Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change

Type Article
Date 2019-06
Language English
Author(s) Lotze Heike K.1, Tittensor Derek P.1, 2, Bryndum-Buchholz Andrea1, Eddy Tyler D.1, 3, Cheung William W. L.3, Galbraith Eric D.4, 5, Barange Manuel6, Barrier NicolasORCID7, Bianchi Daniele8, Blanchard Julia L9, 10, Bopp Laurent11, Buchner Matthias12, Bulman Catherine M.13, Carozza David A.14, Christensen Villy15, Coll MartaORCID16, Dunne John P.17, Fulton Elizabeth A., Jennings Simon18, 19, 20, Jones Miranda C.3, Mackinson Steve21, Maury OlivierORCID22, Niiranen SusaORCID23, Oliveros-Ramos RicardoORCID24, Roy Tilla9, 25, Fernandes Jose A.26, 27, Schewe Jacob12, Shin Yunne-JaiORCID28, Silva Tiago A. M.18, Steenbeek Jeroen, Stock Charles A.17, Verley Philippe29, Volkholz Jan12, Walker Nicola D.18, Worm Boris1
Affiliation(s) 1 : Dalhousie Univ, Dept Biol, Halifax, NS B3H 4R2, Canada.
2 : US Environm World Conservat Monitoring Ctr, Sci, Cambridge CB3 0DL, England.
3 : Univ British Columbia, Inst Oceans & Fisheries, Nippon Fdn Nereus Program, Vancouver, BC V6T 1Z4, Canada.
4 : Inst Catalana Recerca & Estudis Avancats, Barcelona 08010, Spain.
5 : Univ Autonoma Barcelona, Inst Ciencia & Tecnol Ambientals, E-08193 Barcelona, Spain.
6 : Food & Agr Org United Nations, Fisheries & Aquaculture Dept, I-00153 Rome, Italy.
7 : Univ Montpellier, IFREMER, Marine Biodivers Exploitat & Conservat MARBEC, Inst Rech Dev,CNRS, F-34203 Sete, France.
8 : Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA.
9 : Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas 7001, Australia.
10 : Univ Tasmania, Ctr Marine Socioecol, Hobart, Tas 7004, Australia.
11 : Paris Sci & Lettres Res Univ, CNRS, Ecole Normale Super,Ecole Polytech, Inst Pierre Simon Laplace,Lab Meteor Dynam,Sorbon, F-75231 Paris, France.
12 : Potsdam Inst Climate Impact Res, D-14473 Potsdam, Germany.
13 : CSIRO, Marine & Atmospher Res, Hobart, Tas 7001, Australia.
14 : McGill Univ, Dept Earth & Planetary Sci, Montreal, PQ H3A 0E8, Canada.
15 : Univ British Columbia, Inst Oceans & Fisheries, Vancouver, BC V6T 1Z4, Canada.
16 : Ecopath Int Initiat, Inst Marine Sci, Barcelona 08003, Spain.
17 : Princeton Univ, NOAA, Geophys Fluid Dynam Lab, Princeton, NJ 08540 USA.
18 : Ctr Environm Fisheries & Aquaculture Sci, Lowestoft Lab, Lowestoft NR33 0HT, Suffolk, England.
19 : Univ East Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England.
20 : Int Council Explorat Sea, Sci Comm, DK-1553 Copenhagen V, Denmark.
21 : Scottish Pelag Fishermens Assoc, Heritage House, Fraserburgh AB43 9BP, England.
22 : Univ Cape Town, Marine Res Inst, Dept Oceanog, ZA-7701 Rondebosch, South Africa.
23 : Stockholm Univ, Stockholm Resilience Ctr, S-11419 Stockholm, Sweden.
24 : Inst Mar Peru, Callao 07021, Peru.
25 : Ecosyst Climate & Ocean Anal, F-75019 Paris, France.
26 : AZTI Tecnalia, Marine Res Div, Pasaia 20110, Spain.
27 : Plymouth Marine Lab, Plymouth PL13 DH, Devon, England.
28 : Univ Cape Town, Marine Res Inst, Dept Biol Sci, ZA-7701 Rondebosch, South Africa.
29 : Inst Rech Dev, AMAP Res Unit, F-34398 Montpellier, France.
Source Proceedings Of The National Academy Of Sciences Of The United States Of America (0027-8424) (Natl Acad Sciences), 2019-06 , Vol. 116 , N. 26 , P. 12907-12912
DOI 10.1073/pnas.1900194116
WOS© Times Cited 124
Keyword(s) climate change impacts, marine food webs, global ecosystem modeling, model intercomparison, uncertainty
Abstract

While the physical dimensions of climate change are now routinely assessed through multimodel intercomparisons, projected impacts on the global ocean ecosystem generally rely on individual models with a specific set of assumptions. To address these single-model limitations, we present standardized ensemble projections from six global marine ecosystem models forced with two Earth system models and four emission scenarios with and without fishing. We derive average biomass trends and associated uncertainties across the marine food web. Without fishing, mean global animal biomass decreased by 5% (+/- 4% SD) under low emissions and 17% (+/- 11% SD) under high emissions by 2100, with an average 5% decline for every 1 degrees C of warming. Projected biomass declines were primarily driven by increasing temperature and decreasing primary production, and were more pronounced at higher trophic levels, a process known as trophic amplification. Fishing did not substantially alter the effects of climate change. Considerable regional variation featured strong biomass increases at high latitudes and decreases at middle to low latitudes, with good model agreement on the direction of change but variable magnitude. Uncertainties due to variations in marine ecosystem and Earth system models were similar. Ensemble projections performed well compared with empirical data, emphasizing the benefits of multimodel inference to project future outcomes. Our results indicate that global ocean animal biomass consistently declines with climate change, and that these impacts are amplified at higher trophic levels. Next steps for model development include dynamic scenarios of fishing, cumulative human impacts, and the effects of management measures on future ocean biomass trends.

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Lotze Heike K., Tittensor Derek P., Bryndum-Buchholz Andrea, Eddy Tyler D., Cheung William W. L., Galbraith Eric D., Barange Manuel, Barrier Nicolas, Bianchi Daniele, Blanchard Julia L, Bopp Laurent, Buchner Matthias, Bulman Catherine M., Carozza David A., Christensen Villy, Coll Marta, Dunne John P., Fulton Elizabeth A., Jennings Simon, Jones Miranda C., Mackinson Steve, Maury Olivier, Niiranen Susa, Oliveros-Ramos Ricardo, Roy Tilla, Fernandes Jose A., Schewe Jacob, Shin Yunne-Jai, Silva Tiago A. M., Steenbeek Jeroen, Stock Charles A., Verley Philippe, Volkholz Jan, Walker Nicola D., Worm Boris (2019). Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change. Proceedings Of The National Academy Of Sciences Of The United States Of America, 116(26), 12907-12912. Publisher's official version : https://doi.org/10.1073/pnas.1900194116 , Open Access version : https://archimer.ifremer.fr/doc/00659/77125/