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Fish and epibenthic Fish and epibenthic assemblages in the Chukchi assemblages in the Chukchi
Sea: observations and Sea: observations and predictionspredictions
BA Bluhm, BL Norcross, K Iken, F Huettmann, BA Holladay (all University of Alaska Fairbanks), BI Sirenko (Zoological
Institute RAS)
Demersal fish and Demersal fish and epifaunaepifauna
• Plumb-staff beam trawl, 7 mm mesh (4 mm in cod end)
• 2-5 min hauls on bottom
• Sort, count, weight, identify
• 2004-2009, 165 fish st, 42 epifauna st
Why care?Why care?• Commitment to
Circum-polar Biodiversity Monitoring Program (Arctic Council)
•Climate signal integrators•Prey for subsistence species•Species of potential subsistence and commercial fisheries (snow crab)•Contribution to carbon cycling
Transform: Square root
Resemblance: S17 Bray Curtis similarity
SIMPRsqrt5%hijlgfbdceak
2D Stress: 0.22
Transform: Square rootResemblance: S17 Bray Curtis similarity
dhijcfegba
Similarity30
2D Stress: 0.22
NorthCoastal
Central
Northeast
East Siberian Sea
Herald Valley
Coastal
Central east
Southwest
Faunal Faunal similaritysimilarity
Fish
Fish-Epifauna
Chukotka
Alaska
East Siberian Sea
Wrangel Isl. Herald Canyon
Icy Cape
ClusterNo of stn
Used for prediction
67 north16 northeast44 central21 coastal64425
Observed fish Observed fish assemblagesassemblages
Clustering based on fish biomass, square-root transformed, Bray-Curtis similarity
Chukotka
Alaska
East Siberian Sea
Wrangel Isl. Herald Canyon
Icy Cape
ClusterNo of stn
Used for prediction
67 north16 northeast44 central21 coastal64425
Characteristic speciesCharacteristic species
Taxa contributing ≥10% to within cluster similarity
Observed fish-epifauna Observed fish-epifauna assemblagesassemblages
Kotzebue Sound
Bering Strait
Point HopeCluster No of stn Cluster name
9 East Siberian Sea5 Herald Valley5 central east5 southwest433 coastal3
Clustering based on fish and epifauna biomass, square-root transformed, Bray-Curtis similarity
Characteristic speciesCharacteristic species
Kotzebue Sound
Bering Strait
Point HopeCluster No of stn Cluster name
9 East Siberian Sea5 Herald Valley5 central east5 southwest433 coastal3
Taxa contributing ≥10% to within cluster similarity (fish species contributed ≤7%)Mean fish biomass per cluster 2-10% of total haul biomass
Environmental variables Environmental variables consideredconsidered
Variable Unit SourceDistance to mean summer ice edge
MetersU.S. National Ice Center
Bottom temperature
ºC
Compiled by S. Okkonen (Univ. of Alaska Fairbanks) for PacMARS project
Integrated chlorophyll a concentration
Mg chl a/m2
Matrai et al., integrated by C. Ashjian (WHOI) for PacMARS
Water depth Meters IBCAO
Grain size% phi 5 (silt)
J. Grebmeier, U Maryland, compiled for PacMARS
Sea surface Temp. (10 m)
ºC World Ocean Atlas
Bottom salinity PSUCompiled by S. Okkonen (UAF) for PacMARS
Variable Unit Source
Aspect Degrees IBCAODistance to run-off
Meters R-ArcticNet
Slope Degrees IBCAODistance to coast
MetersWorldcoastline webportal
Sea surface salinity
PSU World Ocean Atlas
Silicate conc.Mmol/m3 World Ocean Atlas
Phosphate concentration
Mmol/m3 World Ocean Atlas
Apparent O2 utilization
Mol O2/m3 World Ocean Atlas
Predicted Predicted assemblagassemblag
eses
north
coastal
central
northeast
Bering Sea
Bathymetry (m)0 - 25
