EconPapers    
Economics at your fingertips  
 

Dynamic Programming and Learning Models for Management of a Nonnative Species

Mark E. Eiswerth, Gerrit van Kooten, Jeff M. Lines and Alison J. Eagle

No 37015, Working Papers from University of Victoria, Resource Economics and Policy

Abstract: Nonnative invasive species result in sizeable economic damages and expensive control costs. Because dynamic optimization models break down if controls depend in complex ways on past controls, non-uniform or scale-dependent spatial attributes, etc., decision support systems that allow learning may be preferred. We compare three models of an invasive weed in California’s grazing lands: (1) a stochastic dynamic programming model, (2) a reinforcement-based, experience-weighted attraction (EWA) learning model, and (3) an EWA model that also includes stochastic forage growth and penalties for repeated application of environmentally harmful control techniques. Results indicate that EWA learning models may be appropriate for invasive species management.

Keywords: Environmental; Economics; and; Policy (search for similar items in EconPapers)
Pages: 29
Date: 2005-07
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://ageconsearch.umn.edu/record/37015/files/WorkingPaper2005-07.pdf (application/pdf)

Related works:
Journal Article: Dynamic Programming and Learning Models for Management of a Nonnative Species (2007) Downloads
Working Paper: Dynamic Programming and Learning Models for Management of a Nonnative Species (2005) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:uvicwp:37015

DOI: 10.22004/ag.econ.37015

Access Statistics for this paper

More papers in Working Papers from University of Victoria, Resource Economics and Policy
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2021-06-20
Handle: RePEc:ags:uvicwp:37015