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![Page 1: Stable isotope evidence for mechanisms by which climate- driven variations in phytoplankton growth influence higher trophic levels Clive N Trueman, Kirsteen.](https://reader038.fdocuments.us/reader038/viewer/2022103112/551c48f3550346a5458b4927/html5/thumbnails/1.jpg)
Stable isotope evidence for mechanisms by which climate-driven variations in phytoplankton growth influence higher trophic levels
Clive N Trueman, Kirsteen M MacKenzie
![Page 2: Stable isotope evidence for mechanisms by which climate- driven variations in phytoplankton growth influence higher trophic levels Clive N Trueman, Kirsteen.](https://reader038.fdocuments.us/reader038/viewer/2022103112/551c48f3550346a5458b4927/html5/thumbnails/2.jpg)
WESSEX SALMON and RIVERS TRUST
Acknowledgements
Particular thanks to Cathy Cole, Ed Westwood & Mike Bolshaw (UoS), Anton Ibbotson & Bill Beaumont (CEH/GWCT), Andy Moore, Bill Riley & Barry Bendall (Cefas), & Ian Davidson (EA)
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Climate effects on high trophic levels
• Physiological mechanisms connecting SST and trophic cascades are less clear
• This hampers prediction of response of plankton and higher trophic levels to future warming (more or less production at higher SST?)
• Here we use high trophic level animals (Atlantic salmon) as natural samplers to probe connections between climate (SST), plankton and higher trophic levels
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Stable isotopes in ecology
15N
13C
Primary producer
Primary consumer
Secondary consumer
t-d
Graham et al., 2009
Low growthHigh [CO2]aq
High growthLow [CO2]aq
Laws et al., 1995, Cassar et al., 2005
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Atlantic salmon as natural autonomous samplers
• Feed in open ocean and return to natal river
• Occupy waters significantly cooler than growth optimum
• Cultural and economic interest – abundant archives
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Apatite
Collagen
Scales as a target for isotope analysis
Hutchinson & Trueman, 2006
© Guy Mawle
W
Last season of marine growth
Fish sample the physiological status of plankton integrated over an 8 month feeding season
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N = 235
N = 289
Todd et al 2008
Scales sampled from fish returning to two UK areas…
..sampling marine conditions in feeding grounds
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Frome 1SW
Frome MSW
NEC 1SW
NEC MSW
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SST
d13C
SSTd13C
Identifying Marine Location
Time TimeTime
d13C
Time
SST
TimeSST
Time
d13C
Unlikely Likely
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Results: Feeding areas identified
NECM
NECG
RFG
RFM
• New method to identify location in migratory pelagic fish• Use these results to
investigate SST – plankton relationships in the areas sampled by the salmon
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19871988
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/[CO2]aq13
C org
-ve
+ve
Low growthHigh [CO2]aq
High growthLow [CO2]aq
All significant relationships between SST and d13C values are negative
As the solubility of [CO2]aq decreases with increasing SST, the negative slope implies either a reduction in mean plankton growth rates, or reduced removal of [CO2]aq with increasing SST
warmer years
colder years
Plankton growth rates and/or production fell with increasing SST in sub arctic N Atlantic
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Possibility to predict magnitude of the resposnce of primary production to SST change in a region-specific fashion
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Conclusions• Across much of the sub-
arctic NE Atlantic, increases in SST are linked with DECREASES in average phytoplankton growth rate
• Impacts on predictions of fish production in high latitudes under climate warming scenarios
• Fish tissue isotopes may provide an indirect proxy for plankton growth rates
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Higher trophic level effects - Temporal (mass standardised) d15N
River Frome: 14 to 15 year cycles Northeast Coast: 7 to 9 year cycles
0 5 10 15
-0.5
0.0
0.5
1.0
Lag
ACF
Series NCMcNTS
0 5 10 15
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
Lag
ACF
Series NCGcNTS
NECG NECM
NECMNECG
Lag (Years) Lag (Years)0 5 10 15
-0.5
0.0
0.5
1.0
Lag
ACF
Series RFMcNTS
0 5 10 15
-0.5
0.0
0.5
1.0
Lag
ACF
Series RFGcNTS
RFG RFM
RFG RFM
Lag (Years) Lag (Years)
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Results: Trophic variation and herring
Salmon trophic level (δ15N values) vary with Scottish herring abundance (SSB) for both cohorts of the River Frome population.
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ºC dependant
Temporal d13C variation
0 5 10 15
-0.5
0.0
0.5
1.0
Lag
ACF
Series NCGCTS
0 5 10 15
-0.5
0.0
0.5
1.0
Lag
ACF
Series NCMCTS
NECG NECM
NECMNECGNECG
River Frome: 14 to 15 year cycles Northeast Coast: 7 to 9 year cycles
RFMRFG
0 5 10 15
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
Lag
ACF
Series RFMCTS
0 5 10 15
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
Lag
ACF
Series RFGCTS
RFG RFM
Lag (Years) Lag (Years)Lag (Years) Lag (Years)
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Salmon - temperature relationship
Complex pattern of positive and negative correlations with SST
Positive Responses Negative Responses
Post smolt growth 1SW growth
Increased size R. Dee returns Decreased size R. Esk
Reduced condition of returns
1SW European returns 2SW Scottish returns
Suggesting differential response to SST in different stocks that likely feed in different regions
Possible direct and indirect effects of changes in SST – indirect effects linked to bottom-up control through SST effects on primary production
(Friedland et al 1993; 1998; 2005; Todd et al., 2008; ICES 2009)
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Summary• Spring-summer plankton growth rates appear to fall
with increasing SST in the sub-arctic N Atlantic
• Suggests a mechanism for negative impacts of increased SST on salmon growth via bottom-up control
• Supported by a (weak) relationship between herring SSB and salmon d15N values
• Fish tissues can provide a good record of climate – plankton – ecosystem linkages providing location of feeding is well known