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Detection of Environmental Influences on Wildlife: California Quail as an Example

In: Wildlife 2001: Populations

Author

Listed:
  • Louis W. Botsford

    (University of California, Department of Wildlife and Fisheries Biology, and Center for Population Biology)

  • John G. Brittnacher

    (University of California, Department of Wildlife and Fisheries Biology, and Center for Population Biology)

Abstract

Population modeling often requires prior evaluation of potential environmental influences on the population. A common approach is to attempt to detect covariability between time series of population and environmental data by computing correlations. Problems associated with that approach include the effects of intraseries correlation on significance of computed correlations and the fact that the available population series is often not the variable affected by the environment. We discuss methods for dealing with intraseries correlation and a method for obtaining a recruitment series from an abundance series. These are demonstrated in examples from our work on the influence of the environment on reproduction in populations of California quail. We have detected an influence of winter precipitation on recruitment in semi-arid regions of California. Ongoing work focuses on: (1) detection of density-dependence and, (2) how remotely forced spatial variability in the environment influences quail populations.

Suggested Citation

  • Louis W. Botsford & John G. Brittnacher, 1992. "Detection of Environmental Influences on Wildlife: California Quail as an Example," Springer Books, in: Dale R. McCullough & Reginald H. Barrett (ed.), Wildlife 2001: Populations, pages 158-169, Springer.
    • Handle: RePEc:spr:sprchp:978-94-011-2868-1_15
    DOI: 10.1007/978-94-011-2868-1_15
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