Conservation decision-making in large state spaces

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

Ecological Modelling, 2010, vol. 221, issue 21, 2531-2536

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.

Keywords: Markov decision processes; Stochastic dynamic programming; Metapopulation; Optimal management; On-line sparse sampling algorithm (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:221:y:2010:i:21:p:2531-2536

DOI: 10.1016/j.ecolmodel.2010.02.009

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