FN Archimer Export Format PT J TI Considerations for management strategy evaluation for small pelagic fishes BT AF Siple, Margaret C. Koehn, Laura E. Johnson, Kelli F. Punt, André E. Canales, T. Mariella Carpi, Piera de Moor, Carryn L. De Oliveira, José AA Gao, Jin Jacobsen, Nis S. Lam, Mimi E. Licandeo, Roberto Lindegren, Martin Ma, Shuyang Óskarsson, Guðmundur J. Sanchez‐Maroño, Sonia Smoliński, Szymon Surma, Szymon Tian, Yongjun Tommasi, Desiree Gutiérrez T., Mariano Trenkel, Verena Zador, Stephani G. Zimmermann, Fabian AS 1:1;2:1;3:2;4:1;5:3;6:4;7:5;8:6;9:7;10:8;11:9,10;12:10;13:8;14:11;15:12;16:13;17:14,15;18:10;19:11,16;20:17;21:18,19;22:20;23:21;24:15; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:;19:;20:;21:;22:PDG-RBE-EMH;23:;24:; C1 School of Aquatic and Fishery Sciences University of Washington Seattle WA ,USA Northwest Fisheries Science Center National Marine Fisheries Service National Oceanic and Atmospheric Administration Seattle WA ,USA Center of Applied Ecology and Sustainability (CAPES) Pontificia Universidad Católica de Chile Santiago ,Chile International Pacific Halibut Commission (IPHC) Seattle WA ,USA Marine Resource Assessment and Management (MARAM) Group Department of Mathematics and Applied Mathematics University of Cape Town Rondebosch ,South Africa Lowestoft Laboratory Centre for Environment, Fisheries and Aquaculture Science (CEFAS) Lowestoft ,UK Centre for Fisheries and Ecosystems Research Fisheries and Marine Institute Memorial University of Newfoundland St. John’s NL ,Canada National Institute of Aquatic Resources Technical University of Denmark Lyngby, Denmark Centre for the Study of the Sciences and the Humanities University of Bergen Bergen, Norway Institute for the Oceans and Fisheries Aquatic Ecosystems Research Laboratory University of British Columbia Vancouver BC ,Canada Frontiers Science Center for Deep Ocean Multispheres and Earth System and College of Fisheries Ocean University of China Qingdao ,China Marine and Freshwater Research Institute Hafnarfjörður, Iceland AZTI, Marine Research Basque Research and Technology Alliance (BRTA) Pasaia, Spain Department of Fisheries Resources National Marine Fisheries Research Institute Gdynia ,Poland Institute of Marine Research Bergen, Norway Laboratory for Marine Fisheries Science and Food Production Processes Pilot National Laboratory for Marine Science and Technology Qingdao ,China Institute of Marine Sciences Southwest Fisheries Science Center National Marine Fisheries Service National Oceanic and Atmospheric Administration University of California Santa Cruz Santa Cruz CA ,USA Humboldt Institute of Marine and Aquaculture Research (IHMA) Lima, Peru Universidad Nacional Federico Villarreal Lima, USA Ifremer, Nantes, France Resource Ecology and Fisheries Management Division Alaska Fisheries Science Center National Oceanic and Atmospheric Administration Seattle WA ,USA C2 UNIV WASHINGTON, USA NOAA, USA UNIV PONTIFICIA CATOLICA CHILE, CHILE IPHC, USA UNIV CAPE TOWN, SOUTH AFRICA CEFAS, UK UNIV MEM NEWFOUNDLAND, CANADA UNIV TECH DENMARK (DTU AQUA), DENMARK UNIV BERGEN, NORWAY UNIV BRITISH COLUMBIA, CANADA UNIV OCEAN CHINA, CHINA MFRI, ICELAND AZTI, SPAIN NATL MARINE FISHERIES RES INST, POLAND IMR (BERGEN), NORWAY QNLM, CHINA UNIV CALIF SANTA CRUZ, USA IHMA, PERU UNIV NACL FEDERICO VILLARREAL, USA IFREMER, FRANCE NOAA, USA SI NANTES SE PDG-RBE-EMH IN WOS Ifremer UPR copubli-europe copubli-int-hors-europe copubli-sud IF 7.401 TC 24 UR https://archimer.ifremer.fr/doc/00698/81045/85090.pdf https://archimer.ifremer.fr/doc/00698/81045/85091.pdf LA English DT Article DE ;closed-loop simulation;ecosystem-based fisheries management;forage fish;management procedure;population dynamics AB Management strategy evaluation (MSE) is the state-of-the-art approach for testing and comparing management strategies in a way that accounts for multiple sources of uncertainty (e.g. monitoring, estimation, and implementation). Management strategy evaluation can help identify management strategies that are robust to uncertainty about the life history of the target species and its relationship to other species in the food web. Small pelagic fish (e.g. anchovy, herring and sardine) fulfil an important ecological role in marine food webs and present challenges to the use of MSE and other simulation-based evaluation approaches. This is due to considerable stochastic variation in their ecology and life history, which leads to substantial observation and process uncertainty. Here, we summarize the current state of MSE for small pelagic fishes worldwide. We leverage expert input from ecologists and modellers to draw attention to sources of process and observation uncertainty for small pelagic species, providing examples from geographical regions where these species are ecologically, economically and culturally important. Temporal variation in recruitment and other life-history rates, spatial structure and movement, and species interactions are key considerations for small pelagic fishes. We discuss tools for building these into the MSE process, with examples from existing fisheries. We argue that model complexity should be informed by management priorities and whether ecosystem information will be used to generate dynamics or to inform reference points. We recommend that our list of considerations be used in the initial phases of the MSE process for small pelagic fishes or to build complexity on existing single-species models. PY 2021 PD NOV SO Fish And Fisheries SN 1467-2960 PU Wiley VL 22 IS 6 UT 000660404300001 BP 1167 EP 1186 DI 10.1111/faf.12579 ID 81045 ER EF