文章基本信息

标题：Weed Search and Control: Theory and Application
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作者：Cacho, Oscar J. ; Spring, Daniel ; Pheloung, Paul 等
期刊名称：Journal of Agribusiness
印刷版ISSN：0738-8950
出版年度：2004
期号：suppl
出版社：Journal of Agribusiness
摘要：The detectability of invasive organisms influences the costs and benefits of alternative control strategies, and the feasibility of eradicating an infestation. Search theory offers a mathematically rigorous framework for defining and measuring detectability, taking account of searcher ability, biological factors and the search environment. To demonstrate the application of search theory to invasive species control, invasive species detectability is incorporated into a population simulation model. The model is applied to a base set of parameter values that represent reasonable values for a hypothetical weed. The analysis shows the effects of detectability and search time on the duration of an eradication program. Furthermore, for a given level of detectability and search time, the analysis shows that the variables with the greatest influence on the duration of the eradication effort are search speed, kill efficiency and seed longevity. A series of Monte Carlo simulations are performed on a set of five scenarios, involving different combinations of plant longevity, seed longevity and plant fecundity. Results of these simulations are presented as probability distributions and allow us to calculate how the probability of eradication will be affected by search strategy.
关键词：search and control;search theory;weed control;stage matrix;impedance factors;population dynamics;stochastic model