Explorando la variabilidad de rodal y árbol en bosques de renovales mixtos de Nothofagus spp. Utilizando análisis multivariados

Paulo C. Moreno, Salvador A. Gezan, Sebastian Palmas, Francisco J. Escobedo, Wendell P. Cropper

Resultado de la investigación: Contribución a RevistaArtículo

Resumen

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.

Idioma originalEspañol
Páginas (desde-hasta)397-410
Número de páginas14
PublicaciónBosque
Volumen39
N.º3
DOI
EstadoPublished - jul 1 2018

All Science Journal Classification (ASJC) codes

  • Forestry

Citar esto

Moreno, Paulo C. ; Gezan, Salvador A. ; Palmas, Sebastian ; Escobedo, Francisco J. ; Cropper, Wendell P. / Explorando la variabilidad de rodal y árbol en bosques de renovales mixtos de Nothofagus spp. Utilizando análisis multivariados. En: Bosque. 2018 ; Vol. 39, N.º 3. pp. 397-410.
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abstract = "Second-growth forests of Nothofagus obliqua (roble), N. alpina (raul{\'i}) 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.",
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Explorando la variabilidad de rodal y árbol en bosques de renovales mixtos de Nothofagus spp. Utilizando análisis multivariados. / Moreno, Paulo C.; Gezan, Salvador A.; Palmas, Sebastian; Escobedo, Francisco J.; Cropper, Wendell P.

En: Bosque, Vol. 39, N.º 3, 01.07.2018, p. 397-410.

Resultado de la investigación: Contribución a RevistaArtículo

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AU - Escobedo, Francisco J.

AU - Cropper, Wendell P.

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