Research on Sahtu (Great Bear Lake) fisheries and the aquatic - - PowerPoint PPT Presentation

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Research on Sahtu (Great Bear Lake) fisheries and the aquatic - - PowerPoint PPT Presentation

Research on Sahtu (Great Bear Lake) fisheries and the aquatic ecosystem: 2000-2015 K.L. Howland, C.P. Gallagher, L. Chavarie, Y. Janjua, M. LeClaire D. Leonard, C. Podemski, D. Simmons, W. Bayha, R.F. Tallman, and W.M. Tonn Field Work


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SLIDE 1

K.L. Howland, C.P. Gallagher, L. Chavarie, Y. Janjua, M. LeClaire

  • D. Leonard, C. Podemski, D. Simmons, W. Bayha, R.F. Tallman, and W.M. Tonn

Research on Sahtu (Great Bear Lake) fisheries and the aquatic ecosystem: 2000-2015

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SLIDE 2

Jane Baptiste Doug Baton Moise Beyonnie Morris Betsidea Gloria Gaudette Les Harris Bruce Kenny Greg Kenny Hughie Kenny Jonas Kenny Mike Legge Morris Lennie Mike Low George Menacho Morris Modeste Nathan Modeste Melissa Lindsay Isreal Neyelle Lyle Neyelle Zoya Pawlychyn Aaron Swietzer Clyde Takazo Lucy Ann Takazo Freddie Vital Cameron Yukon Cyre Yukon Tyrone Yukon Charity Yukon Chris Yukon Jean-Guy Chavarie Archie Vital John Betsidea

Barbara Yukon

Field Work 2000-2014

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SLIDE 3

BRANSON’S LODGE

Areas fished by lodges

ARCTIC CIRCLE LODGE KEITH ARM McVICAR ARM (TAH – 1500) GREAT BEAR LODGE PLUMMERS GREAT BEAR LAKE LODGE GREAT BEAR TROPHY LODGE DELINE (FORT FRANKLIN) GREY GOOSE LODGE KEITH ARM

Subsistence use only

DEASE ARM (TAH – 2000) SMITH ARM (TAH – 2500)

Management zone boundaries

PLUMMER’S GREAT BEAR LAKE LODGE (Original location closed 1968)

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SLIDE 4

1) Fisheries independent monitoring

  • f relative abundance, catch rates and

biological indicators of harvested and unharvested large bodied fish species in all areas of GBL

  • Track changes that may occur

with changing harvest levels, development and the environment (cumulative impacts)

  • Stock assessment - model

sustainable harvest levels

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SLIDE 5

Tirato (Smith Arm) 2006, 2011, 2016 Kwit la (McTavish Arm) 2004, 2009, 2014 Tugacho (Dease Arm) 2005, 2010, 2015

Sahtu (Great Bear Lake)

Tirato (Keith Arm) 2000-2007, 2012 Turili McVicar Arm 2003, 2008, 2013

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SLIDE 6

Methods

  • multi-mesh and large (5 inch) mesh gillnets

(for consistency with previous studies)

  • Sample fish for biological characteristics

(length, weight, age, sex, maturity, etc.)

  • dryfish from sampled fish in remote camps,

for community distribution

  • Collect environmental information:

temperature, depth, pH, clarity, weather conditions

  • Local sampling technicians (2-5) from the

community of Deline hired to assist with the field component each year.

