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Heidi Dunn and David Ford EcoAnalysts/Ecological Specialists, Inc. Mussel Surveys, Relocation, and Permitting

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  • Heidi Dunn and David Ford EcoAnalysts/Ecological Specialists, Inc.

    Mussel Surveys, Relocation, and Permitting

  • • Clean Water Act – Section 404 – construction/dredging – 316A – thermal effluent – NPDES – discharge

    • Rivers and Harbors Act – Section 10 – construction/dredging navigable waters

    • FERC licensing – hydropower

    • Federal Action (issue permit) – Endangered Species Act

    • State Permits – State specific– but most have endangered species legislation

    • State or USFWS– survey to detect whether mussels affected

    Why a Mussel Survey?

  • Most Important Aspect of Determining how to Sample: Clear Idea of SAMPLE OBJECTIVES

    • What question am I trying to answer?

    • How do I want to use the data?

    • How general or specific of an answer do I need?

  • Basic Sample Types

    Method Objective Technique

    Informal Sampling

    Reconnaissance – cover a large area quickly

    Distribution over large area Presence/absence

    Site selection

    Brail Spot dives

    Look for shells Look for hydraulic changes

    Semi–quantitative – sample a defined area with specific effort

    Map distribution with a site Map limits of a mussel bed

    Transects spaced and marked at intervals/

    Cells

    Qualitative – collect numerous individuals

    Estimate species richness Estimate effort for new species Timed dives or collect in lots

    Formal Sampling

    Quantitative–collect ALL individuals in small area

    Unbiased estimate of community demographics

    0.25 m2 dig to 10–15 cm Sieve and sort samples

    Complete removal – remove MOST mussels from larger area

    Collect and translocate mussels from impact area; dewatering

    Systematic collection, repeated collecting

    Mark/Recapture – mark all animals in small area, repeat over

    time

    Determine survival, growth, movement over time

    Collect and mark animals at T1, repeat at T2, etc.

  • HOW COULD THESE AFFECT RESULTS?– Keep in mind • Collector experience

    ‾ If you don’t know where mussels live– how are you going to find them or ID correctly

    ‾ Experienced collector can spot or feel mussels/know habitat

    • Field conditions ‾ Turbidity effect visibility ‾ High current velocity

    ‾ Difficult to stay in place, fear factor

    • Size and shape of animals ‾ Bigger and sculptured animals easier to find

    • Behavior ‾ Some species live deeper in the substrate– have to dig ‾ Mussels move vertically

    • Spawning, releasing glochidia, may not be UP at certain times

    Sampling Bias!

  • Quantitative

    • Probability based sampling

    • Determine unbiased estimate ‾ Density ‾ Relative abundance ‾ Age structure ‾ Distribution

    • Statistical Temporal and Spatial

    Comparison

    • EXPENSIVE – LABOR INTENSIVE

    - (but….you get what you pay for)

    • Simple Random Design

    • Systematic Design

    • Stratified Random Design

    • Adaptive Design

    • Two Stage Sequential Design

    • Double Design

    see Strayer, D. L. and D. R. Smith. 2003. A guide to sampling freshwater mussel populations. Also, D. R. Smith has several papers with examples and analysis of methods.

  • Common Objectives

    • Mussel presence/absence

    • Species composition?

    • Mussel distribution?

    • Community change over time?

    • Will activity affect community?

    • Baseline characteristics of community?

    • Population estimate of community/species

    • Remove mussels from unavoidable impact area

  • Presence/Absence

    Area

    Data Precision

    Method

    Results

    Large Low

    Reconnaissance Quick searches Brail Spot dives

    Mussel and/or habitat available Relative abundance Delineate areas

    Small High

    Semi–quantitative or quantitative

    Probability of detection

    Mussels or species present or absent with x% probability

  • Osage River • Objective

    – Project–Determine mussel distribution with respect to hydropower operation

    – Reconnaissance–select sample sites

    • Field - Boat from dam to dam - Stopped at likely mussel habitat - Walked around (timed) - Recorded relative abundance,

    distribution - Scouted access

    • Pre–field – Reviewed previous reports – Reviewed aerial photos – Prepared maps of area

  • Semi–Quantitative or Quantitative • Find rare species/low density area

    • Probability of detection

    • Estimate time or area needed

    • Objective – 95% prob of rare species at density of

    0.1/m2 (1 per 10 x 1 grid cell)

    – Search Area = –LN (1– prob det)/ (species density x search efficiency)

