rflp) ----- activity...

REGIONAL FISHERIES LIVELIHOODS PROGRAMME

FOR SOUTH AND SOUTHEAST ASIA (RFLP)

---------------------------------------------------------

Activity 1.2.3 (2012)

Coastal Community Fisheries Catch Monitoring in Cambodia

For the Regional Fisheries Livelihoods Programme for the South and Southeast Asia

Cambodia Component

Prepared by

Serywath Suy,

Director

Marine Fisheries Research and Development Institute (MaFReDI)

Fisheries Administration (FiA)

May 2013

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Disclaimer and copyright text This publication has been made with the financial support of the Spanish Agency of

International Cooperation for Development (AECID) through an FAO trust-fund project, the

Regional Fisheries Livelihoods Programme (RFLP) for South and Southeast Asia.

The designations employed and the presentation of material in this information product do

not imply the expression of any opinion whatsoever on the part of the Food and Agriculture

Organization of the United Nations (FAO) concerning the legal or development status of any

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recommended by FAO in preference to others of a similar nature that are not mentioned.

The views expressed in this information product are those of the author(s) and do not

necessarily reflect the views or policies of FAO, AECID, or RFLP.

© FAO 2013

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Bibliographic reference For bibliographic purposes, please reference this publication as:

Suy S. (2013). Coastal Community Fisheries Catch Monitoring in Cambodia. Regional

Fisheries Livelihoods Programme (GCP/RAS/237/SPA). Field Project Document 2012/CMB/ LOA/2012/009

ii

Acknowledgements

The authors are very grateful to His Excellency Professor Nao Thuok Ph.D., Director General

of the Fisheries Administration (FiA) and Mrs. Kaing Khim, Deputy Director General of the

FiA for their continous support and advice during this study.

Our sincere thanks are also given to Mr. Yun Darith and Mr. Ly Kunthy, Fisheries Officer

who kindly assisted in data entry and checking for errors before final analysis for reporting,

and also thanks to Mr. Kim Sour, senior fisheries officer for reviewing and editing in order to

finalise the report.

We would like to profoundly thank FAO Cambodia - Regional Fisheries Livelihoods

Programme for South and Southeast Asia (RFLP), which is funded by Spain for its financial

support. Without this support, this study would have been impossible. Sincere thanks are also

given to the RFLP regional and national staff and particularly Mr. Jose Parajua, RFLP

Regional Programme Manager, Mr. Don Griffiths, RFLP Chief Technical Advisor, Mr. Yos

Chanthana, Fisheries Co-management Consultant and Mr. Thay Somony, RFLP Cambodia

National Project Coordinator for their comments on the report and support during the study.

We would also like to deeply thank the Fisheries Administration Cantonments of Kep,

Kampot, Kampong Som and Koh Kong provinces for their strong support. Specifically, we

thank Mr. Chak Sinead (Deputy Chief of Kep Division), Mr. Phan Sopha (Kampot FiA

fisheries officer), Mr. Em Phea (Deputy Chief of Prey Nub FiA of Kompngsom Division),

Mr. Mak Chong (Chief of Steung Hav FiA of Kompongsom Division) and Mr. Chan Sophy

(Chief of Sre Ambel FiA of Koh Kong Unit) for their kind assistance and support during this

field study.

Finally the authors would like to thank all the 25 fishers from the five selected Community

Fisheries (CFi’s) who kindly collected and provided the data on which this report is based.

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Contents

ACKNOWLEDGEMENTS ................................................................................................... II

SUMMARY .................................................................................................................... 1

1. BACKGROUND ........................................................................................................ 3

2. OBJECTIVES OF THE STUDY ..................................................................................... 4

3. SCOPE OF THE STUDY ............................................................................................. 5

4. METHODS .............................................................................................................. 5

4.1. Study areas ...................................................................................................... 5

4.2. Fishing gear monitoring ................................................................................... 6

4.3. Survey design .................................................................................................. 7

4.4. Sampling and Total Catch ................................................................................ 8

5. RESULTS AND DISCUSSION .................................................................................... 11

5.1. Fisher profiles ................................................................................................ 11

5.2. Average catch and value per fishing trip ........................................................ 11

5.3. Monthly catch of top ten fishers ..................................................................... 13

5.4. Monthly value of top ten fishers ..................................................................... 14

5.5. Key important species caught by fishers ....................................................... 16

5.5.1 Fisher ID 1: Wedge-shaped scoop basket ............................................................................ 17

5.5.2 Fisher ID 2: Crab gill net (Mong Kdam) ................................................................................ 17

5.5.3 Fisher ID 3: Crab trap ........................................................................................................... 18

5.5.4 Fisher ID 4: Fish gill net ........................................................................................................ 19

5.5.5 Fisher ID 5: Hand push-net................................................................................................... 19

5.5.6 Fisher ID 6: Crab trap ........................................................................................................... 20

5.5.7 Fisher ID 7: Fish gill net ........................................................................................................ 21

5.5.8 Fisher ID 8: Moolgarda (Kbork) gill net ................................................................................ 21

5.5.9 Fisher ID 9: Moolgarda (Kbrok) gill net and hand push-net ................................................. 22

5.5.10 Fisher ID 10: Threadfin (Karav) and other fish gill nets ...................................................... 23

5.5.11 Fisher ID 11: Hand collection of Violet Vinegar Crab ......................................................... 23

5.5.12 Fisher ID 12: Crab trap ....................................................................................................... 24

5.5.13 Fisher ID 13: Hand collection of Common Geloina ............................................................ 24


5.5.15 Fisher ID 15: Hand Collection of Common Geloina............................................................ 25

5.5.16 Fisher ID 16: Shrimp and fish gill nets ................................................................................ 26

5.5.17 Fisher ID 17: Crab trap and fish gill net .............................................................................. 26

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5.5.18 Fisher ID 18: Shrimp and fish gill nets ................................................................................ 27

5.5.19 Fisher ID 19: Crab gill net ................................................................................................... 27




5.5.23 Fisher ID 23: Fish gill net .................................................................................................... 29

5.5.24 Fisher ID 24: Hand collection of blood cockle (Riev Kreing Chhiem) ................................. 30

5.5.25 Fisher ID 25: Crab gill net ................................................................................................... 30

5.6. Monthly average prices at landing sites by species by fisher ........................ 31

5.7. Frequencies versus average maximum length by fisher by species .............. 31

6. CONCLUSIONS ..................................................................................................... 32

7. SUGGESTIONS FOR FURTHER STUDIES ................................................................... 33

LIST OF TABLES

Table 1: List of fishing gears monitored in this study ........................................................... 6

Table 2: Average catch (kg) and value (Riel) of crab traps per fishing trip from June 2012

to March 2013, ranking according to the total catch ........................................................ 11 Table 3: Regression on fish gill net .......................................................................................... 15 Table 4: Regression on crab traps ......................................................................................... 115 Table 5: Regression on crab gill net ........................................................................................ 16

Table 6: The comparision of average maximum length (cm) of the key aquatic species …..…311

LIST OF ANNEXES

Annex 1: Fisher logbook ........................................................................................ 35

Annex 2: Name of fishers and their fishing gears used in five target community fisheries

37 Annex 3: Average weight (Kg) and value (Riel) per fisher per trip (ranking according to

value at the landing site) .............................................................................................. 40

Annex 4: Monthly catch (Kg) and value (Riel) by fisher (Ranking according to value) . 41

Annex 5: Monthly catch (Kg) by species and by fishers, ranking according to total catch

over the period from April to November 2011 ................................................................ 43

Annex 6: Monthly landing value (Riel) by species and by fishersover the period from

April to November 2011 (ranking according to total value) ............................................. 52

Annex 7: Average price (Riel/kg) of catch by species by fisher .................................. 62

Annex 8: Average maximum length (cm) versus frequencies by fisher measured over the

period from April to November 2011 ............................................................................ 72

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TABLE OF FIGURES

Figure 1: Map of Community Fisheries (CFis) covered in the study.............................. 6 Figure 2: Average catch per fishing trip by fisher (June 2012 to March 2013) .............. 12

Figure 3: Average value (value at fish landing site) obtained per fishing trip by fisher .. 12 Figure 4: Monthly catch of top the ten fishers ranking according to the total catch over

the study period from June 2012 to March 2013. ............................................................ 14 Figure 5: Monthly total monetary value of top ten fishing gears during the study period

from June 2012 to March 2013. .................................................................................... 14 Figure 6: Fisher ID 1, Catch proportion by species from June 2012 to March 2013 ...... 17

Figure 7: Fisher ID 2, Catch proportion by species from June 2012 to March 2013 ...... 18

Figure 8: Fisher ID 3, Catch proportion by species from June 2012 to March 2013 ...... 18 Figure 9: Fisher ID 4, Catch proportion by species from June 2012 to March 2013 ...... 19



Figure 12: Fisher ID 7, Catch proportion by species from June 2012 to March 2013 ...... 21 Figure 13: Fisher ID 8, Catch proportion by species from June 2012 to March 2013 ...... 22


Figure 15: Fisher ID 10, Catch proportion by species from June 2012 to March 2013 .... 23

Figure 16: Fisher ID 11, Catch proportion by species from June 2012 to March 2013 ..... 24

Figure 17: Fisher ID 12, Catch proportion by species from June 2012 to March 2013 .... 24 Figure 18: Fisher ID 13, Catch proportion by species from June 2012 to March 2013 .... 25


Figure 20: Fisher ID 15, Catch proportion by species from June 2012 to March 2013 .... 26 Figure 21: Fisher ID 16: Catch proportion by species from June 2012 to March 2013 ... 26



Figure 26: Fisher ID 21, Catch proportion by species from June 2012 to March 2013 .... 29 Figure 27: Fisher ID 22, Catch proportion by species from June 2012 to March 2013 .... 29 Figure 28: Fisher ID 23, Catch proportion by species from June 2012 to March 2013 .... 30



1

Summary

Cambodian coastal fisheries play a very essential role for supporting livelihoods in many

rural coastal areas, particularly for community fisheries (CFi’s) living along the coastline.

These fisheries resources serve as a source of food, employment and income generation for

many coastal fishers.

The project of “Coastal Community Fisheries Catch Monitoring”, which was financially

supported by the Regional Fisheries Livelihoods Programme Cambodian component

(RFLP/CMB), conducted monitoring of fish catch from 01 May 2012 to 31 March 2013 in

five CFi’s, with a total of 25 fishers (5 from each CFi) selected for collecting specific marine

fish catch data and recording the data in a supplied logbook on a daily basis.

The purpose of doing so was to get a better understanding of catch per unit of effort (CPUE),

the health of inshore fish stocks and the contribution of marine product to small-scale fishing

households. Key data items recorded including total catch (weights), catch by species, total

sale price, fish price of main species and total lengths of some key aquatic species.

The study involved designing logbooks, data collection methods, designing and entering the

data into the database, data checking, and preparing report to be shared back with the selected

25 fishers.

More than 100 different marine species were recorded during the study. Fish caught by

species varied according to different fishing gears. Data on catch, value, prices as well as

maximum length of all species were attached as annexes to this report.

Some fishing gears were highly selective, including crab traps, gastropod (octopus) long line,

squid hook and line, as well as hand collecting of blood cockles. A few fishing gears such as

crab gill nets, fish traps and hand collection with supplementary equipment were fairly

selective, and caught about 10 different aquatic species, and hence only a limited amount of

by-catch was taken by these gears. However, other types of fishing gears such as different

types of fish gill nets and hand push-nets were very unselective catching more than 30

different aquatic species and usually resulted in a high proportion of by-catch.

Overall, fishers spent an average of 9.4 hours fishing, with some variation. The average catch

at landing sites per fishing trip was around 22.6 kg with an average value of Riel 106,500;

though there was considerable variation over time and season for both the catch quantity and

its value.

Fishers soaked gill nets in the sea for an average of 10.3 hours with an average catch rate of

48.4 kg and an average total value of Riel 144,500 per trip. Crab traps were fished for an

average of 10 hours per trip, and gave an average catch of 9.2 kg, which was equivalent to an

average total value of Riel 91,126. Hand push-net were particularly practiced in Kep and

Kampot Provinces, and operated on average for 5.4 hours per trip giving an average catch of

5.1 kilograms with an average value of Riel 21,700 per trip.

Hand collection with supplementary equipment such as a spade, sliding board, and basket

were considered to be the least efficient fishing method, and provided the least catch and

2

income. Hand collectors spent an average of 7.4 hours per trip in search of aquatic products

and on average collected 7.9 kg of blood cockles, the cheapest species, with a total average

price of Riel 9,300.

To better understand CPUEs of different marine species, it is recommended that for further

studies:

A standardized fishing gear should be applied for standardised sampling sites in order

to understand CPUE which is based on a specific gear type. In order to robustly

generalize findings from the study, sampling sites should be geographically

representative of different fish habitats and ecosystems. For example, fishers expect to

catch different fish species in mangrove forest, seagrass and coral reef ecosystem

habitat areas.

Biological, socio-economical and environmental parameters should be properly

included in order to obtain a broader view about the size of the catch, value and

species occurrences as well as factors from socio-economic and environmental

conditions.

Findings from this study should be presented to the 25 CFi members who were

directly involved in data collection, recording and reporting in order to let them

provide feedback and validation.

A clear field guide containing a list marine species with proper local Khmer names,

English names, scientific names and a brief description of each species should be

produced and made available for this type of research. The current marine field guide

for Cambodia is available for only a few key main marine species, while a large

number of other species still remain to be properly documented.

3

1. Background The Regional Fisheries Livelihoods Programme RFLP, which began activities in September

2009, is funded by Spain (US$ 16.35 million) and will operate for 4 years in Cambodia,

Indonesia, the Philippines, Sri Lanka, Timor-Leste and Viet Nam.

The RFLP addresses the following issues in south and south-east Asia:

The failure to manage the interface between fisheries and the wider external

environment;

Over-fishing, declining stocks and catch per unit effort and threatened aquatic species;

Spoilage of aquatic product along the distribution chain and low income for small-

scale fishers for their product;

The vulnerability of poor small-scale fisher communities and their livelihoods;

Extremely limited supplementary and/or alternative livelihoods options;

Limited development focus on poor small-scale fisher communities; and,

Limited access to micro-finance services.

The primary stakeholders and target beneficiaries are (i) coastal fishers, processors, traders

and their families, their organizations and their communities, including the local authorities

and; (ii) government organizations and institutions responsible for the administration,

management and development of the coastal fisheries at local, district/province and national

levels.

The RFLP outcome will be: ‘Strengthened capacity among participating small-scale fishing

communities and their supporting institutions towards improved livelihoods and sustainable

fisheries resources management’.

Major RFLP outputs will be:

Co-management mechanisms for sustainable utilization of fishery resources;

Improved safety and reduced vulnerability for fisher communities;

Improved quality of fishery products and market chains;

Strengthened existing and diversified alternative income opportunities for fisher

families;

Facilitated access to micro-finance services for fishers, processors and vendors; and,

Regional sharing of knowledge in support of livelihoods development and reduced

vulnerability for fisher communities and of sustainable fisheries resource

management.

With inshore fisheries in particular being increasingly heaviliy exploited, fisheries data

collection at the Community Fisheries (CFi) level has become increasingly important,

especially for a better understanding of species abundance and the current catch rate by

fishers. Catch monitoring, especially for catch per unit of effort (CPUE), fish catch

composition and prices of fish at the landing site, are also essential for the establishment of

baseline data. Hence, a community-based catch monitoring programme is essential to allow

changes in catch/species composition and prices, as well as catch rate per fisher per fishing

gear over time and place, to be understood by co-managers (that is, fishers and government

4

fisheries decision-makers) and actions or interventions can be designed or modified based

upon the best available data.

Based on the above reasons, in 2011 RFLP Cambodia supported the Fisheries Administration

to conduct pilot catch monitoring at 5 CFis namely Okrasa, Trapiang Ropov, Chumpou

Khmao and Koh Rungsanlem, and Koh Kchang. Steps for developing and implementing the

community-based catch monitoring programme included:

Selection of five Community Fisheries in the four coastal provinces under RFLP

Cambodia;

Explaining and discussing the proposed project with CFi members and ensuring

their interest and willingness to participate in this pilot activity;

Prioritization of the most important fishing gears used by CFi fishers;

Design of a fisheries logbook;

Design and establishment of a database for recording, storing and utiization of the

collected data;

Select fisheries data collectors (fishers in the pilot communities);

Training of data collectors on how to fill in logbook;

Testing and validation of the logbook and recorded data;

Implemention of community-based fish catch monitoring program by recording

details on fish catch on a daily basis;

Supervision and support of field data collection;

Input by FiA staff to collection and data entry into the database (on a weekly

basis);

Processing, cleaning and analysing the data by FiA staff (on a monthly basis); and,

Writing final activity report.

After one year of piloting the community catch monitoring the Fisheries Adminstration

requested that RFLP continue to support the activity for one more year in order to further

increase the reliability of catch monitoring data. The Marine Fisheries Research and

Development Institute were engaged under a Letter of Agreement arrangement, to continue

pilot community catch monitoring at Okrasa in Kep Province, Trapiang Ropov in Kampot

Province, Chumpou Khmao and Tumnum Rolok in Preah Sihanouk Province and Koh

Kchang in Koh Kong Province. This was RFLP Cambodia activity 1.2.3 of the 2012

approved activity work plan and budget on Support the establishment and implementation of

a programme of community-based marine fish catch monitoring in Community Fisheries.

This activity will also contribute to achieving the RFLP intermediate outcome on “Co-

management mechanisms for sustainable utilization of fishery resources” and the RFLP

overall outcome which is ‘Strengthened capacity among participating small-scale fishing

communities and their supporting institutions towards improved livelihoods and sustainable

fisheries resources management’.

2. Objectives of the study The main objective of this activity was to establish a community-based catch monitoring

programme and to collect baseline data on catch rate or catch per unit of effort (CPUE) of

5

important fishing gears in five selected Community Fisheries currently being targeted by

RFLP/CMB. The specific objectives of this activity were to:

- Set up a team of field data collectors in five community fisheries (CFis) to record

details of their catch by species and effort by gears.

- Design a logbook for selected CFi fishers (25 fishers) to record details of their catch

by species and effort by gears.

- Train (25) CFi members from the selected CFis under the RFLP/CAM target on how

to use the logbooks for the recording of their daily catches.

- Design a database for storing and using the collected data; technically support field

data collection. And generate a catch monitoring report (with baseline data on catches

from each selected CFi).

3. Scope of the study The study targeted five (5) coastal community fisheries. The study period was undertaken

between 31 May 2012 and 31 March 2013. Following logbook design, fishers were selected

and trained in field data collection and thereafter followed-up in the field during ten-months

of data collection.

4. Methods

Length frequency is an indicator that is routinely used by fisheries biologists to better

understand about the health status of aquatic stocks. Therefore, for this study, each

fisher was asked to record the maximum length of each species caught on a daily basis

when they reported their catches. The average maximum length of each species

captured by each of the 25 selected fishers involved in this study was then calculated

against their frequencies (number of marine fish or other aquatic marine animal).

4.1. Study areas The study area covered the four coastal provinces of Cambodia namely Kep, Kampot, Preah

Sihanouk and Koh Kong Provinces where RFLP/CAM (2009-13) was conducting activities

in collaboration with the Fisheries Adminstration (FiA). Five coastal Community Fisheries

(CFi’s), namely Okrasa in Kep Province, Trapiang Ropov in Kampot Province, Chumpou

Khmao and Tumnum Rolok in Preah Sihanouk Province and Koh Kchang in Koh Kong

Province were selected for this study, as being geographically representative of the coastal

conditions and inshore fishing areas found along the 400 km coastline of Cambodia. The

selected locations are shown in Figure 1 below.

