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Testing Decision Rules for Categorizing Species Extinction Risk to Help Develop Quantitative Listing Criteria for the U.S. Endangered Species Act

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dc.contributor.author Regan, Tracey J. en
dc.contributor.author Taylor, Barbara L. en
dc.contributor.author Thompson, Grant G. en
dc.contributor.author Cochrane, Jean Fitts en
dc.contributor.author Ralls, Katherine en
dc.contributor.author Runge, Michael C. en
dc.contributor.author Merrick, Richard en
dc.date.accessioned 2013-07-09T16:03:08Z
dc.date.available 2013-07-09T16:03:08Z
dc.date.issued 2013
dc.identifier.citation Regan, Tracey J., Taylor, Barbara L., Thompson, Grant G., Cochrane, Jean Fitts, Ralls, Katherine, Runge, Michael C., and Merrick, Richard. 2013. "<a href="https%3A%2F%2Frepository.si.edu%2Fhandle%2F10088%2F21039">Testing Decision Rules for Categorizing Species’ Extinction Risk to Help Develop Quantitative Listing Criteria for the U.S. Endangered Species Act</a>." <em>Conservation Biology</em>. 27 (4):821&ndash;831. <a href="https://doi.org/10.1111/cobi.12055">https://doi.org/10.1111/cobi.12055</a> en
dc.identifier.issn 0888-8892
dc.identifier.uri http://hdl.handle.net/10088/21039
dc.description.abstract Lack of guidance for interpreting the definitions of endangered and threatened in the U.S. Endangered Species Act (ESA) has resulted in case-by-case decision making leaving the process vulnerable to being considered arbitrary or capricious. Adopting quantitative decision rules would remedy this but requires the agency to specify the relative urgency concerning extinction events over time, cutoff risk values corresponding to different levels of protection, and the importance given to different types of listing errors. We tested the performance of 3 sets of decision rules that use alternative functions for weighting the relative urgency of future extinction events: a threshold rule set, which uses a decision rule of x% probability of extinction over y years; a concave rule set, where the relative importance of future extinction events declines exponentially over time; and a shoulder rule set that uses a sigmoid shape function, where relative importance declines slowly at first and then more rapidly. We obtained decision cutoffs by interviewing several biologists and then emulated the listing process with simulations that covered a range of extinction risks typical of ESA listing decisions. We evaluated performance of the decision rules under different data quantities and qualities on the basis of the relative importance of misclassification errors. Although there was little difference between the performance of alternative decision rules for correct listings, the distribution of misclassifications differed depending on the function used. Misclassifications for the threshold and concave listing criteria resulted in more overprotection errors, particularly as uncertainty increased, whereas errors for the shoulder listing criteria were more symmetrical. We developed and tested the framework for quantitative decision rules for listing species under the U.S. ESA. If policy values can be agreed on, use of this framework would improve the implementation of the ESA by increasing transparency and consistency.Evaluando Reglas de Decisión para Categorizar el Riesgo de Extinción de Especies con el Fin de Desarrollar de Criterios Cuantitativos de Alistamiento en el Acta de Especies en Peligro de los EE. UU. en
dc.relation.ispartof Conservation Biology en
dc.title Testing Decision Rules for Categorizing Species Extinction Risk to Help Develop Quantitative Listing Criteria for the U.S. Endangered Species Act en
dc.type Journal Article en
dc.identifier.srbnumber 115809
dc.identifier.doi 10.1111/cobi.12055
rft.jtitle Conservation Biology
rft.volume 27
rft.issue 4
rft.spage 821
rft.epage 831
dc.description.SIUnit NZP en
dc.description.SIUnit Peer-reviewed en
dc.citation.spage 821
dc.citation.epage 831


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