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SLIDE 7
  • toliths

muscle gill rakers gonads pectoral fin Life-history Diet Life-history (fecundity, maturity) stomach Diet Morphology Genetics + Life-history (age) stomach Diet muscle Diet gonads

Biological Sampling for Fish

Weight Length

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SLIDE 8

Area of Great Bear Lake

Keith McVicar McTavish Dease Smith

Age (years)

10 20 30 40

Mean (+1 std) 1984-85 Mean (+1 std) 2000-2006 Mean (+ 1 std) 2007-2011 Mean (+ 1 std) 2012-2016

Trout Mean Age – Lake-wide comparison

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SLIDE 9

Spawner Resting Spawner Resting

Females Males

Lake Trout Maturity

% Spawners in adult component of population:

Smith Arm: Female 29%, Male 53% Dease Arm: Female 48%, Male 77% McTavish Arm: Female 18%, Male 52% Keith Arm: Female 30%, Male 55% McVicar Arm: Female 43%, Male 82%

Minimum age at maturity:

Female Male Smith 10 13 Dease 12 12 McTavish 15 14 McVicar 14 13 Keith 16 13

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SLIDE 10
  • Annual reporting to SRRB and DRRC, meetings
  • Contributions to associated follow-on studies
  • Need for formal science review (DFO Regional

Advisory Process (RAP) meeting) and publishing through DFO Canadian Science Advisory Secretariat.

  • Recommend continued monitoring to allow for

detection of change

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SLIDE 11

Lake trout Harvested stocks (fin clips from lodges):

  • Lack of differentiation among arms due to low levels of gene flow (12/596 =

first generation migrants), recent colonization and large founding populations

2) Compare genetic relationships among fish from different arms of GBL to determine stock structure as it relates to current management zones within GBL

Harris, L., K. Howland, M. Kowalchuk, R. Bajno, M. Lindsay and E. B. Taylor. 2013. Microsatellite and mtDNA Analysis of Lake Trout, Salvelinus namaycush, From Great Bear Lake, Northwest Territories: impacts of historical and contemporary evolutionary forces on Arctic ecosystems. Ecology and Evolution 3:145-161.

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Lake trout Different morphotypes (assessment samples):

  • morphotypes of Lake Trout from GBL are genetically differentiated
  • but…they are still genetically more similar to one another than to outside

populations

  • colonized GBL from a single glacial refugium – intra-lake divergence

2) Compare genetic relationships among fish from different arms of GBL to determine stock structure as it relates to current management zones within GBL

Harris,L., L. Chavarie, R. Bajno, K. Howland, S. Wiley, W. Tonn, and E. Taylor. 2014. Evolution and

  • rigin of sympatric shallow-water morphotypes of Lake Trout, Salvelinus namaycush, in

Canada's Great Bear Lake. Heredity (avail. online, accepted July 14, 2014)

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SLIDE 13

Cisco Different morphotypes (assessment samples):

  • similar to trout, morphotypes of cisco from GBL are genetically differentiated
  • morphs within a lake genetically more similar to one another than to outside

populations

  • similar pattern in lakes across North America
  • nly 2 areas of GBL analysed

2) Compare genetic relationships among fish from different arms of GBL to determine stock structure as it relates to current management zones within GBL

Turgeon, J., S.M. Reid, A. Bourret, T.C. Pratt, K.L. Howland, A.M. Muir, J.D. Reist. Morphological and genetic variation in Cisco (Coregonus artedi) and Shortjaw Cisco (C. zenithicus): Evidence for repeated sympatric origin of Shortjaw Cisco in deep inland lakes. Conservation (submitted)

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SLIDE 14

Further work

  • Lake wide analysis of cisco
  • Analysis of whitefish

2) Compare genetic relationships among fish from different arms of GBL to determine stock structure as it relates to current management zones within GBL

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SLIDE 15

zls

2002

Age (years)

5 10 15 20 25 30 35 40 45

Fork length (mm)

200 400 600 800 1000

1000 mm 600 mm

3) Documentation of morphological variation and ecological roles of major fish species: Lake Trout Growth

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Body Shape Fin and Body Lengths Head Shape 3 morphs identified 4th morph: rare; difficult to identify as a distinct cluster, but distinguished using MANOVA Discrimination Analysis:

N=555 adults UPGMA cluster

88-93% classification success

Chavarie, L., K. Howland and W. Tonn. 2013. An exceptional case study of Lake Trout, Salvelinus namaycush, diversity: the coexistence of multiple shallow-water morphotypes in Great Bear Lake, NT. Transactions of the American Fisheries Society 142:814-823.

