The Ghost of Extinction: Preservation Values and Minimum Viable Population in Wildlife Models
AbstractThe inclusion of a minimum viable population in bioeconomic modeling creates at least two complications that are not resolved by using a modified logistic growth function. The first complication can be dealt with by choosing a different depensational growth function. The second complication relates to the inclusion of the in situ benefits of wildlife into the analysis. Knowledge about the magnitude of the in situ benefits provides no guide for policy about conservation management. Simply knowing that people are willing to pay a large amount each year to protect a species says nothing about whether one should manage habitat to protect or enhance the species’ numbers, unless the species is in imminent danger of extinction. If willingness to pay is to be a guide, it needs to be better tied to population numbers, especially the minimum viable population.
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Bibliographic InfoPaper provided by University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group in its series Working Papers with number 2008-09.
Length: 34 pages
Date of creation: Jul 2008
Date of revision:
marginal willingness to pay; endangered species and extinction; minimum viable population;
Other versions of this item:
- Eiswerth, Mark E. & van Kooten, G. Cornelis, 2009. "The ghost of extinction: Preservation values and minimum viable population in wildlife models," Ecological Economics, Elsevier, vol. 68(7), pages 2129-2136, May.
- van Kooten, G. Cornelis & Eiswerth, Mark E., 2007. "The Ghost of Extinction: Preservation Values and Minimum Viable Population in Wildlife Models," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 9790, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
- Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
This paper has been announced in the following NEP Reports:
- NEP-AGR-2008-07-30 (Agricultural Economics)
- NEP-ALL-2008-07-30 (All new papers)
- NEP-ENV-2008-07-30 (Environmental Economics)
- NEP-RES-2008-07-30 (Resource Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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