Manoukis Nicholas C, Hall Brian, Geib Scott M
Daniel K. Inouye US Pacific Basin Agricultural Research Center (PBARC), United States Department of Agriculture, Agricultural Research Service, Hilo, Hawaii, USA.
1] Daniel K. Inouye US Pacific Basin Agricultural Research Center (PBARC), United States Department of Agriculture, Agricultural Research Service, Hilo, Hawaii, USA [2] College of Tropical Agriculture and Human Resources, University of Hawaii at Manoa, Hawaii USA.
Sci Rep. 2014 Nov 12;4:7015. doi: 10.1038/srep07015.
Attractant-based trap networks are important elements of invasive insect detection, pest control, and basic research programs. We present a landscape-level, spatially explicit model of trap networks, focused on detection, that incorporates variable attractiveness of traps and a movement model for insect dispersion. We describe the model and validate its behavior using field trap data on networks targeting two species, Ceratitis capitata and Anoplophora glabripennis. Our model will assist efforts to optimize trap networks by 1) introducing an accessible and realistic mathematical characterization of the operation of a single trap that lends itself easily to parametrization via field experiments and 2) allowing direct quantification and comparison of sensitivity between trap networks. Results from the two case studies indicate that the relationship between number of traps and their spatial distribution and capture probability under the model is qualitatively dependent on the attractiveness of the traps, a result with important practical consequences.
基于引诱剂的诱捕网络是入侵昆虫检测、害虫防治和基础研究项目的重要组成部分。我们提出了一个景观层面、空间明确的诱捕网络模型，重点在于检测，该模型纳入了诱捕器的可变吸引力以及昆虫扩散的运动模型。我们描述了该模型，并使用针对两种物种（地中海实蝇和光肩星天牛）的网络的田间诱捕数据验证了其行为。我们的模型将通过以下方式协助优化诱捕网络的工作：1）引入一个易于理解且现实的单个诱捕器操作数学表征，该表征易于通过田间实验进行参数化；2）允许直接量化和比较诱捕网络之间的灵敏度。两个案例研究的结果表明，模型下诱捕器数量与其空间分布以及捕获概率之间的关系在质量上取决于诱捕器的吸引力，这一结果具有重要的实际意义。
