Abstract
Global warming of the oceans is expected to alter the environmental conditions that determine the growth of a fishery resource. Most climate change studies are based on models and scenarios that focus on economic growth, or they concentrate on simulating the potential losses or cost to fisheries due to climate change. However, analysis that addresses model optimisation problems to better understand the complex dynamics of climate change and marine ecosystems is still lacking. In this paper, a simple algorithm to compute transitional dynamics in order to quantify the effect of climate change on the European sardine fishery is presented. The model results indicate that global warming will not necessarily lead to a monotonic decrease in the expected biomass levels. Our results show that if the resource is exploited optimally, then in the short run, increases in the surface temperature of the fishery ground are compatible with higher expected biomass and economic profit.
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