Measuring the strength of demographic stochasticity

Journal of Theoretical Biology

Volumn 183, Issue 2, 1996, Pages 169-178

  Kokko, Hanna ^b   Ebenhard, Torbjörn ^a  

^a Swedish Biodiversity Centre   (Sweden)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DEMOGRAPHY; POPULATION DYNAMICS; POPULATION MODEL; PRIORITY JOURNAL; PROBABILITY; STATISTICAL ANALYSIS;

EID: 0030597351     PISSN: 00225193     EISSN: None     Source Type: Journal    
DOI: 10.1006/jtbi.1996.0210     Document Type: Article

References (29)

1. BEUDELS, R. C., DURANT, S. M. & HARWOOD, J. (1992). Assessing the risks of extinction for local populations of roan antelope Hippotragus equinus. Biol. Conserv. 61, 107-116.
2. BOWERS, M. A. (1994). Dynamics of age- and habitat-structured populations. Oikos 69, 327-333.
3. BURGMAN, M. A., FERSON, S. & AKÇAKAYA, H. R. (1993). Risk assessment in conservation biology. London: Chapman & Hall.
4. BURGMAN, M. A. & GERARD, V. A. (1990). A stage-structured, stochastic population model for the giant kelp Macrocystis pyrifera. Mar. Biol. 105, 15-23.
5. CASWELL, H. (1989). Matrix population models. Sunderland: Sinauer.
6. CAUGHLEY, G. (1994). Directions in conservation biology. J. Anim. Ecol. 63, 215-244.
7. DURANT, S. M. & HARWOOD, J. (1992). Assessment of monitoring and management strategies for local populations of the Mediterranean monk seal Monachus monachus. Biol. Conserv. 61, 81-92.
8. FALCONER, D. S. & MACKAY, T. F. C. (1996). Introduction to quantitative genetics. 4th Edn. Harlow: Longman.
9. FORNEY, K. A. & GILPIN, M. E. (1989). Spatial structure and population extinction: A study with Drosophila flies. Conserv. Biol. 3, 45-51.
10. GILINSKY, N. L. & GOOD, I. J. (1991). Probabilities of origination, persistence, and extinction of families of marine invertebrate life. Paleobiol. 17, 145-166.
11. GILPIN, M. E. (1992). Demographic stochasticity: a Markovian approach. J. theor. Biol. 154, 1-8.
12. GILPIN, M. E. & TAYLOR, B. (1994). Reduced dimensional population transition matrices: Extinction distributions from Markovian dynamics. Theor. Popul. Biol. 46, 121-130.
13. GRIMMETT, G. R. & STIRZAKER, D. R. (1992). Probability and random processes. 2nd Edn. Oxford: Oxford University Press.
14. HARRIS, T. E. (1963). The theory of branching processes. Berlin: Springer.
15. HOLGATE, P. (1967). Population survival and life history phenomena. J. theor. Biol. 14, 1-10.
16. IWASA, Y. & MOCHIZUKI, H. (1988). Probability of population extinction accompanying a temporary decrease of population size. Res. Popul. Ecol. 30, 145-164.
17. JAGERS, P. (1975). Branching processes with biological applications. London: Wiley.
18. JAGERS, P. (1991). The Growth and Stabilization of Populations. Statistical Science 6, 269-283.
19. KOKKO, H. (1996). Finding the risk of extinction: error analysis and optimal use of Markovian transition matrices. J. theor. Biol. 77-87.
20. LANDE, R. (1988). Genetics and demography in biological conservation. Science 241, 1455-1460.
21. MAGUIRE, L. (1991). Risk analysis for conservation biologists. Conserv. Biol. 5, 123-125.
22. MCARTHUR, R. & WILSON, E. (1967). The theory of island biogeography. Princeton: Princeton University Press.
23. MCCARTHY, M. A., FRANKLIN, D. C. & BURGMAN, M. A. (1994). The importance of demographic uncertainty: an example from the helmeted honeyeater Lichenostomus melanops cassidix. Biol. Cons. 67, 135-142.
24. MODE, C. (1971). Multitype branching processes. New York: Elsevier.
25. RICHTER-DYN, N. & GOEL, N. (1972). On the extinction of a colonizing species. Theor. Popul. Biol. 3, 406-433.
26. SHAFFER, M. (1981). Minimum population sizes for species conservation. Bioscience 31, 131-134.
27. SIMBERLOFF, D. (1988). The contribution of population and community biology to conservation science. Ann. Rev. Ecol. Syst. 19, 473-511.
28. 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.
29. WISSEL, C. & ZASCHKE, S. H. (1994). Stochastic birth and death processes describing minimum viable populations. Ecol. Model. 75-76, 193-201.