Key Uncertainties and Modeling Needs for Managing Living Marine Resources in the Future Arctic Ocean

Author:

Mason Julia G.1ORCID,Bryndum‐Buchholz Andrea2ORCID,Palacios‐Abrantes Juliano3,Badhe Renuka4,Morgante Isabella3ORCID,Bianchi Daniele5ORCID,Blanchard Julia L.67ORCID,Everett Jason D.8910ORCID,Harrison Cheryl S.11ORCID,Heneghan Ryan F.12,Novaglio Camilla67ORCID,Petrik Colleen M.13ORCID

Affiliation:

1. Environmental Defense Fund Boston MA USA

2. Centre for Fisheries Ecosystems Research Fisheries and Marine Institute Memorial University of Newfoundland St. John's NL Canada

3. Institute for the Oceans and Fisheries The University of British Columbia Vancouver BC Canada

4. Unaffiliated The Hague The Netherlands

5. Department of Atmospheric and Oceanic Sciences University of California Los Angeles Los Angeles CA USA

6. Institute for Marine and Antarctic Studies University of Tasmania Hobart TAS Australia

7. Centre for Marine Socioecology University of Tasmania Hobart TAS Australia

8. School of Mathematics and Physics The University of Queensland St. Lucia QLD Australia

9. Commonwealth Scientific and Industrial Research Organisation (CSIRO) Oceans and Atmosphere, Queensland Biosciences Precinct, St Lucia Brisbane QLD Australia

10. Centre for Marine Science and Innovation The University of New South Wales Sydney NSW Australia

11. Department of Ocean and Coastal Science and Center for Computation and Technology Louisiana State University Baton Rouge LA USA

12. Australian Rivers Institute School of Environment and Science Griffith University Nathan QLD Australia

13. Scripps Institution of Oceanography University of California San Diego La Jolla CA USA

Abstract

AbstractEmerging fishing activity due to melting ice and poleward species distribution shifts in the rapidly‐warming Arctic Ocean challenges transboundary management and requires proactive governance. A 2021 moratorium on commercial fishing in the Arctic high seas provides a 16‐year runway for improved scientific understanding. Given substantial knowledge gaps, characterizing areas of highest uncertainty is a key first step. Marine ecosystem model ensembles that project future fish distributions could inform management of future Arctic fisheries, but Arctic‐specific variation has not yet been examined for global ensembles. We use the Fisheries and Marine Ecosystem Intercomparison Project ensemble driven by two Earth System Models (ESMs) under two Shared Socioeconomic Pathways (SSP1‐2.6 and SSP5‐8.5) to illustrate the current state of and uncertainty among biomass projections for the Arctic Ocean over the duration of the moratorium. The models generally project biomass increases in more northern Arctic ecosystems and decreases in southern ecosystems, but wide intra‐model variation exceeds projection means in most cases. The two ESMs show opposite trends for the main environmental drivers. Therefore, these projections are currently insufficient to inform policy actions. Investment in sustained monitoring and improving modeling capacity, especially for sea ice dynamics, is urgently needed. Concurrently, it will be necessary to develop frameworks for making precautionary decisions under continued uncertainty. We conclude that researchers should be transparent about uncertainty, presenting these model projections not as a source of scientific “answers,” but as bounding for plausible, policy‐relevant questions to assess trade‐offs and mitigate risks.

Funder

Canada First Research Excellence Fund

Publisher

American Geophysical Union (AGU)

Reference150 articles.

1. Agreement to Prevent Unregulated High Seas Fisheries in the Central Arctic Ocean. (2018).Ministry of foreign affairs for Japan. Retrieved fromhttps://www.mofa.go.jp/files/000449233.pdf

2. What will the BBNJ agreement mean for the Arctic fisheries agreement?

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