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Optimal Rebuilding of a Metapopulation

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  • James N. Sanchirico
  • James E. Wilen
  • Conrad Coleman

Abstract

A contentious issue in recent fisheries management debates has been how to rebuild overfished marine fish stocks. We investigate the economic and ecological nature of rebuilding plans in a metapopulation system. We find "most rapid approach paths" for system-wide recovery that differ from prototypical paths that might be chosen when populations are assumed independent. For example, moratoria in some patches may be extended in order to speed the recovery of other patches in the system. We also investigate the costs of second-best policies that depend on the degree of spatial heterogeneity, the nature of the linkages, and the dispersal rates. Copyright 2010, Oxford University Press.

Suggested Citation

  • James N. Sanchirico & James E. Wilen & Conrad Coleman, 2010. "Optimal Rebuilding of a Metapopulation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 1087-1102.
    • Handle: RePEc:oup:ajagec:v:92:y:2010:i:4:p:1087-1102
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    File URL: http://hdl.handle.net/10.1093/ajae/aaq045
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    Cited by:

    1. David Aadland & Charles Sims & David Finnoff, 2015. "Spatial Dynamics of Optimal Management in Bioeconomic Systems," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 545-577, April.
    2. By Michael Finus & Raoul Schneider, 2015. "Scope and compatibility of measures in international fisheries agreements," Oxford Economic Papers, Oxford University Press, vol. 67(4), pages 865-888.
    3. Yamazaki, Satoshi & Jennings, Sarah & Quentin Grafton, R. & Kompas, Tom, 2015. "Are marine reserves and harvest control rules substitutes or complements for rebuilding fisheries?," Resource and Energy Economics, Elsevier, vol. 40(C), pages 1-18.
    4. Upmann, Thorsten & Uecker, Hannes & Hammann, Liv & Blasius, Bernd, 2021. "Optimal stock–enhancement of a spatially distributed renewable resource," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).

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