2007
DOI: 10.1641/b570110
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Merging Precaution with Sound Science under the Endangered Species Act

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

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Cited by 28 publications
(21 citation statements)
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“…Yet, when dealing with endangered or threatened species, McGarvey argues that a Type I error is preferable to a Type II error, since failure to detect a threat to an endangered species could result in irreversible damage, such as species extinction. 41,42,43,44 In a similar vein, Christoforou claims, ''existing risk assessment methodologies are inherently biased in favor of avoiding overinclusive regulatory measures (i.e., the inclination is to avoid false positives) for fear of imposing undue costs on technological progress and society'' (pp. [34][35].…”
Section: Precautionary Language and Associated Conceptsmentioning
confidence: 99%
“…Yet, when dealing with endangered or threatened species, McGarvey argues that a Type I error is preferable to a Type II error, since failure to detect a threat to an endangered species could result in irreversible damage, such as species extinction. 41,42,43,44 In a similar vein, Christoforou claims, ''existing risk assessment methodologies are inherently biased in favor of avoiding overinclusive regulatory measures (i.e., the inclination is to avoid false positives) for fear of imposing undue costs on technological progress and society'' (pp. [34][35].…”
Section: Precautionary Language and Associated Conceptsmentioning
confidence: 99%
“…However, from a conservation biology perspective, simplification has been disputed. According with the precautionary principle (Haller 2000;Hanson 2003), to discard the effect of CAD when it does exist (type-II error) is more costly than keeping it in the model (Gray 1990;Buhl-Mortensen 1996;Kriebel et al 2001;McGarvey 2007).…”
Section: Lessons On Model Selectionmentioning
confidence: 99%
“…This challenge is shared by field studies where statistical tests for differences or lack thereof are dependent on the choice of a threshold for a meaningful effect size to test for. These choices are often subjective (McGarvey 2007;Brosi and Bilber 2009;Munkittrick et al 2009). The benefit for risk management of quantitative modeling is that metrics such as projected population trajectories, expected minimum abundances, risks of quasi-extinction and chances of recovery are in a currency that more closely relates to narrative policy requirements such as to "not appreciably reduce the likelihood of the survival and recovery of the species in the wild" than either the original effects, such as reduced juvenile growth measured in a laboratory, or exceedences of criteria or effects benchmarks.…”
Section: Risk Interpretation and Communicationmentioning
confidence: 99%