6

Figure 1: Map of Community Fisheries (CFis) covered in the study

4.2. Fishing gear monitoring A total of 11 key fishing gears were selected for monitoring in the five selected coastal

community fisheries. These selected fishing gears were chosen as being typical and

commonly used small-scale inshore fishing gears. They were selected through a participatory

consultation meeting with each of the five selected CFis. Amongst these fishing gears, hand

collection or gleaning was one of the most common practices used by community fisheries

members. Often villagers (with a spade, basket and a sliding board) spend approximately half

a day to one day in the coastal areas, mangrove forests or sea grass searching for marine

aquatic animals such as blood cockle, crabs and shrimp.

It is worth noting that the legal status of the fishing gears selected for this monitoring project

is still unclear. Chapter 9 (Article 45) of the current fisheries law of Cambodia briefly states

that “all types of fishery exploitations in the marine fishery domain, except subsistence

fishing, shall be allowed only in the possession of a license and these exploitations shall

follow the conditions and obligation in the fishing logbook”. Article 45 also indicates that

“the model of the fishing logbook shall be determined by the proclamation of the Minister of

Agriculture, Forestry and Fisheries”. However, there is no current official proclamation

which clearly categorizes ‘in detail’ the dimensions for different types of fishing gears used in

the marine waters of Cambodia. Therefore, in principle, it is difficult to clearly categorise

whether the fishing gears selected for this monitoring project were legal or illegal and

whether they should be considered as subsistence fishing gears or otherwise – even though, in

practice, it was claimed that they all were subsistence fishing gears. The full list of the 11

fishing gears monitored in this study is given in Table 1 below.

Table 1: List of fishing gears monitored in this study

No. Khmer name English name

1 Lop Kdam Crab trap

2 Chab Kdam Chhor Hand collection of Violet Vinegar Crab

3 Mong trey Fish gill net

7

No. Khmer name English name

4 Mong kdam Crab gill net

5 Mong Karav Karav (threadfin) gill net

6 Mong Kabork Kabork (mullet) gill net

7 Mong Bangkea BangKea gill net

8 Chheb runh dai Hand push net

9 Chhnieng chunhchoat Wedge-shaped scoop basket

10 Riev Ngeav Phourk Hand collection of Common Geloina

11 Riev Kreing Chhiem Hand collection of blood cockle

4.3. Survey design Data on coastal fisheries from 25 subsistence fishers, including women, in the selected

community fisheries was collected on a daily basis for the purpose of better understanding

catch (catch per unit of effort) and corresponding value that subsistence fishers obtain for

their catches if it was sold. The main data items recorded were catch weight (total and by gear

types), fishing duration, fishing location, catch composition by species, price per kg at sale by

species, catch value by species, total fish length, etc. The main steps in the research process

were: (1) designing logbooks, (2) training selected fishers as data collectors on data collection

methods, (3) collecting data from all the selected fishers, (4) designing a database and (5)

entering all the collected data into the database, checking for errors and analysing the

collected data for final reporting.

(1) To begin with, a logbook was designed in order to facilitate the data collection process.

The logbook consisted of cover page and data recording pages. The cover page detailed the

name of the project, the involved institutions (the Fisheries Administration and RFLP/CAM)

and the fisher’s contact details as well as the community fisheries to which he/she belonged.

The data recording pages were designed to capture data concerning the dimension of fishing

gears used by the selected fishers, total catch per fishing trip, species composition and their

prices per kilogram and total lengths of each species with the largest size etc. Logbooks were

always made available to all fishers for recording their daily catch on a monthly basis. Each

logbook was usually composed of a cover page, 30-31 pages of data recording sheets and

diagrams showing how samples and sub-samples should be taken when recording data into

the data recording sheets, as well as how the length of marine aquatic species should be

measured. The logbooks were produced using simple, easy to understand Khmer language.

An example logbook is given as Annex 1 of this report.

(2) Next, before the actual data collection was started, a team of data collectors (fishers) in

each of the five selected community fisheries was established. The full list of the data

collection team names and gear types used in each community fisheries are given as Annex 2.

All the data collectors were trained in data collection methods and on the identification of

different aquatic species. Data collectors were first trained on how to fill in the logbook.

Then, the training was started with data collection methods which included how to sample the

catch and sort the sub-sample by species. The training also included how to measure the total

length of fish and how to measure other marine aquatic animals such as crabs, shrimp, blood

cockles and squid. Data collectors were also trained on how to identify fish species before

recording the information onto the data sheets in the logbook. Fishers were advised to record

x-other or trey cham ros as by-catch or trash fish if they had any difficulties sampling and

identifying species which were of small size.

8

(3) The third step was the actual data collection process by the 25 fishers using 11 different

fishing gears types from the five selected coastal community fisheries. Logbooks were given

out to all the selected fishers in advance. To properly record the catch per unit of effort

(CPUE), the time when fishing gear was in the water and the time when the catch was

removed from the sea was recorded. Logbooks were designed and explained in a way which

allowed fishers to properly record the actual fishing period in hours for their corresponding

catches. To record the catch by species for each fishing gear, samples were taken for analysis

of species composition.

(4) The fourth survey step was to design a database. The database was designed in Microsoft

Excel 2007 in accordance with the agreed logbook. Data concerning fishers’ profiles, fishing

gears used and marine fish and other aquatic animals were entered, stored and analyzed in the

database. The database was first tested with actual field data collected by fishers to make sure

that it functioned well. Thereafter one key identified staff from the Department of Planning,

Finance and International Cooperation of the Fisheries Administration was given training on

operation of the database. The concerned staff member was responsible for data entry for the

whole period of the study.

(5) The last step was data entry, data checking for errors and analysis. All the logbooks (with

data) were collected from the 25 selected fishers on a monthly basis. The logbook data were

sorted and entered into the database according to the community fisheries name, the selected

fisher’s name and fisher codes to facilitate data entry. Data cleaning and checking for errors

was an essential next step that was conducted to ensure that there were no data anomalies and

validated before final analysis for reporting. Data storage, processing, cleaning and some data

analysis were undertaken in Microsoft Excel 2007.

In addition to the above, the local Khmer names of aquatic species reported by fishers were

verified using existing field guides in order to check for corresponding English and scientific

names against Fishbase. Unknown/unidentified species were preserved in a plastic bottle in

alcohol and were taken back to a laboratory for further identification. Samples of any

unidentified species have been retained at the Fisheries Administration office in Phnom Penh

for future identification. Multiple regressions was used to explore the relationships between

independent variable, monthly values, with other criterion variables such as numbers of trips,

catch, and numbers of fishing gear units used.

Data on maximum length of each species in 2011 was compared with 2012-13 aimed

at measuring stock health of fisheries resources in the community fisheries.

4.4. Sampling and Total Catch

As mentioned in step 3 of the survey design, a sub-sample of fish was sorted by species and

each species was weighed on calibrated balances. The price of each species was also

recorded, based on information from fishers who, in some cases, sell their catches to a

middle-person or in a local market. For some common species, total fish lengths of the largest

species were measured using a measuring ruler accurate to 1 mm. The procedure of sub-

sampling was as shown in the following diagram:

Y= α +b1X1 + b2X2+b3 X3, where Y: monthly value, α: intercept, b1,b2,b3: slope, X1:

numbers of trips, X2: monthly catch, and X3: numbers of fishing gear units used.

9

Recording the Whole Catch

Recording a sub-sample of the catch

១. របបៀបវាសក់្តា មបសេះ នងិក្តា មថ្ម

1

2

5

Form

3

6

7

8

9

4

1

2

5

Form

3

6

7

8

9

4

10

Source: http://www.dpi.qld.gov.au/28_3065.htm

Source: FAO Fisheries Technical Paper, 1992

11

5. Results and discussion

5.1. Fisher profiles A total of 25 coastal fishers from five coastal community fisheries in the four coastal four

provinces were involved in this study. All the selected fishers practiced only small-scale

fishing using gears to fish in support of their livelihoods. An identification number or fisher

ID (1-25) was given to each fisher for the purpose of data analysis. The details of each fisher

including their name, CFi name, and province to which they belonged, the fishing gear used,

fishing gear dimensions and the number of fishing gear units used (if applicable) are given in

Annex 2 of this report.

5.2. Average catch and value per fishing trip Table 2 presents the average catch per crab fishing trip reported by each fisher monitored

between late June 2012 to March 2013 from the 05 piloted CFi’s. The two main crab species

caught were, or blue swimming crab (Portunus pelagicus) or kdam ses in khmer and

mangrove mud crab (Scylla serrata) or kdam thmor in Khmer.

Overall for the 25 selected fishers, the average time of gear operation was 9.4 hours that was

0.5 hour more than the previous research, though there was a lot of variation between

different fishing gears, fishers and fishing trips. The average catch and value at landing sites

per fishing trip was around 22.6 kg and Riel 106,500 which were 4.6 kg and Riel 26.500

more than the previous research respectively. Detailed average catch and value against

average actual fishing time in hours for each fisher, which were reported for their catch are

given in Annex 3 of this report.

Fish gill net (fisher ID: 4, 7, 10, 16, 17, 18, 23) and karav or threadfin (Eleutheronema

tetradactylum) gill net (fisher ID: 10) set their nets for an average of 9.7 hours per fishing

trip. However, the average catch per fishing trip reported by the fishers was about 70 kg

respectively over the study period. The average value obtained per fishing trip was around

Riel 133,600.

Also, from Table 2, it appears that trap crab fishers (Fisher ID: 3, 6, 12, 14, 17, 20, 21 and 22)

earned significantly more from their small-scale fishing than most other fishers except those

targeting high value fish like groupers and crab gill net fishers. This was perhaps because of

the high market price of crab. Average catch and average value per fishing trip from crab trap

fishers is given in Table 2 below. Detailed information on prices (Riel/kg) at the landing site

for all species caught by each fisher is given at Annex 7 of this report.

Table 2: Average catch (kg) and value (Riel) of crab traps per fishing trip from June 2012 to March 2013, ranked

according to the total catch

ID Main crab

species

caught

N of

Traps

Average catch per trip

(kg)

Average catch per 100

traps (kg)

Average

Value per

trip

(Riels)

Average

Fishing

hour per

trip Blue

swimming

crab

Mangrove

mud crab

Blue

swimming

crab

Mangrove

mud crab

3

Blue

swimming

crab

200 2.8 1.4 31,000 5.5

6

Blue

swimming

crab

500 11.2 2.2 111,600 10.8

12

ID Main crab

species

caught

N of

Traps

Average catch per trip

(kg)

Average catch per 100

traps (kg)

Average

Value per

trip

(Riels)

Average

Fishing

hour per

trip Blue

swimming

crab

Mangrove

mud crab

Blue

swimming

crab

Mangrove

mud crab

12 Mangrove

mud crab 50 2.4 4.8 36,400 9

14 Mangrove

mud crab 60 2.0 3.4 41,400 7.5

17

Blue

swimming

crab

800 14.4 1.8 188,200 10.4

20

Blue

swimming

crab

560 14.0 2.6 134,500 18.1

21

Blue

swimming

crab

300 6.4 2.1 71,300 11.7

22

Blue

swimming

crab

400 13.6 3.4 72,600 11.8

Average 358 10.4 2.2 2.3 4.1 85,900 10.6

The crab fishers listed in

Table 1 above all used similar crab traps, but crab trap fishers ID 12 and 14 caught far less

than fishers ID 3, 17, 20, 21, 22 because they had non-motorized boats and had far less traps

namely only 50 and 60 traps respectively, while the others had motorized boats and between

200 - 800 traps. The average crab catch per 100 traps for blue swimming crab was 2.3 kg, but

both fisher ID 12 and 14 had quite high catch rates per 100 traps for mangrove mud crab at

4.8 kg and 3.4 kg respectively.

It was also observed that hand collection fishers (Fisher ID: 13, 15, and 24) with some

supplementary equipment such as spades, baskets and sliding boards were the least efficient

fishers, collecting a gear average of 7.9 kg of marine fish and other aquatic marine animals

such as crabs, cockles and shrimp in mangrove forests and sea grass areas per fishing trip.

These fishers spent around 7.4 hours per session searching for other marine aquatic animals

(non-fish species) and typically only earned around Riel 9,300 per fishing expedition.

13

Figure 2: Average catch per fishing trip by fisher (June 2012 to March 2013)

Figure 3: Average value (value at fish landing site) obtained per fishing trip by fisher

5.3. Monthly catch of top ten fishers Figure 4 shows the variation in monthly catch weight (kg) of the top ten fishing gears (in

terms of reported total catch) from June 2012 to March 2013. Overall, the monthly catches

reported for the top ten fishing gears showed no very clear trends, but varied around a mean

of approximately 836.5 kg. Figure 4, also shows that monthly catches by Bangkea and fish

gill net fisher (fisher ID 16) peaked in December at 5,274 and was the highest monthly total

catch reported for a specific gear type used among the 25 selected fishers. Fisher ID 16 was

from Tomnoup Rlork CFi, Sihanouk Province.

Interestingly, Reav Ngeav Phouk in Khmer or hand collection of common geloinain in

English (Polymesoda erosa) (fisher ID 13 from Chum Pou Khmao CFi, Preah Sihanouk

Province) collected by hand gleaning ranked number 8 in terms of the total catch over the

period from June 2012 to March 2013. This particular fisher spent an average of 7.9 hours

fishing/collecting daily. The reported monthly gleaning (hand-collection) catch varied

between 209 kg and 480 kg per month with an average of 330.4 kg. While common geloida

(Polymesoda erosa) was freely available in the community, they fetched a very low market

price. Fisher ID 13 earned the least income from his catch of all the 25 fishers monitored

between June 2012 to March 2013 (for additional details see Annex 3).

More details on the monthly catch reported by all fishers are given in Annex 4 of this report.

14

Figure 4: Monthly catch of top the ten fishers ranking according to the total catch over the study period

from June 2012 to March 2013.

5.4. Monthly value of top ten fishers Figure 5 shows the variation in the monthly catch value obtained by the top ten fishers over

the period from June 2012 to March 2013. The top ten fishers (in terms of total value), earned

between Riel 312,376 to Riel 6,894,600 a month from fishing. Importantly, fisher ID: 7 from

Trapiang Ropov CFi, who used a fish gill net of around 1,500 meters long, 3 meters deep and

a mesh size of 4.5 cm, reportedly earned around Riel 7,837,500 in October and up to Riel

8,400,000 in July.

More details about the monthly value reported by all fishers are given in Annex 4.

Figure 5: Monthly total monetary value of top ten fishing gears during the study period from June 2012 to

March 2013.

15

Regressions calculated in Tables 3, 4 and 5 respectively indicated that, dependent variable

(monthly value) and the independent variables (trip, catch and gear) were significantly

correlated. The regression equations were:

- Fish gill net: Y = 16,765.6 + 59,084.9 X1 + 1,864.8 X2 + 761,064 X3

- Crab trap: Y =-332,002 + 242,283.5 X1 + 6,654.63 X2 + 1,816.58 X3

- Crab gill net: Y = 445,891.6 – 27,528.8 X1 + 10,608.31 X2 + 357,622.4 X3

Table 3: Regression on fish gill net

Regression Statistics

Multiple R 0.829397

R Square 0.687899

Adjusted R Square 0.668791

Standard Error 1423713

Observations 53

df SS MS F Significance F

Regression 3 2.19E+14 7.3E+13 36.00011 1.93381E-12

Residual 49 9.93E+13 2.03E+12 Total 52 3.18E+14

Coefficients Standard

Error t Stat P-

value Lower 95%

Upper 95%

Intercept 167765.6 1118385.4 0.2 0.881 -

2079714.0 2415245.1

Trip 59084.9 27837.4 2.1 0.039 3143.6 115026.3

Catch 1864.8 198.1 9.4 0.000 1466.8 2262.9

Gear -761064.0 859179.8 -0.9 0.380 -

2487650.4 965522.4

According to the above table, we can say that there was a strong correlation between monthly

income from fishing, and the number of trips, the amount of catch and the number of gear

units used for fishers using fish gill nets with these variables accounting for 68% of the total

variation.

Table 4: Regression on crab traps


Multiple R 0.90923

R Square 0.8267


Standard Error 663926

Observations 80

df SS MS F Significance

F

Regression 3 1.6E+14 5.33E+13 120.8522 7.59227E-29

Residual 76 3.35E+13 4.41E+11

16

Total 79 1.93E+14


Error t Stat P-value Lower 95%

Upper 95%

Intercept -332002 308723.7 -1.0754 0.285597 -946878 282874.7

Trip 24283.5 11289.05 2.151066 0.034649 1799.397 46767.57

Catch 6654.63 616.1191 10.80088 5.18E-17 5427.52 7881.735

Gear 1816.58 424.3725 4.280632 5.38E-05 971.3713 2661.794

For crab traps the relationship between monthly income from fishing was strongly influenced

by the number of fishing trips, the catch volume, and the number of gear units accounting for

82 percent of the total variation in monthly fishing income.

Table 5: Regression on crab gill net


Multiple R 0.971368

R Square 0.943555


Standard Error 345311.4

Observations 30

df SS MS F Significance F

Regression 3 5.18E+13 1.73E+13 144.8748 2.40489E-16

Residual 26 3.1E+12 1.19E+11 Total 29 5.49E+13


Error t Stat P-value Lower 95%

Upper 95%

Intercept 445891.6 359653.1 1.239783 0.226129 -293386 1185169

Trip -27528.8 8992.127 -3.06143 0.005067 -46012.4 -9045.21

Catch 10608.31 597.3582 17.75871 4.67E-16 9380.423 11836.2

Gear 357622.4 139613.5 2.561518 0.016569 70642.78 644602.1

For crab gill nets the relationship between monthly income from fishing was very strongly

influenced by the number of fishing trips, the catch volume, and the number of gear units,

with these variables accounting for 94 percent of the total variation in monthly fishing

income.

5.5. Key important species caught by fishers Overall, more than 100 different aquatic fish, shrimp, gastropods and bivalve mollusks

species were reported being caught or collected by the 25 studied fishers over the 10 month

plus survey period. Gill nets and hand push net were reported as having captured a greater

bio-diversity of species than other fishing gear types. However, some gill net types that were

designed to target only a small number of fish species and crabs such as the threadfin or karav

gill net, the mullet or kabork gill net and the crab gill net were more selective. In addition,

some fishing gears were highly selective, targeting and catching only one or two species and

17

these included crab traps, hand collection of common geloina, hand collection of violet

vinegar rrab, and hand collection of blood cockles.

In this section, an attempt has been made to provide detailed information on the key species

caught by each of the 25 selected fishers who were involved in recording their catches over

the study period from late June 2012 to March 2013. More detailed information about the

catch and value by species by each fisher is given in Annexes 5 and Annex 6 of this report.

5.5.1 Fisher ID 1: Wedge-shaped scoop basket Overall, 11 species and many other species grouped as “others” were recorded by this fisher.

The wedge-shaped scoop basket was primarily operated in sea grass beds areas. Apart from

this, the same fisher also reported collecting/gleaning marine aquatic animals by hand in

coastal wetland areas and mangrove forests. Almost 60 percent of the catch was made up of

the 2 species called Phy in Khmer which as yet are unidentified and Bangkea Sor in Khmer

which is also unidentified as is shown in Figure 6. Phy comprised 46 percent of the total

catch during the survey period, while Bangkea Sor comprised 24 percent of the total catch of

fisher ID 1.

Figure 6: Fisher ID 1, Catch proportion by species from June 2012 to March 2013

5.5.2 Fisher ID 2: Crab gill net (Mong Kdam) Fisher ID 2 reported only catching 6 species during the study period. Figure 7 below shows

the main six species caught by fisher ID 2 during the survey period. 93 percent of the catch

was composed of only 3 species which were blue swimming crab, the gastropod mollusk

(Conus vexillum) or Khyorng thnot in Khmer and the gastropod mollusk (Melo melo) or

Khyorng dong in Khmer which comprised 49, 35 and 9 percent of the catch respectively.