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ƛ = 0.075 p≤0.01 (81 %) ƛ = 0.17 p≤0.01 (88 %) ƛ = 0.24 p≤0.01 (74 %) DF2 DF1 CV1 ƛ = 0.078 p≤0.01 (73%) CV2 ƛ = 0.086 p≤0.01 (72 %) ƛ = 0.094 p≤0.01 (59 %) Keith McVicar McTavish Dease Smith

Significant body shape variation within a morph across arms Suggests parallel evolution among arms or several colonization events

Morph 1 Morph 2 Morph 3 Chavarie, L., K. Howland, L. Harris and W.Tonn. 2014. Polymorphism in Lake Trout in Great Bear Lake: intra-lake morphological diversification at two spatial scales. Biological Journal of the Linnaean Society, (avail. online, accepted July 24, 2014)

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SLIDE 18

Sahba forms in shallow water (Tahdǝ gosahbá )

Dárélı̨ GoSahbá (named for outflow of Great Bear

Lake) Sahba that will grow large – scientists identify this type as having a longer head and smaller fins.

Sahba k’áht’a (fin) – scientist identify this type

as having a shorter head and intermediary fins.

Sahba k’áht’a Nedǝ́ *(with long fın) Also lives ın

deep water – scientists identify this type as having a deeper caudal peduncle and longer fins

Sahba Yéhkw’e̩nę́ Hı ̨ zégǝ* (curved jaw) A

newcomer (~20 yrs.) – scientists identify this type by the large lower jaw; it is rare and mostly in one area

  • f Great Bear Lake

S̨ahba Dek’odze (red) Only seen in the spring and

in fall in the shore – not identified as a distinct type by scientists; known as a spawner

*New term developed as cross-cultural tool for dialogue about morphology ; forms known but no Dene name existed

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Diet- Fatty acids

Discriminant analysis: λ= 0.031 p≤0.01

DF1 DF2

Morph 2 Morph 4 Morph 1 Juvenile Morph 3

  • Significant distinction

among morphs, especially Morphs 2 and 4

  • Some overlap among

Morphs 1, 3 and juveniles

Chavarie, L., K. Howland C. Gallagher and W. Tonn. 2014. Fatty acid signatures and stomach contents of four sympatric Lake Trout: assessment of trophic patterns among morphotypes in Great Bear Lake. Ecology of Freshwater Fish (avail. online, accepted September 17, 2014)

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Morph 2 Morph 3

Diet: Stomach contents

Morph 4

Relative index

10 20 30 40 50 60 70 80 90 100

Fish Invertebrate Benthic Pelagic Surface

10 20 30 40 50 60 70 80 90 100

Fish Invertebrate Benthic Pelagic Surface

10 20 30 40 50 60 70 80 90 100

Fish Invertebrate Benthic Pelagic Surface

10 20 30 40 50 60 70 80 90 100

Fish Invertebrate Benthic Pelagic Surface

10 20 30 40 50 60 70 80 90 100

Fish Invertebrate Benthic Pelagic Surface

10 20 30 40 50 60 70 80 90 100

Fish Invertebrate Benthic Pelagic Surface

10 20 30 40 50 60 70 80 90 100

Fish Invertebrate Benthic Pelagic Surface

10 20 30 40 50 60 70 80 90 100

Fish Invertebrate Benthic Pelagic Surface

Morph 1

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SLIDE 21

Morph Age-at- maturity (yrs) Length-at- maturity (mm) Immature growth rate Adult growth rate (K) Reproduction investment Adult L∞

1 17.4 593.4 22.2 0.030 0.090 740.8 2 20.2 703.7 22.1 0.016 0.048 1371.9 3 18.6 581.7 22.3 0.028 0.086 773.7 4 20.2 640.9 22.0 0.027 0.081 809.6

