Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/542446
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dc.contributor.authorSTARK, J. D.eng
dc.contributor.authorSUGAYAMA, R. L.eng
dc.contributor.authorKOVALESKI, A.eng
dc.date.accessioned2019-11-01T18:06:19Z-
dc.date.available2019-11-01T18:06:19Z-
dc.date.created2008-04-03
dc.date.issued2007
dc.identifier.citationBioControl, Dordrecht, v. 52, n. 3, p. 365-374, 2007.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/542446-
dc.descriptionRecent studies have shown that simplistic measures of toxicity such as the LC50 do not provide enough information about the actual effects that may occour in pesticide-exposed populations over longer time periods than a few days. In this paper we discuss the use of demography and population modeling for estimation of pesticid ecffects on pest and beneficial species and argue that these new approaches are essential to further our understanding of the potential impacts that pesticides might have on both pestand beneficial species such as biological control agents. Keywords:life table response experiments, demography, models, toxicology, LC50, pesticideseng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectModelagemeng
dc.subjectAgente de biocontroleeng
dc.titleWhy demographic add modeling approaches should be adopted for estimating the effects of pesticides on biocontrol agents.eng
dc.typeArtigo de periódicoeng
dc.date.updated2019-11-14T11:11:11Z
dc.subject.thesagroAgriculturaeng
dc.subject.thesagroAgrotóxicoeng
dc.subject.thesagroDemografiaeng
dc.subject.thesagroEstatísticaeng
dc.subject.thesagroPesticidaeng
dc.subject.thesagroToxicologiaeng
dc.format.extent2365-374eng
riaa.ainfo.id542446eng
riaa.ainfo.lastupdate2019-11-14 -02:00:00
dc.contributor.institutionJohn D. Stark, Washington State University; Regina Lúcia Sugayama, AgroPEC consultoria; ADALECIO KOVALESKI, CNPUV.eng
Appears in Collections:Artigo em periódico indexado (CNPUV)

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