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	Provedor de dados AgEcon (2) Autor Chalak-Haghighi, Morteza (2) Pannell, David J. (1) Ruijs, Arjan (1) van Ierland, Ekko C. (1) Palavra-chave Optimisation (2) Stochastic (2) Biological control (1) Californian thistle (1) Economics (1) Economics. (1) Environment (1) Environmental Economics and Policy (1) Management (1) Weed (1) Mais... Tipo do documento Conference Paper or Presentation (2) Ano 2010 (1) 2009 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Biological control of invasive plant species: stochastic economic analysis AgEcon Chalak-Haghighi, Morteza; Ruijs, Arjan; van Ierland, Ekko C.. We analysed to what extent the stochastic effects of two biological control agents (i.e. weevils and mycoherbicides) affect the optimal choice of Californian thistle control. A stochastic, dynamic optimisation model was set up to analyse strategies that maximise the expected net present values. We analysed the cost-effective strategies to control the thistle for deterministic and stochastic cases. Results show that the stochasticity of the efficacy of weevils does not affect the optimal strategy. Compared to the deterministic case, however, mycoherbicides will be introduced at a higher level of weed density if we take the stochastic effect of mycoherbicides into account. Tipo: Conference Paper or Presentation Palavras-chave: Stochastic; Optimisation; Biological control; Californian thistle; Economics.. Ano: 2009 URL: http://purl.umn.edu/48153 Economics of controlling a spreading environmental weed AgEcon Chalak-Haghighi, Morteza; Pannell, David J.. Weeds can cause significant problems to natural ecosystems. Although there have been numerous studies on the economics of weed control, relatively few of these studies have focused on natural ecosystems. This paper addresses this gap in the literature by assessing the cost-effectiveness of a comprehensive range of control strategies for blackberry (Rubus anglocandicans) in natural environments in Australia. We developed a stochastic dynamic simulation model and a deterministic dynamic optimisation model. The stochastic model calculates the expected net present value (NPV) of a range of control strategies, including any combination of treatment options. The optimisation model identifies the treatment combination that maximises NPV. Both models represent the... Tipo: Conference Paper or Presentation Palavras-chave: Environment; Economics; Weed; Stochastic; Optimisation; Management; Environmental Economics and Policy. Ano: 2010 URL: http://purl.umn.edu/58886 Registros recuperados: 2 Primeira ... 1 ... Última

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