Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/8166
Title: Deriving efficient frontiers for effort allocation in the management of invasive species
Contributor(s): Cacho, Oscar Jose  (author)orcid ; Hester, Susan  (author)
Publication Date: 2011
Open Access: Yes
DOI: 10.1111/j.1467-8489.2010.00520.xOpen Access Link
Handle Link: https://hdl.handle.net/1959.11/8166
Abstract: Invasive species cause significant losses through their effect on agriculture, human health and the environment. Their importance has increased with time owing to globalisation, as the spread of invasive species is facilitated by the increased movement of people, cargo and genetic material around the world. There is a vast literature on the economics of invasive species and their management. Here, we contribute to this literature by applying a spatio-temporal model to the allocation of surveillance resources. We focus on three questions regarding resource allocation to control a newly discovered invasion: the budget, which determines the amount of search effort available; the duration of the control program; and the allocation of surveillance and control in time and space. We also explore the complementary role of passive surveillance by members of the public. We derive efficient frontiers for effort allocation that represent the trade-off between cost and probability of eradication after inefficient strategies have been eliminated. We use the results to illustrate how to evaluate whether introduction of passive surveillance is desirable based on cost and eradication probability. We conclude by discussing the implications of our findings in the design of control programs.
Publication Type: Journal Article
Source of Publication: The Australian Journal of Agricultural and Resource Economics, 55(1), p. 72-89
Publisher: Wiley-Blackwell Publishing Asia
Place of Publication: Australia
ISSN: 1364-985X
1467-8489
Field of Research (FOR): 070104 Agricultural Spatial Analysis and Modelling
050103 Invasive Species Ecology
140205 Environment and Resource Economics
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
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