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The use of vegetation structure measures to improve habitat classification

dc.contributor.authorQuinta-Nova, L.C.
dc.date.accessioned2012-03-27T13:33:05Z
dc.date.available2012-03-27T13:33:05Z
dc.date.issued1999
dc.description.abstractThe methods used to determine habitat classifications are important to planning and management. Therefore, the use of wildlife communities to improve habitat classification is crucial in Landscape Ecology. The importance of vegetation in the habitat use characteristics of breeding bird communities occurring in Évora (Portugal) was studied. Two transects were censured to provide distributional records of all species in order to investigate the relationship between vegetation structure and ornithological abundance. Canonical Correspondence Analysis (CCA) was used to identify the vegetation measures with greater influence in breeding bird community composition, using Foliage Height Diversity (FHD) and other vegetation structure measures.por
dc.identifier.citationQUINTA-NOVA, L.C. (1999) - The use of vegetation structure measures to improve habitat classification. 5th. World Congress of Landscape Ecology. Aspen (E.U.A.), 29 de Julho a 3 de Agosto.por
dc.identifier.urihttp://hdl.handle.net/10400.11/1234
dc.language.isoengpor
dc.peerreviewednopor
dc.subjectLandscape ecologypor
dc.subjectHabitat classificationpor
dc.subjectVegetation structurepor
dc.subjectBird communitiespor
dc.titleThe use of vegetation structure measures to improve habitat classificationpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceAspen (EUA)por
oaire.citation.title5th. World Congress of Landscape Ecologypor
person.familyNameQuinta-Nova
person.givenNameLuís
person.identifier.ciencia-id7E1C-426F-DCFF
person.identifier.orcid0000-0002-8464-7527
person.identifier.ridO-2888-2014
person.identifier.scopus-author-id36094927600
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationf0595f24-cf61-4057-b388-e919e88a0fb4
relation.isAuthorOfPublication.latestForDiscoveryf0595f24-cf61-4057-b388-e919e88a0fb4

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