2011•Unpublished venueRequires access

Linking Conservation Actions with Population Viability Models: Reducing Uncertainty to Better Predict Management Effects on Viability

James M. Scott, Edward O. Garton, Brian Dennis, Jon S. Horne, Dale D. Goble, Katherine M. Strickler, Matthew J. Kauffman, L. Scott Mills, Cynthia R. Hartway

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Abstract

Abstract : The overall objective of this program was to develop a set of models and methods for prioritizing management of threatened, endangered, and at-risk species. Specifically, we sought to develop tools for evaluating effects of management on population viability using varying levels of data: 1) life history data when little is known about a species, 2) count data when only estimates of abundance through time are available, and 3) metapopulation models when we have a lot of demographic data about multiple populations.

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What this paper is about

Abstract : The overall objective of this program was to develop a set of models and methods for prioritizing management of threatened, endangered, and at-risk species. Specifically, we sought to develop tools for evaluating effects of management on population viability using varying levels of data: 1) life history data when little is known about a species, 2) count data when only estimates of abundance through time are available, and 3) metapopulation models when we have a lot of demographic data about multiple populations.

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Available abstract

Abstract : The overall objective of this program was to develop a set of models and methods for prioritizing management of threatened, endangered, and at-risk species. Specifically, we sought to develop tools for evaluating effects of management on population viability using varying levels of data: 1) life history data when little is known about a species, 2) count data when only estimates of abundance through time are available, and 3) metapopulation models when we have a lot of demographic data about multiple populations.

Key concepts: Population viability analysis, Population, Medicine, Environmental health, Endangered species

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