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dc.contributor.authorBasset, Y
dc.contributor.authorMavoungou, JF
dc.contributor.authorMikissa, JB
dc.contributor.authorMissa, O
dc.contributor.authorMiller, SE
dc.contributor.authorKitching, RL
dc.contributor.authorAlonso, A
dc.date.accessioned2017-05-03T11:12:59Z
dc.date.available2017-05-03T11:12:59Z
dc.date.issued2004
dc.date.modified2009-09-15T07:34:52Z
dc.identifier.issn0960-3115
dc.identifier.doi10.1023/B:BIOC.0000011722.44714.a4
dc.identifier.urihttp://hdl.handle.net/10072/5190
dc.description.abstractArthropods were monitored by local parataxonomists at 12 sites of increasing anthropogenic disturbance (old and young secondary forests, savanna and cultivated gardens) at Gamba, Gabon. We report on the discriminatory power of different data sets with regard to the classification of sites along the disturbance gradient, using preliminary data accounting for 13 surveys and 142425 arthropods collected by Malaise, pitfall and yellow-pan traps. We compared the performance of different data sets. These were based upon ordinal, familial and guild composition, or upon 22 target taxa sorted to morphospecies and either considered in toto or grouped within different functional guilds. Finally we evaluated lsquopredictor setsrsquo made up of a few families or other target taxa, selected on the basis of their indicator value index. Although the discriminatory power of data sets based on ordinal categories and guilds was low, that of target taxa belonging to chewers, parasitoids and predators was much higher. The data sets that best discriminated among sites of differing degrees of disturbance were the restricted sets of indicator families and target taxa. This validates the concept of predictor sets for species-rich tropical systems. Including or excluding rare taxa in the analyses did not alter these conclusions. We conclude that calibration studies similar to ours are needed elsewhere in the tropics and that this strategy will allow to devise a representative and efficient biotic index for the biological monitoring of terrestrial arthropod assemblages in the tropics.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoen_AU
dc.publisherKluwer Academic Publishers
dc.publisher.placeDordrecht, NL
dc.publisher.urihttp://www.springer.com/life+sci/journal/10531
dc.relation.ispartofpagefrom709
dc.relation.ispartofpageto732
dc.relation.ispartofissue4
dc.relation.ispartofjournalBiodiversity and Conservation
dc.relation.ispartofvolume13
dc.subject.fieldofresearchHistory and Archaeology
dc.subject.fieldofresearchEcological Applications
dc.subject.fieldofresearchEnvironmental Science and Management
dc.subject.fieldofresearchEcology
dc.subject.fieldofresearchcode21
dc.subject.fieldofresearchcode0501
dc.subject.fieldofresearchcode0502
dc.subject.fieldofresearchcode0602
dc.titleDiscriminatory power of different arthropod data sets for the biological monitoring of anthropogenic disturbance in tropical forests
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyrightCopyright Kluwer 2004. The original publication is available at www.springerlink.com
gro.date.issued2004
gro.hasfulltextNo Full Text
gro.griffith.authorKitching, Roger L.


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