Interestingly, although this fishing gear specifically targets blue swimming crab, it also

captures several other economically important species and gastropod mollusks in particular.

18


5.5.3 Fisher ID 3: Crab trap Fisher ID 3 reported a total catch of 12 different species. However, blue swimming crabs

formed the largest share (59 percent) of the total catch. Other important species included in

the catch were Kdam Krohorm which has not been identified, and Bangkorng Sor which has

also not been identified (see Figure 8).


19

5.5.4 Fisher ID 4: Fish gill net Fisher ID 4 reported taking 19 different species using his fish gill net (Mong Trey) including

some minor catch species which was recorded as “others”. The main species reported by the

fish gill net included 20 percent deep-bodied mojarra (Gerres abbreviatus) or Trey Do Angkor

in Khmer as shown in Figure 9.


5.5.5 Fisher ID 5: Hand push-net Fisher ID 5 reported a total of 14 identified species in the catch, including by-catch (others)

which was probably made up of several species. The hand push net or Chheb Runh Dai gill

nets in Khmer are often operated in inshore areas where there are sea grass beds. Three

species taken by the hand push net contributed over 70 percent of the catch and in descending

order of catch proportion these were Bangkea Sor (unidentified), Trey Damlong

(unidentified), and barhead spinefoot (Siganus virgatus) or Trey Katang Thmor in Khmer.

These three species comprised 48, 17, and 12 percent of the catch weight respectively as

shown in Figure 10.

20


5.5.6 Fisher ID 6: Crab trap Fisher ID 6 reported 9 different species caught. By-catch which was composed of several

species was also reported in “other”. As shown in Figure 11, the crab trap was selective in

targeting mainly blue swimming crab known in Khmer as Kdam Ses which consisted of 76

percent of the total catch, with other species contributing only a small proportion of the catch

in comparison.


21

5.5.7 Fisher ID 7: Fish gill net Fish gill nets were a highly selectively type of fishing gear. 733 percent of the total catch

which was comprised of two species were short mackerel (Rastrelliger brachysoma) know as

Trey Kamong Khloun Khley and an unidentified mackerel species (Rastrelliger spp.) and in

Khmer called Trey Kamong as shown in Figure 12 below.


5.5.8 Fisher ID 8: Moolgarda (Kbork) gill net Fisher ID 8 reported a total of 20 different identified aquatic species in the catch from the

mullet (Kbork) gill net. However as Figure 13 shows, just four species contributed 80 percent

of the total catch. These species were flathead grey mullet (Mugil cephalus) or Trey Kbork in

Khmer, an unidentified mullet species or Trey Kbork Preng in Khmer, the bluespot mullet

(Moolgarda seheli) or Trey Kbork Korngkang in Khmer and Trey Chy (X-other) in Khmer.

These four species accounted for 23, 23, 18 and 16 percent of the catch respectively.

22


5.5.9 Fisher ID 9: Moolgarda (Kbrok) gill net and hand push-net This fisher used two different gears named Kbork gill net and Hand Push Net to catch fish. In

total 29 different species were recorded according to the catch data for the period June 2012

to March 2013. However, two main species contributed 65 percent to the total catch. These

species were Trey Phtong Kam (Unidentify) in Khmer 20 percent and the bluespot mullet

(Moolgarda seheli) or Trey Kbork Korngkang 18 percent. Figure 14 shows that trash fish in

Khmer Trey Chy or Trey Cham Ros comprised the largest proportion by weight at 27 percent

of the total catch. This indicates that this gear was particularly unselective and has negative

impacts on aquatic stocks.

*Note: Other is the fish that share very small amount.


23

5.5.10 Fisher ID 10: Threadfin (Karav) and other fish gill nets Within the sample of 25 fishers, some used two different gears to catch fish depending upon

seasonal migration patterns, including Fisher ID 10. He used a Karav Gill net and a Fish Gill

net. Karav or trey karav is the Khmer name for the fourfinger threadfin fish. This fisher

designed his own gillnet to target trey kavav or fourfinger threadfin (Eleutheronema

tetradactylum) and that is the reason why this gill net was named the karav gill net. However,

the total reported catch was mixed with that from the Fish Gill net catch. Despite combining

the catch from the two gears the two main species caught were short mackerel and fourfinger

threadfin which constituted 63 and 36 percent of the catch respectively, as shown in Figure

15.


5.5.11 Fisher ID 11: Hand collection of Violet Vinegar Crab The fisher used this kind of gear to hand collect aquatic animals. However, the catch quanity

collected was much lower than for other gears. Since the beginning June 2012 to March

2013, the fisher only gathered a total of about 300 kg which was comprised of only two

species. As the Figure 16 shows, the Singapore vinegar crab (Episesarma singaporens) or

Kdam Chhor in Khmer which was the main target species comprised 88 percent of the total

catch, while mangrove mud crab made up the remainder of the catch.

24


5.5.12 Fisher ID 12: Crab trap Normally, the Crab Trap known as Mong Kdam in Khmer language targets both mangrove

mud and blue swimming crabs, which are both high value species. However, interestingly,

fisher ID 12 as Figure 17 shows caught only mangrove mud crab, which coincidentally

fetches a higher sale price than blue swimming crab.


5.5.13 Fisher ID 13: Hand collection of Common Geloina One more method that fishers can use to collect or harvest fisheries resources and especially

the common geloina (Polymesoda erosa) or Ngeav Phourk in Khmer is collection by hand as

fisher ID 13 did. He reported that collecting only mud clams as shown in Figure 18 below.

25


5.5.14 Fisher ID 14: Crab trap Like fisher ID 12, this fisher used crab traps and only caught mud crab as shown in Figure 19

below.


5.5.15 Fisher ID 15: Hand Collection of Common Geloina Like fisher ID 13 fisher ID 15 harvested only common geloina (Polymesoda erosa) as shown

in Figure 20.

26


5.5.16 Fisher ID 16: Shrimp and fish gill nets Although fishers ID 16 used two different gears to fish, this fisher caught only four different

species. 81 percent of the total catch consisted of an unidentified mackerel species or Trey

Kamong in Khmer, while Indian mackerel (Rastrelliger kanagurta) or Trey Kamong Khloun

Veng in Khmer, accounted for 14 percent of the catch, as shown in Figure 21.

Figure 21: Fisher ID 16: Catch proportion by species from June 2012 to March 2013

5.5.17 Fisher ID 17: Crab trap and fish gill net Like fisher ID 16, this fisher used two different gear types to catch aquatic animals but only

caught three different species. As Figure 22 shows, blue swimming crab comprised the

highest proportion of the catch at over 90 percent, while Indian mackerel contributing most of

the catch remainder at 10 percent.

27


5.5.18 Fisher ID 18: Shrimp and fish gill nets While fisher ID 18 caught 25 different species, a single species namely the unidentified

mackerel species or Trey Kamong in Khmer accounted for 77 percent of the total catch. All

other species were only a small proportion of the total catch as shown in Figure 23.


5.5.19 Fisher ID 19: Crab gill net Fisher ID 19 recorded 7 different species in his fisher logbook. As Figure 24 shows blue

swimming crab and mangrove mud crab were the main species caught by fisher ID 19 using

his crab gill net, at 86 percent and 7 percent respectively.

28


5.5.20 Fisher ID 20: Crab trap Crab traps are a fishing gear made to target crabs. Blue swimming crabs (63 percent) were the

main species caught by fisher ID 20. Mangrove mud crabs were also caught (5 percent). As

Figure 25 shows the spottedbelly rock crab (Ozius guttatus) or Kdam Pkor Lorn in Khmer

and an unidentified species or Kdam Phlet in Khmer each consisted of 13 percent of the total

catch by weight.


5.5.21 Fisher ID 21: Crab trap Unlike fisher ID 20, fisher ID 21 only caught crab species even though they were both using

the same kind of gear. Figure 26 below shows, blue swimming crab comprised 58 percent of

the total catch, followed by mangrove mud crab at 30 percent of the total catch and then the

swimming crab (Charybdis anisodon) or Kdam Sor in Khmer at 12 percent.

29


5.5.22 Fisher ID 22: Crab trap As shown in Figure 27, the total catch of crab trap reported by Fisher ID 22 was composed of

only three crab species namely blue swimming crab (63 percent), mangrove mud crab (24

percent), and the swimming crab or Kdam Sor in Khmer (13 percent).


5.5.23 Fisher ID 23: Fish gill net Fisher ID 23 reported 8 different identified aquatic species. However, as shown in Figure 28,

90 percent of the catch consisted of only two species namely Indian mackerel 66 percent, and

the Chacunda gizzard shad (Anodontostoma chacunda) or Trey kamoy in Khmer, 24 percent.

30


5.5.24 Fisher ID 24: Hand collection of blood cockle (Riev Kreing Chhiem) Fisher ID 24 collected only blood cockles (Anadara granosa) or Kreing Chheam in Khmer in

the coastal area during low tides. He used only a wooden sliding board to sit on and to move

across the mud flats from place to place in search of blood cockles in the mud along the CFi

coastline. As Figure 29 shows, 100 percent of his reported catch was blood cockles.


5.5.25 Fisher ID 25: Crab gill net As Figure 30 shows, the crab gill net of fisher ID 25 caught not only crabs, but also fish

species. 62 percent of the catch was made of two species of crabs namely the blue swimming

crab (Portunus pelagicus) and the mangrove mud crab (Scylla serrata) which comprised 48

and 14 percent of the catch respectively.

31


5.6. Monthly average prices at landing sites by species by fisher Daily prices per kilogram of all species captured by all fishers at the landing sites were

recorded. Average monthly prices per kilogram of each aquatic species were then calculated.

The average monthly prices by aquatic species varied slightly between months over the study

period. The detailed monthly average prices of all aquatic species reported by the 25 selected

fishers at fish lending sites are given in Annex 7 of this report.

5.7. Frequencies versus average maximum length by fisher by species Data on average maximum lengths by species are provided as Annex 8 of this report. They

serve as an important baseline data which can be referred to see if the average maximum fish

length of key aquatic species being caught decreases over time, which would be an indication

of declining stock health. Below Table 6 gives a comparision of the average maximum length

data from 2011 and the 2012-13 data for a few key inshore aquatic species taken by a few

main small-scale fishing gear types. 4 of the 9 key indicator species has a smaller average

maximum size in 2011 than in 2012-13, while the converse was true for 5 of the 9 key

indicator species. The average maximum size of threadfin more than doubled in the second

year of sampling. FiA need to confirm if this was because of a sampling method error or if

this is real. Unfortunately the data in Table 6 covers too short a time series to identify any

trends (up or down) in average maximum aquatic species size, and so it is too soon as yet to

comment on the health of the key indicator species.

Table 6: The comparision of average maximum length (cm) of the key aquatic species

English name Main Species 2011 2012-2013

Crab trap/Crab gill net Blue swimming crab 10.2 9.9

Hand collection of Singapore

vinegar crab

Singapore vinegar crab

5.0 6.1

Fish gill net Kamong kloun Khley 9.1 10.3

Karav (threadfin) gill net Threadfin 17.9 40

32

Kabork (mullet) gill net Bluespot mullet 19.5 23.9

BangKea gill net Bongkea sor 7.1 4.6

Wedge-shaped scoop basket Bangkea phouk 8.9 6.6

Hand collection of common

geloina Common geloina 6 9

Hand collection of blood

cockle Blood cockle 4.8 3.5

It is also worth noting that under the current fisheries law of Cambodia, the sizes of aquatic

animals to be harvested are determined by the proclamation of the Minister of Agriculture,

Forestry and Fisheries as stated in Chapter 5, article 23. However, there is currently no

proclamation detailing the minimum size restrictions of aquatic species caught despite the

fact that sub decree (signed on August 12, 2009) identifies 58 endangered aquatic animals

including 29 marine fish, reptile and mammal species and specifies which freshwater and

marine animals are banned from being transported or traded unless they are being farmed or

are in compliance with the domestic fisheries law and the Convention on International Trade

in Endangered Species of Wild Fauna and Flora (CITES), which Cambodia ratified in 1997.

6. Conclusions This ten month study provides some essential baseline data provided by 25 coastal small-

scale fishers using 11 different gear types in the coastal inshore waters of Cambodia. Fishing

was the main livelihood and income source of the 25 selected fishers which were from five

coastal CFi’s of Kep, Kampot, Preah Sihanouk and Koh Kong Provinces. Data on species

diversity, gear selectivity, total catch weight and value, catch weight and value by species,

average actual fishing time in hours per fishing trip, prices of marine aquatic fish and other

aquatic species caught, as well as the maximum length frequencies of species captured were

recorded from June 2012 to March 2013. The major survey findings were:

• More than 100 marine aquatic species were reported by the 25 selected fishers involved

in this study. The species caught varied according to the different types of fishing gears used,

the location was fishing was conducted, and the season. Data on the total catch weight and

value, and by species, and prices, as well as the average maximum length of all species were

collected, entered onto a computer in an Excel spreadsheet, checked for accuracy and

analysed and are now available in Annexes 1 – 8 of this report.

- Some fishing gears were highly selective and resulted in virtually no by-catch. They

included crab traps, and hand collection of blood cockles.

- Some fishing gears such as crab gill nets, fish gill nets and hand collection with

supplementary equipment was moderately selective, capturing around 10 aquatic

species or less, and usually with only limited by-catch.

- Other fishing gears such as different types of fish gill nets and the hand push net used

particularly in sea grass beds were highly unselective and destructive, capturing more

than 30 different aquatic species and usually with significant proportions of other.

- The overall average time that fishing gear was in the water was 9.4 hours though there

was significant variation between fishing gears, fishers and trips.

- Fish gillnets were set for an average of 5.8 hours per fishing trip and caught around

73.4 kg of aquatic products with a total value of around Riel 158,000 (US$ 39.5).

- Crab trap fishers set their traps for an average of 10.3 hours, and caught an average of

9.1 kg of crabs, with a total average value of about Riel 98,700 (US$ 24.7).

33

- Hand push-netting is practiced especially in Kep and Kampot Provinces. Hand

pushnet fishers typically worked for 5.5 hours per expedition and caught around 3.9

kg of aquatic products with a value of 21,000 (US$ 5.3) in average each fishing trip.

- The overall average catch and value at landing sites per fishing trip were around 20.8

kg of aquatic products worth Riel 95,500 (US$ 23.9) though again there was

significant variation across fishing gears, locations, fishers and season.

- There is currently no specification in Khmer law of the minimum sizes that can be

harvested for key aquatic species captured in the inshore waters of Cambodia.

- Having no minimum harvest sizes in Khmer legislation is no reason for inactivity, as

inshore fish stocks in the waters of Cambodia are already very likely over-fished. FiA

should therefore adopt a precautionary approach to inshore fisheries management. As

a starting point the minimum harvest sizes of key inshore marine aquatic species

currently used in Thialand, should be considered for inclusion of Khmer legislation.

Additionally FiA should encourage CFis to voluntarily use the same minimum harvest

sizes which Thailand currently uses.

- Piloting of inshore catch monitoring by fishers has been conducted with RFLP

support for 2 years, but longer time series data is required before trends in the average

maximum size of key indicator species taken by the main small-scale fishing gear

types will be seen and can be used as a proxy indicator of inshore aquatic species and

ecosystem health. It is recommended therefore that FiA continue the existing system

for several years and then to evaluate the results and cost effectiveness.

7. Suggestions for further studies

This study is entirely dependent on catches reported by fishers. However better off fishers

often change their fishing gear types in accordance with seasons and the migration behaviour

of the different target species. This results in problems as the fishers often report their

combined catch for all the fishing gear types they have used, rather than separate the data,

which takes more effort.

In addition, the number of fishing gears used often fluctuates because of various reasons

including theft, loss during heavy storms, seasonality of species occurring at specific

locations, the availability of crew and many other factors. All the aforementioned factors

make calculation of CPUE difficult to allow calculation across gear types. For this reason

throughout this study, calculations were therefore made based on “a fishing trip basis” rather

than on “a unit of fishing gear used”. For further study, therefore, standardized fishing gear

units should be used to provide standard sampling that will give a better understanding of

CPUE per gear type. Moreover, in order to be able to extrapolate the study findings to other

areas of Cambodia, the sampling sites should be more geographically representative of the

coastal areas of Cambodia and cover a greater range of different fish habitat types and

ecosystems. For instance, fishers expect to catch different aquatic and fish species in

mangrove forests, in sea grass beds and in coral reef areas.

This study focuses only on the reported catch and value by species of individual fishers. No

data was collected on the socio-economic status of fishers that collected the study data or the

fisher families to which they belonged. Very little environmental data was collected during

this survey, though environmental parameters would have been relevant and would have

affected this study.

34

The data and information reported in this study should be presented back to the 5 pilot CFi

members and especially to those directly involved in recording and reporting the data. This is

important, as it will give the research team and the fishers an opportunity to provide feedback

and validate the findings. Also, it is important that data from this study are used by the pilot

CFi committees to better plan and monitor and understand the catch status in their CFi

waters.

Finally yet importantly, a field guide containing the majority of marine aquatic species with

their proper local Khmer names, common English names, and scientific names and a brief

description on the identification of the species should be produced and made available, as this

type of field guide would be very useful for this type of research. Currently marine field

guides only exist in Cambodia for the most common key main marine aquatic species. A large

number of marine species remain to be properly classified and documented.

The average maximum length of aquatic species reported by fishers over time is likely to

provide good proxy information about aquatic stock health a lot quicker and more cheaply

than waiting for accurate CPUE data. This however requires that the government of

Cambodia and FiA invest funds in continuing this study until the time series data indicate

trends in average maximum sizes of key aquatic species caught by the main small-scale gear

types which indicate the health of key aquatic stocks and therefore give direction for fisheries

management decision makers.

35

Annex 1: Fisher logbook

Cover Page

Fishing Logbook

(Local Language)

Fisher name: …………................ Village: .......................... Commune: ………………………

District: ………………………………… Province: ………………………………………….

Name of Community Fisheries: …………………………………

Fisheries Administration, # 185 Preah Norodom Blvd., Khan Cham P.O.Box 582, Phnom

Penh Cambodia.

KeRmagfñak;tMbn;sþIBIkarciBa©wmCIvitEp¥kelIFnFanClpl

The Regional Fisheries Livelihoods Programme for South and Southeast Asia (RFLP) - Cambodia

36

Fisher Catch Monitoring Form

Date (DD/MM/YY) ..…….. / ………… / 2011

Did you go fishing today? Yes No, Why: …………………………………………….

Fishing Gear: ………… Length ………… m, Width: ……………m, Height ..………… m,

Mesh or hook size: …… cm Units: …, Type of transport: ............ Engine power: …..…HP

Days of fishing: Start (DD/MM/YY): …../ ..…./ …. End: …..…/ ……… / ……………

Time of fishing: Start (HH:MM): …………. End: ….......... Hours fishing: …………..

Habitat or place of fishing: ……………………………….........................................................

Total Catch: …………………….. kg. Catch sampled? (if applicable): ………………….kg

Weather condition: Clear sky, Cloudy, Raining, Storms, Tide-up, Tide-down

Catch by species

Species code Local name Number of

heads

Weight (g) Maximum

total length

(cm)

Sample?

