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Evaluation of time-average dispersion models for estimating pheromone concentration in a deciduous forest

dc.contributor.authorCardé, R. T.en_US
dc.contributor.authorMason, C. J.en_US
dc.contributor.authorElkinton, J. S.en_US
dc.date.accessioned2006-09-11T15:22:45Z
dc.date.available2006-09-11T15:22:45Z
dc.date.issued1984-07en_US
dc.identifier.citationElkinton, J. S.; Cardé, R. T.; Mason, C. J.; (1984). "Evaluation of time-average dispersion models for estimating pheromone concentration in a deciduous forest." Journal of Chemical Ecology 10(7): 1081-1108. <http://hdl.handle.net/2027.42/44867>en_US
dc.identifier.issn0098-0331en_US
dc.identifier.issn1573-1561en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/44867
dc.description.abstractThe Sutton and more recent Gaussian plume models of atmospheric dispersion were used to estimate downwind concentrations of pheromone in a deciduous forest. Wind measurements from two bivane anemometers were recorded every 12 sec and the pheromone was emitted from a point source 1.6 m above ground level at known rates. The wingfanning response of individually caged male gypsy moths ( Lymantria dispar ) at 15 sites situated 20 to 80 m downwind was used to monitor when pheromone levels were above threshold over a 15-min interval. Predicted concentrations from these Gaussian-type models at locations where wing fanning occurred were often several orders of magnitude below the known behavioral thresholds determined from wind tunnel tests. Probit analyses of dose-response relationships with these models showed no relationship between predicted dose and actual response. The disparity between the predictions of concentration from these models and the actual response patterns of the male gypsy moth in the field was not unexpected. These time-average models predict concentrations for a fixed position over 3-min or longer intervals, based upon the dispersion coefficients. Thus the models estimate pheromone concentrations for time intervals appreciably longer than required for behavioral response.en_US
dc.format.extent1211179 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation ; Springer Science+Business Mediaen_US
dc.subject.otherLymantria Disparen_US
dc.subject.otherLymantriidaeen_US
dc.subject.otherGaussian Plume Modelen_US
dc.subject.otherBiological Microscopyen_US
dc.subject.otherLife Sciencesen_US
dc.subject.otherPhysical Chemistryen_US
dc.subject.otherAgricultureen_US
dc.subject.otherEcologyen_US
dc.subject.otherPheromone Dispersionen_US
dc.subject.otherActive Spaceen_US
dc.subject.otherSutton Modelen_US
dc.subject.otherGypsy Mothen_US
dc.subject.otherLepidopteraen_US
dc.titleEvaluation of time-average dispersion models for estimating pheromone concentration in a deciduous foresten_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Oceanic and Atmospheric Science, University of Michigan, 48109, Ann Arbor, Michiganen_US
dc.contributor.affiliationotherDepartment of Entomology and Pesticide Research Center, Michigan State University, 48824, East Lansing, Michigan; Department of Entomology, University of Massachusetts, 01003, Amherst, Massachusettsen_US
dc.contributor.affiliationotherDepartment of Entomology and Pesticide Research Center, Michigan State University, 48824, East Lansing, Michigan; Department of Entomology, University of Massachusetts, 01003, Amherst, Massachusettsen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid24318851en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/44867/1/10886_2004_Article_BF00987515.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00987515en_US
dc.identifier.sourceJournal of Chemical Ecologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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