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Modelling annual individual-tree growth and mortality of Scots pine with data obtained at irregular measurement intervals and containing missing observations
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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
basal area increment height increment growth model variable growth rate weighted regression Pinus sylvestris
Contexto Educativo
Citação
"Forest Ecology and Management" ISSN 0378-1127. 260 (2010) 1965-1974