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Ecosystem based multi-species management using Empirical Dynamic Programming

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  • Brias, Antoine
  • Munch, Stephan B.

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.

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  • Brias, Antoine & Munch, Stephan B., 2021. "Ecosystem based multi-species management using Empirical Dynamic Programming," Ecological Modelling, Elsevier, vol. 441(C).
    • Handle: RePEc:eee:ecomod:v:441:y:2021:i:c:s0304380020304804
    DOI: 10.1016/j.ecolmodel.2020.109423
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    Cited by:

    1. Johnson, Bethany & Munch, Stephan B., 2022. "An empirical dynamic modeling framework for missing or irregular samples," Ecological Modelling, Elsevier, vol. 468(C).

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