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dc.creatorMoreno,Paulo C
dc.creatorGezan,Salvador A
dc.creatorPalmas,Sebastian
dc.creatorEscobedo,Francisco J
dc.creatorCropper Jr.,Wendell P
dc.date2018-01-01
dc.date.accessioned2019-06-12T02:01:04Z
dc.date.available2019-06-12T02:01:04Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0717-92002018000300397
dc.identifier.urihttps://bibliotecadigital.infor.cl/handle/20.500.12220/29126
dc.descriptionSUMMARY: Second-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.
dc.formattext/html
dc.languageen
dc.publisherUniversidad Austral de Chile, Facultad de Ciencias Forestales
dc.relation10.4067/S0717-92002018000300397
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceBosque (Valdivia) v.39 n.3 2018
dc.subjectRo-ra-co forest type
dc.subjectPca
dc.subjectNmds
dc.subjectPcoa
dc.subjectK-means cluster
dc.titleExploring stand and tree variability in mixed Nothofagus second-growth forests through multivariate analyses
dc.typeArtículo de revista


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