Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.11/1387
Título: A set of models for individual tree merchantable volume prediction for Pinus pinaster Aiton in central inland of Portugal
Autor: Alegria, C.M.M.
Tomé, M.
Palavras-chave: Total volume model
Volume ratio model
Taper model
Merchantable volume
Pinus pinaster Aiton
Data: 2011
Editora: Springer
Citação: ALEGRIA, C.M.M. ; TOMÉ, M. (2011) - A set of models for individual tree merchantable volume prediction for Pinus pinaster Aiton in central inland of Portugal. European Journal of Forest Research. Vol 130(5). p. 871-879.
Resumo: The study purpose selected among several candidate models for best individual tree, over bark, total volume model, volume ratio model to any top height limit and taper model for maritime pine (Pinus pinaster Aiton) in the regions of Pinhal Interior Sul and Beira Interior Sul, Portugal. The data used in the study were collected from 144 felled trees, corresponding to 995 diameter/height measurements. To select among the best models, several statistics were computed during model fitting, and the independent validation procedure was used to evaluate model fitting, collinearity and prediction performance. A ranking index was used to support the final decision. The analysis of models studentized residuals distribution showed that some regression model assumptions, such as normality and homogeneity, were not met. To overcome this unideal situation, the models selected were then fitted again using robust regression and weighted regression techniques. The set of adjusted models will allow the prediction of individual tree, over bark, total volume and merchantable volume to any merchantable limit, for both species and region to support management decisions.
Descrição: The original publication is available at www.springerlink.com
Peer review: yes
URI: http://hdl.handle.net/10400.11/1387
Versão do Editor: http://www.springerlink.com/content/u502767143544rn4/
Aparece nas colecções:ESACB - Artigos em revistas com arbitragem científica

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