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Using traffic data to estimate wildlife populations

Author

Listed:
  • Ing-Marie Gren

    (Swedish University of Agricultural Sciences)

  • Tobias Häggmark-Svensson

    (Swedish University of Agricultural Sciences)

  • Hans Andersson

    (Swedish University of Agricultural Sciences)

  • Gunnar Jansson

    (Swedish University of Agricultural Sciences)

  • Annika Jägerbrand

    (Swedish National Road and Transport Research Institute)

Abstract

Wildlife populations are threatened worldwide by, among others, habitat fragmentation and hunting pressure. An important impediment for the large scale, national and regional, management of the populations is the difficulty to quantify population dynamics. The purpose of this study is to present a tool for such estimations which is based on available data in several countries; traffic load and traffic accidents with wildlife. An econometric model is developed, which accounts for landscape characteristics. It is applied to wild boar in Sweden, for which data on traffic load and accidents for different counties and years are available. Landscape characteristics are introduced with direct or indirect effects on population growth. The indirect landscape model gives the best statistical performance, and the results show relatively small differences in calculated intrinsic growth rate among counties but considerable differences in predicted population developments.

Suggested Citation

  • Ing-Marie Gren & Tobias Häggmark-Svensson & Hans Andersson & Gunnar Jansson & Annika Jägerbrand, 2016. "Using traffic data to estimate wildlife populations," Journal of Bioeconomics, Springer, vol. 18(1), pages 17-31, April.
    • Handle: RePEc:kap:jbioec:v:18:y:2016:i:1:d:10.1007_s10818-015-9209-0
    DOI: 10.1007/s10818-015-9209-0
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    References listed on IDEAS

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    1. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    2. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    3. Muhly, Tyler B. & Musiani, Marco, 2009. "Livestock depredation by wolves and the ranching economy in the Northwestern U.S," Ecological Economics, Elsevier, vol. 68(8-9), pages 2439-2450, June.
    4. Häggmark Svensson, Tobias & Gren, Ing-Marie & Andersson, Hans & Jansson, Gunnar & Jägerbrand, Annika, 2014. "Costs of traffic accidents with wild boar populations in Sweden," Working Paper Series 2014:5, Swedish University of Agricultural Sciences, Department Economics.
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