Recommendations for quantifying and reducing uncertainty in climate projections of species distributions
Supporting Files
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2022
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Details
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Journal Title:Global Change Biology
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Personal Author:Brodie, Stephanie
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Smith, James A.
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Muhling, Barbara A.
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Barnett, Lewis A. K.
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Carroll, Gemma
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Fiedler, Paul
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Bograd, Steven J.
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Hazen, Elliott L.
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Jacox, Michael G.
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Andrews, Kelly S.
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Barnes, Cheryl L.
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Crozier, Lisa G.
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Fiechter, Jerome
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Fredston, Alexa
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Haltuch, Melissa A.
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Harvey, Chris J.
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Holmes, Elizabeth
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Karp, Melissa A.
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Liu, Owen R.
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Malick, Michael J.
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Pozo Buil, Mercedes
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Richerson, Kate
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Rooper, Christopher N.
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Samhouri, Jameal
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Seary, Rachel
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Selden, Rebecca L.
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Thompson, Andrew R.
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Tommasi, Desiree
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Ward, Eric J.
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Kaplan, Isaac C.
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NOAA Program & Office:NMFS (National Marine Fisheries Service) ; OAR (Oceanic and Atmospheric Research) ; AFSC (Alaska Fisheries Science Center) ; CICOES (Cooperative Institute for Climate, Ocean and Ecosystem Studies) ; ESRL (Earth System Research Laboratory) ; OST (Office of Science and Technology) ; NWFSC (Northwest Fisheries Science Center) ; PSL (Physical Sciences Laboratory) ; SWFSC (Southwest Fisheries Science Center)
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Description:Projecting the future distributions of commercially and ecologically important spe - cies has become a critical approach for ecosystem managers to strategically antici - pate change, but large uncertainties in projections limit climate adaptation planning. Although distribution projections are primarily used to understand the scope of po - tential change— rather than accurately predict specific outcomes— it is nonetheless essential to understand where and why projections can give implausible results and to
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Keywords:
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Source:Global Change Biology, 28(22), 6586-6601
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DOI:
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ISSN:1354-1013 ; 1365-2486
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Format:
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Funding:
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License:
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Rights Information:CC BY
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Compliance:Library
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Main Document Checksum:urn:sha256:bf2d3335c2d7829ab150e5b4820cf3f523ec0e80eee80408f158826debc51b90
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Download URL:
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File Type:
Supporting Files
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