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Do explicit criteria help in selecting indicators for ecosystem-based fisheries management?
Author(s) -
Marie-Joëlle Rochet,
Jake Rice
Publication year - 2005
Publication title -
ices journal of marine science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.348
H-Index - 117
eISSN - 1095-9289
pISSN - 1054-3139
DOI - 10.1016/j.icesjms.2005.01.007
Subject(s) - selection (genetic algorithm) , fisheries management , transparency (behavior) , judgement , consistency (knowledge bases) , computer science , process (computing) , environmental resource management , fishery , environmental science , political science , artificial intelligence , fishing , computer security , law , biology , operating system
An evaluation framework developed to help select an appropriate suite of indicators to support an ecosystem approach to fisheries management was tested experimentally by asking independent experts to weight the selection criteria provided and to score indicators against those criteria in several ecological settings. The steps in selecting indicators proved to be prone to subjectivity and value judgement, and differences in scores between experts were the main factor contributing to variability in evaluation results. Having to justify scores in a written document did not improve consistency among the experts. The framework, however, did enhance transparency by explicitly stating each issue to be addressed in the selection process, and by giving experts or stakeholders the opportunity to present their values explicitly. For example, using a longer list of simpler selection criteria appeared to provide less controversial results than a shorter list of more complex ones.

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