Trout Life history - Biphasic model: results

Classical life-history trade-off Comparable to piscivore life-history Intermediate = Comparable to large benthic morph of Arctic Char? Intermediate = surprising for the most specialized diet? Chavarie et al. submitted (Journal of Great Lakes Research)

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Morph Age-at-maturity Length-at-maturity Adult L∞

1 17.4 593.4 740.8 2 20.2 703.7 1371.9 3 18.6 581.7 773.7 4 20.2 640.9 809.6 South 7.3 454 647 North 10.4 439 647

Trout Life history - Biphasic model

McDermid et al., 2010 Chavarie et al. submitted (Journal of Great Lakes Research)

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SLIDE 23
  • narrower interorbital
  • longer trunk and dorsal
  • longer gill rakers
  • shorter lower arch
  • shorter caudal peduncle
  • wider interorbital
  • shorter trunk and dorsal
  • shorter gill rakers
  • longer lower arch
  • longer caudal peduncle
  • shorter, narrower caudal peduncle*
  • longer snout
  • shorter lumbar length
  • longer pectoral fins*
  • deeper body*
  • longer, wider caudal peduncle
  • shorter snout
  • longer lumbar length
  • shorter pectoral fins
  • shallower body

DFA Axis 1 (68.7%)

  • 6
  • 4
  • 2

2 4 6 8 DFA Axis 2 (27.5%)

  • 6
  • 4
  • 2

2 4 6

S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S S DD D D D D D D D D D D D D D D D DD D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D DD DD D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D S S S S S S S S S S S S S S S S S S S S S S S S D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D D

Keith Arm - Shallow Keith Arm - Deep Dease Arm - Shallow Dease Arm - Deep

92.2% classification success

Wilks' Lambda = .039 Chi-square, p<0.0001

Cisco Morphometric Variation

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SLIDE 24

Cisco diversity in diet

Supported by gut contents, fatty acids, stable isotopes

Shallow (<50 m) Deep (50-100 m) Mysis relicta Copepods

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Size at Age

Age 2 4 6 8 10 12 14 16 18 20 22 24 26 Standard length (mm) 50 100 150 200 250 300

Keith Arm - Shallow Keith Arm - Deep Dease Arm - Shallow Dease Arm - Deep

Howland, K., C. Gallagher, D. Boguski, L. Chavarie, J. Reist, B. Rosenburg and S. Wiley. 2013. Variation in morphology, life history and ecology of cisco in Great Bear Lake, Northwest Territories, Canada. DFO Can. Sci. Advis. Sec. Res. Doc. 2013/106. v + 40 p. ; M. LeClaire, MSc.

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4) Understanding spatial variation in the aquatic ecology of Great Bear Lake:

  • Build on existing time series for large-bodied fish

species to address questions regarding stock status & sustainable harvest levels

  • Address knowledge gaps regarding the lake

ecosystems & the relationships of different ecosystem components to fisheries production

  • Develop baseline from which to assess impacts of

climate change & other anthropogenic drivers on lake ecosystems & harvested fish

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SLIDE 27

Methods - Ecosystem Sampling Design

Inshore (0-2 m) Littoral (3-20 m) Pelagic-profundal (21-50 m) Pelagic-profundal (51-100 m) Pelagic-deep profundal (100-150 m)

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SLIDE 28

Depth Zone Water quality Zooplankton (plankton net) Benthic Inverts (Kick, Ponar grab) Fish (gill nets) 0-2 m

 

Seine only 3-20 m

  

 21-50 m

Lower/ Upper

Lower/ Upper 51-100 m

Lower/ Mid/ Upper

Lower/ Mid/ Upper 100+ m

Lower/ Mid/ Upper

Lower/ Mid/ Upper

Composition, Abundance, Biomass Composition, Abundance, Biomass

Composition, Abundance, Biomass, Demographics

Temp, Chla, DO, pH, Tubidity, Conductivity

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SLIDE 29

Community-based monitoring sites

Off shore (60 m depth) temperature array; zooplankton; benthic invertebrates Nearshore benthic/ terrestrial invertebrates

