Ecosystem based multi-species management using Empirical Dynamic Programming

Antoine Brias and Stephan B. Munch

Ecological Modelling, 2021, vol. 441, issue C

Abstract: Control theory and stochastic dynamic programming have long been used to develop optimal single-species management policies. However, most species interact with others through competition and predation as parts of complex ecosystems. As a consequence, it is unclear how far from optimal the single species policies currently in use actually are. Moreover, there are as yet no scalable algorithms for optimal ecosystem management.

Keywords: Multi-species management; Multi-objectives management; Non-linear methods; Approximate dynamic programming; Gaussian process regression; Temporal difference learning (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:441:y:2021:i:c:s0304380020304804

DOI: 10.1016/j.ecolmodel.2020.109423

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