Predictive accuracy of population viability analysis in conservation biology

Barry W. Brook*, Julian J. O'Grady, Andrew P. Chapman, Mark A. Burgman, H. Resit Akçakaya, Richard Frankham

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

412 Citations (Scopus)

Abstract

Population viability analysis (PVA) is widely applied in conservation biology to predict extinction risks for threatened species and to compare alternative options for their mangement. It can also be used as a basis for listing species as endangered under World Conservation Union criteria. However, there is considerable scepticism regarding the predictive accuracy of PVA, mainly because of a lack of validation in real systems. Here we conducted a retrospective test of PVA based on 21 long-term ecological studies the first comprehensive and replicated evaluation of the predictive powers of PVA. Parameters were estimated from the first half of each data set and the second half was used to evaluate the performance of the model. Contrary to recent criticisms, we found that PVA predictions were surprisingly accurate. The risk of population decline closely matched observed outcomes, there was no significant bias, and population size projections did not differ significantly from reality. Furthermore, the predictions of the five PVA software packages were highly concordant. We conclude that PYA is a valid and sufficiently accurate tool for categorizing and managing endangered species.

Original languageEnglish
Pages (from-to)385-387
Number of pages3
JournalNature
Volume404
Issue number6776
DOIs
Publication statusPublished - 23 Mar 2000

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