Biological ensemble modeling to evaluate potential futures of living marine resources
Natural resource management requires approaches to understand and handle sources of uncertainty in future responses of complex systems to human activities. Here we present one such approach, the “biological ensemble modeling approach,” using the Eastern Baltic cod ( Gadus morhua callarias ) as an ex...
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ftdatacite:10.6084/m9.figshare.c.3295886.v1 2023-05-15T16:19:21+02:00 Biological ensemble modeling to evaluate potential futures of living marine resources Gårdmark, Anna Lindegren, Martin Neuenfeldt, Stefan Blenckner, Thorsten Heikinheimo, Outi Müller-Karulis, Bärbel Susa Niiranen Tomczak, Maciej T. Aro, Eero Wikström, Anders Möllmann, Christian 2016 https://dx.doi.org/10.6084/m9.figshare.c.3295886.v1 https://figshare.com/collections/Biological_ensemble_modeling_to_evaluate_potential_futures_of_living_marine_resources/3295886/1 unknown Figshare https://dx.doi.org/10.1890/12-0267.1 https://dx.doi.org/10.6084/m9.figshare.c.3295886 CC-BY http://creativecommons.org/licenses/by/3.0/us CC-BY Environmental Science Ecology FOS Biological sciences Collection article 2016 ftdatacite https://doi.org/10.6084/m9.figshare.c.3295886.v1 https://doi.org/10.1890/12-0267.1 https://doi.org/10.6084/m9.figshare.c.3295886 2021-11-05T12:55:41Z Natural resource management requires approaches to understand and handle sources of uncertainty in future responses of complex systems to human activities. Here we present one such approach, the “biological ensemble modeling approach,” using the Eastern Baltic cod ( Gadus morhua callarias ) as an example. The core of the approach is to expose an ensemble of models with different ecological assumptions to climate forcing, using multiple realizations of each climate scenario. We simulated the long-term response of cod to future fishing and climate change in seven ecological models ranging from single-species to food web models. These models were analyzed using the “biological ensemble modeling approach” by which we (1) identified a key ecological mechanism explaining the differences in simulated cod responses between models, (2) disentangled the uncertainty caused by differences in ecological model assumptions from the statistical uncertainty of future climate, and (3) identified results common for the whole model ensemble. Species interactions greatly influenced the simulated response of cod to fishing and climate, as well as the degree to which the statistical uncertainty of climate trajectories carried through to uncertainty of cod responses. Models ignoring the feedback from prey on cod showed large interannual fluctuations in cod dynamics and were more sensitive to the underlying uncertainty of climate forcing than models accounting for such stabilizing predator–prey feedbacks. Yet in all models, intense fishing prevented recovery, and climate change further decreased the cod population. Our study demonstrates how the biological ensemble modeling approach makes it possible to evaluate the relative importance of different sources of uncertainty in future species responses, as well as to seek scientific conclusions and sustainable management solutions robust to uncertainty of food web processes in the face of climate change. Article in Journal/Newspaper Gadus morhua DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Environmental Science Ecology FOS Biological sciences |
spellingShingle |
Environmental Science Ecology FOS Biological sciences Gårdmark, Anna Lindegren, Martin Neuenfeldt, Stefan Blenckner, Thorsten Heikinheimo, Outi Müller-Karulis, Bärbel Susa Niiranen Tomczak, Maciej T. Aro, Eero Wikström, Anders Möllmann, Christian Biological ensemble modeling to evaluate potential futures of living marine resources |
topic_facet |
Environmental Science Ecology FOS Biological sciences |
description |
Natural resource management requires approaches to understand and handle sources of uncertainty in future responses of complex systems to human activities. Here we present one such approach, the “biological ensemble modeling approach,” using the Eastern Baltic cod ( Gadus morhua callarias ) as an example. The core of the approach is to expose an ensemble of models with different ecological assumptions to climate forcing, using multiple realizations of each climate scenario. We simulated the long-term response of cod to future fishing and climate change in seven ecological models ranging from single-species to food web models. These models were analyzed using the “biological ensemble modeling approach” by which we (1) identified a key ecological mechanism explaining the differences in simulated cod responses between models, (2) disentangled the uncertainty caused by differences in ecological model assumptions from the statistical uncertainty of future climate, and (3) identified results common for the whole model ensemble. Species interactions greatly influenced the simulated response of cod to fishing and climate, as well as the degree to which the statistical uncertainty of climate trajectories carried through to uncertainty of cod responses. Models ignoring the feedback from prey on cod showed large interannual fluctuations in cod dynamics and were more sensitive to the underlying uncertainty of climate forcing than models accounting for such stabilizing predator–prey feedbacks. Yet in all models, intense fishing prevented recovery, and climate change further decreased the cod population. Our study demonstrates how the biological ensemble modeling approach makes it possible to evaluate the relative importance of different sources of uncertainty in future species responses, as well as to seek scientific conclusions and sustainable management solutions robust to uncertainty of food web processes in the face of climate change. |
format |
Article in Journal/Newspaper |
author |
Gårdmark, Anna Lindegren, Martin Neuenfeldt, Stefan Blenckner, Thorsten Heikinheimo, Outi Müller-Karulis, Bärbel Susa Niiranen Tomczak, Maciej T. Aro, Eero Wikström, Anders Möllmann, Christian |
author_facet |
Gårdmark, Anna Lindegren, Martin Neuenfeldt, Stefan Blenckner, Thorsten Heikinheimo, Outi Müller-Karulis, Bärbel Susa Niiranen Tomczak, Maciej T. Aro, Eero Wikström, Anders Möllmann, Christian |
author_sort |
Gårdmark, Anna |
title |
Biological ensemble modeling to evaluate potential futures of living marine resources |
title_short |
Biological ensemble modeling to evaluate potential futures of living marine resources |
title_full |
Biological ensemble modeling to evaluate potential futures of living marine resources |
title_fullStr |
Biological ensemble modeling to evaluate potential futures of living marine resources |
title_full_unstemmed |
Biological ensemble modeling to evaluate potential futures of living marine resources |
title_sort |
biological ensemble modeling to evaluate potential futures of living marine resources |
publisher |
Figshare |
publishDate |
2016 |
url |
https://dx.doi.org/10.6084/m9.figshare.c.3295886.v1 https://figshare.com/collections/Biological_ensemble_modeling_to_evaluate_potential_futures_of_living_marine_resources/3295886/1 |
genre |
Gadus morhua |
genre_facet |
Gadus morhua |
op_relation |
https://dx.doi.org/10.1890/12-0267.1 https://dx.doi.org/10.6084/m9.figshare.c.3295886 |
op_rights |
CC-BY http://creativecommons.org/licenses/by/3.0/us |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.c.3295886.v1 https://doi.org/10.1890/12-0267.1 https://doi.org/10.6084/m9.figshare.c.3295886 |
_version_ |
1766005726584504320 |