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Climate-forcing effects on trophically linked groundfish populations: implications for fisheries management Jurado-Molina, J.; Livingston, P.A. (2002). Climate-forcing effects on trophically linked groundfish populations: implications for fisheries management. Can. J. Fish. Aquat. Sci. 59(12): 1941-1951 In: Canadian Journal of Fisheries and Aquatic Sciences = Journal canadien des sciences halieutiques et aquatiques. National Research Council Canada: Ottawa. ISSN 0706-652X; e-ISSN 1205-7533

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Beschikbaar in	Auteurs
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Trefwoorden

Climatic changes Food webs INE, Bering Sea Management > Resource management > Fishery management Population characteristics > Population number Population functions > Mortality Population functions > Recruitment Predator prey interactions Bering Sea [Marine Regions] Marien/Kust

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Auteurs		Top
Jurado-Molina, J. Livingston, P.A.

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Abstract

Commercially important groundfish populations in the Bering Sea are connected through the food web as predators and prey. In addition to having different trophic roles, the recruitment of these species varies on interdecadal time scales and may be related to climate forcing. We simulate the effects of fishing mortality on eight trophically linked species under two scenarios of climate regimes using the multispecies virtual population analysis (MSVPA) model and the multispecies forecasting model (MSFOR). Species respond differently to climate change assumptions and fishing mortality depending on their position in the food web. Results suggest that the assumptions regarding climate regime shifts on mean recruitment may produce effects comparable to the ones produced by fishing and predation interactions. Therefore, accurate models for fisheries management would require considering these factors and their potential interactions. Because responses are complex and difficult to predict, it is necessary to take a risk-averse approach in managing the species with the largest potential variation. The incorporation of climate regime shifts in fisheries management will require a better understanding of recruitment during a particular regime and a reliable way to identify regime shifts based on biological and (or) physical indices.

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