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Sci Rep


Title:A computer model of insect traps in a landscape
Author(s):Manoukis NC; Hall B; Geib SM;
Address:"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"
Journal Title:Sci Rep
Year:2014
Volume:20141112
Issue:
Page Number:7015 -
DOI: 10.1038/srep07015
ISSN/ISBN:2045-2322 (Electronic) 2045-2322 (Linking)
Abstract:"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"
Keywords:"Animal Distribution Animals California Ceratopogonidae/*physiology Coleoptera/*physiology Computer Simulation Female Insect Control/instrumentation/methods/*statistics & numerical data Male *Models, Statistical Pheromones/metabolism Population Dynamics;"
Notes:"MedlineManoukis, Nicholas C Hall, Brian Geib, Scott M eng Research Support, U.S. Gov't, Non-P.H.S. England 2014/11/13 Sci Rep. 2014 Nov 12; 4:7015. doi: 10.1038/srep07015"

 
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