FN Archimer Export Format PT J TI Uncertainties in projecting climate-change impacts in marine ecosystems BT AF PAYNE, Mark R. BARANGE, Manuel CHEUNG, WilliamW. L. MACKENZIE, Brian R. BATCHELDER, Harold P. CORMON, Xochitl EDDY, Tyler D. FERNANDES, Jose A. HOLLOWED, Anne B. JONES, Miranda C. LINK, Jason S. NEUBAUER, Philipp ORTIZ, Ivonne QUEIROS, Ana M. PAULA, Jose Ricardo AS 1:1;2:2;3:3;4:1;5:4;6:5;7:6;8:2;9:7;10:3,8;11:9;12:10;13:11;14:2;15:12; FF 1:;2:;3:;4:;5:;6:PDG-RBE-HMMN-RHBL;7:;8:;9:;10:;11:;12:;13:;14:;15:; C1 Tech Univ Denmark, Natl Inst Aquat Resources DTU Aqua, Ctr Ocean Life, DK-2920 Charlottenlund, Denmark. Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, Devon, England. Univ British Columbia, Inst Oceans & Fisheries, AERL, Changing Ocean Res Unit, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada. North Pacific Marine Sci Org PICES, 9860 West Saanich Rd, Sidney, BC V8L 4B2, Canada. IFREMER, Channel & North Sea Fisheries Res Unit, 150 Quai Gambetta,BP 699, F-62321 Boulogne, France. Dalhousie Univ, Dept Biol, 1355 Oxford St, Halifax, NS B3H 4J1, Canada. NOAA, Natl Marine Fisheries Serv, Alaska Fisheries Sci Ctr, 7600 Sand Point Way NE, Seattle, WA 98115 USA. Univ Cambridge, Dept Zool, Downing St, Cambridge CB2 3EJ, England. NOAA, Natl Marine Fisheries Serv, 166 Water St, Woods Hole, MA 02543 USA. Dragonfly Data Sci, POB 27535, Wellington 6141, New Zealand. Univ Washington, Joint Inst Study Atmosphere & Oceans, Seattle, WA 98195 USA. Univ Lisbon, Fac Ciencias, Lab Maritimo Guia, MARE Marine & Environm Sci Ctr, Ave Nossa Senhora do Cabo 939, P-2750374 Cascais, Portugal. C2 UNIV TECH DENMARK, DENMARK PML, UK UNIV BRITISH COLUMBIA, CANADA PICES, CANADA IFREMER, FRANCE UNIV DALHOUSIE, CANADA NOAA, USA UNIV CAMBRIDGE, UK NOAA, USA DRAGONFLY DATA SCI, NEW ZEALAND UNIV WASHINGTON, USA UNIV LISBON, PORTUGAL SI BOULOGNE SE PDG-RBE-HMMN-RHBL IN WOS Ifremer jusqu'en 2018 copubli-europe copubli-int-hors-europe IF 2.76 TC 110 UR https://archimer.ifremer.fr/doc/00301/41220/40392.pdf LA English DT Article DE ;climate change;initialization uncertainty;parametric uncertainty;projections;scenario uncertainty;structural uncertainty;uncertainty AB Projections of the impacts of climate change on marine ecosystems are a key prerequisite for the planning of adaptation strategies, yet they are inevitably associated with uncertainty. Identifying, quantifying, and communicating this uncertainty is key to both evaluating the risk associated with a projection and building confidence in its robustness. We review how uncertainties in such projections are handled in marine science. We employ an approach developed in climate modelling by breaking uncertainty down into (i) structural (model) uncertainty, (ii) initialization and internal variability uncertainty, (iii) parametric uncertainty, and (iv) scenario uncertainty. For each uncertainty type, we then examine the current state-of-the-art in assessing and quantifying its relative importance. We consider whether the marine scientific community has addressed these types of uncertainty sufficiently and highlight the opportunities and challenges associated with doing a better job. We find that even within a relatively small field such as marine science, there are substantial differences between subdisciplines in the degree of attention given to each type of uncertainty. We find that initialization uncertainty is rarely treated explicitly and reducing this type of uncertainty may deliver gains on the seasonal-to-decadal time-scale. We conclude that all parts of marine science could benefit from a greater exchange of ideas, particularly concerning such a universal problem such as the treatment of uncertainty. Finally, marine science should strive to reach the point where scenario uncertainty is the dominant uncertainty in our projections. PY 2016 PD MAY SO Ices Journal Of Marine Science SN 1054-3139 PU Oxford Univ Press VL 73 IS 5 UT 000378640100002 BP 1272 EP 1282 DI 10.1093/icesjms/fsv231 ID 41220 ER EF