Yes No

37

Annex 2: Name of fishers and their fishing gears used in five target community fisheries

Fisher ID Fisher Name Community Fisheries Province

1 Teng Chin Okrasa Kep

2 Suy Thorn Okrasa Kep

3 Leat Choeun Okrasa Kep

4 Pruom Thorn Okrasa Kep

5 Koem Khan Okrasa Kep

6 Tit Rin Trapiang Ropov Kampot

7 Sos Set Trapiang Ropov Kampot

8 Loos Sades Trapiang Ropov Kampot

9 Mat Srey Trapiang Ropov Kampot

10 Rem Mi Trapiang Ropov Kampot

11 Khan Ratha Chumpou Khmao Preah Sihaknouk

12 Chhoeun Phal Chumpou Khmao Preah Sihaknouk

13 Thy Ra Chumpou Khmao Preah Sihaknouk

14 Orn Eam Chumpou Khmao Preah Sihaknouk

15 Kun Sarun Chumpou Khmao Preah Sihaknouk

16 Hem Cheangpa Tomnoup Rolork Preah Sihaknouk

17 Khoem Seth Tomnoup Rolork Preah Sihaknouk

18 Preab Channtrey Tomnoup Rolork Preah Sihaknouk

19 Hak Nary Tomnoup Rolork Preah Sihaknouk

20 Seng Chhinlong Tomnoup Rolork Preah Sihaknouk

21 Ly Cheik Koh Kchong Koh Kong

22 Touch Vorn Koh Kchong Koh Kong

23 Chhuon Kea Koh Kchong Koh Kong

24 Kea Hin Koh Kchong Koh Kong

25 Heang Mom Koh Kchong Koh Kong

38

ID Gear Length (m) Width (m) Depth(m) Meshook

Size (mm)

Gear Unit Transport Engine

power (HP)

1 Cchhnieng Chunhchoat 0.7 0.8 0.3 1 Thmer

chherng

2 Mong Kdam 800 0.8 9 1 Touk 13

1,000 0.5 9 1 Touk 13

3 Lop Kdam 0.6 0.3 0.2 3.5 200 Touk 5.5

0.5 0.3 0.15 4 200 Touk 5.5

4 Mong Trey 600 1.5 4 1 Touk 7.5

5 Chheb Runh Dai 4 5 1.5 1.5 1 Thmer

chherng

6 Lop kdam 0.43 0.14 0.25 3.5 500 Touk 6.5

7 Mong Trey 1,500 3 4.5 1 Touk 13

8 Mong Kbork 150 2 3 1 Touk chev

9 Mong Kbork 150 3 3.5 1 Touk chev

Chheb Runh Dai 4 5 1.5 1.5 1 Thmer

chherng

10

Mong Karav 220 3 8 1 Touk 13

150 6 5 1 Touk 13

Mong Trey 150 6 3.5 1 Touk 13

160 3 3.8 1 Touk 13

11 Chab Kdam Chhor Touk chev

12 Lop kdam 0.4 0.25 0.15 3.5 50 Touk chev

13 Riev Ngeav Phourk Touk chev

14 Lop Kdam 0.4 0.25 0.15 3.5 60 Touk chev

15 Riev Ngeav Phourk Touk chev

16 Mong Trey 800 2.5 1 1 Touk 22

39

ID Gear Length (m) Width (m) Depth(m) Meshook

Size (mm)

Gear Unit Transport Engine

power (HP)

Mong BangKea 1,050 1.5 4 1 1 Touk 22

17 Lop Kdam 0.5 0.3 0.25 3.5 800 Touk 20

Mong Trey 950 2.5 4 1 Touk 20

18 Mong Trey 1,890 2 3.8 1 Touk 20

19 Mong Kdam 4,860 1.25 8 1 Touk 24

20 Lop Kdam 0.5 0.3 0.25 3 560 Touk 8

21 Lop Kdam 0.45 0.25 0.15 4 300 Touk 6.5

22 Lop Kdam 0.45 0.25 0.15 4 400 Touk 6

23 Mong Trey 300 3 3.8 1 Touk 6.5

24 Riev Krieng Chhiem Thmer

chherng

25 Mong Kdam 750 1 8 1 Touk 8

40

Annex 3: Average weight (Kg) and value (Riel) per fisher per trip (ranking according to value at the landing

site)

Fisher

ID

Average

weight (Kg)

Average

value (Riel)

Average time spent per

fishing trip (hour)

1 4.9 28,849 4.2

2 16.0 40,705 11.3

3 4.3 25,653 5.5

4 8.4 25,608 6.1

5 3.0 18,228 4.8

6 15.6 42,309 10.8

7 93.4 4,984 6.0

8 6.6 8,650 6.4

9 8.9 8,211 7.3

10 15.0 12,021 5.7

11 1.9 19,281 7.5

12 2.4 14,992 8.9

13 12.5 1,041 7.9

14 2.0 21,511 7.5

15 9.9 908 8.3

16 120.9 20,333 8.7

17 15.7 46,048 10.3

18 113.5 10,011 5.7

19 36.1 43,916 47.9

20 19.2 26,154 18.1

21 10.9 29,113 11.7

22 10.3 17,544 11.8

23 37.2 2,265 4.8

24 1.4 5,043 4.8

25 8.0 54,090 18.9

Average 20.8 20,377 9.3

41

Annex 4: Monthly catch (Kg) and value (Riel) by fisher (ranked by value)

I

D

Catch (Kg) Value (Riel)

Ju

n-

12

Jul

-12

Au

g-

12

Se

p-

12

Oc

t-

12

No

v-

12

De

c-

12

Ja

n-

13

Fe

b-

13

M

ar-

13

Tot

al

Jun-

12

Jul-

12

Aug-

12

Sep-

12

Oct-

12

Nov-

12

Dec-

12

Jan-

13

Feb-

13

Mar

-13 Total

1 12

1.7

88.

8

11

7.2

13

1.6

58.

1

60.

9

30.

9

72.

7

65.

3

11

9

866

.15

591,8

00

235,0

00

779,0

00

666,0

00

447,4

00

602,0

00

274,0

00

401,5

00

546,0

00

477,

000

5,019,

700

2 17

9.3

26

4

18

9.6

16

1.5

25

1.3

33

4.5

14

7.5

38

8

23

7.3

18

6

233

9

333,5

00

506,5

00

552,5

00

473,0

00

876,0

00

981,5

00

416,0

00

719,0

00

764,0

00

321,

000

5,943,

000

3 11

8.7

11

1.6

11

7.5 89

12

3.5

12

3

75.

5

10

2.5

48.

3 16

925

.55

116,9

500

1,106,

500

897,0

00

485,0

00

526,5

00

314,5

00

215,0

00

454,5

00

219,0

00

51,0

00

5,438,

500

4 47

2.1

14

6.1

11

3.4

94.

6

17

4.5

20

1.6

16

4.3

15

4.3

16

2.2

10

5.7

178

8.8

840,3

00

534,5

00

432,0

00

293,0

00

671,5

00

438,0

00

716,0

00

606,0

00

623,0

00

274,

500

5,428,

800

5 41.

5

41.

5

55.

4

56.

1

50.

7

52.

3

60.

2

63.

2

41.

4

32.

6

494

.9

247,1

00

290,5

00

425,0

00

411,0

00

319,0

00

330,5

00

350,0

00

257,0

00

225,5

00

152,

100

3,007,

700

6 13

0.9

58.

7

23

2.3

25

5

50

4.2

45

8.7

73

8.2

46

1.8

19

9.2

11

2.3

315

1.3

541,5

00

129,3

00

689,9

00

1,014,

500

1895,

000

1,557,

000

705,0

00

1021,

500

548,2

00

444,

500

8,546,

400

7 28

42

25

37

20

90

23

10

23

40

17

75

16

30

19

10

19

95

24

28

218

57

109,0

00

134,5

00

123,8

00

136,1

00

142,5

00

112,0

00

107,0

00

116,5

00

109,8

00

75,0

00

1,166,

200

8 16

6.9

18

3.2

10

1.2

10

0.3

11

6.2

15

5.8

80.

2

17

5.9

10

3.6

12

1.4

130

4.6

148,0

00

229,7

00

202,9

00

21,90

00

194,0

00

178,0

00

114,5

00

134,0

00

190,9

00

93,0

00

1,704,

000

9 10

9.4

12

8.6

15

8.7

46

8.3

20

1.1

21

0

25

2.3

21

8.3

19

6.6

72.

5

201

5.8

153,0

00

285,5

00

158,0

00

105,7

00

191,5

00

17,10

00

311,0

00

189,0

00

175,5

00

115,

500

1,855,

700

1

0

11

74

23

5

16

1.5

12

7

17

9.5

15

5

12

2

10

4

16

3

94

2

336

3

499,0

0

30,20

00

402,0

00

360,0

00

410,0

00

309,0

00

269,0

00

294,0

00

267,0

00

29,9

00

2,692,

800

1

1

31.

1

65.

3

50.

2

41.

1

31.

9

19.

2

17.

3

74.

7

27.

5

34.

9

393

.2

263,0

00

66,40

00

484,0

00

526,0

00

525,0

00

356,0

00

168,0

00

336,0

00

330,0

00

262,

000

3,914,

000

1

2 54

77.

9

53.

05

62.

7

61.

6

74.

7

69.

5

63.

8

65.

1

45.

8

628

.15

444,0

00

562,0

00

491,0

00

414,0

00

341,0

00

337,0

00

342,0

00

344,0

00

275,0

00

318,

000

3,868,

000

1

3

35

9

43

0

44

3

32

6

21

6

30

0

20

9

50

0

29

6.6

22

4.4

330

4

18,00

0

25,20

0

27,00

0

24,30

0

29,00

0

30,00

0

29,00

0

49,90

0

28,00

0

13,5

00

273,90

0

1

4

47.

1

72.

5

53.

23

38.

55

49.

4

57.

7

55.

3

67.

5

61.

5

43.

9

546

.68

504,0

00

742,0

00

876,0

00

664,0

00

535,0

00

534,0

00

588,0

00

508,0

00

455,0

00

402,

000

5,808,

000

1

5

33

5

30

4 34 31

31

3

29

3

33

0

37

5

28

4

29

9.5

259

8.5

18,00

0

27,00

0

28,60

0

27,40

0

24,30

0

23,40

0

26,10

0

27,90

0

20,70

0

13,5

00

236,90

0

42

I

D

Catch (Kg) Value (Riel)

Ju

n-

12

Jul

-12

Au

g-

12

Se

p-

12

Oc

t-

12

No

v-

12

De

c-

12

Ja

n-

13

Fe

b-

13

M

ar-

13

Tot

al

Jun-

12

Jul-

12

Aug-

12

Sep-

12

Oct-

12

Nov-

12

Dec-

12

Jan-

13

Feb-

13

Mar

-13 Total

1

6

24

54

12

76

83

1

67

9

12

2

11

89

52

74

14

00

91

7

42

49

183

91

52,45

0

182,1

00

594,0

00

443,6

00

602,0

00

441,0

00

25,00

0

285,1

00

267,7

00

197,

700

3,090,

650

1

7

64

9.3

43

0

44

1

44

5

36

7

34

7

35

1

27

6

34

1

19

9

384

6.3

198,0

00

794,7

00

1,644,

000

1,738,

500

907,0

00

889,0

00

2,155,

000

1,207,

500

754,5

00

947,

500

11,235

,700

1

8

99

5

13

87

83

0.5

18

93

25

58

26

24

25

13

10

67

21

38

14

84

174

89

21,00

0

286,7

00

279,0

00

80,86

2

309,6

00

213,6

00

69,10

0

51,90

0

209,2

00

20,7

00

1,541,

662

1

9

21

7.9

41

1.5

35

0.5

43

8.5

50

4.5

53

9.9

30

2.8

27

0.2

51

8.9

23

6.8

379

1.5

207,5

00

307,0

00

439,0

00

405,0

00

633,0

00

481,1

00

780,0

00

670,0

00

481,1

00

207,

500

4,611,

200

2

0

40

5

36

9.5

14

6.1

24

3.9

13

3.3

26

7.2

43

9.8

47

3.4

22

7.8

23

6.4

294

2.3

226,1

00

296,5

00

688,0

00

406,0

00

308,5

00

607,0

00

420,3

50

363,4

00

507,0

00

178,

750

4,001,

600

2

1

25

3.2

23

0.4

42

5.9

29

2.4

30

8.6

19

1.4

29

4.1

40

6.9

18

3.8

12

1.8

270

8.5

630,0

00

1,013,

000

762,5

00

768,5

00

795,0

00

583,0

00

768,5

00

821,5

00

530,0

00

519,

000

7,191,

000

2

2

19

3.9

22

5.5

18

1.8

14

3.7

12

0.4

17

8

77

2.6

67

9.9

11

2

88.

4

269

6.2

365,4

00

751,4

00

621,0

00

596,8

00

621,0

00

373,3

00

258,5

00

436,0

00

242,0

00

296,

000

4,561,

400

2

3

23

8

25

6.9

39

7.2

47

0.5

87

0

15

17

18

35

55

2

14

15

15

9.3

771

0.9

83,60

0

48,50

0

64,00

0

69,00

0

50,50

0

22,20

0

30,00

0

35,30

0

18,60

0

47,1

00

468,80

0

2

4

18.

1

27.

2 4.8

22.

3

11.

5

13.

4

27.

8

33.

4

11.

3

26.

8

196

.6

65,00

0

85,00

0

20,00

0

11,00

00

55,00

0

55,00

0

96,00

0

105,0

00

40,00

0

75,0

00

706,00

0

2

5

15

6

15

9.6

17

4

17

0.7

18

7.3

20

3.9

28

1.6

22

5.5

18

5.4

99.

4

184

3.4

509,5

00

585,0

00

1,110,

000

1,611,

000

1,620,

000

1,633,

500

1,663,

500

1,745,

000

1,308,

500

600,

500

12,386

,500

43

Annex 5: Monthly catch (Kg) by species and by fishers, ranking according to total catch over the period from April to November 2011

Local Name Scientific Name Jun-12 Jul-12 Aug-12 Sep-12 Oct-12 Nov-12 Dec-12 Jan-13 Feb-13 Mar-13 Total

ID 1

121.7 88.8 117.15 131.6 58.1 60.9 30.9 72.7 65.3 119 866.1

Bangkea Kleung Penaeus latisulcatus 1.45 3.2 2.8 0.7 1 0.4 2.7 12.25

Bangkea Para Penaeus semisulcatus 0.2 0.2

Bangkea Phork (blank) 0.5 2.5 10.3 11.3 7.7 7.5 2.5 6.2 0.6 49.1

Bangkea Sor (blank) 9.1 0.7 11.8 15.5 8.5 8.4 14.4 15.8 17.1 12.5 113.8

Kchong Chak (blank) 3 3

Kdam Ses Portunus pelagicus 1 0.4 1.1 0.9 2.1 2.2 2 2 11.7

Kdam Thmor Scylla serata 0.4 0.6 1.6 0.7 1.6 0.7 0.6 1.9 8.1

Kompron (blank) 1 0.7 0.5 1.3 3.5

Ngeav Phourk Polymesoda erosa 0.4 3 3.4

Phy (blank) 64 74.6 59.8 66.5 21 19.8 4 23.3 13.1 49.4 395.5

Trey Anderng (blank) 1.1 1.4 0.5 1.6 4.6

Trey Chnok (blank) 1 1.5 1.2 3.7

Trey Chy (blank) 1.5 1.7 1 4.2

Trey Damlong (blank) 7.55 1 6.6 2 3.6 4.5 1.5 16.7 5 9.3 57.75

Trey Do Angkor Gerres abreviatus 1 1

Trey Kamong (blank) 0.3 0.3

Trey Kanchanh Chras Gnathodentex

aurolineatus 1 1.2 0.5 1.2 3.9

Trey Katang phleung Siganus guttatus 0.3 0.3

Trey Kbork (blank) 2 0.3 3.5 14.7 2.8 1.2 3.4 2.4 30.3

Trey Khei/proy veng Pentaprion longimanus 0.3 1 1.2 0.5 3

Trey Kranh Lobotes surinamensis 2.2 0.3 3.2 5.7

Trey Krok (blank) 0.2 0.2

Trey Mrech (blank) 13 4.4 12.4 3.9 6.6 6.2 0.5 3 4.1 16 70.1

Trey Pas (blank) 0.5 0.5

Trey Phtong Prort Tylosurus acus

melanotus 2.5 2.6 5.1

Trey Prolong (blank) 0.6 0.6

Trey Prorkong (blank) 15.1 0.8 3.35 6.1 3.9 5.3 0.3 8.1 4.3 15.8 63.1

44


Trey Sach (blank) 2.1 0.5 0.5 1.3 0.5 2.1 1.4 2.9 11.3

ID 2 179.3 264 189.6 161.5 251.3 334.5 147.5 388 237.3 186 2339

Kchong Doung Melo melo 6.5 42.5 26.5 6 19.5 31 3 18.5 19.2 29 201.7

Kchong Thnout Conus vexillum 46.5 81 74.5 67.5 83.8 119 65.5 147 74.7 57.6 817.1

Kdam Ses Portunus pelagicus 125 138 74.3 88 111.4 155.5 71.5 182 104.2 96.9 1146.8

Trey Borbel (blank) 2 18.8 11 19.4 51.2

Trey Chhlam Chhkout Chiloscyllium griseum 1.3 2.5 12.3 2.5 18.6

Trey Chlam (blank) 17.8 18 7.5 40.5 19.8 103.6

ID 3 118.65 111.6 117.5 89 123.5 123 75.5 102.5 48.3 16 925.55

Bangkorng Chma (blank) 0.5 28.8 8.5 12 2.5 5.8 6 64.1

Bangkorng Pak (blank) 3.25 3 6.25

Bangkorng Sor (blank) 43.7 36.5 9.5 89.7

Kdam Khla (blank) 2.5 2.3 4.8

Kdam Krohorm (blank) 0.5 1.7 28.2 22.5 36 18.5 29.2 25 161.6

Kdam Neak Charybdis natator 7.4 2.05 9.45

Kdam Ses Portunus pelagicus 39.6 48.4 60.5 58 75.5 102 40.5 71.5 45.4 541.4

Kdam Skor Krorb Matuta victor 6.6 3.2 9.8

Kdam Sor Charybdis anisodon 10.8 9.4 2.9 6.5 29.6

Kdam Thmor Scylla serata 1 0.75 1.75

Trey Anlong (blank) 3.8 3.8

Trey Kor Khmao (blank) 3.3 3.3

ID 4 472.05 146.1 113.4 94.6 174.5 201.6 164.3 154.3 162.2 105.7 1788.75

Kdam Ses Portunus pelagicus 3.1 3.1

Trey Anderng (blank) 9.5 1.2 1.3 12

Trey Ang Re Sphyraena putnamae 19.8 9.6 4.5 2.5 18.1 8.4 18 1.4 19.7 3.8 105.8

Trey Chek Seriolina nigrofasciata 1 1

Trey Chhlam Chhkout Chiloscyllium griseum 3 3

Trey Chlam (blank) 1.3 1.3

Trey Do Angkor Gerres abreviatus 160.9 29.9 29 26.3 34.9 33.7 31.8 28.1 30.6 23.8 429

Trey Kaheav Alepes vari 29.4 7.7 7 8.5 33.8 10.7 14 11.4 5.4 127.9

Trey Kamong Khloun

Veng Rastrelliger kanagurta 3 3

Trey Kamoy Anodontostoma 2.7 2.7

45


chacunda

Trey Katang Kra-ob Siganus canaliculatus 2.7 7.4 3.3 12.2 4.5 30.1

Trey Katang thmor Siganus javus 1.3 16.5 21.5 9.3 11.7 9.3 69.6

Trey Kor Khmao (blank) 24.2 17.5 15.7 16.9 19 93.3

Trey Krohorm Lutjanus malabaricus 12.7 31.2 1.6 2.8 1.5 49.8

Trey Krohorm Sroka

Kras Scolopis taeniopterus 58.9 21.6 11.6 2.7 4.1 15.9 9.9 13 15.6 153.3

Trey Krorb khnol Lethrinus nebulosus 55.8 24.7 28.7 22.6 32.5 27.8 30.4 26.4 29.5 17.5 295.9

