Integrated Modeling to Evaluate Climate Change Impacts on Coupled Social-Ecological Systems in Alaska
The Alaska Climate Integrated Modeling (ACLIM) project represents a comprehensive, multi-year, interdisciplinary effort to characterize and project climate-driven changes to the eastern Bering Sea (EBS) ecosystem, from physics to fishing communities. Results from the ACLIM project are being used to...
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Online Access: | https://doi.org/10.3389/fmars.2019.00775 https://doaj.org/article/e8f4776f7cd14c3b9e745b05d7624d18 |
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ftdoajarticles:oai:doaj.org/article:e8f4776f7cd14c3b9e745b05d7624d18 2023-05-15T15:43:41+02:00 Integrated Modeling to Evaluate Climate Change Impacts on Coupled Social-Ecological Systems in Alaska Anne Babcock Hollowed Kirstin Kari Holsman Alan C. Haynie Albert J. Hermann Andre E. Punt Kerim Aydin James N. Ianelli Stephen Kasperski Wei Cheng Amanda Faig Kelly A. Kearney Jonathan C. P. Reum Paul Spencer Ingrid Spies William Stockhausen Cody S. Szuwalski George A. Whitehouse Thomas K. Wilderbuer 2020-01-01T00:00:00Z https://doi.org/10.3389/fmars.2019.00775 https://doaj.org/article/e8f4776f7cd14c3b9e745b05d7624d18 EN eng Frontiers Media S.A. https://www.frontiersin.org/article/10.3389/fmars.2019.00775/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2019.00775 https://doaj.org/article/e8f4776f7cd14c3b9e745b05d7624d18 Frontiers in Marine Science, Vol 6 (2020) climate change fishery management strategy Bering Sea walleye pollock Pacific cod climate projections Science Q General. Including nature conservation geographical distribution QH1-199.5 article 2020 ftdoajarticles https://doi.org/10.3389/fmars.2019.00775 2022-12-31T16:33:59Z The Alaska Climate Integrated Modeling (ACLIM) project represents a comprehensive, multi-year, interdisciplinary effort to characterize and project climate-driven changes to the eastern Bering Sea (EBS) ecosystem, from physics to fishing communities. Results from the ACLIM project are being used to understand how different regional fisheries management approaches can help promote adaptation to climate-driven changes to sustain fish and shellfish populations and to inform managers and fishery dependent communities of the risks associated with different future climate scenarios. The project relies on iterative communications and outreaches with managers and fishery-dependent communities that have informed the selection of fishing scenarios. This iterative approach ensures that the research team focuses on policy relevant scenarios that explore realistic adaptation options for managers and communities. Within each iterative cycle, the interdisciplinary research team continues to improve: methods for downscaling climate models, climate-enhanced biological models, socio-economic modeling, and management strategy evaluation (MSE) within a common analytical framework. The evolving nature of the ACLIM framework ensures improved understanding of system responses and feedbacks are considered within the projections and that the fishing scenarios continue to reflect the management objectives of the regional fisheries management bodies. The multi-model approach used for projection of biological responses, facilitates the quantification of the relative contributions of climate forcing scenario, fishing scenario, parameter, and structural uncertainty with and between models. Ensemble means and variance within and between models inform risk assessments under different future scenarios. The first phase of projections of climate conditions to the end of the 21st century is complete, including projections of catch for core species under baseline (status quo) fishing conditions and two alternative fishing scenarios are discussed. ... Article in Journal/Newspaper Bering Sea Alaska Directory of Open Access Journals: DOAJ Articles Bering Sea Pacific Frontiers in Marine Science 6 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
climate change fishery management strategy Bering Sea walleye pollock Pacific cod climate projections Science Q General. Including nature conservation geographical distribution QH1-199.5 |
spellingShingle |
climate change fishery management strategy Bering Sea walleye pollock Pacific cod climate projections Science Q General. Including nature conservation geographical distribution QH1-199.5 Anne Babcock Hollowed Kirstin Kari Holsman Alan C. Haynie Albert J. Hermann Andre E. Punt Kerim Aydin James N. Ianelli Stephen Kasperski Wei Cheng Amanda Faig Kelly A. Kearney Jonathan C. P. Reum Paul Spencer Ingrid Spies William Stockhausen Cody S. Szuwalski George A. Whitehouse Thomas K. Wilderbuer Integrated Modeling to Evaluate Climate Change Impacts on Coupled Social-Ecological Systems in Alaska |
