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Characterizing Fishing Effort and Spatial Extent of Coastal Fisheries

Overview of attention for article published in PLOS ONE, December 2010
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399 Mendeley
Title
Characterizing Fishing Effort and Spatial Extent of Coastal Fisheries
Published in
PLOS ONE, December 2010
DOI 10.1371/journal.pone.0014451
Pubmed ID
Authors

Kelly R. Stewart, Rebecca L. Lewison, Daniel C. Dunn, Rhema H. Bjorkland, Shaleyla Kelez, Patrick N. Halpin, Larry B. Crowder

Abstract

Biodiverse coastal zones are often areas of intense fishing pressure due to the high relative density of fishing capacity in these nearshore regions. Although overcapacity is one of the central challenges to fisheries sustainability in coastal zones, accurate estimates of fishing pressure in coastal zones are limited, hampering the assessment of the direct and collateral impacts (e.g., habitat degradation, bycatch) of fishing. We compiled a comprehensive database of fishing effort metrics and the corresponding spatial limits of fisheries and used a spatial analysis program (FEET) to map fishing effort density (measured as boat-meters per km²) in the coastal zones of six ocean regions. We also considered the utility of a number of socioeconomic variables as indicators of fishing pressure at the national level; fishing density increased as a function of population size and decreased as a function of coastline length. Our mapping exercise points to intra and interregional 'hotspots' of coastal fishing pressure. The significant and intuitive relationships we found between fishing density and population size and coastline length may help with coarse regional characterizations of fishing pressure. However, spatially-delimited fishing effort data are needed to accurately map fishing hotspots, i.e., areas of intense fishing activity. We suggest that estimates of fishing effort, not just target catch or yield, serve as a necessary measure of fishing activity, which is a key link to evaluating sustainability and environmental impacts of coastal fisheries.

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Geographical breakdown

Country Count As %
United States 4 1%
Brazil 3 <1%
Portugal 2 <1%
Canada 2 <1%
France 1 <1%
Sweden 1 <1%
Colombia 1 <1%
Mexico 1 <1%
Tanzania, United Republic of 1 <1%
Other 2 <1%
Unknown 381 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 86 22%
Student > Ph. D. Student 62 16%
Student > Master 62 16%
Student > Bachelor 40 10%
Other 21 5%
Other 73 18%
Unknown 55 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 130 33%
Environmental Science 110 28%
Social Sciences 16 4%
Earth and Planetary Sciences 15 4%
Economics, Econometrics and Finance 8 2%
Other 40 10%
Unknown 80 20%