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

• Published in: Frontiers in Marine Science
• Main Authors: 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
• Format: Article in Journal/Newspaper
• Language: English
• Published: Frontiers Media S.A. 2020
• Subjects: climate change; fishery management strategy; Bering Sea; walleye pollock; Pacific cod; climate projections; Science; Q; General. Including nature conservation; geographical distribution; QH1-199.5; Pacific; Alaska
• Online Access: https://doi.org/10.3389/fmars.2019.00775; https://doaj.org/article/e8f4776f7cd14c3b9e745b05d7624d18

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. ...