Trey Prolong (blank) 24.7 4.8 8.6 5.8 23.6 34 24.9 23.9 23.1 3.7 177.1

Trey Prorlos Sillago sihama 65.35 19.2 4 4.3 23.6 11.2 13.5 18.1 15.5 10.4 185.1

Trey Udouy Selaroides leptolepis 9 3.7 7 16.7 7.3 2 45.7

ID 5 41.5 41.5 55.4 56.1 50.7 52.3 60.2 63.2 41.4 32.6 494.9

Bangkea Sor (blank) 19.5 12.2 22.1 20.2 23.7 29.7 36.75 39.3 21.1 12.9 237.5

Kdam Ses Portunus pelagicus 4 2.5 3.7 3.1 1.2 1.9 0.8 1.4 3.2 21.8

Kdam Thmor Scylla serata 0.3 0.8 0.4 1.5

Meuk (blank) 0.4 0.2 0.3 0.9

Meuk Dong Sepiola sp. 2.2 1.3 1.7 0.8 1.5 7.5

Trey Andeng Poy (blank) 1.5 1 2.4 2.7 1.6 9.2

Trey Chomros (blank) 7.4 5.6 6.2 19.2

Trey Damlong (blank) 4 9.3 11.2 11.1 11.8 5.5 8.3 10 5.5 5 81.7

Trey Katang Kra-ob Siganus canaliculatus 1 9.85 11.65 1.2 1.1 24.8

Trey Katang thmor Singanus virgatus 1.5 8.2 12.9 7.4 8.5 13.9 6.9 59.3

Trey Mrech (blank) 2 1.1 0.4 3.5


melanotus 2.4 3 8 2.7 16.1

Trey Throm (blank) 6.9 4.6 11.5

Trey Trosok Terapon theraps 0.3 0.3

ID 6 130.85 58.7 232.34 255.0 504.2 458.7 738.2 461.8 199.2 112.3 3151.3

Bangkea Sor (blank) 2.4 66 59.25 61.9 69.2 43.2 74.6 58.7 31.1 466.3

Bangkorng (blank) 0.6 9.7 8.2 3.6 5.9 28

Bangkorng Lekh (blank) 1.05 0.1 1.15

Bangkorng Sor (blank) 24.1 2.5 26.6

Kdam Katray (blank) 2 2

46


Kdam Ses

Portunus pelagicus 101.7 53.7 164.34 187.39 429.2 376.9 596.1 332.8 138.4 73.8 2454.3

Kdam Thmor Scylla serata 1.3 2 6.8 3.4 1.2 14.5 9.7 2.1 6.2 47.2

Meuk (blank) 1 3.2 80.8 38.8 1.2 125

Trey Karav Eleutheronema

tetradactylum 0.7 0.7

ID 7 2842 2537 2090 2310 2340 1775 1630 1910 1995 2428 21857

Trey Beika Auxis thazard 2 2 4

Trey Chy (blank) 10 10

Trey Kamong (blank) 1675 1510 1455 4640

Trey Kamong Khloun

Khley Rastrelliger brachysoma 1560 1735 100 1870 1510 1470 1630 1450 11325

Trey Kamong Khloun

Veng Rastrelliger kanagurta 860 680 1540

Trey Krohorm Lutjanus malabaricus 277 415 390 50 540 1672

Trey Krohorm phneak

thom

Priacanthus

macracanthus 20 30 50

Trey Krohorm Sraka

Reung

Nemipterus

nematophorus 300 235 145 40 160 880

Trey Krohorm Sraka

Tun Nemipterus furcosus 220 495 235 120 70 120 210 1470

Trey Krorhorm Kbalkor (blank) 180 86 266

ID 8 166.9 183.16 101.15 100.3 116.2 155.8 80.2 175.9 103.55 121.4 1304.56

Kdam Thmor Scylla serata 0.7 0.7

Trey Ang Re Sphyraena putnamae 12.6 7.3 19.9

Trey Borbel (blank) 0.5 0.5

Trey Chy (blank) 2 28.9 25.5 41.4 9.6 22.7 44.8 29.8 204.7

Trey Kanchanh Chras Gnathodentex

aurolineatus 26 9 13.8 48.8

Trey Ka-ok Kbal Heang Osteogeneiosus militaris 0.6 2.2 8 2.2 13

Trey Kapal (blank) 2.8 2.8

Trey Katang Kat Acanthurus lineatus 5 3 10.5 9.7 6 34.2

Trey Katang phleung Siganus guttatus 1.6 18.8 13.9 1 4.5 39.8

47


Trey Katang prorpesh Siganus argenteus 1.5 1.5

Trey Katang thmor Singanus virgatus 1 1.2 1.5 2 5.7

Trey Kbork (blank) 113.4 110 81.4 304.8

Trey Kbork Korngkang Moolgarda seheli 15.96 58.35 64.8 1.7 7 9.8 17.9 60.35 235.86

Trey Kbork Preng (blank) 28.2 118 46.7 107.5 300.4

Trey Khei/proy veng Pentaprion longimanus 18 36.7 14.7 69.4

Trey Kontuy reung (blank) 2 2

Trey Mrech (blank) 1.5 2 3.5


melanotus 1 1.5 2.5

Trey Prorkong (blank) 1 1

Trey Prorlos Sillago sihama 2 11.5 13.5

ID 9 109.4 128.6 158.7 468.3 201.1 210 252.3 218.3 196.6 72.5 2015.8

Bangkea Sor (blank) 11 81 28.5 53 4 8.9 186.4

Kdam Ses Portunus pelagicus 0.5 0.5

Kdam Thmor Scylla serata 0.55 0.2 0.9 0.3 0.5 2.45

Trey Ang Re Sphyraena putnamae 0.5 1 1.5

Trey Chy (blank) 2 68 108 87 79 58.8 68 81.5 552.3

Trey Ka Chy Diagramma pictum 0.3 0.3 0.6

Trey Ka-ok Chhojing (blank) 0.3 24.8 25.1

Trey Ka-ok Kbal Heang Osteogeneiosus militaris 2.2 14.6 7 23.8

Trey Karav Sleuk (blank) 8 8

Trey Katang prorpesh Siganus argenteus 9.5 0.8 14.7 1 6.8 32.8

Trey Katang thmor Singanus virgatus 5.4 0.2 2.5 15 3 10.5 3.5 40.1

Trey Kbork (blank) 6 2 8

Trey Kbork Angkam Moolgarda buchanani 100.5 50.05 34.6 185.15

Trey Kbork Korngkang Moolgarda seheli 2.2 3 7.5 61.9 44 119.6 60 61.2 359.4

Trey Kbork Preng (blank) 8 4 60 72

Trey Kbork Sor (blank) 0.7 0.9 1.6

Trey Koh (blank) 0.6 0.6

Trey Krohorm Sraka

Reung

Nemipterus

nematophorus 0.5 0.5

Trey Mrech (blank) 1 1

48


Trey Phtong Kao (blank) 1 1.5 2.5

Trey Phtong Kunkat (blank) 14 8 19 15 56

Trey phtong phka Hemiramphus far 28 13.2 41.2

Trey Phtorng Kam (blank) 4 4.2 308 30.5 24 4 29.5 404.2

Trey Phtoung Koh (blank) 0.6 2 2 4.6

Trey Prorlos Sillago sihama 0.5 1 2 2 5.5

ID 10 1174 235 161.5 127 179.5 155 122 104 163 942 3363

Kdam Thmor Scylla serata 0.5 0.5

Trey Kamong Khloun

Khley Rastrelliger brachysoma 1137 50 928 2115


tetradactylum 3 185 161.5 127 179 155 122 104 163 3 1202.5

Trey Khei/proy veng Pentaprion longimanus 34 11 45

ID 11 31.1 65.3 50.2 41.1 31.9 19.2 17.3 74.7 27.5 34.9 393.2

Kdam Chhor Episesarma singap0rens 27 57.2 45.7 37 27.7 16.3 15.6 72.6 19.7 28 346.8

Kdam Thmor Scylla serata 4.1 8.1 4.5 4.1 4.2 2.9 1.7 2.1 7.8 6.9 46.4

ID 12 54 77.9 53.05 62.7 61.6 74.7 69.5 63.8 65.1 45.8 628.15

Kdam Thmor Scylla serata 54 77.9 53.05 62.7 61.6 74.7 69.5 63.8 65.1 45.8 628.15

ID 13 359 430 443 326 216 300 209 500 296.6 224.4 3304

Ngeav Phourk Polymesoda erosa 359 430 443 326 216 300 209 500 296.6 224.4 3304

ID 14 47.1 72.5 53.23 38.55 49.4 57.7 55.3 67.5 61.5 43.9 546.68


ID 15 335 304 34 31 313 293 330 375 284 299.5 2598.5

Ngeav Phourk Polymesoda erosa 335 304 34 31 313 293 330 375 284 299.5 2598.5

ID 16 2454 1276 831 679 122 1189 5274 1400 917 4249 18391

Bangkea Sor (blank) 108 43 153 170 122 72 66 44 55 833

Bangkorng (blank)

Kdam Ses Portunus pelagicus 9 9

Trey Kamong (blank) 1233 678 509 1117 5274 1325 873 4194 15203

Trey Kamong Khloun


ID 17 649.3 430 441 445 367 347 351 276 341 199 3846.3

Bangkorng (blank) 1 1

Bangkorng Khmao (blank)

49


Kdam Ses Portunus pelagicus 259.3 429 441 445 367 347 351 276 341 199 3455.3

Trey Kamong Khloun


ID 18 995 1387.3 830.5 1892.8 2557.6 2623.5 2513.3 1067 2137.5 1484 17488.5

Bangkea Okhak (blank) 54.6 38.5 122.6 29.2 3 30.5 278.4

Bangkea Para Penaeus semisulcatus

Bangkea Sor (blank) 29.4 28.2 37.4 32.3 1 31 159.3

Bangkorng (blank) 4 4

Kdam Ses Portunus pelagicus 7.3 6.8 7.6 2 2 25.7

Trey Beika Auxis thazard 2 6 11 19

Trey Chabher (blank) 204 109 20 32 365

Trey Chomros (blank) 63 60 123

Trey Chy (blank) 50 163 58 193.5 192 121.3 14 155 130 1076.8

Trey Kamong (blank) 1162 534 1318 1686 2316 2348 887 1851 1334 13436

Trey Kamong Khloun


Trey Kamoy Anodontostoma

chacunda 10 20 32 12 20 94

Trey Khei/proy veng Pentaprion longimanus 37 21 35 36 51 45 225

Trey Kok Trichiurus japonicus 98 98

Trey Koun Hilsa kelle 10 10

Trey Krohorm Lutjanus malabaricus 81.5 85.5 51 218

Trey Los (blank) 2.3 2.3

Trey Pakang (blank)

Trey Palang Rastrelliger faughni 96 300 396

ID 19 217.9 411.5 350.5 438.5 504.5 539.9 302.8 270.2 518.9 236.8 3791.5

Bangkorng (blank) 1.5 1.35 2.85

Kdam Ses Portunus pelagicus 202 358 303.5 393 416 441 268.8 245.4 399 217 3243.7

Kdam Thmor Scylla serata 12.4 29.5 33 25.5 46.7 48.9 3.3 0.95 58.9 14.3 273.45

Meuk (blank) 1 2.3 3.3

Meuk Dong Sepiola sp. 3 1.5 2 1 3.8 4 7 4.8 27.1

Meuk Snok Sepiella inermis 0.5 0.7 1.2

Trey Chomros (blank) 22.5 12 19 38 46 28.2 20.2 54 239.9

ID 20 404.95 369.5 146.05 243.85 133.3 267.2 439.8 473.4 227.8 236.4 2942.25

50


Bangkorng (blank)

Kdam Phlet (blank) 216.5 96 65.1 377.6

Kdam Pkor lorn Ozius guttatus 181 113 106 400

Kdam Ses Portunus pelagicus 1.4 137 122.5 54.5 128 256.9 360 400 216.2 192 1868.5


Meuk (blank) 7.6 3.5 4.8 15.9

Meuk Dong Sepiola sp. 1 0 0.5 1.5 1 1 5

Meuk Snok Sepiella inermis 1 1

Trey Chomros (blank) 16.7 12.8 9.9 4.4 8.5 34 26.5 9.7 17 139.5

ID 21 253.2 230.4 425.9 292.4 308.6 191.4 294.1 406.9 183.8 121.8 2708.5

Kdam Ses Portunus pelagicus 90.6 103.3 265.3 169.7 156.8 109.4 211.4 311.3 104.2 50.7 1572.7

Kdam Sor/Dangkeab

Sor Charybdis anisodon 42.8 37.5 32.4 31.1 30.3 22.6 32.1 45.4 20.9 20.5 315.6


ID 22 193.9 225.5 181.8 143.7 120.3 178 772.6 679.9 112 88.4 2696.15

Kdam Ses Portunus pelagicus 139.8 44 3.4 137.4 717.3 569.9 83.6 5.6 1701

Kdam Sor/Dangkeab

Sor Charybdis anisodon 18.2 39.4 47.1 33.5 32.3 21.4 53.6 66.5 14.6 19 345.6


ID 23 238 256.9 397.2 470.5 870 1517 1835.3 552 1414.7 159.3 7710.9

Bangkea Sor (blank) 19.9 1.3 9.3 30.5

Bangkorng Sor (blank) 3 3

Trey Kamong (blank) 33.7 74.4 108.1

Trey Kamong Khloun

Khley Rastrelliger brachysoma 187.7 136.3 134.2 458.2

Trey Kamong Khloun

Veng Rastrelliger kanagurta 1.5 65.7 233.9 42.4 450 1434 1440.3 100 1337 5104.8


chacunda 2.8 25 119.5 332.1 412 61 388 417 59.5 1816.9

Trey Sambor Hear (blank) 13.6 16.3 10.1 7.3 8 22 7 35 18.2 8 145.5

Trey Sleuk Russey Thryssa hamiltonii 12.5 10.6 13 7.8 43.9

ID 24 18.1 27.2 4.8 22.3 11.5 13.4 27.8 33.4 11.3 26.8 196.6

Kreing Chheam Anadara granosa 18.1 27.2 4.8 22.3 11.5 13.4 27.8 33.4 11.3 26.8 196.6

ID 25 156.05 159.6 174 170.7 187.25 203.9 281.6 225.5 185.4 99.4 1843.4

Kdam Ses Portunus pelagicus 86 39.2 38.4 44.9 95.1 121.9 176.5 134.6 107.2 43.3 887.1

51


Kdam Sor/Dangkeab

Sor Charybdis anisodon 48.95 26.1 24.1 20.4 14.3 21.6 34 32.7 24.4 9.3 255.85

Trey Andat Chhke Paraplagusia billineata 2 16.3 18.2 11 10 2 11 10.2 2.5 4.3 87.5

Trey Anderng (blank) 2.6 1.6 6.3 1.3 1.7 0.7 2 1.6 17.8

Trey Bam Thu (blank) 16 16

Trey Beika Auxis thazard 1 2.1 6.5 1 1 2 1.3 14.9

Trey Borbel (blank) 1.5 2.5 4

Trey Borbel Moan Himantura imbricata 14 23.9 24 32.4 29.5 10 14.9 17.2 8.8 18.1 192.8

Trey Chab Sor Pampus argenteus 1.5 0.8 1.5 2 2.7 8.5

Trey Chherng Chonlors (blank) 8 8.5 2 4 6 4 3.6 3 3 42.1

Trey Kamong Khloun

Veng Rastrelliger kanagurta 1.8 2 14 15 32.8

Trey Kantuy Krobei (blank) 1 1

Trey Ka-ok Chhojing (blank) 1 1 1 3

Trey Ka-ok Kbal Heang Osteogeneiosus militaris 3.4 1.2 4.6


tetradactylum 1 1.5 1.7 5 4.5 3 1 3.5 5.4 3 29.6

Trey Katang Kra-ob Siganus canaliculatus 1 1

Trey Katang thmor Singanus virgatus 3 3

Trey Kbal Heing (blank) 0.7 26.5 25 7.7 6 4 1.2 5.1 76.2

Trey Kbal Heing (blank) 5 3.1 8.1

Trey Korkok (blank) 1 1

Trey Pakang (blank) 10.5 26.9 30 19.05 17.9 12.7 15.9 14.6 9 156.55

Grand Total 11,763 9,518.1 7,753.0 9,091.5 9,853.1 11,342.0 16,075.0 10.116.0 9,996.0 11,685.0 107,191.7

52

Annex 6: Monthly landing value (Riel) by species and by fishersover the period from April to November 2011 (ranking according to total value)


ID 1

Bangkea Kleung Penaeus latisulcatus 27,964 0 72,229 70,000 0 0 16,333 27,500 12,000 51,750 276,706

Bangkea Para Penaeus semisulcatus 0 600 0 0 0 0 0 0 0 0 600

Bangkea Phork (blank) 5,000 15,000 89,610 96,919 46,200 43,816 25,000 0 413,33 6,000 349,120

Bangkea Sor (blank) 60,970 4,900 98,031 126,818 61,094 54,000 131,657 126,400 122,550 90,625 843,690

Kchong Chak (blank) 0 0 0 24,000 0 0 0 0 0 0 24,000

Kdam Ses Portunus pelagicus 30,000 5,000 17,325 10,350 15,000 16,657 0 12,000 16,000 0 116,193

Kdam Thmor Scylla serata 0 5,200 7,800 24,000 2,520 13,333 17,500 12,000 28,120 0 90,720

Kompron (blank) 6,000 0 4,200 1,500 0 0 0 0 0 7,800 18,900

Ngeav Phourk Polymesoda erosa 320 3,000 0 0 0 0 0 0 0 0 3,060

Phy (blank) 512,000 596,800 478,400 532,000 63,000 59,400 32,000 174,750 39,300 395,200 2,608,417

Trey Anderng (blank) 0 0 0 0 5,133 5,950 0 4,500 6,400 0 21,745

Trey Chnok (blank) 4,000 0 3,750 0 0 0 0 0 0 4,800 12,025

Trey Chy (blank) 0 0 0 0 3,000 4,250 0 0 2,000 0 9,450

Trey Damlong (blank) 36,806 3,000 23,400 5,500 10,246 13,500 4,500 70,975 15,000 45,338 200,343

Trey Do Angkor Gerres abreviatus 0 0 0 5,000 0 0 0 0 0 0 5,000

Trey Kamong (blank) 0 0 0 0 900 0 0 0 0 0 900

Trey Kanchanh

Chras

Gnathodentex

aurolineatus 3,000 0 2,400 0 0 0 0 500 0 3,600 8,580

Trey Katang

phleung Siganus guttatus 0 0 1,200 0 0 0 0 0 0 0 1,200

Trey Kbork (blank) 30,000 3,000 30,333 165,375 0 0 28,000 12,000 34,000 36,000 325,396

Trey Khei Pentaprion longimanus 6,000 0 0 0 0 0 3,000 0 3,600 10,000 34,500

Trey Kranh Lobotes surinamensis 5,867 0 600 0 0 0 0 0 0 8,533 14,657

Trey Krok (blank) 0 0 0 0 0 600 0 0 0 0 600

Trey Mrech (blank) 50,917 17,600 49,600 15,600 20,900 18,600 2,000 21,500 12,673 65,600 258,494

Trey Pas (blank) 0 0 0 3,000 0 0 0 0 0 0 3,000

Trey Phtong

Prort

Tylosurus acus

melanotus 0 0 0 0 0 0 12,500 0 13,000 0 25,500

Trey Prolong (blank) 0 0 0 0 1,500 0 0 0 0 0 1,500

Trey Prorkong (blank) 95,633 5,600 18,983 32,635 11,400 15,900 2,100 62,100 14,223 102,700 301,960

