Dealing with data uncertainty in conservation planning

Wilson, Kerrie Ann (2010) Dealing with data uncertainty in conservation planning. Natureza and Conservação [Nature and Conservation], 8 2: 145-150. doi:10.4322/natcon.00802007


Author Wilson, Kerrie Ann
Title Dealing with data uncertainty in conservation planning
Journal name Natureza and Conservação [Nature and Conservation]
ISSN 1679-0073
2178-3675
Publication date 2010-12
Sub-type Article (original research)
DOI 10.4322/natcon.00802007
Volume 8
Issue 2
Start page 145
End page 150
Total pages 6
Editor Rafael Dias Loyola
Place of publication Curitiba, Brasil
Publisher Associação Brasileira de Ciência Ecológica e Conservação (ABECO) [Brazilian Association of Ecological Science and Conservation]
Collection year 2011
Language eng
Abstract Conservation planning analyses often employ data on biodiversity and sometimes vulnerability and these data are generally assumed to be accurate and correct. Here, different ways of exploring uncertainty associated with typical input data used for conservation planning are illustrated. First the uncertainty associated with predicted species distribution data is measured, summarised, and visualised. Second the uncertainty associated with the choice of vulnerability model is evaluated using Bayesian Model Averaging and the implication of this uncertainty on inference about key relationships associated with native forest conversion is assessed. The approaches used to assess uncertainty are applicable to any conservation planning exercise and such assessments will increase confidence in the products developed and reduce the risk that conservation effort is misdirected. Copyright© 2010 ABECO
Keyword Conservation planning
Bayesian model averaging
Species distribution models
Uncertainty
Vulnerability
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
School of Biological Sciences Publications
 
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Created: Mon, 20 Dec 2010, 14:35:17 EST by Gail Walter on behalf of School of Biological Sciences