IDEAS home Printed from https://ideas.repec.org/a/bla/canjag/v55y2007i4p485-498.html
   My bibliography  Save this article

Dynamic Programming and Learning Models for Management of a Nonnative Species

Author

Listed:
  • 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." Copyright 2007 Canadian Agricultural Economics Society.

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
    as

    Download full text from publisher

    File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1744-7976.2007.00104.x
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:canjag:v:55:y:2007:i:4:p:485-498. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/caefmea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.