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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." Copyright 2007 Canadian Agricultural Economics Society.

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Bibliographic Info

Article provided by Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie in its journal Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie.

Volume (Year): 55 (2007)
Issue (Month): 4 (December)
Pages: 485-498

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Handle: RePEc:bla:canjag:v:55:y:2007:i:4:p:485-498

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Cited by:
  1. Kimberly Burnett & Sittidaj Pongkijvorasin & James Roumasset, 2012. "Species Invasion as Catastrophe: The Case of the Brown Tree Snake," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 51(2), pages 241-254, February.
  2. 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.
  3. 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.

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