FN Archimer Export Format PT J TI Advancing bioenergetics-based modeling to improve climate change projections of marine ecosystems BT AF Rose, Kenneth A. Holsman, Kirstin Nye, Janet A. Markowitz, Emily H. Banha, Thomas N.S. Bednaršek, Nina Bueno-Pardo, Juan Deslauriers, David Fulton, Elizabeth A. Huebert, Klaus B. HURET, Martin Ito, Shin-ichi Koenigstein, Stefan Li, Lingbo Moustahfid, Hassan Muhling, Barbara A. Neubauer, Philipp Paula, José Ricardo Siddon, Elizabeth C. Skogen, Morten D. Spencer, Paul D. van Denderen, P. Daniel van der Meeren, Gro I. Peck, Myron A. AS 1:1;2:2;3:3;4:2;5:4;6:5,6;7:7;8:8;9:9;10:10;11:11;12:12;13:13,14;14:15;15:16;16:13,14;17:17;18:18,19,20;19:21;20:22;21:2;22:23;23:24;24:25,26; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:PDG-RBE-HALGO-LBH;12:;13:;14:;15:;16:;17:;18:;19:;20:;21:;22:;23:;24:; C1 Horn Point Laboratory, University of Maryland Center for Environmental Science, 2020 Horns Point Road, Cambridge, MD 21613, USA NOAA Fisheries, Alaska Fisheries Science Center, 7600 Sand Point Way N.E., Seattle, WA 98115, USA Earth, Marine and Environmental Sciences, Institute of Marine Sciences, University of North Carolina at Chapel Hill, 3431 Arendell Street, Morehead City, NC 28557, USA Centro de Biologia Marinha, Universidade de São Paulo, São Sebastião, SP 11612109, Brazil Cooperative Institute for Marine Resources Studies, Hatfield Marine Science Center 2030 SE Marine Science Drive, Newport, OR 97365, USA Jozef Stefan Institute, Department of Environmental Sciences, 1000 Ljubljana, Slovenia Centro de Investigación Mariña, Universidade de Vigo, Future Oceans Lab, Lagoas-Marcosende, 36310 Vigo, Spain Institut des sciences de la mer de Rimouski, Université du Québec à Rimouski, 310 allée des Ursulines, Rimouski, Quebec G5L 3A1, Canada CSIRO Environment, GPO Box 1538, Hobart, TAS 7001, Australia CSS, Inc., 2750 Prosperity Avenue, Fairfax, VA 22031, USA DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Pointe Du Diable, 29280 Plouzané, France Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba 277-8564, Japan Institute of Marine Sciences/NOAA Fisheries Collaborative Program, University of California Santa Cruz, 156 High Street, Santa Cruz, CA 95064, USA NOAA Fisheries, Southwest Fisheries Science Center, 8901 La Jolla Shores Drive, La Jolla, CA 92037, USA Fisheries and Oceans Canada, Bedford Institute of Oceanography, 1 Challenger Drive, Dartmouth, NS B2Y 4A2, Canada NOAA, US Integrated Ocean Observing System, 1315 East-West Highway, Silver Spring, MD 20910, USA Dragonfly Data Science, PO Box 27535, Wellington 6141, New Zealand MARE - Marine and Environmental Sciences Centre & ARNET - Aquatic Research Network, Faculdade de Ciências da Universidade de Lisboa, Laboratório Marítimo da Guia, Av. Nossa Senhora do Cabo, 939, 2750-374 Cascais, Portugal Departamento de Biologia Animal, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal 19Hawai‘i Institute of Marine Biology, University of Hawai‘i at Mānoa, Kāne‘ohe, HI 96744, USA NOAA, National Marine Fisheries Service, Alaska Fisheries Science Center, Auke Bay Laboratories, 17109 Pt. Lena Loop Road, Juneau, AK 99801, USA Institute of Marine Research, PO Box 1870 Nordnes, 5817 Bergen, Norway Centre for Ocean Life, National Institute of Aquatic Resources, Technical University of Denmark, Kemitorvet Building 202, 2800 Kongens Lyngby, Denmark Institute of Marine Research, Austevoll Research Station, Sauganeset 16, 5392 Storebø, Norway Department of Coastal Systems, Royal Netherlands Institute for Sea Research, PO Box 59, 1790 Den Burg (Texel), The Netherlands Marine Animal Ecology Group, Department of Animal Sciences, Wageningen University, 6700 HB Wageningen, The Netherlands C2 UNIV MARYLAND, USA NOAA, USA UNIV N CAROLINA, USA UNIV SAO PAULO, BRAZIL CIMERS, USA JOZEF STEFAN INST, SLOVENIA UNIV VIGO, SPAIN UNIV QUEBEC (UQAR-ISMER), CANADA CSIRO ENVIRONMENT, AUSTRALIA CSS, USA IFREMER, FRANCE UNIV TOKYO, JAPAN NOAA, USA NOAA, USA MPO, CANADA NOAA, USA DRAGONFLY DATA SCIENCE, NEW ZEALAND MARE, PORTUGAL UNIV LISBOA, PORTUGAL UNIV HAWAII, USA NOAA, USA IMR (BERGEN), NORWAY UNIV TECH DENMARK (DTU AQUA), DENMARK IMR (BERGEN), NORWAY NIOZ, NETHERLANDS UNIV WAGENINGEN, NETHERLANDS SI BREST SE PDG-RBE-HALGO-LBH UM DECOD IF 2.5 TC 0 UR https://archimer.ifremer.fr/doc/00883/99501/109579.pdf LA English DT Article DE ;Bioenergetics;Modeling;Climate change;Fish;Projections;Challenges;Agent-based AB Climate change has rapidly altered marine ecosystems and is expected to continue to push systems and species beyond historical baselines into novel conditions. Projecting responses of organisms and populations to these novel environmental conditions often requires extrapolations beyond observed conditions, challenging the predictive limits of statistical modeling capabilities. Bioenergetics modeling provides the mechanistic basis for projecting climate change effects on marine living resources in novel conditions, has a long history of development, and has been applied widely to fish and other taxa. We provide our perspective on 4 opportunities that will advance the ability of bioenergetics-based models to depict changes in the productivity and distribution of fishes and other marine organisms, leading to more robust projections of climate impacts. These are (1) improved depiction of bioenergetics processes to derive realistic individual-level response(s) to complex changes in environmental conditions, (2) innovations in scaling individual-level bioenergetics to project responses at the population and food web levels, (3) more realistic coupling between spatial dynamics and bioenergetics to better represent the local- to regional-scale differences in the effects of climate change on the spatial distributions of organisms, and (4) innovations in model validation to ensure that the next generation of bioenergetics-based models can be used with known and sufficient confidence. Our focus on specific opportunities will enable critical advancements in bioenergetics modeling and position the modeling community to make more accurate and robust projections of the effects of climate change on individuals, populations, food webs, and ecosystems. PY 2024 PD MAR SO Marine Ecology Progress Series SN 0171-8630 PU Inter-Research Science Center VL 732 BP 193 EP 221 DI 10.3354/meps14535 ID 99501 ER EF