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

Authors
  • Hollowed, Anne Babcock1
  • Holsman, Kirstin Kari1
  • Haynie, Alan C.1
  • Hermann, Albert J.2, 3
  • Punt, Andre E.4
  • Aydin, Kerim1
  • Ianelli, James N.1
  • Kasperski, Stephen1
  • Cheng, Wei2, 3
  • Faig, Amanda2, 4
  • Kearney, Kelly A.1, 2
  • Reum, Jonathan C. P.1, 5
  • Spencer, Paul1
  • Spies, Ingrid1
  • Stockhausen, William1
  • Szuwalski, Cody S.1
  • Whitehouse, George A.2, 4
  • Wilderbuer, Thomas K.1
  • 1 Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA , (United States)
  • 2 Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, WA , (United States)
  • 3 Pacific Marine Environmental Laboratory, Oceans and Atmospheric Research, National Oceanic and Atmospheric Administration, Seattle, WA , (United States)
  • 4 School of Aquatic and Fishery Science, College of the Environment, University of Washington, Seattle, WA , (United States)
  • 5 Centre for Marine Socioecology, Institute for Marine and Antarctic Studies, College of Sciences and Engineering, University of Tasmania, Hobart, TAS , (Australia)
Type
Published Article
Journal
Frontiers in Marine Science
Publisher
Frontiers Media S.A.
Publication Date
Jan 14, 2020
Volume
6
Identifiers
DOI: 10.3389/fmars.2019.00775
Source
Frontiers
Keywords
Disciplines
  • Marine Science
  • Original Research
License
Green

Abstract

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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