26 - 50
51 - 75
76 - 150
151 - 1000
1001 - 4000
Chukotka
Alaska
East Siberian SeaWrangel Isl. Herald Canyon
Icy Cape
ClusterNo of
stnUsed for prediction
67 north16 northeast44 central21 coastal64425
EnvironmentEnvironmental niches for al niches for
fish fish assemblagesassemblages
North: near mean summer sea ice extent, low bottom temperature
Central : high chlorophyll a, near ice edge, muddy sediment, >40 m
Coastal: near coast, high surface and bottom temperatures, far from ice edge
Northeast: coarse sediment, <40 m, high(er) bottom temperature, rel. low chlorophyll
north
coastal
central northeast
Thanks!Thanks!• Funding through RUSALCA
(NOAA-CIFAR), PEW Environmental Group (US Arctic Program), CMI (Fish),
• Species identifications aided by Drs L Cole, K Coyle, D Fautin, A Gebruk, M Hoberg, P Kuklinski, C Mah, CW Mecklenburg, E Rodriguez, A Rogaecheva, I Smirnov, O Tendal
• Vessel support, Ship crews and trawl teams of Prof. Khromov, Oscar Dyson /AFSC/NOAA, Oshoru Maru / Hokkaido Univ.
Temporal comparison of Temporal comparison of epifauna and food web in epifauna and food web in the southern Chukchi Sea the southern Chukchi Sea (2004, 2009, 2012): First (2004, 2009, 2012): First
resultsresults
BA Bluhm, KB Iken, C Serratos (all University of Alaska Fairbanks), B Sirenko (Zoological Institute RAS)
Why care?Why care?Food web•Carbon flow•Food web length – carbon transfer efficiency•Pelagic-benthic coupling
Epifauna•Climate signal integrators (long-lived)•Prey for subsistence species•Species of potential subsistence and commercial fisheries (snow crab)•Contribution to carbon cycling•Commitment to Circum-polar Biodiversity Monitoring Program (Arctic Council)
• Plumb-staff beam trawl, 7 mm mesh (4 mm in cod end)
• 2-5 min hauls on bottom
• Sort, count, weight, identify
Time series stationsTime series stations
EC
AF
B
G
Chukchi Sea
D
Bering Sea
AW BSW
ACW
Freshwater inflow,gravel
Hard substrate
Biomass and Biomass and compositioncomposition
Caveat: No replicate trawl hauls
0
20000
40000
60000
80000
100000
120000
CL10
-04
CL10
-09
CL10
-12
CL8-
04CL
8-09
CL8-
12CL
6-04
CL6-
04CL
6-12
CS8-
04CS
8-09
CS8-
12CL
3-04
CL3-
09CL
3-12
CL1-
04CL
1-09
CL1-
12CS
17-0
4CS
17-0
9CS
17-1
2
Biom
ass (
gram
wet
wei
ght 1
000
m-2
)
Station and year
OtherAscidiaceaEchinodermataArthropodaMolluskaCnidaria
A BC G D
E F
Russian coast
Anadyr Water
Alaskan coast
Bering ShelfWater
Snow crab: Snow crab:
abundant but abundant but
small in Chukchismall in Chukchi
0
10
20
30
40
50
60
20 30 40 50 60 70 80
Abso
lute
freq
uenc
y
Carapace width (mm)
Chukchi Sea males
0
2
4
6
8
10
12
14
16
18
20
18 38 58 78 98 118 138
Abso
lute
freq
uenc
y
Carapace width (mm)
Beaufort Sea males
SCI2 SCI3
Mean 69SD 29N=344
Mean 40SD 11N=2669
0
20
40
60
80
100
120
140
160
0 100 200 300 400 500
Cara
pace
wid
th (m
m)
Water depth (m)
Males
Mature females
Immature females
Transform: Fourth rootResemblance: S17 Bray Curtis similarity
StationABCDEFG
Similarity40
2004
2004
2004
20042004
2004
2004
2009
20092009
20092009
20092009
2012
2012
2012
2012
2012
2012 2012
2D Stress: 0.17
Community structure Community structure stablestable
Anadyr Water
Point Hope
Russian coast
Coastal Current
Food web – trophic Food web – trophic levelslevels
4
6
8
10
12
14
16
18 20092004
AW ACW AW ACW
δ15N
POMSurface deposit - bivalves
Neptunea sp.
