Modeling Extreme Risks in Ecology

Mark Burgman, James Franklin, Keith R. Hayes, Geoffrey R. Hosack, Gareth W. Peters, Scott A. Sisson

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Extreme risks in ecology are typified by circumstances in which data are sporadic or unavailable, understanding is poor, and decisions are urgently needed. Expert judgments are pervasive and disagreements among experts are commonplace. We outline approaches to evaluating extreme risks in ecology that rely on stochastic simulation, with a particular focus on methods to evaluate the likelihood of extinction and quasi‐extinction of threatened species, and the likelihood of establishment and spread of invasive pests. We evaluate the importance of assumptions in these assessments and the potential of some new approaches to account for these uncertainties, including hierarchical estimation procedures and generalized extreme value distributions. We conclude by examining the treatment of consequences in extreme risk analysis in ecology and how expert judgment may better be harnessed to evaluate extreme risks.
Original languageEnglish
Pages (from-to)1956-1966
Number of pages11
JournalRisk Analysis
Volume32
Issue number11
DOIs
Publication statusPublished - Nov 2012

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    Burgman, M., Franklin, J., Hayes, K. R., Hosack, G. R., Peters, G. W., & Sisson, S. A. (2012). Modeling Extreme Risks in Ecology. Risk Analysis, 32(11), 1956-1966. https://doi.org/10.1111/j.1539-6924.2012.01871.x