A computer model of insect traps in a landscape.
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.
Daniel K. Inouye US Pacific Basin Agricultural Research Center (PBARC), United States Department of Agriculture, Agricultural Research Service, Hilo, Hawaii, USA.
Nicholas C
NC
Manoukis
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.
Brian
B
Hall
Daniel K. Inouye US Pacific Basin Agricultural Research Center (PBARC), United States Department of Agriculture, Agricultural Research Service, Hilo, Hawaii, USA.
Scott M
SM
Geib
D063147:Animal Distribution; D000818:Animals; D002140:California; D002519:Ceratopogonidae / Q000502:physiology*; D001517:Coleoptera / Q000502:physiology*; D003198:Computer Simulation; D005260:Female; D007300:Insect Control / Q000295:instrumentation / Q000379:methods / Q000706:statistics & numerical data*; D008297:Male; D015233:Models, Statistical; D010675:Pheromones / Q000378:metabolism; D011157:Population Dynamics
D010675:Pheromones