Stochastic seasonality and nonlinear density-dependent factors regulate population size in an African rodent

Nature

Volumn 389, Issue 6647, 1997, Pages 176-180

  Leirs, Herwig ^a   Stenseth, Nils Chr ^b   Nichols, James D ^c   Hines, James E ^c   Verhagen, Ron ^d   Verheyen, Walter ^d  

^a Danish Pest Infestation Laboratory   (Denmark)

^b UNIVERSITY OF OSLO   (Norway)

^c PATUXENT WILDLIFE RESEARCH CENTER   (United States)

^d UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

DENSITY DEPENDENCE; POPULATION REGULATION; POPULATION SIZE; SEASONALITY;

AFRICA; ARTICLE; DEMOGRAPHY; ECOLOGY; NONHUMAN; NONLINEAR SYSTEM; POPULATION DENSITY; POPULATION DYNAMICS; POPULATION GROWTH; PRIORITY JOURNAL; RODENT; SEASONAL VARIATION; STATISTICAL ANALYSIS; STOCHASTIC MODEL;

AFRICA; ANIMALS; ECOLOGY; FEMALE; LONGEVITY; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MURIDAE; POPULATION DENSITY; PREGNANCY; RAIN; REPRODUCTION; SEASONS; STOCHASTIC PROCESSES;

MASTOMYS; MASTOMYS NATALENSIS; MURIDAE; RODENTIA;

EID: 0030865778     PISSN: 00280836     EISSN: None     Source Type: Journal    
DOI: 10.1038/38271     Document Type: Article

References (30)

1. Andrewartha, H. G. & Birch, L. C. The Distribution and Abundance of Animals (Univ. Chicago Press, 1954).
2. Nicholson, A. The balance of animal populations. J. Anim. Ecol. 2, 132-178 (1933).
3. Hörnfeldt, B. Delayed density dependence as a determinant of vole cycles. Ecology 75, 791-806 (1994).
4. Saitoh, T., Stenseth, N. C. & Bjørnstad, O. N. Density-dependence in fluctuating grey-sided vole populations. J. Anim. Ecol 66, 14-24 (1997).
5. Grenfell, B. T., Price, O. F., Albon, S. D. & Clutton-Brock, T. H. Overcompensation and population cycles in an ungulate. Nature 355, 823-826 (1992).
6. Putman, R. J7., Langbein, J., Hewison, A. J. M. & Sharma, S. K. Relative roles of density-dependent and density-independent factors in population dynamics of British deer. Mamm. Rev. 26, 81-101 (1996).
7. Ostfeld, R. S., Canham, C. D. & Pugh, S. R. Intrinsic density-dependent regulation of vole populations. Nature 366, 259-261 (1993).
8. Ostfeld, R. S. & Canham, C. D. Density-dependent processes in meadow voles: an experimental approach. Ecology 76, 521-532 (1995).
9. Lebreton, J.-D. & Clobert, J. in Bird Population Studies, Relevance to Conservation and Management (eds Perrins, C. M., Lebreton, J.-D. & Hirons, G. J. M.) 105-125 (Oxford Univ. Press, 1991).
10. Wolda, H. & Dennis, B. Density dependence tests; are they? Oecologia 95, 581-591 (1993).
11. Leirs, H., Verhagen, R. & Verheyen, W. Productivity of different generations in a population of Mastomys natalensis rats in Tanzania. Oikos 68, 53-60 (1993).
12. Leirs, H., Verhagen, R., Verheyen, W., Mwanjabe, P. & Mbise, T. Forecasting rodent outbreaks in Africa: an ecological basis for Mastomys control in Tanzania. J. Appl. Ecol. 33, 937-943 (1996).
13. Leirs, H., Verhagen, R. & Verheyen, W. The basis of reproductive seasonality in Mastomys rats (Rodentia: Muridae) in Tanzania. J. Trop. Ecol. 10, 55-66 (1994).
14. Hubert, B., Couturier, G., Poulet, A. & Adam, F. Les conséquences d'un supplement alimentaire sur la dynamique des populations de rongeurs au Sénégal. I. Le cas de Mastomys erythroleucus en zone Sahélo-Soudanienne. Rev. Ecol. 35, 73-95 (1982).
15. Granjon, L., Ganem, G., Ba, K. & Duplantier, J.-M. Water physiology and population dynamics in insular populations of Mastomys huberti (Rodentia, Muridae). Pol. Ecol. Stud. 30, 343-355 (1994).
16. Ebenman, B. & Pearsson, B. Size Structured Populations: Ecology and Evolution (Springer, Berlin, 1988).
17. Orzack, S. H. in Structured-Population Models in Marine, Terrestrial and Freshwater Systems (eds Tuljapurkar, S. & Caswell, H.) 273-302 (Chapman & Hall, New York, 1997).
18. Cohen, J. E. Unexpected dominance of high frequencies in chaotic nonlinear population models. Nature 378, 610-612 (1995).
19. Sugihara, G. From out of the blue. Nature 378, 559-560 (1995).
20. White, A., Begon, M. & Bowers, R. G. Explaining the colour of power spectra in chaotic ecological models. Proc. R. Soc. Lond. B 263, 1731-1737 (1996).
21. Pollock, K. H. A capture-recapture design robust to unequal propability of capture. J. Wild, Mgmt 46, 757-760 (1982).
22. Brownie, C., Hines, J. E., Nichols, I. D., Pollock, K. H. & Hestbeck, J. B. Capture-recapture studies for multiple strata including non-Markovian transitions. Biometrics 49, 1173-1187 (1993).
23. Lebreton, J. D., Burnham, K. P., Clobert, J. & Anderson, D. R. Modeling survival and testing biological hypotheses using marked animals: a unified approach with case studies. Ecol. Monogr. 62, 67-118 (1992).
24. Pollock, K. H. Capture-recapture models allowing for age-dependent survival and capture rates. Biometrics 37, 521-529 (1981).
25. Hints, J. E. MSSURVIV User's Manual (Patuxent Environmental Science Center, Laurel, MD, 1994).
26. Krebs, C. J. Ecological Methodology (Harper Collins, New York, 1989).
27. Kendall, W. L. & Pollock, K. H. in Wildlife 2001: Populations (eds McCullough, D. R. & Barret, R. H.) 31-43 (Elsevier, London, 1992).
28. Nichols, J. D., Pollock, K. H. & Hines, J. E. The use of a robust capture-recapture design in small mammal population studies. A field example with Microtus penssylvanicus. Acta Theriol. 29, 357-365 (1984).
29. Ito, Y. On the methods for determining density-dependence by means of regression. Oecologia 10, 347-372 (1972).
30. Kuno, E. Sampling error as a misleading artifact in "key factor analysis". Res. Popul. Ecol. 15, 28-45 (1971).