    • Search efficiency ‾ Surface search

  • Distribution

    Area

    Data Precision

    Method

    Results

    Large to small Low Semi–quantitative

    Transects

    Cells

    Delineate mussel bed area

    Map habitat

    Large to small High

    Quantitative Systematic

    Random starts

    Stratified

    Distribution and density

  • Semi–Quantitative Transects – Methods

    • Perpendicular to flow - Mussels generally in parallel strips

    • Equal intervals or random starts

    • Mark intervals on lines (10m)

    • Visual/tactual search within 1m of line

    • Record at 10m intervals - Species, number (juv/adult) - Shells - Substrate type (Wentworth Scale) - Depth - Velocity (Hydropower) - Temperature/DO (316a)

  • • L&D 21

    • Bed boundaries

    - Upstream silt

    - Riverward

    • Coarse sand

    • Depth change

    • Increase velocity

    - Downstream silt

    Habitat Map

    Mussel Bed

    Sand

    Silt

    Clay

    Sand

    Silt

    Clay

  • Quantitative • Set up sample area in GIS

    • Download to GPS system

    • Navigate to points

    • Dig 0.25 m2 quadrat, sieve substrate

    • Not effective in low density areas

    • Distance between points dependent on sample size, distribution of mussels

  • Systematic Sampling with Multilple Random Starts

    • Objective

    - Determine density and distribution in 2 mile reach

    • Results - Low density mussel bed (2/m2)

  • Systematic Sampling with One Random Start • Objective

    - Determine density and distribution within 100 m of bank in Pool 15

  • Species Richness/Rare Species

    Data Precision

    Method

    Results

    Moderate

    Qualitative Timed searches

    Collect in lots

    Species accumulation curve

    70 to 80% of species with diminishing returns on

    species curve

    High

    Quantitative/Semi–quantitative

    Species accumulation curve Probability of detection

    70 to 80% of species with diminishing returns on species

    curve

    Prob of detection– dependent on effort, objective, and experience

  • Qualitative • Free search (usually timed) of loosely defined area

    • Objective – Collect enough to detect the majority of species and/or size classes

    • Inexpensive

    • Collect a large number of individuals quickly

  • Qualitative • Techniques

    – Timed increments or lots (number/bag)

    – Stop– several samples with no new species

    – Generate species accumulation curve

    – Regress – determine effort for next species

    – Rarefaction species richness

    • Record – Depth – Substrate – Species, number – Adults/juveniles – Locations

    no. species=a + b(log(1+cumulative individuals))

    Chart1

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    Actual Data

    Model

    Cumulative individuals

    Cumulative species

    3

    3.5857161222

    3

    5.13

    4

    6.033348159

    5

    6.6742838778

    7

    7.1714322445

    7

    7.5776320367

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    7.9210690675

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    8.2185677555

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    8.4809801957

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    8.7157161222

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    9.1219159145

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    9.4653529453

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    9.7628516333

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    10.0252640734

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    10.26

    8

    11.8042838778

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    12.7076320367

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    13.3485677555

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    13.8457161222

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    14.2519159145

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    14.5953529453

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    14.8928516333

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    15.1552640734

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    15.39

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    Appendix E

    ECOLOGICALAppendix E. Evenness plots, Q. fragosa monitoring area, 2009.ESI

    SPECIALISTS, INC.

    Appendix E

    1

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    Quan evenness

    Rank

    Relative abundance (%)

    Quantitative Evenness

    28.3018867925

    28.3018867925

    18.8679245283

    9.4339622642

    6.2893081761

    3.1446540881

    2.5157232704

    0.6289308176

    0.6289308176

    0.6289308176

    0.6289308176

    0.6289308176

    species curve

    1

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    Qual evenness

    Rank

    Relative abundance (%)

    Qualitative Evenness

    45.0495049505

    23.597359736

    15.3465346535

    5.4455445545

    3.1353135314

    2.4752475248

    1.8151815182

    0.9900990099

    0.8250825083

    0.495049505

    0.495049505

    0.1650165017

    0.1650165017

    Sheet1

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    Total evenness

    Rank

    Relative abundance (%)

    Total Evenness

    41.568627451

    22.614379085

    18.0392156863

    6.2745098039

    3.2679738562

    3.137254902

    1.4379084967

    0.9150326797

    0.7843137255

    0.6535947712

    0.522875817

    0.522875817

    0.1307189542

    0.1307189542

    ECOLOGICALFigure 4-6. Species area curve, Q. fragosa monitoring area, 2009.ESI

    SPECIALISTS, INC.

