2008
DOI: 10.1073/pnas.0805265105
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When to stop managing or surveying cryptic threatened species

Abstract: Threatened species become increasingly difficult to detect as their populations decline. Managers of such cryptic threatened species face several dilemmas: if they are not sure the species is present, should they continue to manage for that species or invest the limited resources in surveying? We find optimal solutions to this problem using a Partially Observable Markov Decision Process and rules of thumb derived from an analytical approximation. We discover that managing a protected area for a cryptic threate… Show more

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Cited by 176 publications
(185 citation statements)
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“…As demonstrated in Chadès et al (9), the problem of when to stop managing and surveying a single population of cryptic species is dependent on the relative cost of survey and management, the cost of the infection, the benefits of eradication, and the efficiency of management and surveillance determine the switching points (9). To avoid rerunning the POMDP algorithms for every network studied, we build on this work and derive an analytic approximation by transforming our network POMDP problem into a single POMDP.…”
Section: Resultssupporting
confidence: 57%
See 3 more Smart Citations
“…As demonstrated in Chadès et al (9), the problem of when to stop managing and surveying a single population of cryptic species is dependent on the relative cost of survey and management, the cost of the infection, the benefits of eradication, and the efficiency of management and surveillance determine the switching points (9). To avoid rerunning the POMDP algorithms for every network studied, we build on this work and derive an analytic approximation by transforming our network POMDP problem into a single POMDP.…”
Section: Resultssupporting
confidence: 57%
“…Most pests, diseases, and threatened species cannot be detected perfectly (9). Apparently susceptible nodes may, in fact, be infected.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Markov Decision Process (MDP) or Partially Observed Markov Decision Process (POMDP) have been used to propose new management strategies for conservation (Chadès et al, 2008) and agriculture (Tixier et al, 2013b). These mathematical models provide a framework, taking account of the cost-benefit trade-offs, for sequential decision-making when there is a high level of uncertainty.…”
Section: From Theory To Practicementioning
confidence: 99%