Résumé
Future climate impacts and their consequences are increasingly being explored using multi-model ensembles that average across individual model projections. Here we develop a statistical framework that integrates projections from coupled ecosystem and earth-system models to evaluate significance and uncertainty in marine animal biomass changes over the 21st century in relation to socioeconomic indicators at national to global scales. Significant biomass changes are projected in 40%–57% of the global ocean, with 68%–84% of these areas exhibiting declining trends under low and high emission scenarios, respectively. Given unabated emissions, maritime nations with poor socioeconomic statuses such as low nutrition, wealth, and ocean health will experience the greatest projected losses. These findings suggest that climate-driven biomass changes will widen existing equity gaps and disproportionally affect populations that contributed least to global CO2 emissions. However, our analysis also suggests that such deleterious outcomes are largely preventable by achieving negative emissions (RCP 2.6).
Langue d'origine | English |
---|---|
Numéro d'article | 2235 |
Journal | Nature Communications |
Volume | 11 |
Numéro de publication | 1 |
DOI | |
Statut de publication | Published - déc. 1 2020 |
Note bibliographique
Funding Information:We are grateful to all marine ecosystem modelers for performing simulations and contributing results in accordance with the Fish-MIP protocol, particularly S. Jennings, T. Silva, E. Galbraith, D. Bianchi, O. Maury, N. Barrier, P. Verley, J. Blanchard, V. Christensen, M. Coll, J. Steenbeek, W.W.L. Cheung, and T. Eddy. We also thank J. Blanchard for providing fishery dependency and food security data, L. Bopp, J. Dunne, C. Stock, and T. Roy for providing ESM outputs, R. Dickson, M. Büchner, J. Volkholz, and J. Schewe for technical support, and E. Galbraith for providing critical feedback. Financial support was provided by the Ocean Frontier Institute (Module G) and the German Federal Ministry of Education and Research (BMBF Grant No. 01LS1201A1) through the Inter‐Sectoral Impact Model Intercomparison Project (ISI‐MIP). D.P.T. also acknowledges support from the Jarislowsky Foundation. This research was enabled in part by support provided by ACENET (www.ace-net.ca) and Compute Canada (www.compu-tecanada.ca).
Publisher Copyright:
© 2020, The Author(s).
ASJC Scopus Subject Areas
- General Chemistry
- General Biochemistry,Genetics and Molecular Biology
- General Physics and Astronomy
PubMed: MeSH publication types
- Journal Article
- Research Support, Non-U.S. Gov't