open access publication

Article, 2024

Development of climate informed management scenarios for fisheries in the eastern Bering Sea

ICES Journal of Marine Science, ISSN 1054-3139, 1095-9289, Page fsae034, 10.1093/icesjms/fsae034

Contributors

Hollowed, Anne Babcock 0000-0002-4225-6026 (Corresponding author) [1] Holsman, Kirstin Kari 0000-0001-6361-2256 [2] Wise, Sarah P [2] Haynie, Alan C 0000-0003-0981-2016 [3] Cheng, Wei [1] [4] Evans, Diana C K [5] Hermann, Albert J 0000-0002-0253-7464 [1] [4] Ianelli, James N [2] Kearney, Kelly A 0000-0002-6152-5236 [2] Punt, André E 0000-0001-8489-2488 [1] Reum, Jonathan Charles 0000-0001-6601-4550 [2] Stram, Diana L [5] Szuwalski, Cody S [2]

Affiliations

  1. [1] University of Washington
  2. [NORA names: United States; America, North; OECD];
  3. [2] Alaska Fisheries Science Center
  4. [NORA names: United States; America, North; OECD];
  5. [3] International Council for the Exploration of the Sea
  6. [NORA names: Miscellaneous; Denmark; Europe, EU; Nordic; OECD];
  7. [4] Pacific Marine Environmental Laboratory
  8. [NORA names: United States; America, North; OECD];
  9. [5] North Pacific Fishery Management Council
  10. [NORA names: United States; America, North; OECD]

Abstract

Abstract In recognition of the impact of climate change on marine ecosystems worldwide, integrated research teams have coupled climate change projections with social-ecological models to inform management and evaluate adaptation strategies for the fishing industry and fishing communities. A key step in this process is the selection of scenarios that enable improved adaptation strategies and decision-making through engagements with constituents with diverse interests in the future use of marine resources. This paper presents an approach to selecting and refining climate-informed social-ecological scenarios for groundfish and crab fisheries in the eastern Bering Sea. The approach involved: (a) initial model development to provide worked examples; (b) engagement with stakeholders to seek input on climate-related concerns, priorities, and adaptation options; and (c) establishment of pathways for uptake of climate-informed decision support information into existing management systems. This approach narrowed the range of candidate scenarios, identified pressing climate concerns of constituents, and clarified timelines for scheduling modeling projects to address these concerns. Separating evaluation of management strategies (research modeling) from proposed changes to Fishery Management Plans preserved opportunities for public debate of proposed changes through a well-established regulatory review process. Collectively, these outcomes help to advance the development of a regionally relevant climate-ready harvest policy.

Keywords

Bering Sea, Supporting Information, adaptation, adaptation options, adaptation strategies, change projections, changes, climate, climate change, climate change projections, climate-related concerns, community, concerns, constituents, crab fishery, debates, decision support information, decision-making, development, development of climate, diverse interests, eastern Bering Sea, ecosystem, engagement, evaluate adaptation strategies, evaluation, evaluation of management strategies, fish, fish communities, fisheries, fisheries management plans, fishing industry, groundfish, harvesting policy, impact, impacts of climate change, improve adaptation strategies, industry, information, input, integrated research teams, interest, management, management plans, management scenarios, management strategies, management system, marine, marine ecosystems, marine resources, model, model development, model projections, opportunities, options, outcomes, pathway, planning, policy, priority, process, project, public debate, range, region, regulatory review process, research, research model, research team, resources, review process, scenarios, scheduling, sea, selection, selection of scenarios, social ecological model, stakeholders, strategies, system, team, timeline

Funders

  • National Oceanic and Atmospheric Administration

Data Provider: Digital Science