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Ensemble projections of global ocean animal biomass with climate change

Authors :
Nicola D. Walker
Marta Coll
Charles A. Stock
John P. Dunne
Laurent Bopp
Derek P. Tittensor
Ricardo Oliveros-Ramos
Tilla Roy
Philippe Verley
Steve Mackinson
Tiago H. Silva
Simon Jennings
Susa Niiranen
David A. Carozza
Heike K. Lotze
Jan Volkholz
Manuel Barange
Elizabeth A. Fulton
Matthias Büchner
Jacob Schewe
Miranda C. Jones
Villy Christensen
Tyler D. Eddy
Catherine M. Bulman
Andrea Bryndum-Buchholz
William W. L. Cheung
Jose A. Fernandes
Yunne-Jai Shin
Eric D. Galbraith
Jeroen Steenbeek
Julia L. Blanchard
Olivier Maury
Nicolas Barrier
Daniele Bianchi
Publication Year :
2018
Publisher :
Cold Spring Harbor Laboratory, 2018.

Abstract

Climate change is shifting the abundance and distribution of marine species with consequences for ecosystem functioning, seafood supply, management and conservation. Several approaches for future projection exist but these have never been compared systematically to assess their variability. We conducted standardized ensemble projections including 6 global fisheries and marine ecosystem models, forced with 2 Earth-system models and 4 emission scenarios in a fished and unfished ocean, to derive average trends and associated uncertainties. Without fishing, mean global animal biomass decreased by 5% (±4%) under low and 17% (±11%) under high emissions by 2100, primarily driven by increasing temperature and decreasing primary production. These climate-change effects were slightly weaker for larger animals and in a fished ocean. Considerable regional variation ranged from strong biomass increases in high latitudes to strong decreases in mid-low latitudes, with good model agreement on the direction of change but variable magnitude. Uncertainties due to differences among ecosystem or Earth-system models were similar, suggesting equal need for model improvement. Our ensemble projections provide the most comprehensive outlook on potential climate-driven ecological changes in the ocean to date. Realized future trends will largely depend on how fisheries and management adapt to these changes in a changing climate.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....c5e58ed65923b32306437f618d909768
Full Text :
https://doi.org/10.1101/467175