Pagurus rathbuni
Leptasterias sp. Nephtys sp.
Hyas coarctatusChionoecetes opilioArgis larGymnocanthus tricuspisMyoxocephalus scorpiusLumpenus fabriciiBoreogadus saida
Strongylocentrotus droebach.
AW consumers depleted in δ15N compared to ACW in both yearsUse of fresher (=isotopically light) material through shorter food chains in AW
2012
Food web – carbon Food web – carbon sourcesource
-25
-24
-23
-22
-21
-20
-19
-18
-17
-16
-15
-14 20092004
AW ACW AW ACW
δ13C
POMSurface deposit - bivalves
Neptunea sp.
Pagurus rathbuni
Leptasterias sp. Nephtys sp.
Hyas coarctatusChionoecetes opilioArgis larGymnocanthus tricuspisMyoxocephalus scorpiusLumpenus fabriciiBoreogadus saida
Strongylocentrotus droebach.
Consumer δ13C depleted in ACW – possible freshwater signalDepleted δ13C POM in AW in 2009
– strong freshwater signal in 2009
2004 results: Iken K et al (2010) Deep-Sea Research II 57: 71-85
2012
Learned so far?Learned so far?Food web•Food web reflects water masses (tight pelagic-benthic coupling in AW)•Food web structure stable between 2004 and 2009•Food source signal variable at point measurement
Epifauna•Biomass variable between years•Individual species can drive tends (stock fluctuations in snow crab?•Community structure stable in area, different by substrate and water mass•Combination of metrics tell more than one metric
Thanks!Thanks!• Funding through NOAA-CIFAR
NA08OAR4320870, CIFAR IPY• Ship crews and trawl team of
Prof. Khromov, B. Holladay• Crab funding (CMI, BOEM), and
lab team• Stable isotope lab team• Species identifications aided by
Drs L Cole, K Coyle, D Fautin, A Gebruk, M Hoberg, P Kuklinski, C Mah, CW Mecklenburg, E Rodriguez, A Rogaecheva, I Smirnov, O Tendal
RUSALCA Synthesis - RUSALCA Synthesis - BioBio
Need from phys-chem-geo•Spatial and temporal patterns of environmental conditions on different scales (next slide) for water column and (near) bottom (latitude / longitude, depth, value)
•Joint interpretation!
•Mapping support across projects for special issue?
Bio: Have•Species distributions•Community distributions•Biomass / abundance distributions•Food web•Some fluxes•Some rates (benthic respiration, copepod egg production)•Variability / change over time (to varying degrees)
Life cycles provide Life cycles provide integration scalesintegration scales
Day month year decade century
µm mm cm dm m
Bacteria larvae zooplankton fishes benthos mammals
Possible papersPossible papers• One overarching highlights paper (or extended
editorial to special issue)• Regional highlight, system description as multi-
year composite: Herald Canyon area• Temporal variability highlight: focus on DBO 3
•All multidisciplinary, multi-author, multinational•Unique and complementary to other synthesis efforts•Need lead team (Russia/USA) or interdisciplinary post-doc based in both countries (Liza-Maria concept)
RUSALCA Synthesis - RUSALCA Synthesis - BioBio
Future Need next decade?•Continue time series (minimum DBO transect 3?)•Increased integration with phys-chem-geo•More rates: Current rates, e.g. grazing, growth, age•Future rates through experiments?•Thermal windows and physiological plasticity?•Link to sea ice?•Predictive capability?•Carbon flux model?
•Interdisciplinary post-docs with Russia-US advisory team, based in two countries?