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Exploring stand and tree variability in mixed Nothofagus second-growth forests through multivariate analyses

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dc.creatorMoreno, Paulo Cspa
dc.creatorGezan, Salvador Aspa
dc.creatorPalmas, Sebastianspa
dc.creatorEscobedo, Francisco Jspa
dc.creatorCropper, Wendell Pspa
dc.date.accessioned2020-05-26T00:03:31Z
dc.date.available2020-05-26T00:03:31Z
dc.date.created2018spa
dc.description.abstractSecond-growth forests of Nothofagus obliqua (roble), N. alpina (raulí) and N. dombeyi (coihue), known locally as RO-RA-CO forest type, are among the most important natural mixed forest types of Chile. Several studies have identified a wide range of factors that could influence both stand and tree variability found in these forests. To better characterize potential tree- and stand-level factors that are associated with RO-RA-CO variability, and that are available in typical forest inventories, several unsupervised multivariate statistical methods were evaluated: 1) non-metric multidimensional scaling (NMDS); 2) principal coordinates analysis (PCoA); and 3) principal component analysis (PCA). The data used in this study originated from a sample of 158 plots consisting of two plot networks that covered the full geographic area of the RO-RA-CO forest type in Chile. We found that site productivity and growth zones did not explain the differences within the sampled population. However, stand development stages, tree-to-tree competition, and tree-size attributes were critical variables with a high percentage of variance explained using PCA, ranging from 61 % to 67 %. In addition, for the PCoA analysis, the variable stand density is important, with ~78 % variance explained. © 2018, Universidad Austral de Chile. All rights reserved.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.4067/S0717-92002018000300397
dc.identifier.issn03048799
dc.identifier.issn07179200
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/23600
dc.language.isoengspa
dc.publisherUniversidad Austral de Chilespa
dc.relation.citationEndPage410
dc.relation.citationIssueNo. 3
dc.relation.citationStartPage397
dc.relation.citationTitleBosque
dc.relation.citationVolumeVol. 39
dc.relation.ispartofBosque, ISSN:03048799, 07179200, Vol.39, No.3 (2018); pp. 397-410spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85061937084&doi=10.4067%2fS0717-92002018000300397&partnerID=40&md5=5c76cbb81fde235b4fe9dc9802cb6fdfspa
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.keywordK-means clusterspa
dc.subject.keywordNMDSspa
dc.subject.keywordPCAspa
dc.subject.keywordPcoaspa
dc.subject.keywordRO-RA-CO forest typespa
dc.titleExploring stand and tree variability in mixed Nothofagus second-growth forests through multivariate analysesspa
dc.title.TranslatedTitleExplorando la variabilidad de rodal y árbol en bosques de renovales mixtos de Nothofagus spp. Utilizando análisis multivariadosspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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