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The economics of a stage-structured wildlife population model

Author

Listed:
  • Jon Olaf Olaussen

    (Department of Economics, Norwegian University of Science and Technology)

  • Anders Skonhoft

    (Department of Economics, Norwegian University of Science and Technology)

Abstract

A four-stage model (calves, yearlings, adult female and adult male) of the Scandinavian moose (Alces alces) is formulated. Fecundity is density dependent while mortality is density independent. The paper aims to demonstrate the economic content of such a wildlife model and how this content may change under shifting economic and ecological conditions. Two different harvesting regimes are explored: hunting for meat, and trophy hunting. It is shown how different ways to compose the harvest influences the profitability while, at the same time, the population levels of the different stages may only change modestly. It is also shown why different market situations require different compositions of the harvest, knowledge that is disregarded in the traditional bioeconomic modelling approach.

Suggested Citation

  • Jon Olaf Olaussen & Anders Skonhoft, 2005. "The economics of a stage-structured wildlife population model," Working Paper Series 6405, Department of Economics, Norwegian University of Science and Technology, revised 31 May 2007.
    • Handle: RePEc:nst:samfok:6405
    as

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    File URL: http://www.svt.ntnu.no/iso/WP/2005/17Stagemodel0507.pdf
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    References listed on IDEAS

    as
    1. Joseph Cooper, 1993. "A bioeconomic model for estimating the optimal level of deer and tag sales," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(6), pages 563-579, December.
    2. Jon Conrad & Trond Bjørndal, 1991. "A Bioeconomic Model of the Harp Seal in the Northwest Atlantic," Land Economics, University of Wisconsin Press, vol. 67(2), pages 158-171.
    Full references (including those not matched with items on IDEAS)

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    Keywords

    wildlife; harvesting; trophy hunting;
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