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Dynamic Programming and Learning Models for Management of a Nonnative Species

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  • Mark E. Eiswerth
  • G. Cornelis Van Kooten

Abstract

Nonnative invasive species result in sizeable economic damages and control costs. Because dynamic optimization models break down if controls depend in complex ways on past controls, nonuniform or scale‐dependent spatial attributes, etc., decision‐support systems that allow learning may be preferred. We compare two models of an invasive weed in California's grazing lands: (i) a stochastic dynamic programming model and (ii) a reinforcement‐based, experience‐weighted attraction (EWA) learning model. We extend the EWA approach by including stochastic forage growth and penalties for repeated application of environmentally harmful controls. Results indicate that EWA learning models offer some promise for managing invasive species. Les espèces non indigènes envahissantes entraînent des dommages économiques et des coûts de lutte considérables. Compte tenu que les modèles d'optimisation dynamique échouent lorsque les moyens de lutte dépendent, de façon complexe, de moyens de lutte antérieurs, d'attributs spatiaux influencés par l'échelle ou non uniformes, etc., l'utilisation de systèmes d'aide à la décision permettant l'apprentissage pourrait être préférable. Nous avons comparé deux modèles dans le cas d'une plante adventice envahissant les pâturages de la Californie: 1. un modèle de programmation dynamique stochastique; 2. un modèle d'apprentissage experience‐weighted attraction (EWA), fondé sur le renforcement. Nous avons élargi le modèle EWA en y incluant la croissance stochastique des fourrages et des pénalités imposées pour l'utilisation répétée de moyens de lutte dommageables pour l'environnement. Selon les résultats obtenus, les modèles d'apprentissage EWA semblent prometteurs pour la gestion des espèces envahissantes.

Suggested Citation

  • Mark E. Eiswerth & G. Cornelis Van Kooten, 2007. "Dynamic Programming and Learning Models for Management of a Nonnative Species," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 55(4), pages 485-498, December.
  • Handle: RePEc:bla:canjag:v:55:y:2007:i:4:p:485-498
    DOI: 10.1111/j.1744-7976.2007.00104.x
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    References listed on IDEAS

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    1. Mark E. Eiswerth & G. Cornelis van Kooten, 2002. "Uncertainty, Economics, and the Spread of an Invasive Plant Species," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(5), pages 1317-1322.
    2. Oscar R. Burt & John R. Allison, 1963. "Farm Management Decisions With Dynamic Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 45(1), pages 121-136.
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    Cited by:

    1. Eiswerth, Mark E. & Yen, Steven T. & van Kooten, G. Cornelis, 2011. "Factors determining awareness and knowledge of aquatic invasive species," Ecological Economics, Elsevier, vol. 70(9), pages 1672-1679, July.
    2. Kimberly Burnett & Sittidaj Pongkijvorasin & James Roumasset, 2012. "Species Invasion as Catastrophe: The Case of the Brown Tree Snake," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(2), pages 241-254, February.
    3. Carrasco, L.R. & Mumford, J.D. & MacLeod, A. & Knight, J.D. & Baker, R.H.A., 2010. "Comprehensive bioeconomic modelling of multiple harmful non-indigenous species," Ecological Economics, Elsevier, vol. 69(6), pages 1303-1312, April.
    4. James Nolan & Dawn Parker & G. Cornelis Van Kooten & Thomas Berger, 2009. "An Overview of Computational Modeling in Agricultural and Resource Economics," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 417-429, December.
    5. Morteza Chalak & David J. Pannell, 2015. "Optimal Integrated Strategies to Control an Invasive Weed," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(3), pages 381-407, September.
    6. Haider, Zulqarnain & Charkhgard, Hadi & Kwon, Changhyun, 2018. "A robust optimization approach for solving problems in conservation planning," Ecological Modelling, Elsevier, vol. 368(C), pages 288-297.

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    More about this item

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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