Document Detail


The value of spatial information in MPA network design.
MedLine Citation:
PMID:  20176962     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The science of spatial fisheries management, which combines ecology, oceanography, and economics, has matured significantly. As a result, there have been recent advances in exploiting spatially explicit data to develop spatially explicit management policies, such as networks of marine protected areas (MPAs). However, when data are sparse, spatially explicit policies become less viable, and we must instead rely on blunt policies such as total allowable catches or imprecisely configured networks of MPAs. Therefore, spatial information has the potential to change management approaches and thus has value. We develop a general framework within which to analyze the value of information for spatial fisheries management and apply that framework to several US Pacific coast fisheries. We find that improved spatial information can increase fishery value significantly (>10% in our simulations), and that it changes dramatically the efficient management approach-switching from diffuse effort everywhere to a strategy where fishing is spatially targeted, with some areas under intensive harvest and others closed to fishing. Using all available information, even when incomplete, is essential to management success and may as much as double fishery value relative to using (admittedly incorrect) assumptions commonly invoked.
Authors:
Christopher Costello; Andrew Rassweiler; David Siegel; Giulio De Leo; Fiorenza Micheli; Andrew Rosenberg
Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2010-02-22
Journal Detail:
Title:  Proceedings of the National Academy of Sciences of the United States of America     Volume:  107     ISSN:  1091-6490     ISO Abbreviation:  Proc. Natl. Acad. Sci. U.S.A.     Publication Date:  2010 Oct 
Date Detail:
Created Date:  2010-10-27     Completed Date:  2010-11-22     Revised Date:  2011-07-28    
Medline Journal Info:
Nlm Unique ID:  7505876     Medline TA:  Proc Natl Acad Sci U S A     Country:  United States    
Other Details:
Languages:  eng     Pagination:  18294-9     Citation Subset:  IM    
Affiliation:
Bren School of Environmental Science and Management, University of California, Santa Barbara, CA 93106, USA. costello@bren.ucsb.edu
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MeSH Terms
Descriptor/Qualifier:
Animals
Biomass
California
Conservation of Natural Resources* / economics,  statistics & numerical data
Ecosystem
Fisheries* / economics,  statistics & numerical data
Fishes / growth & development
Larva / growth & development
Marine Biology / economics,  organization & administration*,  statistics & numerical data
Pacific Ocean
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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