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Invasive Weeds, Wildfire, and Rancher Decision Making in the Great Basin

Author

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  • Kobayashi, Mimako
  • Harris, Thomas R.
  • Rollins, Kimberly S.

Abstract

In this article, a numerical stochastic dynamic programming model (SDP) is developed to characterize the decision problem of a rancher operating on rangelands in northern Nevada that are affected by invasive annual grasses and wildfire. The model incorporates decisions about herd size management of a cow-calf operation and fuels treatment to reduce the size of rangeland wildfires. Currently, high transactions costs to obtain permits to implement land treatments on federally-owned rangelands appear to limit rancher involvement. The results of the model suggest that ranch income motives alone are likely insufficient for private ranchers to adopt preventative land treatments. The current treatment cost ($20 per acre at the minimum) appears to be prohibitively expensive relative to the benefits derived from the treatments under the low-productivity, semi-arid rangeland conditions.

Suggested Citation

  • Kobayashi, Mimako & Harris, Thomas R. & Rollins, Kimberly S., 2009. "Invasive Weeds, Wildfire, and Rancher Decision Making in the Great Basin," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49365, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea09:49365
    DOI: 10.22004/ag.econ.49365
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    File URL: https://ageconsearch.umn.edu/record/49365/files/AAEA09_613121.pdf
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    References listed on IDEAS

    as
    1. David Finnoff & Aaron Strong & John Tschirhart, 2008. "A Bioeconomic Model of Cattle Stocking on Rangeland Threatened by Invasive Plants and Nitrogen Deposition," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 1074-1090.
    2. Dayuan Hu & Richard Ready & Angelos Pagoulatos, 1997. "Dynamic Optimal Management of Wind-Erosive Rangelands," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 327-340.
    3. Jarvis, Lovell S, 1974. "Cattle as Capital Goods and Ranchers as Portfolio Managers: An Application to the Argentine Cattle Sector," Journal of Political Economy, University of Chicago Press, vol. 82(3), pages 489-520, May/June.
    4. Mark E. Eiswerth & G. Cornelis van Kooten, 2002. "Uncertainty, Economics, and the Spread of an Invasive Plant Species," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(5), pages 1317-1322.
    5. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, December.
    6. Ray Huffaker & Kevin Cooper, 1995. "Plant Succession as a Natural Range Restoration Factor in Private Livestock Enterprises," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 901-913.
    7. Emilio A. Laca, 2007. "Stochastic Rangeland Use under Capital Constraints," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(3), pages 805-817.
    8. Janssen, Marco A. & Anderies, John M. & Walker, Brian H., 2004. "Robust strategies for managing rangelands with multiple stable attractors," Journal of Environmental Economics and Management, Elsevier, vol. 47(1), pages 140-162, January.
    9. Stephen F. Hamilton & Terry L. Kastens, 2000. "Does Market Timing Contribute to the Cattle Cycle?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(1), pages 82-96.
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