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Safety in Numbers: Cost-effective Endangered Species Management for Viable Populations

Author

Listed:
  • Pierce Donovan
  • Lucas S. Bair
  • Charles B. Yackulic
  • Michael R. Springborn

Abstract

We develop a bioeconomic model to identify the cost-effective control of an invasive species (rainbow trout) to achieve a population viability goal for an endangered species (humpback chub) in the Grand Canyon of the U.S. Southwest. Solving the population viability problem is difficult since avoiding a threshold with a given confidence imposes a probabilistic restriction on joint outcomes (survival) over many periods. We develop a novel dynamic programming solution approach that is fast and forgoes the simulation method requirement of imposing structure on the policy function. We also investigate an adaptive management model that incorporates learning about uncertain biological dynamics.

Suggested Citation

  • Pierce Donovan & Lucas S. Bair & Charles B. Yackulic & Michael R. Springborn, 2019. "Safety in Numbers: Cost-effective Endangered Species Management for Viable Populations," Land Economics, University of Wisconsin Press, vol. 95(3), pages 435-453.
    • Handle: RePEc:uwp:landec:v:95:y:2019:i:3:p:435-453
    Note: DOI: 10.3368/le.95.3.435
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    Citations

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    Cited by:

    1. Girol Karacaoglu & Jacek B. Krawczyk, 2021. "Public policy, systemic resilience and viability theory," Metroeconomica, Wiley Blackwell, vol. 72(4), pages 826-848, November.
    2. Donovan, Pierce & Springborn, Michael, 2022. "Balancing conservation and commerce: A shadow value viability approach for governing bycatch," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).

    More about this item

    JEL classification:

    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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