X

Deline Keith Arm

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SLIDE 30

(Johnson 1975 JFRBC)

Development of thermocline in 2012 -14

Mctavish Arm 23-Jul-2014

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SLIDE 31

Benthic invertebrate abundance Great Bear lake 2012

100 200 300 400 500 600 700 800 900 1000 Red (0-2 m) Yellow (3-20 m) Green (21-50 m) Purple (51-100 m) Blue (100+ m) Number of aquatic invertebrates in a sample Sampling strata

Kick Net Ponar Grab

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SLIDE 32

Local Fisheries- Traditional Ecological Knowledge

Environment, human uses and related stressors

Stressor Great Bear Lk Great Slave Lk

Climate change

Major/ Change in Ice Free period (almost 3 weeks in 30 years) No direct major impact on fisheries yet Major, Change in ice condition Habitat disturbance, Fish diseases, Change in migration Subsistence: Negative/dangerous in winter Commercial: Positive, longer season

Water level

No Major, impact on catches (change in fishing locations, spawning, migration)

Pollution / Water quality

No, Well Controlled Major, Fish diseases & contamination

Mining

No now Major, water level change, contamination

Commercial fisheries

No Minor, Cullage

Sport fisheries

Minor (C&R) Minor, C&R mortality

Tourism

No Little, Speed boats, Spawning grounds

Transport

No Little, Spill

Janjua et al.

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SLIDE 33

Other highlights:

  • New and updated information on species distribution patterns

and communities Surface Mid-water Bottom

Lake Trout McTavish Arm 2014

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SLIDE 34

Further work

  • Lab analyses in progress: zooplankton, benthic invertebrates, fish
  • Examine patterns in distribution, abundance, demographics of fish,

invertebrates

  • relationship to each other, environmental variables,
  • changes over time - historical data, reference approach (CHARS), coring
  • Utilize data in ecosystem and population models as it becomes available

(update Janjua et al. Aquatic Ecosystem Health & Management 2014, Can. Tec.

  • Rep. Fish. Aquat. Sci., in press)
  • Lake trout and cisco studies – ongoing; M.Sc. (M. Leclaire), Post-Doc (L.

Chavarie)

  • Write up TK workshop results (Y. Janjua and L. Chavarie)
  • Years 1 – 3 completed in a 5 year cycle:
  • Continue in Dease Arm (summer 2015)
  • Continue community-based monitoring close to Deline
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SLIDE 35

Thank You! Mahsi Cho!

  • NWT Cumulative Impacts Monitoring Program
  • Sahtu Renewable Resources Board
  • Deline Renewable Resources Council
  • Deline Lands and Finance Corporation
  • GNWT Renewable Resources Deline
  • DFO Hay River, Yellowknife & Inuvik
  • Polar Continental Shelf Project
  • Natural Sciences and Engineering Research Council
  • Canadian Circumpolar Institute
  • Traditional Knowledge, Deline: Paul Modeste, Douglas Baton, John Tutcho, George

Kenny, Morrıs Modeste, Joseph Blondın, Jr., and Alfred Tanıton; community researchers Michael Neyelle &Mavis Baton

  • Field Work 2012: Deline -Darren Kenny, Bobby Modeste, Allison Tatti, Gerald Tutcho,

Archie Vitale; DFO Winnipeg - Dave Boguski, Kristin Hynes

  • Field Work 2013: Deline –Chris Yukon, Archie Vitale, Allison Tatti, Morris Betsidea,

Isodore Betsidea; DFO Winnipeg - Kristen Adair

  • Field Work 2014: Deline –Chris Yukon, Archie Vitale, Morris Betsidea, George

Menacho, Barbara Yukon ; DFO Winnipeg - Dave Boguski, Michel LeClaire

  • Invertebrate analyses: Erica Smith, Lyla Witschi, Michelle Wetton, Sarah Semmler