Overcompensatory population dynamic responses to environmental stochasticity

Journal of Animal Ecology

Volumn 77, Issue 6, 2008, Pages 1296-1305

  Bull, James C ^a   Bonsall, Michael B ^b  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Callosobruchus; Density dependence; Hierarchical Bayes; Overcompensation; Population dynamics; State space; Stochasticity; Time series

Indexed keywords

BAYESIAN ANALYSIS; BEETLE; COMPENSATION; MICROCOSM; NOISE; POPULATION DYNAMICS; RESOURCE AVAILABILITY; STOCHASTICITY; TIME SERIES ANALYSIS;

ANIMAL; ARTICLE; BEETLE; ECOSYSTEM; PHYSIOLOGY; POPULATION DYNAMICS; STATISTICS;

ANIMALS; BEETLES; ECOSYSTEM; POPULATION DYNAMICS; STOCHASTIC PROCESSES;

BRUCHINAE; CALLOSOBRUCHUS; CALLOSOBRUCHUS CHINENSIS; CALLOSOBRUCHUS MACULATUS; COLEOPTERA; HEXAPODA;

EID: 53949121797     PISSN: 00218790     EISSN: 13652656     Source Type: Journal    
DOI: 10.1111/j.1365-2656.2008.01449.x     Document Type: Article

References (41)

