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

Author

Listed:
  • Herwig Leirs

    (Danish Pest Infestation Laboratory)

  • Nils Chr. Stenseth

    (University of Oslo)

  • James D. Nichols

    (National Biological Service, Patuxent Wildlife Research Center)

  • James E. Hines

    (National Biological Service, Patuxent Wildlife Research Center)

  • Ron Verhagen

    (University of Antwerp (RUCA))

  • Walter Verheyen

    (University of Antwerp (RUCA))

Abstract

Ecology has long been troubled by the controversy over how populations are regulated1,2. Some ecologists focus on the role of environmental effects, whereas others argue that density-dependent feedback mechanisms are central3,4,5,6. The relative importance of both processes is still hotly debated, but clear examples of both processes acting in the same population are rare7,8. Key-factor analysis (regression of population changes on possible causal factors) and time-series analysis are often used to investigate the presence of density dependence, but such approaches may be biased and provide no information on actual demographic rates9,10. Here we report on both density-dependent and density-independent effects in a murid rodent pest species, the multimammate rat Mastomys natalensis (Smith, 1834), using statistical capture–recapture models. Both effects occur simultaneously, but we also demonstrate that they do not affect all demographic rates in the same way. We have incorporated the obtained estimates of demographic rates in a population dynamics model and show that the observed dynamics are affected by stabilizing nonlinear density-dependent components coupled with strong deterministic and stochastic seasonal components.

Suggested Citation

  • Herwig Leirs & Nils Chr. Stenseth & James D. Nichols & James E. Hines & Ron Verhagen & Walter Verheyen, 1997. "Stochastic seasonality and nonlinear density-dependent factors regulate population size in an African rodent," Nature, Nature, vol. 389(6647), pages 176-180, September.
  • Handle: RePEc:nat:nature:v:389:y:1997:i:6647:d:10.1038_38271
    DOI: 10.1038/38271
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    Cited by:

    1. James Nichols & James Hines, 2002. "Approaches for the direct estimation of u , and demographic contributions to u , using capture-recapture data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(1-4), pages 539-568.
    2. Ferreira, João Miguel, 2023. "Optimal control policies for a non-eruptive population of rodents—The relevance of migration," Ecological Modelling, Elsevier, vol. 484(C).
    3. Jeffrey A Hostetler & Eva Kneip & Dirk H Van Vuren & Madan K Oli, 2012. "Stochastic Population Dynamics of a Montane Ground-Dwelling Squirrel," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-10, March.
    4. Zhang, Yu J. & Harte, John, 2015. "Population dynamics and competitive outcome derive from resource allocation statistics: The governing influence of the distinguishability of individuals," Theoretical Population Biology, Elsevier, vol. 105(C), pages 53-63.

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