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Next-generation ensemble projections reveal higher climate risks for marine ecosystems.

Derek P TittensorCamilla NovaglioCheryl S HarrisonRyan F HeneghanNicolas BarrierDaniele BianchiLaurent BoppAndrea Bryndum-BuchholzGregory L BrittenMatthias BüchnerWilliam W L CheungVilly ChristensenMarta CollJohn P DunneTyler D EddyJason D EverettJose Fernandes E FernandesElizabeth A FultonEric D GalbraithDidier GascuelJérôme GuietJasmin G JohnJason S LinkHeike K LotzeOlivier MauryKelly Ortega-CisnerosJuliano Palacios-AbrantesColleen M PetrikHubert du PontaviceJonathan RaultAnthony J RichardsonLynne J ShannonYunne-Jai ShinJeroen SteenbeekCharles A StockJulia L Blanchard
Published in: Nature climate change (2021)
Projections of climate change impacts on marine ecosystems have revealed long-term declines in global marine animal biomass and unevenly distributed impacts on fisheries. Here we apply an enhanced suite of global marine ecosystem models from the Fisheries and Marine Ecosystem Model Intercomparison Project (Fish-MIP), forced by new-generation Earth system model outputs from Phase 6 of the Coupled Model Intercomparison Project (CMIP6), to provide insights into how projected climate change will affect future ocean ecosystems. Compared with the previous generation CMIP5-forced Fish-MIP ensemble, the new ensemble ecosystem simulations show a greater decline in mean global ocean animal biomass under both strong-mitigation and high-emissions scenarios due to elevated warming, despite greater uncertainty in net primary production in the high-emissions scenario. Regional shifts in the direction of biomass changes highlight the continued and urgent need to reduce uncertainty in the projected responses of marine ecosystems to climate change to help support adaptation planning.
Keyphrases
  • climate change
  • human health
  • wastewater treatment
  • quality improvement
  • convolutional neural network
  • anaerobic digestion
  • dna methylation
  • machine learning
  • genome wide
  • municipal solid waste