Finding the probability of extinction: Error analysis and optimal use of Markovian population models

Journal of Theoretical Biology

Volumn 183, Issue 1, 1996, Pages 77-87

  Kokko, Hanna ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER ANALYSIS; ERROR; POPULATION DYNAMICS; POPULATION GROWTH; POPULATION MODEL; PRIORITY JOURNAL; PROBABILITY;

EID: 0030574246     PISSN: 00225193     EISSN: None     Source Type: Journal    
DOI: 10.1006/jtbi.1996.0203     Document Type: Article

References (11)

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3. BURGMAN, M. A., FERSON, S. & AKÇAKAYA, H. R. (1993). Risk Assessment in Conservation Biology. London: Chapman & Hall.
4. CAUGHLEY, G. (1994). Directions in conservation biology. J. Animal. Ecol. 63, 215-244.
5. GILPIN, M. E. (1992). Demographic stochasticity: A Markovian approach. J. theor. Biol. 154, 1-8.
6. GILPIN, M. E. & TAYLOR, B. (1994). Reduced dimensional population transition matrices: Extinction distributions from Markovian dynamics. Theor. Pop. Biol. 46, 121-130.
7. MAGUIRE, L. (1991). Risk analysis for conservation biologists. Conserv. Biol. 5, 123-125.
8. SHAFFER, M. (1981). Minimum population sizes for species conservation. Bioscience 31, 131-134.
9. STEPHAN, T. & WISSEL, C. (1994). Stochastic extinction models discrete in time. Ecol. Model. 75/76, 183-192.
10. TAYLOR, B. L. & GERRODETTE, T. (1993). The uses of statistical power in conservation biology: The vaquita and northern spotted owl. Conserv. Biol. 7, 489-500.
11. WISSEL, C., STEPHAN, T. & ZASCHKE, S.-H. (1994). Modelling extinction and survival of small populations. In: Minimal Animal Populations (Remmert, H., ed.) pp. 67-103. Berlin: Springer.