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A Rule of Thumb for Controlling Invasive Weeds: An Application to Hawkweed in Australia AgEcon
Kompas, Tom; Chu, Long.
We use a bang-bang optimal control model to derive a rule of thumb for an optimal management of invasive weeds, in terms of the marginal benefits and costs of various control actions. Instead of determining the size of infestation under an optimal surveillance measure, the rule specifies the types of land where an invasive weed should be first prevented from establishment, and under what conditions control should be initiated. The types of land are modeled via the heterogeneous vulnerability of land to the weed and likely infestation. This easy-to-use rule is applied to determine how hawkweed should be controlled in Australia, across three potential control strategies: containment, eradication and no action. We investigate this rule-of-thumb in both...
Tipo: Journal Article Palavras-chave: Stochastic optimal control; Biosecurity; Invasive weed management; Hawkweed; Crop Production/Industries.
Ano: 2010 URL: http://purl.umn.edu/95046
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An Optimal Surveillance Measure Against Foot-and-Mouth Disease in the United States AgEcon
van Ha, Pham; Che, Tuong Nhu; Kompas, Tom.
Surveillance programs on farms and in the local environment provide an essential protection against the importation and spread of exotic diseases. Combined with border quarantine measures, these programs protect both consumers and producers from major health concerns and disease incursions that can potentially destroy local agricultural production and supporting industries, as well as generate substantial losses in trade and tourism. However, surveillance programs also impose costs in the form of expenditures on the surveillance program itself, along with the costs of disease management and eradication should an incursion occur. Taking border quarantine expenditures as given, this paper develops a stochastic optimal control model (with a jump-diffusion...
Tipo: Conference Paper or Presentation Palavras-chave: Surveillance measures; Border quarantine; Disease incursion and spread; Foot- and-Mouth disease; Stochastic optimal control; Livestock Production/Industries; Q1; Q17; Q18.
Ano: 2007 URL: http://purl.umn.edu/10354
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