1. Allee, W.C. (1931) Animal Aggregations: A Study in General Sociology. University of Chicago Press, Chicago, Illinois.
2. Anderson, C.N.K., Hsieh, C.-H., Sandin, S.A., Hewitt, R., Hollowed, A., Beddington, J., May, R.M. Sugihara, G. (2008) Why fishing magnifies fluctuations in fish abundance. Nature, 452, 835 839.
3. Bellows, T.S. (1982a) Analytical models for laboratory populations of Callosobruchus chinensis and C. maculatus (Coleoptera, Bruchidae). Journal of Animal Ecology, 51, 263 287.
4. Bellows, T.S. (1982b) Simulation models for laboratory populations of Callosobruchus chinensis and C. maculatus. Journal of Animal Ecology, 51, 597 623.
5. Benton, T.G. (2006) Revealing the ghost in the machine: using spectral analysis to understand the influence of noise on population dynamics. Proceedings of the National Academy of Sciences, USA, 103, 18387 18388.
6. Benton, T.G., Lapsley, C.T. Beckerman, A.P. (2002) The population response to environmental noise: population size, variance and correlation in an experimental system. Journal of Animal Ecology, 71, 320 332.
7. Bjørnstad, O.N. Grenfell, B.T. (2001) Noisy clockwork: time series analysis of population fluctuations in animals. Science, 293, 638 643.
8. Bjørnstad, O.N., Begon, M., Stenseth, N.C., Falck, W., Sait, S.M. Thompson, D.J. (1998) Population dynamics of the Indian meal moth: demographic stochasticity and delayed regulatory mechanisms. Journal of Animal Ecology, 67, 110 126.
9. Bonsall, M.B. Hastings, A. (2004) Demographic and environmental stochasticity in predator-prey metapopulation dynamics. Journal of Animal Ecology, 73, 1043 1055.
10. Bonsall, M.B., French, D.R. Hassell, M.P. (2002) Metapopulation structures affect persistence of predator-prey interactions. Journal of Animal Ecology, 71, 1075 1084.
11. Bonsall, M.B., Bull, J.C., Pickup, N.J. Hassell, M.P. (2005) Indirect effects and spatial scaling affect the persistence of multispecies metapopulations. Proceedings of the Royal Society B: Biological Sciences, 272, 1465 1471.
12. Box, G. Jenkins, G. (1970) Time Series Analysis: Forecasting and Control. Holden-Day, San Francisco.
13. Box, G.E.P. Cox, D.R. (1964) An analysis of transformations. Journal of the Royal Statistical Society. Series B, 26, 211 252.
14. Bull, J.C., Pickup, N.J., Hassell, M.P. Bonsall, M.B. (2006) Habitat shape, metapopulation processes and the dynamics of multispecies predator-prey interactions. Journal of Animal Ecology, 75, 899 907.
15. Bull, J.C., Pickup, N.J., Pickett, B., Hassell, M.P. Bonsall, M.B. (2007) Metapopulation extinction risk is increased by environmental stochasticity and assemblage complexity. Proceedings of the Royal Society B: Biological Sciences, 214, 87 96.
16. Burnham, K.P. Anderson, D.R. (2002) Model Selection and Multimodel Inference: A Practical Information-theoretic Approach. 2nd edn. Springer-Verlag Inc., New York.
17. Clark, J.S. (2007) Models for Ecological Data: An Introduction. Princeton University Press, Princeton, New Jersey.
18. Coulson, T., Catchpole, E.A., Albon, S.D., Morgan, B.J.T., Pemberton, J.M., Clutton-Brock, T.H., Crawley, M.J. Grenfell, B.T. (2001) Age, sex, density, winter weather, and population crashes in Soay sheep. Science, 292, 1528 1531.
19. Coulson, T., Benton, T.G, Lundberg, P., Dall, S.R.X., Kendall, B.E. Gaillard, J.M. (2006) Estimating individual contributions to population growth: evolutionary fitness in ecological time. Proceedings of the Royal Society B: Biological Sciences, 273, 547 555.
20. Courchamp, F., Berec, L. Gascoigne, J. (2008) Allee Effects in Ecology and Conservation. Oxford University Press, Oxford, UK.
21. Dennis, B., Desharnais, R.A., Cushing, J.M., Henson, S.M. Costantino, R.F. (2001) Estimating chaos and complex dynamics in an insect population. Ecological Monographs, 71, 277 303.
22. Fowler, C.W. (1981) Density dependence as related to life history strategy. Ecology, 62, 602 610.
23. Fujii, K. (1968) Studies on interspecies competition between the azuki bean weevil and the southern cowpea weevil. III. Some characteristics of strains of two species. Researches on Population Ecology, 10, 87 98.
24. Greenman, J.V. Benton, T.G. (2001) The impact of stochasticity on the behaviour of nonlinear population models: synchrony and the Moran effect. Oikos, 93, 343 351.
25. Gurney, W.S.C. Nisbet, R.M. (1998) Ecological Dynamics. Oxford University Press, Oxford, UK.
26. Hassell, M.P., Taylor, V.A. Reader, P.M. (1989) The dynamics of laboratory populations of Callosobruchus chinensis and C. maculatus (Coleoptera: Bruchidae) in patchy environment. Researches on Population Ecology, 31, 35 52.
27. Leirs, H., Stenseth, N.C., Nichols, J.D., Hines, J.E., Verhagen, R. Verheyen, W. (1997) Stochastic seasonality and nonlinear density-dependent factors regulate population size in an African rodent. Nature, 389, 176 180.
28. May, R.M. (1972) Limit cycles in predator-prey communities. Science, 177, 900 902.
29. May, R.M. (1974) Biological populations with nonoverlapping generations - stable points, stable cycles and chaos. Science, 186, 645 647.
30. Michielsens, C.G.J. McAllister, M.K. (2004) Bayesian hierarchical analysis of stock-recruit data: quantifying structural and parameter uncertainties. Canadian Journal of Fisheries and Aquatic Sciences, 61, 1032 1047.
31. Pelletier, F., Clutton-Brock, T., Pemberton, J., Tuljapurkar, S. Coulson, T. (2007) The evolutionary demography of ecological change: linking trait variation and population growth. Science, 315, 1571 1574.
32. Ratikainen, I.I., Gill, J.A., Gunnarsson, T.G., Sutherland, W.J. Kokko, H. (2008) When density dependence is not instantaneous: theoretical developments and management implications. Ecology Letters, 11, 184 198.
33. Rivot, E., Prévost, E., Parent, E. Baglinière, J.L. (2004) Bayesian state-space modelling framework for fitting salmon stage-structured population dynamic model to multiple time series of field data. Ecological Modelling, 179, 463 485.
34. Rosenzweig, M. (1971) The paradox of enrichment. Science, 171, 385 387.
35. Royama, T. (1992) Analytical Population Dynamics. Chapman & Hall, London.
36. Sæther, B.-E., Engen, S. Matthysen, E. (2002) Demographic characteristics and population dynamical patterns of solitary birds. Science, 295, 2070 2073.
37. Shimada, M. Tuda, M. (1996) Delayed density dependence and oscillatory population dynamics in overlapping-generation systems of seed beetle Callosobruchus chinensis: matrix population model. Oecologia, 105, 116 125.
38. Sibley, R.M., Barker, D., Denham, M.C., Hone, J. Pagel, M. (2005) On the regulation of populations of mammals, birds, fish, and insects. Science, 309, 607 610.
39. Sibley, R.M., Barker, D., Hone, J. Pagel, M. (2007) On the stability of populations of mammals, birds, fish, and insects. Ecology Letters, 10, 970 976.
40. Sinclair, A.R.E. Pech, R.P. (1996) Density dependence, stochasticity, compensation and predator regulation. Oikos, 75, 164 173.
41. Spiegelhalter, D.J., Best, N.G., Carlin, B.P. van der Linde, A. (2002) Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society. Series B, 64, 583 639.