    35

    410

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    628

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    726

    765

    Actual Data

    Model

    Cumulative individuals

    Cumulative species

    3

    3.5857161222

    3

    5.13

    4

    6.033348159

    5

    6.6742838778

    7

    7.1714322445

    7

    7.5776320367

    7

    7.9210690675

    7

    8.2185677555

    7

    8.4809801957

    8

    8.7157161222

    8

    9.1219159145

    8

    9.4653529453

    8

    9.7628516333

    8

    10.0252640734

    8

    10.26

    8

    11.8042838778

    8

    12.7076320367

    8

    13.3485677555

    9

    13.8457161222

    9

    14.2519159145

    9

    14.5953529453

    9

    14.8928516333

    9

    15.1552640734

    9

    15.39

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    subfamily

    Sum of L

    Qual(blank)Grand Total

    Species689101112131415171925283031334045464749505354565859606162636465697274757677787980818385878990919293959699100104105106107108109110111114115116118119122123124125126127129130134137139142143146148152159160161164167168176181123456789101112131415161718192021222324(blank)

    Fusconaia flava111111111111151111111120113911132121312741721474121018173

    Amblema plicata1111131111111111321112211111121111111163225513717774198101016851110282310318

    Truncilla truncata11111111112111241113222334548

    Pleurobema sintoxia1111127

    Quadrula pustulosa pustulosa11111111121218124

    Lampsilis siliquoidea111115

    Potamilus alatus31111112121311112111111121211121111655313444123136109394331138

    Ligumia recta11114

    Obovaria olivaria211111111221113211125

    Utterbackia imbecillis11

    Lampsilis cardium1111116

    Leptodea fragilis11114

    Pyganodon grandis112321111

    Plethobasus cyphyus11

    Grand Total3122421132111231112111123222212113212111182111122244111232211113121112112213412311121114111127504992913351310135151330304917332621494939765

    Cum ind3468121415161921222324262930313234353637384043454749515254555659616264656667687678798081828486889296979899101104106108109110111112115116118119120121123124125127129130133137138140143144145146148149150151155156157158159186236285294296305318353366376389394409422452482531548581607628677726765

    Cum species3345777778888888889999999999999999999999999999999999999999999999991010101010101010101010101111111111111111111212121212121313131313131313131313131313141414141414141414

    Cum ind5101520253035404550607080901002003004005006007008009001000

    Cum species3.65.16.06.77.27.67.98.28.58.79.19.59.810.010.311.812.713.313.814.314.614.915.215.4

  • How Many Mussels Affected or Comparison Over Space or Time

    Data Precision

    Method

    Results

    Moderate Semi–Qualitative Transects/cells 30 to 60% of actual density

    Biased

    High

    Quantitative Random within polygon

    Systematic with random starts

    ...... many designs

    Density with conf interval

    Species relative abundance

    % Recruitment

    Other useful metrics

    Moderate to High

    Mark/Recapture Establish grid

    Mark all animals

    Doesn’t destroy habitat

    Survival

    Surface density

    Growth

    Movement (horz and vert)

    Species behavior

  • Simple Random Sampling Sampling objective

    • Unbiased estimate - Mussel density - Age structure - Recruitment - Mortality - Relative abundance

    • Best in smaller sample areas in known limits of mussel community

    - One mussel bed - Small area of impact

  • Systematic Sampling with One Start • Objective

    ‾ What is the population and community structure in Pool 18?

    • How many mussels would be

    affected by a drawdown?

  • Mark Recapture • Mark individuals, resample

    later

    • Objectives: Long–term monitoring - Timing: Months, 1–2 year, 5 years,

    10 years - Growth rates - New individuals/density changes - Is existing community enhanced? - Movement over time? - Recolonization of impacted

    areas? - How many is too many? - Assess impacts

    (upstream/downstream)

    •Pros -Same individuals -Compare growth, survival, movement -Calculate mortality, recruitment

    •Cons -High sample for statistical comparisons -Not all are at the surface and collectable

  • • Minimize area – Labor intensive

    • Select suitable recipient site

    • Handle mussels carefully – Keep cool/ambient

    conditions – Leave in water – Relocate as soon as

    possible • Dunn et al. 2000

    Relocate Animals from Impact Area

  • • Delineate impact area + buffer zones – 5 to 10 m around perimeter of

    impact

    – Divide area into manageable sections

    – Systematically collect animals • Compare number per search • Density estimate pre, post • Spread marked mussels and collect

    until 90% recovered

    • Can I move only T&E’s?

    • How do I know I collected all the T&E’s if I don’t collect them all?

    Collecting Animals

  • What Method do I use?

