Integrated Modeling to Evaluate Climate Change Impacts on Coupled Social-Ecological Systems in Alaska

被引:64
|
作者
Hollowed, Anne Babcock [1 ]
Holsman, Kirstin Kari [1 ]
Haynie, Alan C. [1 ]
Hermann, Albert J. [2 ,3 ]
Punt, Andre E. [4 ]
Aydin, Kerim [1 ]
Ianelli, James N. [1 ]
Kasperski, Stephen [1 ]
Cheng, Wei [2 ,3 ]
Faig, Amanda [2 ,4 ]
Kearney, Kelly A. [1 ,2 ]
Reum, Jonathan C. P. [1 ,5 ]
Spencer, Paul [1 ]
Spies, Ingrid [1 ]
Stockhausen, William [1 ]
Szuwalski, Cody S. [1 ]
Whitehouse, George A. [2 ,4 ]
Wilderbuer, Thomas K. [1 ]
机构
[1] NOAA, Alaska Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA 98115 USA
[2] Univ Washington, Joint Inst Study Atmosphere & Ocean, Seattle, WA 98195 USA
[3] NOAA, Pacific Marine Environm Lab, Oceans & Atmospher Res, 7600 Sand Point Way Ne, Seattle, WA 98115 USA
[4] Univ Washington, Coll Environm, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA
[5] Univ Tasmania, Ctr Marine Socioecol, Inst Marine & Antarctic Studies, Coll Sci & Engn, Hobart, Tas, Australia
关键词
climate change; fishery management strategy; Bering Sea; walleye pollock; Pacific cod; climate projections; EASTERN BERING-SEA; POLLOCK THERAGRA-CHALCOGRAMMA; WALLEYE POLLOCK; ECONOMIC-IMPACTS; BIAS CORRECTION; FUTURE CLIMATE; MANAGEMENT; FISHERY; OCEAN; RESPONSES;
D O I
10.3389/fmars.2019.00775
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. The ACLIM modeling framework serves as a guide for multidisciplinary integrated climate impact and adaptation decision making in other large marine ecosystems.
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页数:18
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