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Please use this identifier to cite or link to this item: http://hdl.handle.net/10400.5/2691

Title: Modelling annual individual-tree growth and mortality of Scots pine with data obtained at irregular measurement intervals and containing missing observations
Authors: Soares, Paula
Tomé, Margarida
Crecente-Campo, Felipe
Diéguez-Aranda, Ulises
Keywords: basal area increment
height increment
growth model
variable growth rate
weighted regression
Pinus sylvestris
Issue Date: 2010
Publisher: Elsevier
Citation: "Forest Ecology and Management" ISSN 0378-1127. 260 (2010) 1965-1974
Abstract: An individual-tree growth model was developed with data from 54 permanent plots of Scots pine (Pinus sylvestris L.) located in Galicia (northwestern Spain). The study involved two model fitting approaches, one considering constant growth and mortality rates in the period between two consecutive inventories, and another considering variable growth and mortality rates in the same period. The individual-tree growth model was based on annual basal area growth, height growth and survival probability. The model included variables from groups pertaining to tree size, competition and age. Weighted regression was used as a tool for dealing with missing height observations in model fitting. Evaluation of the model via simulation of growth and mortality in the period between inventories showed that the variable growth rate approach provided slightly better results than the constant growth rate approach. The final model was consistent with expected diameter growth, height growth, dominant height growth, stand basal area growth and reduction in number of stems per hectare.
Peer Reviewed: yes
URI: http://hdl.handle.net/10400.5/2691
ISSN: 0378-1127
Publisher version: www.elsevier.com/locate/foreco
Appears in Collections:DEF - Artigos de Revistas

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