Uncertainties in a Baltic Sea Food-Web Model Reveal Challenges for Future Projections
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作者:
Niiranen, Susa
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机构:
Stockholm Univ, Stockholm Resilience Ctr, Balt Nest Inst, S-10691 Stockholm, SwedenStockholm Univ, Stockholm Resilience Ctr, Balt Nest Inst, S-10691 Stockholm, Sweden
Niiranen, Susa
[1
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Blenckner, Thorsten
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Stockholm Univ, Stockholm Resilience Ctr, Balt Nest Inst, S-10691 Stockholm, SwedenStockholm Univ, Stockholm Resilience Ctr, Balt Nest Inst, S-10691 Stockholm, Sweden
Blenckner, Thorsten
[1
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Hjerne, Olle
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Stockholm Univ, Dept Syst Ecol, S-10691 Stockholm, SwedenStockholm Univ, Stockholm Resilience Ctr, Balt Nest Inst, S-10691 Stockholm, Sweden
Hjerne, Olle
[2
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Tomczak, Maciej T.
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Stockholm Univ, Stockholm Resilience Ctr, Balt Nest Inst, S-10691 Stockholm, SwedenStockholm Univ, Stockholm Resilience Ctr, Balt Nest Inst, S-10691 Stockholm, Sweden
Tomczak, Maciej T.
[1
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机构:
[1] Stockholm Univ, Stockholm Resilience Ctr, Balt Nest Inst, S-10691 Stockholm, Sweden
[2] Stockholm Univ, Dept Syst Ecol, S-10691 Stockholm, Sweden
Models that can project ecosystem dynamics under changing environmental conditions are in high demand. The application of such models, however, requires model validation together with analyses of model uncertainties, which are both often overlooked. We carried out a simplified model uncertainty and sensitivity analysis on an Ecopath with Ecosim food-web model of the Baltic Proper (BaltProWeb) and found the model sensitive to both variations in the input data of pre-identified key groups and environmental forcing. Model uncertainties grew particularly high in future climate change scenarios. For example, cod fishery recommendations that resulted in viable stocks in the original model failed after data uncertainties were introduced. In addition, addressing the trophic control dynamics produced by the food-web model proved as a useful tool for both model validation, and for studying the food-web function. These results indicate that presenting model uncertainties is necessary to alleviate ecological surprises in marine ecosystem management.
机构:
Univ Calif San Diego, Scripps Inst Oceanog, Integrat Oceanog Div, 9500 Gilman Dr, La Jolla, CA 92093 USAUniv Calif San Diego, Scripps Inst Oceanog, Integrat Oceanog Div, 9500 Gilman Dr, La Jolla, CA 92093 USA
Landry, Michael R.
Beckley, Lynnath E.
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Murdoch Univ, Sch Vet & Life Sci, Environm & Conservat Sci, 90 South St, Murdoch, WA 6150, AustraliaUniv Calif San Diego, Scripps Inst Oceanog, Integrat Oceanog Div, 9500 Gilman Dr, La Jolla, CA 92093 USA
Beckley, Lynnath E.
Muhling, Barbara A.
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机构:
Univ Calif Santa Cruz, CIMEC, La Jolla, CA USA
NOAA, Southwest Fisheries Sci Ctr, La Jolla, CA USAUniv Calif San Diego, Scripps Inst Oceanog, Integrat Oceanog Div, 9500 Gilman Dr, La Jolla, CA 92093 USA