4.7 Article

Spatial patterns of fishing effort off San Diego: implications for zonal management and ecosystem function

期刊

ECOLOGICAL APPLICATIONS
卷 20, 期 8, 页码 2203-2222

出版社

ECOLOGICAL SOC AMER
DOI: 10.1890/09-1543.1

关键词

ecosystem based management; edge fishing; fishing effort; habitat; lobster; marine protected areas; marine spatial planning; recreational fishing; sea urchins; zonal management

资金

  1. California Sea Grant
  2. SIO

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The essence of ecosystem-based management is managing human practices to conserve the ecosystem. Ecologists focus on understanding the ecosystem, but there are fundamental information gaps including patterns of human exploitation. In particular, the spatial distribution of fishing effort must be known at the scales needed for ecologically relevant management. Fishing is a primary impact on coastal ecosystems, yet catch distribution at scales relevant to habitats and processes are not well known for many fisheries. Here we utilized photographic time series, logbook records, and angler surveys to estimate the intensity and spatial pattern of commercial and recreational fishing. Effort was clearly aggregated for most types of fishing, the motivating factors for effort distribution varied among areas, and effort was coupled or uncoupled to habitat depending on the area and type of fishing. We estimated that similar to 60% and similar to 74% of private recreational and recreational charter vessel fishing effort, respectively, were concentrated into two small areas that also included similar to 78% of commercial sea urchin effort. Exploitation and effort were considerably greater in one kelp forest, which has important implications for patterns of kelp persistence, productivity, and ecosystem function. Areas subject to the greatest recreational fishing pressure appeared to have lower diversity. Our results indicate that fine-scale patterns of fishing effort and exploitation have profound consequences for ecosystem functioning and biodiversity. Ecosystem-based management of nearshore ecosystems depends on an understanding of the fine-scale patterns of exploitation.

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