53


Trey Sach (blank) 6,300 1,500 15,00 2,600 1,250 6,300 0 0 4,200 8,700 32,596

ID 2

Kchong Doung Melo melo 67,167 454,750 265,000 60,000 186,643 298,929 30,000 166,500 182,400 307,400 2,001,616

Kchong Thnout Conus vexillum 348,750 629,100 593,135 506,250 620,120 908,158 577,591 1,029,000 554,025 449,280 6,231,868

Kdam Ses Portunus pelagicus 2,386,364 2,511,600 1,748,908 2,321,846 2,193,188 3,023,611 1,727,917 3,549,000 2,046,786 1,744,200 23,370,577

Trey Borbel (blank) 0 0 10,000 0 84,600 49,500 0 0 87,300 0 232,727

Trey Chhlam

Chhkout Chiloscyllium griseum 13,000 25,000 118,080 0 0 0 0 0 0 25,000 181,350

Trey Chlam (blank) 0 0 0 0 178,000 180,000 71,250 364,500 198,000 0 987,438

ID 3

Bangkorng

Chma (blank) 0 8,000 458,496 129,462 180,000 40,000 0 101,250 0 0 1,006,863

Bangkorng Pak (blank) 156,000 144,000 0 0 0 0 0 0 0 0 300,000

Bangkorng Sor (blank) 437,000 365,000 0 0 0 0 0 0 0 95,000 897,000

Kdam Khla (blank) 25,000 22,425 0 0 0 0 0 0 0 0 47,520

Kdam Krohorm (blank) 1,000 1,700 121,773 69,750 122,870 60,786 87,600 89,881 0 0 557,520

Kdam Neak Charybdis natator 67,422 20,500 0 0 0 0 0 0 0 0 89,100

Kdam Ses Portunus pelagicus 396,000 494,522 940,077 652,500 748,708 881,571 749,250 872,300 464,810 0 6,217,414

Kdam Skor

Krorb Matuta victor 11,000 3,733 0 0 0 0 0 0 0 0 13,883

Kdam Sor Charybdis anisodon 14,175 9,400 0 0 0 0 0 0 2,900 6,500 32,817

Kdam Thmor Scylla serata 27,500 15,000 0 0 0 0 0 0 0 0 41,563

Trey Anlong (blank) 0 15,200 0 0 0 0 0 0 0 0 15,200

Trey Kor

Khmao (blank) 21,450 0 0 0 0 0 0 0 0 0 21,450

ID 4

Kdam Ses Portunus pelagicus 39,835 0 0 0 0 0 0 0 0 0 39,835

Trey Anderng (blank) 69,667 0 0 0 0 0 6,000 0 6,500 0 76,800

Trey Ang Re Sphyraena putnamae 176,550 91,800 42,000 25,000 155,143 73,500 139,500 11,200 152,227 33,567 905,178

Trey Chek Seriolina nigrofasciata 0 0 3,500 0 0 0 0 0 0 0 3,500

Trey Chhlam

Chhkout Chiloscyllium griseum 17,000 0 0 0 0 0 0 0 0 0 17,000

Trey Chlam (blank) 0 0 0 0 0 0 0 6,500 0 0 6,500

Trey Do Angkor Gerres abreviatus 787,563 156,582 145,630 132,322 180,540 172,713 173,575 145,183 167,571 128,917 2,231,018

Trey Kaheav Alepes vari 230,300 61,600 56,000 0 68,000 270,400 68,881 95,375 72,471 43,200 946,243

54


Trey Kamong

Khloun Veng Rastrelliger kanagurta 2,400 0 0 0 0 0 0 0 0 0 2,400


chacunda 10,800 0 0 0 0 0 0 0 0 0 10,800

Trey Katang

Kra-ob Siganus canaliculatus 15,300 44,400 15,400 61,000 0 0 0 0 0 22,500 159,661

Trey Katang

thmor Siganus javus 0 0 0 7,800 97,096 129,000 56,963 65,650 58,457 0 414,507

Trey Kor

Khmao (blank) 52,181 35,000 33,212 40,138 0 0 0 0 0 38,000 199,391

Trey Krohorm Lutjanus malabaricus 0 0 0 0 55,033 134,550 6,400 11,900 6,000 0 213,429

Trey Krohorm

Sroka Kras Scolopis taeniopterus 249,343 95,538 80,556 10,800 17,083 0 73,538 39,600 62,833 61,425 715,064

Trey Krorb

khnol Lethrinus nebulosus 230,175 87,994 101,133 91,813 142,011 116,992 130,191 102,821 125,375 60,455 1,184,436

Trey Prolong (blank) 96,742 16,800 29,025 22,040 115,788 145,714 106,448 89,625 100,553 12,950 731,105

Trey Prorlos Sillago sihama 492,047 192,000 40,000 43,000 217,120 112,000 127,636 181,000 144,667 104,000 1,724,209

Trey Udouy Selaroides leptolepis 81,000 29,600 0 0 0 0 54,600 121,539 56,940 16,000 353,223

ID 5

Bangkea Sor (blank) 156,000 97,592 185,361 170,690 219,574 275,116 357,547 363,008 217,154 103,200 2,118,747

Kdam Ses Portunus pelagicus 16,857 11,458 35,150 25,833 7,200 14,440 7,367 0 12,133 11,600 149,625

Kdam Thmor Scylla serata 0 2,400 0 6,400 8,000 0 0 0 0 0 15,600

Meuk (blank) 0 0 0 0 0 2,800 1,600 0 2,400 0 6,750

Meuk Dong Sepiola sp. 15,840 10,400 14,167 4,667 0 0 0 0 0 6,000 50,625

Trey Andeng

Poy (blank) 10,500 2,500 10,000 19,575 0 0 0 0 0 11,200 47,022

Trey Chomros (blank) 0 0 0 0 0 39,775 28,000 0 31,000 0 99,200


Trey Katang

Kra-ob Siganus canaliculatus 4,000 41,042 52,061 7,200 0 0 0 0 0 4,400 108,400

Trey Katang

thmor Singanus virgatus 0 0 7,500 40,685 61,568 37,000 36,125 62,550 29,670 0 279,028

Trey Mrech (blank) 0 7,000 2,750 0 2,000 0 0 0 0 0 11,900

Trey Phtong

Prort

Tylosurus acus

melanotus 11,400 11,100 0 32,000 0 0 0 0 0 12,825 66,815

Trey Throm (blank) 36,225 0 0 0 0 0 0 0 0 25,300 61,333

Trey Trosok Terapon theraps 0 0 0 0 4,800 0 0 0 0 0 4,800

ID 6

55


Bangkea Sor (blank) 0 14,400 1,414,050 1,205,199 309,500 346,000 259,200 447,600 1,128,141 738,625 5,792,067

Bangkorng (blank) 0 0 0 48,000 776,000 656,000 26,100 207,975 0 0 1,827,000

Bangkorng Lekh (blank) 84,000 6,000 0 0 0 0 0 0 0 0 87,400

Bangkorng Sor (blank) 120,500 12,500 0 0 0 0 0 0 0 0 133,000

Kdam Katray (blank) 2,000 0 0 0 0 0 0 0 0 0 2,000

Kdam Ses Portunus pelagicus 975,395 521,785 1,615,227 1,873,900 4,292,000 3,769,000 6897,729 3,963,886 1,352,678 738,000 25,551,631

Kdam Thmor Scylla serata 28,600 0 36,667 166,222 88,400 30,000 317,188 260,514 38,500 139,500 1,105,358

Meuk (blank) 0 0 0 7,000 0 19,200 496,920 278,067 0 8,400 815,972


tetradactylum 14,000 0 0 0 0 0 0 0 0 0 14,000

ID 7

Trey Beika Auxis thazard 16,000 0 0 0 0 0 0 0 0 16,000 32,000

Trey Chy (blank) 0 0 0 10,000 0 0 0 0 0 0 10,000

Trey Kamong (blank) 0 0 5,830,288 5,285,000 0 0 0 0 5,057,857 0 16,176,438

Trey Kamong

Khloun Khley Rastrelliger brachysoma 5,460,000 6,072,500 0 350,000 6,545,000 5,285,000 5,145,000 5,674,815 0 5,075,000 39,601,202

Trey Kamong

Khloun Veng Rastrelliger kanagurta 430,000 0 0 0 0 0 0 0 0 340,000 770,000

Trey Krohorm Lutjanus malabaricus 0 692,500 1,151,625 1,038,000 0 0 125,000 0 1,528,615 0 4,517,883

Trey Krohorm

phneak thom

Priacanthus

macracanthus 80,000 120,000 0 0 0 0 0 0 0 0 200,000

Trey Krohorm

Sraka Reung

Nemipterus

nematophorus 0 0 0 750,000 587,500 362,500 100,000 400,000 0 0 2,200,000

Trey Krohorm

Sraka Tun Nemipterus furcosus 756,250 1,526,250 0 0 705,000 360,000 221,667 375,000 0 714,000 4,666,395

Trey Krorhorm

Kbalkor (blank) 450,000 0 0 0 0 0 0 0 0 215,000 665,000

ID 8

Kdam Thmor Scylla serata 0 0 0 0 0 0 0 14,000 0 0 14,000

Trey Ang Re Sphyraena putnamae 0 0 0 0 49,140 28,389 0 0 0 0 77,505

Trey Borbel (blank) 0 0 0 0 0 0 0 3,500 0 0 3,500

Trey Chy (blank) 0 2,000 71,424 25,500 41,400 9,600 22,700 44,800 60,975 0 272,015

Trey Kanchanh

Chras

Gnathodentex

aurolineatus 26,000 9,000 0 0 0 0 0 0 0 13,800 48,800

Trey Ka-ok

Kbal Heang Osteogeneiosus militaris 0 6,000 12,100 83,200 0 0 0 0 12,100 0 109,200

Trey Kapal (blank) 0 6,300 0 0 0 0 0 0 0 0 6,300

56


Trey Katang Kat Acanthurus lineatus 7,500 6,000 18,550 0 0 0 0 0 16,005 9,000 59,280

Trey Katang

phleung Siganus guttatus 0 4,800 0 0 73,491 44,227 3,000 13,500 0 0 137,089

Trey Katang

prorpesh Siganus argenteus 0 15,000 0 0 0 0 0 0 0 0 15,000

Trey Katang

thmor Singanus virgatus 3,000 0 3,600 0 0 0 0 0 4,500 6,000 17,100

Trey Kbork (blank) 793,800 765,000 0 0 0 0 0 0 0 569,800 2,127,250

Trey Kbork

Korngkang Moolgarda seheli 0 79,800 395,189 438,873 11,900 35,000 62,720 80,550 403,248 0 1,540,370

Trey Kbork

Preng (blank) 0 0 0 0 146,127 477,130 211,818 437,167 0 0 1,308,886

Trey Khei Pentaprion longimanus 18,000 34,973 0 0 0 0 0 0 0 14,700 67,417

Trey Kontuy

reung (blank) 0 0 0 0 6,000 0 0 0 0 0 6,000

Trey Mrech (blank) 5,625 0 0 0 0 0 0 0 0 7,000 12,833

Trey Phtong

Prort

Tylosurus acus

melanotus 6,000 0 0 0 0 0 0 0 0 9,000 15,000

Trey Prorkong (blank) 3,000 0 0 0 0 0 0 0 0 0 3,000

Trey Prorlos Sillago sihama 0 0 0 10,000 57,500 0 0 0 0 0 67,500

ID 9

Bangkea Sor (blank) 0 55,000 405,000 128,250 0 265,000 20,000 0 0 44,500 915,791

Kdam Ses Portunus pelagicus 0 0 0 0 0 0 2,500 0 0 0 2,500

Kdam Thmor Scylla serata 0 11,000 0 0 4,000 0 13,200 3,600 10,000 0 40,600

Trey Ang Re Sphyraena putnamae 0 0 0 0 0 0 2,500 5,000 0 0 7,500

Trey Chy (blank) 0 2,000 68,000 156,600 87,000 79,000 58,800 68,000 81,500 0 582,983

Trey Ka Chy Diagramma pictum 2,400 0 0 0 0 2,400 0 0 0 0 4,800

Trey Ka-ok

Chhojing (blank) 0 0 0 360 0 0 223,200 0 0 0 197,931

Trey Ka-ok

Kbal Heang Osteogeneiosus militaris 22,000 146,000 0 0 0 0 0 0 0 70,000 238,000

Trey Karav

Sleuk (blank) 0 0 0 0 0 0 0 40,000 0 0 40,000

Trey Katang

prorpesh Siganus argenteus 0 95,000 0 0 8,000 0 112,700 0 10,000 68,000 311,600

Trey Katang

thmor Singanus virgatus 27,000 400 8,750 22,500 6,000 0 101,500 0 7,000 0 180,450

Trey Kbork (blank) 0 34,000 0 0 0 0 0 0 0 12,000 46,000

57


Trey Kbork

Angkam Moolgarda buchanani 603000 296,725 0 0 0 0 0 0 0 207,600 1,106,271

Trey Kbork

Korngkang Moolgarda seheli 0 13,200 21,000 41,250 346,966 249,333 671,089 338,571 357,638 0 2,044,088

Trey Kbork

Preng (blank) 0 0 0 0 0 40,000 20,000 320,000 0 0 376,615

Trey Kbork Sor (blank) 0 0 0 0 3,500 0 0 0 4,500 0 8,000

Trey Koh (blank) 0 0 0 0 0 2,400 0 0 0 0 2,400

Trey Krohorm

Sraka Leung

Nemipterus

nematophorus 0 0 0 0 0 5,000 0 0 0 0 5,000

Trey Mrech (blank) 3,000 0 0 0 0 0 0 0 0 0 3,000

Trey Phtong

Kao (blank) 0 0 0 0 5,000 0 0 0 7,500 0 12,500

Trey Phtong

Kunkat (blank) 0 0 0 0 70,000 0 40,000 95,000 75,000 0 280,000

Trey phtong

phka Hemiramphus far 0 79,333 0 0 0 0 0 0 0 36,300 115,360

Trey Phtorng

Kam (blank) 0 8,000 8,400 616,000 61,000 48,000 8,000 0 59,000 0 808,400

Trey Phtoung

Koh (blank) 0 0 0 0 0 3,000 10,000 10,000 0 0 23,000

Trey Prorlos Sillago sihama 0 5,000 0 5,000 2,000 0 0 0 2,000 0 23,375

ID 10

Kdam Thmor Scylla serata 0 0 0 0 15,000 0 0 0 0 0 15,000

Trey Kamong

Khloun Khley Rastrelliger brachysoma 1,493,605 50,000 0 0 0 0 0 0 0 987,657 2,549,132


tetradactylum 39,000 2,220,000 2,404,556 1,905,000 2,519,259 217,7045 1,823,222 1,456,000 2290,579 39,000 16,945,500

Trey Khei Pentaprion longimanus 34,000 0 0 0 0 0 0 0 0 11,000 45,000

ID 11

Kdam Chhor Episesarma singap0rens 140,786 343,200 274,200 222,000 144,040 97,800 93,600 435,600 118,200 168,000 2,027,046

Kdam Thmor Scylla serata 70,818 147,000 72,857 68,955 79,000 50,267 17,000 34,364 133,714 119,182 786,222

ID 12 1,198,800 1,509,648 789,320 865,260 724,331 899,068 880,333 844,123 778,370 970,960 9,344,939

Kdam Thmor Scylla serata 1,198,800 1,509,648 789,320 865,260 724,331 899,068 880,333 844,123 778,370 970,960 9,344,939

ID 13 323,100 387,000 398,700 293,400 216,000 300,000 209,000 499,000 296,600 201,960 3,164,215

Ngeav Phourk Polymesoda erosa 323,100 387,000 398,700 293,400 216,000 300,000 209,000 499,000 296,600 201,960 3,164,215

ID 14 1,186,920 1,855,000 1,013,684 639,930 852,548 993,929 1121,255 1,143,000 1,036,389 1,176,520 10,654,757

Kdam Thmor Scylla serata 1,186,920 1,855,000 1,013,684 639,930 852,548 993,929 1,121,255 1,143,000 1,036,389 1,176,520 10,654,757

58


ID 15 301,500 273,600 28,600 27,400 281,700 263,700 297,000 337,500 255,600 269,550 2,314,228

Ngeav Phourk Polymesoda erosa 301,500 273,600 28,600 27,400 281,700 263,700 297,000 337,500 255,600 269,550 2,314,228

ID 16

Bangkea Sor (blank) 1,080,000 559,000 1,989,000 2,210,000 1,586,000 936,000 0 858,000 572,000 715,000 10,720,348

Bangkorng (blank) 0 0 0 0 0 0 0 0 0 0 0

Kdam Ses Portunus pelagicus 0 0 0 0 0 0 0 101,250 0 0 101,250

Trey Kamong (blank) 0 2,075,550 1,582,000 988,914 0 1,535,875 6,939,474 3,014,375 1,209,729 6,340,341 24,719,683

Trey Kamong

Khloun Veng Rastrelliger kanagurta 3,761,979 0 0 0 0 0 0 0 0 0 3,761,979

ID 17

Bangkorng (blank) 0 20,000 0 0 0 0 0 0 0 0 20,000

Bangkorng

Khmao (blank) 0 0 0 0 0 0 0 0 0 0 0


Trey Kamong

Khloun Veng Rastrelliger kanagurta 390,000 0 0 0 0 0 0 0 0 0 390,000

ID 18

Bangkea Okhak (blank) 0 733,200 583,917 0 1,765,440 300,030 51,000 0 313,388 0 3,672,818

Bangkea Para Penaeus semisulcatus 0 0 0 0 0 0 0 0 0 0 0

Bangkea Sor (blank) 0 299,513 284,350 0 340,340 274,550 11,000 0 263,500 0 1,516,195

Bangkorng (blank) 0 0 0 0 56,000 0 0 0 0 0 66,857

Kdam Ses Portunus pelagicus 0 96,725 82,280 0 73,467 26,000 0 0 26,000 0 309,318

Trey Beika Auxis thazard 0 0 0 0 10,000 30,000 0 0 55,000 0 95,000

Trey Chabher (blank) 0 0 0 328,168 199,314 0 36,000 48,000 0 0 626,632

Trey Chomros (blank) 0 393,750 120,000 0 0 0 0 0 0 0 594,500

Trey Chy (blank) 0 50,000 150,775 30,595 138,968 99,491 54,585 11,900 80,944 65,000 630,369

Trey Kamong (blank) 0 1,868,138 1,167,171 3,040,814 3,494,618 3,637,482 4,343,800 1,963,227 2,875,220 1,534,100 24,703,382

Trey Kamong

Khloun Veng Rastrelliger kanagurta 1,444,369 0 0 0 0 0 0 0 0 0 1,444,369


chacunda 0 0 0 0 0 10,000 160,000 35,200 12,000 160,000 316,467

Trey Khei Pentaprion longimanus 25,900 16,100 0 35,000 0 33,120 0 57,630 41,400 0 218,333

Trey Kok Trichiurus japonicus 0 0 0 117,600 0 0 0 0 0 0 117,600

Trey Koun Hilsa kelle 0 0 0 0 10,000 0 0 0 0 0 10,000

Trey Krohorm Lutjanus malabaricus 0 0 0 230,917 256,500 0 0 102,000 0 0 624,933

59


Trey Los (blank) 0 0 0 3,680 0 0 0 0 0 0 3,680

Trey Pakang (blank) 0 0 0 0 0 0 0 0 0 0 0

Trey Palang Rastrelliger faughni 0 0 0 480,000 1,176,000 0 0 0 0 0 1,712,700

ID 19

Bangkorng (blank) 0 0 0 0 0 0 52,500 46,125 0 0 104,196


Kdam Thmor Scylla serata 373,550 875,167 1,108,800 911,625 1,647,843 1,746,429 96,525 17,100 2,103,571 430,788 8,995,947

