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      Projecting shifts in thermal habitat for 686 species on the North American continental shelf

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          Abstract

          Recent shifts in the geographic distribution of marine species have been linked to shifts in preferred thermal habitats. These shifts in distribution have already posed challenges for living marine resource management, and there is a strong need for projections of how species might be impacted by future changes in ocean temperatures during the 21 st century. We modeled thermal habitat for 686 marine species in the Atlantic and Pacific oceans using long-term ecological survey data from the North American continental shelves. These habitat models were coupled to output from sixteen general circulation models that were run under high (RCP 8.5) and low (RCP 2.6) future greenhouse gas emission scenarios over the 21 st century to produce 32 possible future outcomes for each species. The models generally agreed on the magnitude and direction of future shifts for some species (448 or 429 under RCP 8.5 and RCP 2.6, respectively), but strongly disagreed for other species (116 or 120 respectively). This allowed us to identify species with more or less robust predictions. Future shifts in species distributions were generally poleward and followed the coastline, but also varied among regions and species. Species from the U.S. and Canadian west coast including the Gulf of Alaska had the highest projected magnitude shifts in distribution, and many species shifted more than 1000 km under the high greenhouse gas emissions scenario. Following a strong mitigation scenario consistent with the Paris Agreement would likely produce substantially smaller shifts and less disruption to marine management efforts. Our projections offer an important tool for identifying species, fisheries, and management efforts that are particularly vulnerable to climate change impacts.

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          An Overview of CMIP5 and the Experiment Design

          The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented in scale and attracting interest from all major climate modeling groups, CMIP5 includes “long term” simulations of twentieth-century climate and projections for the twenty-first century and beyond. Conventional atmosphere–ocean global climate models and Earth system models of intermediate complexity are for the first time being joined by more recently developed Earth system models under an experiment design that allows both types of models to be compared to observations on an equal footing. Besides the longterm experiments, CMIP5 calls for an entirely new suite of “near term” simulations focusing on recent decades and the future to year 2035. These “decadal predictions” are initialized based on observations and will be used to explore the predictability of climate and to assess the forecast system's predictive skill. The CMIP5 experiment design also allows for participation of stand-alone atmospheric models and includes a variety of idealized experiments that will improve understanding of the range of model responses found in the more complex and realistic simulations. An exceptionally comprehensive set of model output is being collected and made freely available to researchers through an integrated but distributed data archive. For researchers unfamiliar with climate models, the limitations of the models and experiment design are described.
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            Climate change affects marine fishes through the oxygen limitation of thermal tolerance.

            A cause-and-effect understanding of climate influences on ecosystems requires evaluation of thermal limits of member species and of their ability to cope with changing temperatures. Laboratory data available for marine fish and invertebrates from various climatic regions led to the hypothesis that, as a unifying principle, a mismatch between the demand for oxygen and the capacity of oxygen supply to tissues is the first mechanism to restrict whole-animal tolerance to thermal extremes. We show in the eelpout, Zoarces viviparus, a bioindicator fish species for environmental monitoring from North and Baltic Seas (Helcom), that thermally limited oxygen delivery closely matches environmental temperatures beyond which growth performance and abundance decrease. Decrements in aerobic performance in warming seas will thus be the first process to cause extinction or relocation to cooler waters.
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              Projecting global marine biodiversity impacts under climate change scenarios

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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: Data curationRole: Formal analysisRole: MethodologyRole: Writing – original draft
                Role: Data curationRole: Resources
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: Writing – original draft
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Supervision
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                16 May 2018
                2018
                : 13
                : 5
                : e0196127
                Affiliations
                [1 ] Department of Ecology, Evolution and Natural Resources, Rutgers University, New Brunswick, New Jersey, United States of America
                [2 ] Virginia Institute of Marine Science, College of William & Mary, Gloucester Point, Virginia, United States of America
                [3 ] Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland
                [4 ] Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
                [5 ] Mid-Atlantic Fishery Management Council, Dover, Delaware, United States of America
                Technical University of Denmark, DENMARK
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                [¤]

                Current address: Institute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, North Carolina, United States of America

                Author information
                http://orcid.org/0000-0003-0711-6180
                Article
                PONE-D-17-26671
                10.1371/journal.pone.0196127
                5955691
                29768423
                723aa21f-f764-4cae-ad40-2612569533ee

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 16 July 2017
                : 6 April 2018
                Page count
                Figures: 8, Tables: 4, Pages: 28
                Funding
                Funded by: Pew Charitable Trusts (US)
                Award ID: 28295
                Award Recipient :
                Funded by: The national oceanic and atmospheric administration
                Award ID: OAR-CPO-2014-2004106
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: OCE-1426891
                Award Recipient :
                Funded by: National Foundation for Science and Technology Development (VN)
                Award ID: DEB-1616821
                Award Recipient :
                Funded by: National Science Foundation (US)
                Award ID: OCE-1521565
                Award Recipient :
                Funded by: Swiss national science foundation
                Award ID: PP00P2_170687
                Award Recipient :
                Funding from The Pew Charitable Trusts (#28295), the Mid-Atlantic Fishery Management Council, NOAA’s “FY14 Understanding Climate Impacts on Fish Stocks and Fisheries to Inform Sustainable Management” initiative (Competition OAR-CPO-2014-2004106 and the Office of Science and Technology), NSF #OCE-1426891 and #DEB-1616821. RLS is supported by an NSF OCE Postdoctoral Research Fellowship (#OCE-1521565). RJL acknowledges support provided by the Atlantic States Marine Fisheries Commission (#NA14NMF4740362). TLF acknowledges financial support from the Swiss National Science Foundation grant #PP00P2_170687. TLF, RLS, and MLP received support from the Nippon Foundation-UBC Nereus Program. This research was supported by the National Oceanic and Atmospheric Administration (NOAA) through the Cooperative Institute for the North Atlantic Region (CINAR) under Cooperative Agreement NA14OAR4320158. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Earth Sciences
                Marine and Aquatic Sciences
                Oceanography
                Ocean Temperature
                Earth sciences
                Marine and aquatic sciences
                Bodies of water
                Gulfs
                Gulf of Mexico
                Biology and Life Sciences
                Agriculture
                Fisheries
                Earth Sciences
                Marine and Aquatic Sciences
                Bodies of Water
                Oceans
                Earth Sciences
                Geography
                Cartography
                Latitude
                Earth Sciences
                Atmospheric Science
                Climatology
                Climate Modeling
                Biology and Life Sciences
                Ecology
                Ecological Niches
                Ecology and Environmental Sciences
                Ecology
                Ecological Niches
                Earth Sciences
                Geology
                Petrology
                Sediment
                Earth Sciences
                Geology
                Sedimentary Geology
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                Data available from the Dryad Digital Repository: https://doi.org/10.5061/dryad.1m2vn52.

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