Document Detail


Integrating fisheries approaches and household utility models for improved resource management.
MedLine Citation:
PMID:  21205895     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Natural resource management is littered with cases of overexploitation and ineffectual management, leading to loss of both biodiversity and human welfare. Disciplinary boundaries stifle the search for solutions to these issues. Here, I combine the approach of management strategy evaluation, widely applied in fisheries, with household utility models from the conservation and development literature, to produce an integrated framework for evaluating the effectiveness of competing management strategies for harvested resources against a range of performance metrics. I demonstrate the strengths of this approach with a simple model, and use it to examine the effect of manager ignorance of household decisions on resource management effectiveness, and an allocation tradeoff between monitoring resource stocks to reduce observation uncertainty and monitoring users to improve compliance. I show that this integrated framework enables management assessments to consider household utility as a direct metric for system performance, and that although utility and resource stock conservation metrics are well aligned, harvest yield is a poor proxy for both, because it is a product of household allocation decisions between alternate livelihood options, rather than an end in itself. This approach has potential far beyond single-species harvesting in situations where managers are in full control; I show that the integrated approach enables a range of management intervention options to be evaluated within the same framework.
Authors:
E J Milner-Gulland
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2011-01-04
Journal Detail:
Title:  Proceedings of the National Academy of Sciences of the United States of America     Volume:  108     ISSN:  1091-6490     ISO Abbreviation:  Proc. Natl. Acad. Sci. U.S.A.     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2011-01-26     Completed Date:  2011-04-26     Revised Date:  2011-08-01    
Medline Journal Info:
Nlm Unique ID:  7505876     Medline TA:  Proc Natl Acad Sci U S A     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1741-6     Citation Subset:  IM    
Affiliation:
Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, United Kingdom. e.j.milner-gulland@imperial.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Agriculture / methods,  statistics & numerical data
Algorithms*
Animals
Conservation of Natural Resources / methods*,  statistics & numerical data
Decision Making
Ecosystem
Family Characteristics
Fisheries / methods*
Fishes / growth & development
Humans
Models, Theoretical*
Comments/Corrections

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


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