    It depends: • Objective • Data goals • Sampling conditions • Resources available Protocols:

    FMCS website– MolluskConservation.Org Guidelines and Techniques

    TPWD– https://tpwd.texas.gov/

  • Combination of Techniques

    Where should we look?

    • Reconnaissance • Determine sample area

    • Semi–quantitative

    • Determine distribution of mussels/habitat

    • Qualitative • Refine estimate of mussel bed

    edges– polygon

    • Quantitative • Random 0.25m2 samples in

    mussel bed to determine community metrics

    • Qualitative • 5 minute qualitative samples to

    estimate species richness

  • Combination: I74 – Relocation • 2014/2015

    – Determine collection area – Direct impact areas

    • 2015 – Survey and select

    relocation areas

    • 2016 – Baseline data for

    monitoring studies – Relocate mussels from

    new bridge corridor

  • I74 – Relocation Process

  • I74 – Relocation Process • Dive team – collect mussels

    – Grid cells, diminishing returns (IL)

    – General searches (IA) • Mark mussels, sort into

    relocation areas

    • Record data

    • Transport mussels to relocation areas – 6 for common/state

    T&E – Grids for fed species

  • I74 – Relocation Results – Illinois • Habitat

    – Gravel, sand, silt, zebra mussel shells

    – Dead mussel shells

    • 140,694 mussels of 32 species

    • 3 federally endangered species, 4 IL threatened species – 2 not reported from this pool

    since 1980

    • Juveniles of 26 species; 21.3% ≤5 years old

  • What Does This Mean for Texas?

    • Texas mussels - Approximately 52 species - 15 state listed (2009)

    • Survey triggers: - Dewatering, maintenance, and/or construction activities in water

    • Potential to harm aquatic life • Criminal offense to kill T&E species in TX • TPWD can investigate and assign restitution for destruction of state wildlife

    resources (mussels, fish, etc.)

    • Requires state permits and TPWD approval

    • Type depends on presence/absence of T&E – Survey to determine T&E – Either move project or move mussels (requires ARRP) – Dewatering– require salvage of aquatic species (requires ARRP) – Surveys take time! Plan ahead

  • Dewatering– TRWD Southwest Blvd. Dam

    • COMPLICATED!

    – Longer than planned and requires machinery

    • Removal of water from an area – Harms aquatic life

    • Objective: Collection and relocation – Fish, mussels, turtles

    (sometimes) – Determine relocation site – Write Aquatic Resource

    Relocation Plan (ARRP) – Collect the majority of

    aquatic life and relocate

  • Aquatic Resource Relocation Plan • ARRP (any relocation)

    – 10 items detail the relocation • Why, where, how

    – Selection of relocation site • Must be similar

    – Collection methods – Decontamination

    • Clean, drain, dry • Zebra mussels an issue

    – Approved before project begins

    • Obtain introduction permit

  • Dewatering– TRWD Southwest Blvd. Dam

    • Objectives – Collect and relocate aquatic species – Determine presence/absence of listed

    species

    • Collect fish before/during dewatering

    – Electroshocking – Seining

    • Collect mussels and turtles – Visually search – Continue to search as water drops

    • 2 teams – Fish crew – Mussel/turtle crew – Shore area for shade/sorting

  • Summary • More TX mussels may be federally listed soon

    - Change how regulations are implemented in TX • Be aware of the time/effort required

    - Takes time. Plan ahead • Consider your sampling objective • Select design based on objective/field conditions

    This is the spot

    Seriously? Do we also have

    a point at the top of those trees?

  • Questions? David Ford– [email protected]

    Heidi Dunn– [email protected]

    Mussel Surveys, Relocation, and PermittingWhy a Mussel Survey?Most Important Aspect of Determining how to Sample:�Clear Idea of sample objectivesBasic Sample TypesSampling Bias!QuantitativeCommon ObjectivesPresence/AbsenceOsage RiverSemi–Quantitative or QuantitativeDistributionSemi–QuantitativeHabitat MapQuantitativeSystematic Sampling with �Multilple Random Starts��Systematic Sampling with One Random Start��Species Richness/Rare SpeciesQualitativeQualitativeHow Many Mussels Affected or Comparison Over Space or TimeSimple Random SamplingSystematic Sampling with One StartMark RecaptureSlide Number 24Collecting AnimalsWhat Method do I use?Combination of TechniquesCombination: I74 – RelocationI74 – Relocation ProcessI74 – Relocation ProcessI74 – Relocation Results – IllinoisWhat Does This Mean for Texas?Dewatering– TRWD �Southwest Blvd. DamAquatic Resource Relocation PlanDewatering– TRWD �Southwest Blvd. DamSlide Number 36Slide Number 37Questions?