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Resolving uncertainties in predictive equations for urban tree crown characteristics of the southeastern United States: Local and general equations for common and widespread species

dc.creatorBlood, A.spa
dc.creatorStarr, G.spa
dc.creatorEscobedo, F.J.spa
dc.creatorChappelka, A.spa
dc.creatorWiseman, P.E.spa
dc.creatorSivakumar, Ramaspa
dc.creatorStaudhammer, C.L.spa
dc.date.accessioned2020-05-26T00:01:51Z
dc.date.available2020-05-26T00:01:51Z
dc.date.created2016spa
dc.description.abstractUrban forest research and management requires improved methods for quantifying ecosystem structure and function. Regional equations for urban tree crown width and height can accordingly improve predictions of urban tree structure. Using a large regional dataset with 12 locations in the southeastern US, we developed diameter-based equations for 97 urban tree species. Whereas previously published urban equations have almost exclusively been developed with one location on public or commercial land, our data included both public and private land uses. For 5 widespread, common urban tree species (Acer rubrum, Cornus florida, Pinus taeda, Quercus nigra and Lagerstroemia spp.), we also assessed the inclusion of additional variables such as crown light exposure, land cover, basal area, and location. Overall, height and crown width models were improved when including additional predictors, although competition and location effects varied by species. Study city was a significant predictor of tree height in all species except C. florida, and a significant predictor of crown width for all species except C. florida and Q. nigra. This indicates that anthropogenically-influenced variation among cities can lead to significant differences in both tree form and structure and that future model development should utilize data encompassing multiple cities. Our predictive equations for urban tree crown characteristics provide an improved method for planning, management, and estimating the provision of ecosystem services to improve quality of life in cities. © 2016 Elsevier GmbHeng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1016/j.ufug.2016.09.009
dc.identifier.issn16188667
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/23416
dc.language.isoengspa
dc.publisherElsevier GmbHspa
dc.relation.citationEndPage294
dc.relation.citationStartPage282
dc.relation.citationTitleUrban Forestry and Urban Greening
dc.relation.citationVolumeVol. 20
dc.relation.ispartofUrban Forestry and Urban Greening, ISSN:16188667, Vol.20,(2016); pp. 282-294spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84990211460&doi=10.1016%2fj.ufug.2016.09.009&partnerID=40&md5=5815875422972a2264d992532d9f78e1spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordAllometryspa
dc.subject.keywordCanopy architecturespa
dc.subject.keywordConiferous forestspa
dc.subject.keywordData setspa
dc.subject.keywordEcosystem functionspa
dc.subject.keywordEcosystem servicespa
dc.subject.keywordEcosystem structurespa
dc.subject.keywordForest inventoryspa
dc.subject.keywordForest managementspa
dc.subject.keywordLand usespa
dc.subject.keywordSamplingspa
dc.subject.keywordUncertainty analysisspa
dc.subject.keywordUrban forestryspa
dc.subject.keywordUnited statesspa
dc.subject.keywordAcer rubrumspa
dc.subject.keywordCornus floridaspa
dc.subject.keywordLagerstroemiaspa
dc.subject.keywordPinus taedaspa
dc.subject.keywordQuercus nigraspa
dc.subject.keywordCrown widthspa
dc.subject.keywordTree heightspa
dc.subject.keywordTree inventoryspa
dc.subject.keywordUrban forest samplingspa
dc.subject.keywordUrban tree allometryspa
dc.titleResolving uncertainties in predictive equations for urban tree crown characteristics of the southeastern United States: Local and general equations for common and widespread speciesspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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