Commentary on Holmes et al. (2007): Resolving the debate on when extinction risk is predictable

Ecology Letters

Volumn 11, Issue 8, 2008, Pages

  Ellner, Stephen P ^a   Holmes, Elizabeth E ^b  

^a Department of Obstetrics Gynecology   (United States)

^b ALASKA FISHERIES SCIENCE CENTER   (United States)

Author keywords

Conservation biology; Diffusion approximation; Extinction; Population forecasting; Population viability analysis; PVA; Risk; Stochasticity

Indexed keywords

VERTEBRATA;

EID: 47249139490     PISSN: 1461023X     EISSN: 14610248     Source Type: Journal    
DOI: 10.1111/j.1461-0248.2008.01211.x     Document Type: Article

References (6)

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2. Doak, D.F., Estes, J.A. Halpern, B.S. Jacob, U., Lindberg, D.R., Lovvorn, J. et al. (2008). Understanding and predicting ecological dynamics: are major surprises inevitable. Ecology, 89, 952 961.
3. Fieberg, J. Ellner S.P. (2000) When is it meaningful to estimate an extinction probability? Ecology, 81, 2040 2047.
4. Holmes, E. E., Sabo, J.L., Viscido, S.V. Fagan W. (2007) A statistical approach to quasi-extinction forecasting. Ecol. Lett., 10, 1182 1198.
5. Ludwig, D. (1999) Is it meaningful to estimate a probability of extinction? Ecology, 80, 298 310.
6. R Development Core Team (2007). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org.