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2009 | 29 | 2 | 155-168
Tytuł artykułu

A dominant height growth model for eucalyptus plantations in Portugal

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Twórcy
autor
  • CMA, Departamento de Matemática, Faculdade de Ciências e Tecnologia FCT Universidade Nova de Lisboa, UNL Quinta da Torre, 2829-516 Caparica, Portugal
  • CEF-Centro de Estudos florestais, ISA - Instituto Superior de Agronomia, UTLisboa-Universidade Técnica de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
Bibliografia
  • [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] 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] 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] 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] L. Clutter, J. Fortson, L. Pienaar, G. Brister and L. Bailey, Timber Management: A Quantitative approach, John Wiley and Sons 1983.
  • [6] F. Ribeiro and M. Tome, Classificação climática de Portugal continental, baseada em informação do atlas do ambiente, Revista de Cięncias Agrárias 2000.
  • [7] A.R. Gallant, Nonlinear Statistical Models, John Wiley & Sons (1987), 624p.
  • [8] The SAS System for windows, 9.1 edition.
  • [9] G.A.F. Seber and C.G. Wild, Nonlinear Regression, New York, John Wiley 1989.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.bwnjournal-article-doi-10_7151_dmps_1112
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