Importance of buffer mechanisms for population viability analysis

Conservation Biology

Volumn 19, Issue 2, 2005, Pages 578-580

  Grimm, Volker ^a   Revilla, Eloy ^b   Groeneveld, Jürgen ^a   Kramer Schadt, Stephanie ^a   Schwager, Monika ^c   Tews, Jörg ^c   Wichmann, Matthias C ^c,d   Jeltsch, Florian ^c  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b DEPARTMENT OF CONSERVATION BIOLOGY   (Spain)

^c UNIVERSITY OF POTSDAM   (Germany)

^d CENTRE FOR ECOLOGY AND HYDROLOGY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

POPULATION VIABILITY ANALYSIS;

EID: 16244372725     PISSN: 08888892     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1523-1739.2005.000163.x     Document Type: Short Survey

References (28)

1. Beissinger, S. R., and D. R. McCullough. 2002. Population viability analysis. The University of Chicago Press, Chicago.
2. Beissinger, S. R., and M. I. Westphal. 1998. On the use of demographic models of population viability in endangered species management. Journal of Wildlife Management 62:821-841.
3. Burgman, M. A., and H. Possingham. 2000. Population viability analysis for conservation: the good, the bad and the undescribed. Pages 97-112 in A. G. Young and G. M. Clarke, editors. Genetics, demography and viability of fragmented populations. Cambridge University Press, Cambridge, United Kingdom.
4. Burgman, M. A., S. Ferson, and H. R. Akcakaya. 1993. Risk assessment in conservation biology. Chapman & Hall, London.
5. Ferson, S., and M. A. Burgman. 1995. Correlations, dependency bounds and extinction risks. Biological Conservation 73:101-105.
6. Greene, C. M. 2003. Habitat selection reduces extinction of populations subject to Allee effects. Theoretical Population Biology 64:1-10.
7. Grimm, V., and U. Berger. 2003. Seeing the forest for the trees, and vice versa: pattern-oriented ecological modelling. Pages 411-428 in L. Seuront and P. G. Strutton, editors. Handbook of scaling methods in aquatic ecology: measurement, analysis, simulation. CRC Press, Boca Raton, Florida.
8. Grimm, V., N. Dorndorf, F. Frey-Roos, C. Wissel, T. Wyszomirski, and W. Arnold. 2003. Modelling the role of social behavior in the persistence of the alpine marmot Marmota marmota. Oikos 102:124-136.
9. Grimm, V., K. Frank, F. Jeltsch, R. Brandl, J. Uchmanski, and C. Wissel. 1996. Pattern-oriented modelling in population ecology. Science of the Total Environment 183:151-166.
10. Grimm, V., et al. 2004. META-X: a generic software for metapopulation viability analysis. Biodiversity and Conservation 13:165-188.
11. Hanski, I. 1999. Metapopulation ecology. Oxford University Press, Oxford, United Kingdom.
12. Heino, M. 1998. Noise colour, synchrony and extinctions in spatially structured populations. Oikos 83:368-375.
13. Jeltsch, F., G. E. Weber, and V. Grimm. 2000. Ecological buffering mechanisms in savannas: a unifying theory of long-term tree-grass coexistence. Plant Ecology 150:161-171.
14. Johst, K., and M. Drechsler. 2003. Are spatially correlated or uncorrelated disturbance regimes better for the survival of species? Oikos 103:449-456.
15. Kendall, B. E., and G. A. Fox. 2002. Variation among individuals reduces demographic stochasticity. Conservation Biology 16:109-116.
16. Kendall, B. E., and G. A. Fox. 2003. Unstructured individual variation and demographic stochasticity. Conservation Biology 17:1170-1172.
17. Lande, R. 1988. Genetics and demography in biological conservation. Science 241:1455-1460.
18. Lande, R. 1993. Risks of population extinction from demographic and environmental stochasticity and random catastrophes. The American Naturalist 142:911-927.
19. McLaughlin, J. F., J. J. Hellmann, C. L. Boggs, and P. R. Ehrlich. 2002. The route to extinction: population dynamics of a threatened butterfly. Oecologia 132:538-548.
20. Mooij, W. M., and D. L. DeAngelis. 2003. Uncertainty in spatially explicit animal dispersal models. Ecological Applications 13:794-805.
21. Ralls, K., S. R. Beissinger, and J. F. Cochrane. 2002. Guidelines for using population viability analysis in endangered-species management. Pages 521-550 in S. R. Beissinger and D.R. McCullough, editors. Population viability analysis. The University of Chicago Press, Chicago.
22. Reed, J. M., L. S. Mills, J. B. Dunning, E. S. Menges, K. S. McKelvey, R. Frye, S. R. Beissinger, M.-C. Anstett, and P. Miller. 2002. Emerging issues in population viability analysis. Conservation Biology 16:7-19.
23. Soulé, M. E. 1986. Conservation biology. Sinauer Associates, Sunderland, Massachusetts.
24. Walters, J. R., L. B. Crowder, and J. A. Priddy. 2002. Population viability analysis for red-cockaded woodpeckers using an individual-based model. Ecological Applications 12:249-260.
25. Wichmann, M. C., F. Jeltsch, W. R. J. Dean, K. A. Moloney, and C. Wissel. 2003a. Implication of climate change for the persistence of raptors in arid savanna. Oikos 102:186-202.
26. Wichmann, M. C., K. Johst, K. A. Moloney, C. Wissel, and F. Jeltsch. 2003b. Extinction risk in periodically fluctuating environments. Ecological Modelling 167:221-231.
27. Wiegand, T., F. Jeltsch, I. Hanski, and V. Grimm. 2003. Using pattern-oriented modeling for revealing hidden information: a key for reconciling ecological theory and conservation practice. Oikos 100:209-222.
28. Wissel, C., T. Stephan, and S.-H. Zaschke. 1994. Modelling extinction and survival of small populations. Pages 67-103 in H. Remmert, editor. Minimum animal populations. Ecological studies 106. Springer-Verlag, Berlin.