A dominant height growth model for eucalyptus plantations in Portugal

Ayana Mateus; Margarida Tomé

Discussiones Mathematicae Probability and Statistics (2009)

  • Volume: 29, Issue: 2, page 155-168
  • ISSN: 1509-9423

Abstract

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Eucalyptus globulus Labill is one of the most important economic forest species in Portugal, occupying an area of 875.10³ ha in a total forest area of 3346.10³ ha (Tomé et al., 2007). The main goal of this study is to develop a dominant height growth model for Eucalyptus, applicable throughout the country, representing an improve of the curves that are part of the whole stand model existing in Portugal, the GLOBULUS model (Tomé et al., 2001). The dominant height growth model will be built on a biological function formulated as a difference equation (Algebraic Difference Approach) to an all possible growth intervals data structure. The dynamic model proposed, obtains non biased and efficient estimates for the parameters. Comparing to the already available model, the last has the advantage of expressing the asymptote in weather variables functions, meaning that it is possible to reproduce the eucalyptus growth according to weather changes.

How to cite

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Ayana Mateus, and Margarida Tomé. "A dominant height growth model for eucalyptus plantations in Portugal." Discussiones Mathematicae Probability and Statistics 29.2 (2009): 155-168. <http://eudml.org/doc/277052>.

@article{AyanaMateus2009,
abstract = {Eucalyptus globulus Labill is one of the most important economic forest species in Portugal, occupying an area of 875.10³ ha in a total forest area of 3346.10³ ha (Tomé et al., 2007). The main goal of this study is to develop a dominant height growth model for Eucalyptus, applicable throughout the country, representing an improve of the curves that are part of the whole stand model existing in Portugal, the GLOBULUS model (Tomé et al., 2001). The dominant height growth model will be built on a biological function formulated as a difference equation (Algebraic Difference Approach) to an all possible growth intervals data structure. The dynamic model proposed, obtains non biased and efficient estimates for the parameters. Comparing to the already available model, the last has the advantage of expressing the asymptote in weather variables functions, meaning that it is possible to reproduce the eucalyptus growth according to weather changes.},
author = {Ayana Mateus, Margarida Tomé},
journal = {Discussiones Mathematicae Probability and Statistics},
keywords = {algebraic difference equation; dynamic model; dominant height; forest planning; non linear model; nonlinear model},
language = {eng},
number = {2},
pages = {155-168},
title = {A dominant height growth model for eucalyptus plantations in Portugal},
url = {http://eudml.org/doc/277052},
volume = {29},
year = {2009},
}

TY - JOUR
AU - Ayana Mateus
AU - Margarida Tomé
TI - A dominant height growth model for eucalyptus plantations in Portugal
JO - Discussiones Mathematicae Probability and Statistics
PY - 2009
VL - 29
IS - 2
SP - 155
EP - 168
AB - Eucalyptus globulus Labill is one of the most important economic forest species in Portugal, occupying an area of 875.10³ ha in a total forest area of 3346.10³ ha (Tomé et al., 2007). The main goal of this study is to develop a dominant height growth model for Eucalyptus, applicable throughout the country, representing an improve of the curves that are part of the whole stand model existing in Portugal, the GLOBULUS model (Tomé et al., 2001). The dominant height growth model will be built on a biological function formulated as a difference equation (Algebraic Difference Approach) to an all possible growth intervals data structure. The dynamic model proposed, obtains non biased and efficient estimates for the parameters. Comparing to the already available model, the last has the advantage of expressing the asymptote in weather variables functions, meaning that it is possible to reproduce the eucalyptus growth according to weather changes.
LA - eng
KW - algebraic difference equation; dynamic model; dominant height; forest planning; non linear model; nonlinear model
UR - http://eudml.org/doc/277052
ER -

References

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  1. [1] M. Tomé, S. Barreiro, A. Cortiçada, A. Meyer, T. Ramos and P. Malico, Inventário florestal 2005-2006. Áreas, volumes e biomassas dos povoamentos florestais. Resultados Nacionais e por Nutś II e III. Publicações GIMREF RT 5/2007 Universidade Técnica de Lisboa. Instituto Superior de Agronomia, Centro de Estudos Florestais, Lisboa, Portugal 2007. 
  2. [2] M. Tomé, F. Ribeiro and P. Soares, O modelo GLOBULUS 2.1-Relatórios técnico científicos do GIMREF n°1/2001. Universidade Técnica de Lisboa, Instituto Superior de Agronomia, Centro de Estudos Florestais, Lisboa, Portugal 2001. 
  3. [3] G.G. Wang, K. Klinka and W. John, Use of synoptic variables in predicting white spruce site index, For. Ecol. Manage 80 (1996), 95-105. 
  4. [4] R.A. Monserud, Height growth and site index curves for inland Douglas-firbased on stem analysis data and forest habitat type, For. Sci. 30 (1984), 943-965. 
  5. [5] L. Clutter, J. Fortson, L. Pienaar, G. Brister and L. Bailey, Timber Management: A Quantitative approach, John Wiley and Sons 1983. 
  6. [6] F. Ribeiro and M. Tome, Classificação climática de Portugal continental, baseada em informação do atlas do ambiente, Revista de Cięncias Agrárias 2000. 
  7. [7] A.R. Gallant, Nonlinear Statistical Models, John Wiley & Sons (1987), 624p. Zbl0611.62071
  8. [8] The SAS System for windows, 9.1 edition. 
  9. [9] G.A.F. Seber and C.G. Wild, Nonlinear Regression, New York, John Wiley 1989. 

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