topic_facet |
climate change fishery management strategy Bering Sea walleye pollock Pacific cod climate projections Science Q General. Including nature conservation geographical distribution QH1-199.5 |
description |
The Alaska Climate Integrated Modeling (ACLIM) project represents a comprehensive, multi-year, interdisciplinary effort to characterize and project climate-driven changes to the eastern Bering Sea (EBS) ecosystem, from physics to fishing communities. Results from the ACLIM project are being used to understand how different regional fisheries management approaches can help promote adaptation to climate-driven changes to sustain fish and shellfish populations and to inform managers and fishery dependent communities of the risks associated with different future climate scenarios. The project relies on iterative communications and outreaches with managers and fishery-dependent communities that have informed the selection of fishing scenarios. This iterative approach ensures that the research team focuses on policy relevant scenarios that explore realistic adaptation options for managers and communities. Within each iterative cycle, the interdisciplinary research team continues to improve: methods for downscaling climate models, climate-enhanced biological models, socio-economic modeling, and management strategy evaluation (MSE) within a common analytical framework. The evolving nature of the ACLIM framework ensures improved understanding of system responses and feedbacks are considered within the projections and that the fishing scenarios continue to reflect the management objectives of the regional fisheries management bodies. The multi-model approach used for projection of biological responses, facilitates the quantification of the relative contributions of climate forcing scenario, fishing scenario, parameter, and structural uncertainty with and between models. Ensemble means and variance within and between models inform risk assessments under different future scenarios. The first phase of projections of climate conditions to the end of the 21st century is complete, including projections of catch for core species under baseline (status quo) fishing conditions and two alternative fishing scenarios are discussed. ... |
format |
Article in Journal/Newspaper |
author |
Anne Babcock Hollowed Kirstin Kari Holsman Alan C. Haynie Albert J. Hermann Andre E. Punt Kerim Aydin James N. Ianelli Stephen Kasperski Wei Cheng Amanda Faig Kelly A. Kearney Jonathan C. P. Reum Paul Spencer Ingrid Spies William Stockhausen Cody S. Szuwalski George A. Whitehouse Thomas K. Wilderbuer |
author_facet |
Anne Babcock Hollowed Kirstin Kari Holsman Alan C. Haynie Albert J. Hermann Andre E. Punt Kerim Aydin James N. Ianelli Stephen Kasperski Wei Cheng Amanda Faig Kelly A. Kearney Jonathan C. P. Reum Paul Spencer Ingrid Spies William Stockhausen Cody S. Szuwalski George A. Whitehouse Thomas K. Wilderbuer |
author_sort |
Anne Babcock Hollowed |
title |
Integrated Modeling to Evaluate Climate Change Impacts on Coupled Social-Ecological Systems in Alaska |
title_short |
Integrated Modeling to Evaluate Climate Change Impacts on Coupled Social-Ecological Systems in Alaska |
title_full |
Integrated Modeling to Evaluate Climate Change Impacts on Coupled Social-Ecological Systems in Alaska |
title_fullStr |
Integrated Modeling to Evaluate Climate Change Impacts on Coupled Social-Ecological Systems in Alaska |
title_full_unstemmed |
Integrated Modeling to Evaluate Climate Change Impacts on Coupled Social-Ecological Systems in Alaska |
title_sort |
integrated modeling to evaluate climate change impacts on coupled social-ecological systems in alaska |
publisher |
Frontiers Media S.A. |
publishDate |
2020 |
url |
https://doi.org/10.3389/fmars.2019.00775 https://doaj.org/article/e8f4776f7cd14c3b9e745b05d7624d18 |
geographic |
Bering Sea Pacific |
geographic_facet |
Bering Sea Pacific |
genre |
Bering Sea Alaska |
genre_facet |
Bering Sea Alaska |
op_source |
Frontiers in Marine Science, Vol 6 (2020) |
op_relation |
https://www.frontiersin.org/article/10.3389/fmars.2019.00775/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2019.00775 https://doaj.org/article/e8f4776f7cd14c3b9e745b05d7624d18 |
op_doi |
https://doi.org/10.3389/fmars.2019.00775 |
container_title |
Frontiers in Marine Science |
container_volume |
6 |
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1766377872591683584 |