Journal
BIODIVERSITY AND CONSERVATION
Volume 13, Issue 1, Pages 115-139Publisher
SPRINGER
DOI: 10.1023/B:BIOC.0000004315.09433.f6
Keywords
Bayesian analysis; decision analysis; hypothesis testing; population viability analysis; preference; uncertainty
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Management of endangered species requires methods to assess the effects of strategies, providing a basis for deciding on a best course of action. An important component of assessment is population viability analysis (PVA). The latter may be formally implemented through decision analysis (DA). These methods are most useful for conservation when used in conjunction. In this paper we outline the objectives and the potential of both frameworks and their overlaps. Both are particularly helpful when dealing with uncertainty. A major problem for conservation decision-making is the interpretation of observations and scientific measurements. This paper considers probabilistic and non-probabilistic approaches to assessment and decision-making and recommends appropriate contexts for alternative approaches.
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