Optimal spatial control of biological invasions
Abstract: This study examines the spatial nature of optimal bioinvasion control. We develop a spatially explicit two-dimensional model of species spread that allows for differential control across space and time, and we solve for optimal spatial–dynamic control strategies. The qualitative nature of...
| Publicado en: | Journal of Environmental Economics & Management Vol. 63; no. 2; pp. 260 - 271 |
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| Autores principales: | , |
| Formato: | Artículo |
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Academic Press Inc.
Mar2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=71866872&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 71866872 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00950696 EEM jtl: Journal of Environmental Economics & Management issn: 00950696 maglogo: N pubinfo: dt: Mar2012 vid: 63 iid: 2 pid: 735 pub: Academic Press Inc. artinfo: ui: 71866872 10.1016/j.jeem.2011.10.003 ppf: 260 ppct: 11 formats: tig: atl: Optimal spatial control of biological invasions aug: au: Epanchin-Niell, Rebecca S. Wilen, James E. affil: Resources for the Future, 1616 P Street NW, Washington, DC 20036, USA Department of Agricultural and Resource Economics, University of California, Davis, CA 95616, USA su: Government policy Cost Space in economics Qualitative research Literature Environmental economics Biological invasions Landscapes sug: subj: Government policy Cost Space in economics Qualitative research Literature Environmental economics Biological invasions Landscapes keyword: Cellular automaton Containment Eradication Integer programming Invasive species Management Reaction–diffusion Spatial control Spatial spread Spatial–dynamic processes Cellular automaton Containment Eradication Integer programming Invasive species Management Reaction–diffusion Spatial control Spatial spread Spatial–dynamic processes ab: Abstract: This study examines the spatial nature of optimal bioinvasion control. We develop a spatially explicit two-dimensional model of species spread that allows for differential control across space and time, and we solve for optimal spatial–dynamic control strategies. The qualitative nature of optimal strategies depends in interesting ways on aspects of landscape and invasion geometry. For example, reducing the extent of exposed invasion edge, through spread, removal, or strategically employing landscape features, can be optimal because it reduces long-term containment costs. Optimal invasion control is spatially and temporally “forward-looking” in the sense that strategies should be targeted to slow or prevent the spread of an invasion in the direction of greatest potential long-term damages. These spatially explicit characterizations of optimal policies contribute insights and intuition to the largely nonspatial literature on controlling invasions and to understanding control of spatial–dynamic processes in general. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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