Meuk (blank) 0 0 0 0 0 0 0 0 0 0 0

Meuk Dong Sepiola sp. 0 0 0 0 0 0 0 0 0 0 0

Meuk Snok Sepiella inermis 0 0 0 0 0 0 0 0 0 0 0

Trey Chomros (blank) 0 0 0 0 0 0 310,200 0 0 0 2,638,900

ID 20

Bangkorng (blank) 0 0 0 0 0 0 0 0 0 0 0

Kdam Phlet (blank) 324,750 144,000 0 97,650 0 0 0 0 0 0 566,400

Kdam Pkor lorn Ozius guttatus 1,005,556 556,929 0 530,000 0 0 0 0 0 0 2,075,000

Kdam Ses Portunus pelagicus 13,440 1,221,583 1,341,375 566,800 1,091,200 2,055,200 3,600,000 4,000,000 1,729,600 1,920,000 16,889,243

Kdam Thmor Scylla serata 128,775 163,767 309,361 213,389 7,200 34,200 1,247,800 1,407,600 35,467 734,400 3,677,658

Meuk (blank) 0 0 0 0 0 0 0 0 0 0 0

Meuk Dong Sepiola sp. 0 0 0 0 0 0 0 0 0 0 0

Meuk Snok Sepiella inermis 0 0 0 0 0 0 0 0 0 0 0

Trey Chomros (blank) 0 0 128,000 99,000 0 0 0 0 0 0 1,395,000

ID 21

Kdam Ses Portunus pelagicus 815,400 805,740 1,591,800 1,018,200 940,800 656,400 1,268,400 1,867,800 625,200 395,460 10,309,234

Kdam Sor Charybdis anisodon 21,400 24,569 16,200 15,550 15,150 11,300 16,050 22,700 10,450 16,400 168,983

Kdam Thmor Scylla serata 2,635,600 2,348,138 2,564,000 1,832,000 2,430,000 1,188,000 1,012,000 1,004,000 1,174,000 1,315,600 17,405,031

ID 22

Kdam Ses Portunus pelagicus 1,258,200 396,000 0 0 23,800 961,800 4,916,976 3,833,037 585,200 50,400 12,328,848


Kdam Thmor Scylla serata 718,000 2,842,000 2,694,000 2,204,000 1,693,000 297,949 21,250 813,845 264,500 1,276,000 12,684,574

ID 23

Bangkea Sor (blank) 159,200 0 0 13,000 0 0 0 0 0 74,400 249,083

Bangkorng Sor (blank) 0 18,000 0 0 0 0 0 0 0 0 18,000

60


Trey Kamong (blank) 0 0 56,167 111,600 0 0 0 0 0 0 167,555

Trey Kamong

Khloun Khley Rastrelliger brachysoma 225,240 241,146 0 0 0 0 0 0 0 169,987 682,209

Trey Kamong

Khloun Veng Rastrelliger kanagurta 2,250 65,700 438,563 59,360 458,654 938,075 879,612 77,500 859,500 0 4,688,562


chacunda 4,200 41,667 191,200 498,150 412,000 40,667 232,800 437,850 39,270 0 2,007,828

Trey Sambor

Hear (blank) 13,600 13,583 10,100 8,517 4,000 11,000 3,500 30,625 8,190 8,000 117,370

Trey Sleuk

Russey Thryssa hamiltonii 18,750 15,900 0 16,250 0 0 0 0 0 11,700 63,106

ID 24

Kreing Chheam Anadara granosa 90,500 136,000 24,000 111,500 57,500 67,000 133,440 167,000 56,500 134,000 977,462

ID 25

Kdam Ses Portunus pelagicus 849,250 380,800 460,800 500,314 864,170 1,027,120 1,205,069 1,195,155 915,861 338,281 7,879,678

Kdam Sor Charybdis anisodon 991,238 469,800 521,363 457,470 336,471 478,145 676,421 699,496 554,779 192,643 5,478,463

Trey Andat

Chhke Paraplagusia billineata 6,000 48,900 60,667 35,750 33,333 7,000 36,143 30,600 8,750 12,900 280,921

Trey Anderng (blank) 0 17,333 11,200 44,100 10,400 11,900 0 4,900 14,000 12,800 125,713

Trey Bam Thu (blank) 0 0 0 0 0 0 16,000 0 0 0 16,000

Trey Beika Auxis thazard 0 5,000 16,800 43,333 7,000 5,000 12,000 0 6,500 0 94,818

Trey Borbel (blank) 0 0 6,000 10,000 0 0 0 0 0 0 16,000

Trey Borbel

Moan Himantura imbricata 56,000 71,700 168,000 129,600 118,000 40,000 110,922 51,600 35,200 72,400 851,689

Trey Chab Sor Pampus argenteus 0 0 0 0 12,000 6,400 22,500 30,000 0 21,600 87,833

Trey Chherng

Chonlors (blank) 0 16,000 17,000 4,000 44,000 12,000 8,000 7,200 6,000 6,000 124,084

Trey Kamong

Khloun Veng Rastrelliger kanagurta 0 1,800 0 3,000 0 14,000 0 0 15,000 0 35,533

Trey Kantuy

Krobei (blank) 0 0 4,000 0 0 0 0 0 0 0 4,000

Trey Ka-ok

Chhojing (blank) 0 0 3,000 0 4,000 0 0 4,000 0 0 11,000

Trey Ka-ok

Kbal Heang Osteogeneiosus militaris 17,000 3,600 0 0 0 0 0 0 0 0 20,700


tetradactylum 5,000 9,000 12,750 43,333 34,500 21,000 8,000 25,667 37,800 21,000 218,105

Trey Katang

Kra-ob Siganus canaliculatus 0 2,000 0 0 0 0 0 0 0 0 2,000

61


Trey Katang

thmor Singanus virgatus 0 0 0 0 0 0 9,000 0 0 0 9,000

Trey Kbal Heing (blank) 3,500 132,500 125,000 38,500 30,000 18,000 0 0 4,800 25,500 374,904

Trey Kbal Heing (blank) 0 0 0 0 0 0 25,000 15,500 0 0 40,500

Trey Korkok (blank) 0 0 0 0 0 0 0 3,000 0 0 3,000

Trey Pakang (blank) 0 225,000 898,268 1,164,286 736,023 827,378 623,303 769,825 638,229 354,375 6,490,163

62

Annex 7: Average price (Riel/kg) of catch by species by fisher


ID 1 7,587 6,912 8,031 8,880 4,474 4,426 11,417 9,793 5,629 7,453 6,729

Bangkea Kleung Penaeus latisulcatus 19,286 22,571 25,000 23,333 27,500 30,000 19,167 22,588

Bangkea Para Penaeus semisulcatus 3,000 3,000

Bangkea Phork (blank) 10,000 6,000 8,700 8,577 6,000 5,842 10,000 6,667 10,000 7,110


Kchong Chak (blank) 8,000 8,000

Kdam Ses Portunus pelagicus 30,000 12,500 15,750 11,500 7,143 7,571 6,000 8,000 9,931

Kdam Thmor Scylla serata 13,000 13,000 15,000 3,600 8,333 25,000 20,000 14,800 11,200

Kompron (blank) 6,000 6,000 3,000 6,000 5,400

Ngeav Phourk Polymesoda erosa 800 1,000 900

Phy (blank) 8,000 8,000 8,000 8,000 3,000 3,000 8,000 7,500 3,000 8,000 6,595

Trey Anderng (blank) 4,667 4,250 9,000 4,000 4,727

Trey Chnok (blank) 4,000 2,500 4,000 3,250

Trey Chy (blank) 2,000 2,500 2,000 2,250


Trey Do Angkor Gerres abreviatus 5,000 5,000

Trey Kamong (blank) 3,000 3,000

Trey Kanchanh Chras Gnathodentex aurolineatus 3,000 2,000 1,000 3,000 2,200

Trey Katang phleung Siganus guttatus 4,000 4,000

Trey Kbork (blank) 15,000 10,000 8,667 11,250 10,000 10,000 10,000 15,000 10,739

Trey Khei Pentaprion longimanus 20,000 3,000 3,000 20,000 11,500

Trey Kranh Lobotes surinamensis 2,667 2,000 2,667 2,571

Trey Krok (blank) 3,000 3,000

Trey Mrech (blank) 3,917 4,000 4,000 4,000 3,167 3,000 4,000 7,167 3,091 4,100 3,688

Trey Pas (blank) 6,000 6,000

63


Trey Phtong Prort Tylosurus acus melanotus 5,000 5,000 5,000

Trey Prolong (blank) 2,500 2,500

Trey Prorkong (blank) 6,333 7,000 5,667 5,350 2,923 3,000 7,000 7,667 3,308 6,500 4,789

Trey Sach (blank) 3,000 3,000 3,000 2,000 2,500 3,000 3,000 3,000 2,885

ID 2 12,827 12,354 13,476 16,310 13,905 14,021 16,000 11,787 13,891 12,346 13,568

Kchong Doung Melo melo 10,333 10,700 10,000 10,000 9,571 9,643 10,000 9,000 9,500 10,600 9,924

Kchong Thnout Conus vexillum 7,500 7,767 7,962 7,500 7,400 7,632 8,818 7,000 7,417 7,800 7,627

Kdam Ses Portunus pelagicus 19,091 18,200 23,538 26,385 19,688 19,444 24,167 19,500 19,643 18,000 20,379

Trey Borbel (blank) 5,000 4,500 4,500 4,500 4,545

Trey Chhlam

Chhkout

Chiloscyllium griseum 10,000 10,000 9,600 10,000 9,750

Trey Chlam (blank) 10,000 10,000 9,500 9,000 10,000 9,531

ID 3 12,994 13,018 12,288 9,151 8,631 6,837 10,750 9,276 8,760 3,400 10,519

Bangkorng Chma (blank) 16,000 15,920 15,231 15,000 16,000 16,875 15,708

Bangkorng Pak (blank) 48,000 48,000 48,000

Bangkorng Sor (blank) 10,000 10,000 10,000 10,000

Kdam Khla (blank) 10,000 9,750 9,900

Kdam Krohorm (blank) 2,000 1,000 4,318 3,100 3,413 3,286 3,000 3,595 3,450

Kdam Neak Charybdis natator 9,111 10,000 9,429

Kdam Ses Portunus pelagicus 10,000 10,217 15,538 11,250 9,917 8,643 18,500 12,200 10,238 11,484

Kdam Skor Krorb Matuta victor 1,667 1,167 1,417

Kdam Sor Charybdis anisodon 1,313 1,000 1,000 1,000 1,109

Kdam Thmor Scylla serata 27,500 20,000 23,750

Trey Anlong (blank) 4,000 4,000

Trey Kor Khmao (blank) 6,500 6,500

ID 4 5,918 5,454 4,800 4,578 5,789 5,763 5,728 5,611 5,769 4,991 5,528

Kdam Ses Portunus pelagicus 12,850 12,850

Trey Anderng (blank) 7,333 5,000 5,000 6,400

64


Trey Ang Re Sphyraena putnamae 8,917 9,563 9,333 10,000 8,571 8,750 7,750 8,000 7,727 8,833 8,556

Trey Chek Seriolina nigrofasciata 3,500 3,500

Trey Chhlam

Chhkout

Chiloscyllium griseum 5,667 5,667

Trey Chlam (blank) 5,000 5,000

Trey Do Angkor Gerres abreviatus 4,895 5,237 5,022 5,031 5,173 5,125 5,458 5,167 5,476 5,417 5,201

Trey Kaheav Alepes vari 7,833 8,000 8,000 8,000 8,000 6,438 6,813 6,357 8,000 7,398

Trey Kamong Khloun

Veng

Rastrelliger kanagurta 800 800

Trey Kamoy Anodontostoma chacunda 4,000 4,000

Trey Katang Kra-ob Siganus canaliculatus 5,667 6,000 4,667 5,000 5,000 5,304

Trey Katang thmor Siganus javus 6,000 5,885 6,000 6,125 5,611 6,286 5,956

Trey Kor Khmao (blank) 2,156 2,000 2,115 2,375 2,000 2,137

Trey Krohorm Lutjanus malabaricus 4,333 4,313 4,000 4,250 4,000 4,286

Trey Krohorm Sroka

Kras

Scolopis taeniopterus 4,233 4,423 6,944 4,000 4,167 4,625 4,000 4,833 3,938 4,664

Trey Krorb khnol Lethrinus nebulosus 4,125 3,563 3,524 4,063 4,370 4,208 4,283 3,895 4,250 3,455 4,003

Trey Prolong (blank) 3,917 3,500 3,375 3,800 4,906 4,286 4,275 3,750 4,353 3,500 4,128

Trey Prorlos Sillago sihama 7,529 10,000 10,000 10,000 9,200 10,000 9,455 10,000 9,333 10,000 9,313

Trey Udouy Selaroides leptolepis 9,000 8,000 7,800 7,278 7,800 8,000 7,729

ID 5 5,883 5,188 6,250 6,629 7,250 7,185 7,447 6,763 7,274 5,432 6,510


Kdam Ses Portunus pelagicus 4,214 4,583 9,500 8,333 6,000 7,600 8,667 8,667 3,625 6,848

Kdam Thmor Scylla serata 8,000 8,000 20,000 10,400

Meuk (blank) 7,000 8,000 8,000 7,500

Meuk Dong Sepiola sp. 7,200 8,000 8,333 5,833 4,000 6,750

Trey Andeng Poy (blank) 7,000 2,500 4,167 7,250 7,000 5,111

Trey Chomros (blank) 5,375 5,000 5,000 5,167


65


Trey Katang Kra-ob Siganus canaliculatus 4,000 4,167 4,469 6,000 4,000 4,371

Trey Katang thmor Singanus virgatus 5,000 4,962 4,773 5,000 4,250 4,500 4,300 4,705

Trey Mrech (blank) 3,500 2,500 5,000 3,400

Trey Phtong Prort Tylosurus acus melanotus 4,750 3,700 4,000 4,750 4,150

Trey Throm (blank) 5,250 5,500 5,333

Trey Trosok Terapon theraps 16,000 16,000

ID 6 18,050 14,367 15,680 17,195 25,267 22,897 10,217 13,266 14,426 17,096 17,265

Bangkea Sor (blank) 6,000 21,425 20,341 5,000 5,000 6,000 6,000 19,219 23,750 12,420

Bangkorng (blank) 80,000 80,000 80,000 7,250 35,250 65,250

Bangkorng Lekh (blank) 80,000 60,000 76,000

Bangkorng Sor (blank) 5,000 5,000 5,000

Kdam Katray (blank) 1,000 1,000


Kdam Thmor Scylla serata 22,000 18,333 24,444 26,000 25,000 21,875 26,857 18,333 22,500 23,419

Meuk (blank) 7,000 6,000 6,150 7,167 7,000 6,528


tetradactylum

20,000 20,000

ID 7 2,795 3,202 3,258 3,165 3,239 3,294 3,344 3,329 3,229 2,885 3,178

Trey Beika Auxis thazard 8,000 8,000 8,000

Trey Chy (blank) 1,000 1,000

Trey Kamong (blank) 3,481 3,500 3,476 3,486

Trey Kamong Khloun

Khley

Rastrelliger brachysoma 3,500 3,500 3,500 3,500 3,500 3,500 3,481 3,500 3,497

Trey Kamong Khloun

Veng

Rastrelliger kanagurta 500 500 500

Trey Krohorm Lutjanus malabaricus 2,500 2,775 2,662 2,500 2,831 2,702

Trey Krohorm

phneak thom

Priacanthus macracanthus 4,000 4,000 4,000

Trey Krohorm Sraka

Reung

Nemipterus nematophorus 2,500 2,500 2,500 2,500 2,500 2,500

66


Trey Krohorm Sraka

Tun

Nemipterus furcosus 3,438 3,083 3,000 3,000 3,167 3,125 3,400 3,174

Trey Krorhorm

Kbalkor

(blank) 2,500 2,500 2,500

ID 8 4,000 4,254 4,831 5,341 3,404 3,296 3,181 3,116 4,773 4,043 3,991

Kdam Thmor Scylla serata 20,000 20,000

Trey Ang Re Sphyraena putnamae 3,900 3,889 3,895

Trey Borbel (blank) 7,000 7,000

Trey Chy (blank) 1,000 2,471 1,000 1,000 1,000 1,000 1,000 2,046 1,329

Trey Kanchanh Chras Gnathodentex aurolineatus 1,000 1,000 1,000 1,000

Trey Ka-ok Kbal

Heang

Osteogeneiosus militaris 10,000 5,500 10,400 5,500 8,400

Trey Kapal (blank) 2,250 2,250

Trey Katang Kat Acanthurus lineatus 1,500 2,000 1,767 1,650 1,500 1,733

Trey Katang phleung Siganus guttatus 3,000 3,909 3,182 3,000 3,000 3,444

Trey Katang prorpesh Siganus argenteus 10,000 10,000

Trey Katang thmor Singanus virgatus 3,000 3,000 3,000 3,000 3,000

Trey Kbork (blank) 7,000 6,955 7,000 6,979

Trey Kbork

Korngkang

Moolgarda seheli 5,000 6,773 6,773 7,000 5,000 6,400 4,500 6,682 6,531

Trey Kbork Preng (blank) 5,182 4,043 4,536 4,067 4,357

Trey Khei Pentaprion longimanus 1,000 953 1,000 971

Trey Kontuy reung (blank) 3,000 3,000

Trey Mrech (blank) 3,750 3,500 3,667

Trey Phtong Prort Tylosurus acus melanotus 6,000 6,000 6,000

Trey Prorkong (blank) 3,000 3,000

Trey Prorlos Sillago sihama 5,000 5,000 5,000

ID 9 6,120 6,798 2,926 2,402 3,482 3,167 4,937 3,500 3,582 6,417 4,052

Bangkea Sor (blank) 5,000 5,000 4,500 5,000 5,000 5,000 4,913


67


Kdam Thmor Scylla serata 20,000 20,000 14,667 12,000 20,000 16,571

Trey Ang Re Sphyraena putnamae 5,000 5,000 5,000

Trey Chy (blank) 1,000 1,000 1,450 1,000 1,000 1,000 1,000 1,000 1,056

Trey Ka Chy Diagramma pictum 8,000 8,000 8,000

Trey Ka-ok Chhojing (blank) 1,200 9,000 7,886

Trey Ka-ok Kbal

Heang

Osteogeneiosus militaris 10,000 10,000 10,000 10,000

Trey Karav Sleuk (blank) 5,000 5,000

Trey Katang prorpesh Siganus argenteus 10,000 10,000 7,667 10,000 10,000 9,500

Trey Katang thmor Singanus virgatus 5,000 2,000 3,500 1,500 2,000 9,667 2,000 4,500

Trey Kbork (blank) 5,667 6,000 5,750

Trey Kbork Angkam Moolgarda buchanani 6,000 5,929 6,000 5,975

Trey Kbork

Korngkang

Moolgarda seheli 6,000 7,000 5,500 5,605 5,667 5,611 5,643 5,844 5,688

Trey Kbork Preng (blank) 5,000 5,000 5,333 5,231

Trey Kbork Sor (blank) 5,000 5,000 5,000

Trey Koh (blank) 4,000 4,000

Trey Krohorm Sraka

Leung

Nemipterus nematophorus 10,000 10,000

Trey Mrech (blank) 3,000 3,000

Trey Phtong Kao (blank) 5,000 5,000 5,000

Trey Phtong Kunkat (blank) 5,000 5,000 5,000 5,000 5,000

Trey phtong phka Hemiramphus far 2,833 2,750 2,800

Trey Phtorng Kam (blank) 2,000 2,000 2,000 2,000 2,000 2,000 2,000 2,000

Trey Phtoung Koh (blank) 5,000 5,000 5,000 5,000

Trey Prorlos Sillago sihama 10,000 5,000 1,000 1,000 4,250

ID 10 1,610 11,185 14,889 15,000 14,643 14,045 14,944 14,000 14,053 1,759 11,508

Kdam Thmor Scylla serata 30,000 30,000

Trey Kamong Khloun

Khley

Rastrelliger brachysoma 1,314 1,000 1,064 1,205

68



tetradactylum

13,000 12,000 14,889 15,000 14,074 14,045 14,944 14,000 14,053 13,000 14,092

Trey Khei Pentaprion longimanus 1,000 1,000 1,000

ID 11 10,520 11,857 10,756 10,958 11,413 11,484 7,636 9,081 11,379 11,391 10,812

Kdam Chhor Episesarma singap0rens 5,214 6,000 6,000 6,000 5,200 6,000 6,000 6,000 6,000 6,000 5,845


