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Spatial and non-spatial analyses of insect counts in bulk-stored barley

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dc.contributor.author Athanassiou, CG en
dc.contributor.author Nansen, C en
dc.contributor.author Vayias, BJ en
dc.date.accessioned 2014-06-06T06:50:43Z
dc.date.available 2014-06-06T06:50:43Z
dc.date.issued 2010 en
dc.identifier.issn 00074853 en
dc.identifier.uri http://dx.doi.org/10.1017/S000748530999037X en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/5130
dc.subject grain trier en
dc.subject Lloyd's aggregation index en
dc.subject probe traps en
dc.subject SADIE en
dc.subject.other barley en
dc.subject.other data set en
dc.subject.other density dependence en
dc.subject.other diversity index en
dc.subject.other food storage en
dc.subject.other insect en
dc.subject.other moisture content en
dc.subject.other pest species en
dc.subject.other regression analysis en
dc.subject.other spatial analysis en
dc.subject.other taxonomy en
dc.subject.other trapping en
dc.subject.other animal en
dc.subject.other article en
dc.subject.other barley en
dc.subject.other food contamination en
dc.subject.other insect en
dc.subject.other insect control en
dc.subject.other instrumentation en
dc.subject.other zoology en
dc.subject.other Animals en
dc.subject.other Entomology en
dc.subject.other Food Contamination en
dc.subject.other Hordeum en
dc.subject.other Insect Control en
dc.subject.other Insects en
dc.subject.other Hexapoda en
dc.subject.other Hordeum en
dc.title Spatial and non-spatial analyses of insect counts in bulk-stored barley en
heal.type journalArticle en
heal.identifier.primary 10.1017/S000748530999037X en
heal.publicationDate 2010 en
heal.abstract Stored grain insect species in bulk-stored barley were sampled during 15 consecutive weeks in two ways: direct sampling based on grain trier samples and indirect sampling based on probe trap captures. A total number of 22 insect taxa were found; this study focused on the six most abundant species and their natural enemies. Four aspects were addressed: (i) differences in insect counts when based on either probe trap captures or grain trier samples, (ii) usefulness of grain temperature and moisture content as explanatory variables for insect densities, (iii) density-dependent relationships between natural enemies and their hosts, and (iv) spatial and non-spatial analyses of insect counts. Both total captures and frequencies of insect taxa were consistently higher in captures with probe traps than insect numbers obtained from grain samples. Regression analysis with abiotic conditions and probe trap captures as explanatory variables provided good fits to insect counts in grain samples for four of the six insect species (R 2-values>0.40). Using multi-regression analyses, we showed that: (i) the occurrence of natural enemies was only weakly associated with the abundance of hosts; (ii) grain moisture content and temperature appeared to be at least as important variables as host availability; and (iii) the predictive strengths of regression models were similar when based on either data from grain samples or probe traps. Spatial analyses (SADIE) of both sampling data suggested that all data sets followed a spatially random distribution; re-arrangement of the data provided insight into important aspects of SADIE analyses of small data sets. Non-spatial analysis (Lloyd's aggregation index) showed significant differences among species and that the level of non-spatial aggregation was quite sensitive to sampling method used. Copyright © 2009 Cambridge University Press. en
heal.journalName Bulletin of Entomological Research en
dc.identifier.issue 4 en
dc.identifier.volume 100 en
dc.identifier.doi 10.1017/S000748530999037X en
dc.identifier.spage 395 en
dc.identifier.epage 403 en


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