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Conservation decision-making in large state spaces

Author

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  • Nicol, Samuel C.
  • Chadès, Iadine
  • Linke, Simon
  • Possingham, Hugh P.

Abstract

When looking for the best course of management decisions to efficiently conserve metapopulation systems, a classic approach in the ecology literature is to model the optimisation problem as a Markov decision process and find an optimal control policy using exact stochastic dynamic programming techniques. Stochastic dynamic programming is an iterative procedure that seeks to optimise a value function at each timestep by evaluating the benefits of each of the actions in each state of the system defined in the Markov decision process.

Suggested Citation

  • Nicol, Samuel C. & Chadès, Iadine & Linke, Simon & Possingham, Hugh P., 2010. "Conservation decision-making in large state spaces," Ecological Modelling, Elsevier, vol. 221(21), pages 2531-2536.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:21:p:2531-2536
    DOI: 10.1016/j.ecolmodel.2010.02.009
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    Cited by:

    1. Vuilleumier, Séverine & Possingham, Hugh P., 2012. "Interacting populations in heterogeneous environments," Ecological Modelling, Elsevier, vol. 228(C), pages 96-105.

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