ID 12 22,200 19,379 14,879 13,800 11,759 12,036 12,667 13,231 11,957 21,200 14,877


ID 13 900 900 900 900 1,000 1,000 1,000 998 1,000 900 958

Ngeav Phourk Polymesoda erosa 900 900 900 900 1,000 1,000 1,000 998 1,000 900 958

ID 14 25,200 25,586 19,043 16,600 17,258 17,226 20,276 16,933 16,852 26,800 19,490


ID 15 900 900 841 884 900 900 900 900 900 900 891

Ngeav Phourk Polymesoda erosa 900 900 841 884 900 900 900 900 900 900 891

ID 16 3,085 13,007 19,161 16,430 21,500 15,750 1,316 12,959 14,089 7,908 13,438

Bangkea Sor (blank) 10,000 13,000 13,000 13,000 13,000 13,000 13,000 13,000 13,000 12,870

Bangkorng (blank) 30,000 39,091 30,000 30,000 30,000 20,000 30,000 30,000 30,455


Trey Kamong (blank) 1,683 2,333 1,943 1,375 1,316 2,275 1,386 1,512 1,626

Trey Kamong Khloun

Veng

Rastrelliger kanagurta 1,604 1,604

ID 17 13,200 16,218 31,615 32,194 15,638 17,096 38,482 20,819 17,148 33,839 24,111

Bangkorng (blank) 20,000 20,000

Bangkorng Khmao (blank) 18,865 50,731 51,889 18,276 21,192 64,464 29,138 21,295 55,107 36,272


Trey Kamong Khloun

Veng


ID 18 1,400 6,993 8,206 2,185 4,994 4,359 2,303 1,674 4,649 1,294 4,282

Bangkea Okhak (blank) 13,429 15,167 14,400 10,275 17,000 10,275 13,193

69


Bangkea Para Penaeus semisulcatus 4,000 4,000

Bangkea Sor (blank) 10,188 10,083 9,100 8,500 11,000 8,500 9,518

Bangkorng (blank) 9,000 14,000 19,375 19,375 16,714

Kdam Ses Portunus pelagicus 13,250 12,100 9,667 13,000 13,000 12,036

Trey Beika Auxis thazard 5,000 5,000 5,000 5,000

Trey Chabher (blank) 1,609 1,829 1,800 1,500 1,717

Trey Chomros (blank) 6,250 2,000 4,833

Trey Chy (blank) 1,000 925 528 718 518 450 850 522 500 585

Trey Kamong (blank) 1,608 2,186 2,307 2,073 1,571 1,850 2,213 1,553 1,150 1,839

Trey Kamong Khloun

Veng


Trey Kamoy Anodontostoma chacunda 1,000 8,000 1,100 1,000 8,000 3,367

Trey Khei Pentaprion longimanus 700 767 1,000 920 1,130 920 970

Trey Kok Trichiurus japonicus 1,200 1,200

Trey Koun Hilsa kelle 1,000 1,000

Trey Krohorm Lutjanus malabaricus 2,833 3,000 2,000 2,867

Trey Los (blank) 1,600 1,600

Trey Pakang (blank) 13,333 13,333

Trey Palang Rastrelliger faughni 5,000 3,920 4,325

ID 19 20,750 20,467 29,267 28,929 28,773 25,321 18,571 19,143 25,321 20,750 22,941

Bangkorng (blank) 12,000 21,000 51,250 61,667 42,571 32,800 35,000 34,167 32,800 12,000 36,560



Meuk (blank)

Meuk Dong Sepiola sp.

Meuk Snok Sepiella inermis

Trey Chomros (blank) 11,000 11,000

ID 20 9,044 9,266 17,641 10,973 12,854 14,116 23,353 20,189 14,486 19,861 14,291

70


Bangkorng (blank) 37,500 10,000 40,000 29,900 26,058 16,567 32,375 15,583 27,817

Kdam Phlet (blank) 1,500 1,500 1,500 1,500

Kdam Pkor lorn Ozius guttatus 5,556 4,929 5,000 5,188



Meuk (blank)



Trey Chomros (blank) 10,000 10,000 10,000

ID 21 10,500 11,511 8,866 8,833 8,833 8,833 8,833 8,833 8,833 11,533 9,437


Kdam Sor Charybdis anisodon 500 655 500 500 500 500 500 500 500 800 535


ID 22 9,876 10,890 10,350 11,260 12,176 6,787 4,103 5,973 7,563 11,840 8,806

Kdam Ses Portunus pelagicus 9,000 9,000 7,000 7,000 6,855 6,726 7,000 9,000 7,248

Kdam Sor Charybdis anisodon 700 693 700 700 1,619 1,453 700 700 2,000 700 921


ID 23 2,883 1,565 1,641 1,643 990 634 600 981 620 2,944 1,306

Bangkea Sor (blank) 8,000 10,000 8,000 8,167

Bangkorng Sor (blank) 6,000 6,000

Trey Kamong (blank) 1,667 1,500 1,550

Trey Kamong Khloun

Khley

Rastrelliger brachysoma 1,200 1,769 1,267 1,489

Trey Kamong Khloun

Veng

Rastrelliger kanagurta 1,500 1,000 1,875 1,400 1,019 654 611 775 643 918

Trey Kamoy Anodontostoma chacunda 1,500 1,667 1,600 1,500 1,000 667 600 1,050 660 1,105

Trey Sambor Hear (blank) 1,000 833 1,000 1,167 500 500 500 875 450 1,000 807

Trey Sleuk Russey Thryssa hamiltonii 1,500 1,500 1,250 1,500 1,438

ID 24 5,000 5,000 5,000 5,000 5,000 5,000 4,800 5,000 5,000 5,000 4,972

71


Kreing Chheam Anadara granosa 5,000 5,000 5,000 5,000 5,000 5,000 4,800 5,000 5,000 5,000 4,972

ID 25 11,580 9,915 14,800 16,958 17,419 18,776 16,974 17,450 18,174 15,397 16,255



Trey Andat Chhke Paraplagusia billineata 3,000 3,000 3,333 3,250 3,333 3,500 3,286 3,000 3,500 3,000 3,211

Trey Anderng (blank) 6,667 7,000 7,000 8,000 7,000 7,000 7,000 8,000 7,063

Trey Bam Thu (blank) 1,000 1,000

Trey Beika Auxis thazard 5,000 8,000 6,667 7,000 5,000 6,000 5,000 6,364

Trey Borbel (blank) 4,000 4,000 4,000

Trey Borbel Moan Himantura imbricata 4,000 3,000 7,000 4,000 4,000 4,000 7,444 3,000 4,000 4,000 4,417

Trey Chab Sor Pampus argenteus 8,000 8,000 15,000 15,000 8,000 10,333

Trey Chherng

Chonlors

(blank) 2,000 2,000 2,000 11,000 2,000 2,000 2,000 2,000 2,000 2,947

Trey Kamong Khloun

Veng

Rastrelliger kanagurta 1,000 1,500 1,000 1,000 1,083

Trey Kantuy Krobei (blank) 4,000 4,000

Trey Ka-ok Chhojing (blank) 3,000 4,000 4,000 3,667

Trey Ka-ok Kbal

Heang

Osteogeneiosus militaris 5,000 3,000 4,500


tetradactylum

5,000 6,000 7,500 8,667 7,667 7,000 8,000 7,333 7,000 7,000 7,368

Trey Katang Kra-ob Siganus canaliculatus 2,000 2,000

Trey Katang thmor Singanus virgatus 3,000 3,000

Trey Kbal Heing (blank) 5,000 5,000 5,000 5,000 5,000 4,500 4,000 5,000 4,920

Trey Kbal Heing (blank) 5,000 5,000 5,000

Trey Korkok (blank) 3,000 3,000

Trey Pakang (blank) 21,429 33,393 38,810 38,636 46,222 49,079 48,417 43,714 39,375 41,457

72

Annex 8: Average maximum length (cm) versus frequencies by fisher measured over the period from April

to November 2011

Local Name Scientific Name Frequencies Average

(cm) StdDev

ID 1 698 6.0 3.9

Bangkea Kleung Penaeus latisulcatus 28 13.2 3.3

Bangkea Para Penaeus semisulcatus 2 9.9 7.1

Bangkea Phork (blank) 74 4.2 2.2

Bangkea Sor (blank) 109 5.3 2.9

Kchong Chak (blank) 1 7.0

Kdam Ses Portunus pelagicus 28 5.9 4.5

Kdam Thmor Scylla serrata 31 5.2 3.8

Kompron (blank) 5 5.0 0.0

Ngeav Phourk Polymesoda erosa 2 7.0 0.0

Phy (blank) 75 6.6 3.1

Trey Anderng (blank) 11 6.0 3.0

Trey Chnok (blank) 2 10.0 0.0

Trey Chy (blank)

Trey Damlong (blank) 77 5.6 3.3

Trey Do Angkor Gerres abreviatus 1 7.0

Trey Kamong (blank) 1 5.0

Trey Kanchanh

Chras

Gnathodentex

aurolineatus

5 4.2 0.4

Trey Katang

phleung

Siganus guttatus 1 7.0

Trey Kbork (blank) 23 11.0 4.0

Trey Khei Pentaprion longimanus 4 16.5 15.5

Trey Kranh Lobotes surinamensis 7 6.7 1.3

Trey Krok (blank) 1 2.0

Trey Mrech (blank) 85 5.2 2.41

Trey Pas (blank) 1 6.0


melanotus

2 20.0 0.0

Trey Prolong (blank) 2 3.5 0.7

Trey Prorkong (blank) 95 5.4 3.1

Trey Sach (blank) 25 4.9 3.7

ID 2 365 16.5 8.9

Kchong Doung Melo melo 50 17.7 2.5

Kchong Thnout Conus vexillum 129 15.0 8.0


Trey Borbel (blank) 11 12.2 1.1

Trey Chhlam

Chhkout

Chiloscyllium griseum 6 32.6 2.2

Trey Chlam (blank) 31 37.9 6.3

ID 3 511 6.7 3.3

73


(cm) StdDev

Bangkorng Chma (blank) 70 7.8 0.9

Bangkorng Pak (blank) 21 13.4 0.5

Bangkorng Sor (blank) 38 10.7 1.0

Kdam Khla (blank) 9 9.7 1.3

Kdam Krohorm (blank) 119 3.0 0.5

Kdam Neak Charybdis natator 12 10.2 1.0


Kdam Skor Krorb Matuta victor 6 2.1 0.4

Kdam Sor Charybdis anisodon 41 2.1 0.3


Trey Anlong (blank) 2 9.0 1.4

Trey Kor Khmao (blank)

ID 4 833 17.7 8.9


Trey Anderng (blank) 5 22.6 1.7

Trey Ang Re Sphyraena putnamae 52 44.1 11.2

Trey Chek Seriolina nigrofasciata 1 14.0

Trey Chhlam

Chhkout

Chiloscyllium griseum 3 58.6 7.0

Trey Chlam (blank) 1 50.3

Trey Do Angkor Gerres abreviatus 168 14.1 4.9

Trey Kaheav Alepes vari 52 21.5 3.2

Trey Kamong

Khloun Veng

Rastrelliger kanagurta 1 21.0


chacunda

1 13.0

Trey Katang Kra-ob Siganus canaliculatus 15 12.3 0.8

Trey Katang thmor Siganus javus 44 12.7 0.7

Trey Kor Khmao (blank) 43 13.2 0.7

Trey Krohorm Lutjanus malabaricus 21 18.1 2.2

Trey Krohorm Sroka

Kras

Scolopis taeniopterus 56 18.1 2.4

Trey Krorb khnol Lethrinus nebulosus 150 14.0 4.2

Trey Prolong (blank) 109 15.6 1.3


Trey Udouy Selaroides leptolepis 23 21.5 2.6

ID 5 443 4.2 1.4





Meuk Dong Sepiola sp. 14 4.7 0.8

Trey Andeng Poy (blank) 8 5.8 0.3

74


(cm) StdDev

Trey Chomros (blank) 18 4.8 0.6

Trey Damlong (blank) 83 5.4 0.7

Trey Katang Kra-ob Siganus canaliculatus 24 2.9 1.2

Trey Katang thmor Singanus virgatus 53 3.0 0.6



melanotus

10 5.7 0.8

Trey Throm (blank) 12 6.7 1.6

Trey Trosok Terapon theraps 1 5.0

ID 6 172 3.2 3.6


Bangkorng (blank)

Bangkorng Lekh (blank) 1 20.0

Bangkorng Sor (blank) 1 4.0

Kdam Katray (blank) 1 2.0





tetradactylum

1 40.0

ID 7 367 11.4 1.3

Trey Beika Auxis thazard 2 25.0 0.0

Trey Chy (blank) 1 10.0

Trey Kamong (blank) 73 11.8 0.4

Trey Kamong

Khloun Khley

Rastrelliger brachysoma 156 11.6 0.7

Trey Kamong

Khloun Veng

Rastrelliger kanagurta 15 12.0 0.0

Trey Krohorm Lutjanus malabaricus 48 10.6 0.5

Trey Krohorm

phneak thom

Priacanthus

macracanthus

2 9.0 0.0

Trey Krohorm Sraka

Reung

Nemipterus

nematophorus

20 11.0 0.0

Trey Krohorm Sraka

Tun

Nemipterus furcosus 43 10.0 0.3

Trey Krorhorm

Kbalkor

(blank) 7 11.0 0.0

ID 8 370 18.0 10.2

Kdam Thmor Scylla serrata 1 9.0


Trey Borbel (blank) 1 16.0

Trey Chy (blank) 73 13.9 11.6

Trey Kanchanh

Chras

Gnathodentex

aurolineatus

16 3.1 0.5

75


(cm) StdDev

Trey Ka-ok Kbal

Heang

Osteogeneiosus militaris 10 32.9 5.0

Trey Kapal (blank) 2 11.5 4.9

Trey Katang Kat Acanthurus lineatus 9 17.1 12.1

Trey Katang

phleung

Siganus guttatus 5 5.6 0.8

Trey Katang

prorpesh

Siganus argenteus 2 14.0 0.0



Trey Kbork

Korngkang

Moolgarda seheli 81 25.7 3.6

Trey Kbork Preng (blank) 60 17.4 4.8

Trey Khei Pentaprion longimanus 27 3.2 0.4

Trey Kontuy reung (blank) 1 18.0



melanotus

2 22.0 0.0

Trey Prorkong (blank) 1 7.0


ID 9 340 17.3 8.6


Kdam Ses Portunus pelagicus 1 12.0



Trey Chy (blank) 44 10.3 4.6

Trey Ka Chy Diagramma pictum 2 26.0 2.8

Trey Ka-ok

Chhojing

(blank) 7 27.0 4.1

Trey Ka-ok Kbal

Heang

Osteogeneiosus militaris 9 35.5 7.4

Trey Karav Sleuk (blank) 1 19.0

Trey Katang

prorpesh

Siganus argenteus 14 22.1 7.9



Trey Kbork Angkam Moolgarda buchanani 40 25.6 4.7

Trey Kbork

Korngkang

Moolgarda seheli 80 22.1 5.0

Trey Kbork Preng (blank) 13 19.9 4.8

Trey Kbork Sor (blank) 2 12.0 0.0

Trey Koh (blank) 1 28.0

Trey Krohorm Sraka

Reung

Nemipterus

nematophorus

1 8.0

Trey Mrech (blank) 1 16.0

76


(cm) StdDev

Trey Phtong Kao (blank) 2 29.0 0.0

Trey Phtong Kunkat (blank) 7 16.2 0.9

Trey phtong phka Hemiramphus far 5 17.8 0.4

Trey Phtorng Kam (blank) 29 11.7 1.9

Trey Phtoung Koh (blank) 3 25.0 2.6


ID 10 222 35.9 31.5

Kdam Thmor Scylla serrata

Trey Kamong

Khloun Khley



tetradactylum

184 42.0 31.2

Trey Khei Pentaprion longimanus

ID 11 228 9.5 2.9

Kdam Chhor Episesarma singap0rens 73 6.1 2.1


ID 12 260 9.9 1.4


ID 13 286 10.0 0.0


ID 14 298 11.2 0.7


ID 15 266 7.9 0.5


ID 16

Bangkea Sor (blank)

Bangkorng (blank)

Kdam Ses Portunus pelagicus

Trey Kamong (blank)

Trey Kamong

Khloun Veng

Rastrelliger kanagurta

ID 17 72 7.1 0.8

Bangkorng (blank)

Bangkorng Khmao (blank) 14 7.5 1.4


Trey Kamong

Khloun Veng


ID 18 2 6.50 0.7

Bangkea Okhak (blank)

Bangkea Para Penaeus semisulcatus

Bangkea Sor (blank)

Bangkorng (blank)


77


(cm) StdDev

Trey Beika Auxis thazard

Trey Chabher (blank)

Trey Chomros (blank)

Trey Chy (blank)


Trey Kamong

Khloun Veng



chacunda

Trey Khei Pentaprion longimanus

Trey Kok Trichiurus japonicas

Trey Koun Hilsa kelle

Trey Krohorm Lutjanus malabaricus

Trey Los (blank)

Trey Pakang (blank)

Trey Palang Rastrelliger faughni

ID 19

Bangkorng (blank)



Meuk (blank)




ID 20

Bangkorng (blank)

Kdam Phlet (blank)

Kdam Pkor lorn Ozius guttatus



Meuk (blank)




ID 21 508 7.3 4.3


Kdam Sor Charybdis anisodon


ID 22 304 6.7 3.8




ID 23 359 9.5 2.3

78


(cm) StdDev


Bangkorng Sor (blank) 1 4.0


Trey Kamong

Khloun Khley


Trey Kamong

Khloun Veng



chacunda

118 9.4 1.2

Trey Sambor Hear (blank) 45 5.7 1.5

Trey Sleuk Russey Thryssa hamiltonii 16 10.1 2.2

ID 24 132 3.5 1.4

Kreing Chheam Anadara granosa 132 3.5 1.4

ID 25 412 16.7 4.1



Trey Andat Chhke Paraplagusia billineata 5 16.6 8.6

Trey Anderng (blank) 1 25.0

Trey Bam Thu (blank)

Trey Beika Auxis thazard 4 22.5 6.4

Trey Borbel (blank)

Trey Borbel Moan Himantura imbricate

Trey Chab Sor Pampus argenteus 1 20.0

Trey Chherng

Chonlors

(blank)

Trey Kamong

Khloun Veng


Trey Kantuy Krobei (blank)

Trey Ka-ok

Chhojing

(blank)

Trey Ka-ok Kbal

Heang

Osteogeneiosus militaris


tetradactylum

7 23.1 6.3

Trey Katang Kra-ob Siganus canaliculatus

Trey Katang thmor Singanus virgatus



Trey Korkok (blank)

Trey Pakang (blank) 98 18.2 3.1

regional fisheries livelihoods programme for …for south and southeast asia (rflp) ----- activity...

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