DOMINANT HEIGHT PROJECTION MODEL WITH THE ADDITION OF ENVIRONMENTAL VARIABLES

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Antonio Carlos Ferraz Filho José Roberto Soares Scolforo Maria Zélia Ferreira Romualdo Maestri Adriana Leandra de Assis Antonio Donizette de Oliveira José Márcio de Mello

Abstract

This study investigated the behavior of climatic variables inserted as inclination modifiers of the Chapman-Richards model for estimating dominant height. Thus, 1507 data pairs from a Continuous Forestry Inventory of clonal eucalyptus stands were used. The stands are located in the States of Espírito Santo and southern Bahia. The climatic variables were inserted in the dominant height model because the model is a key variable in the whole prognosis system. The models were adjusted using 1360 data pairs, where the rest of the data was reserved for model validation. The climatic variables were selected by using the Backward model construction method. The climatic variables indicated by the Backward method and inserted in the model were: mean monthly precipitation and solar radiation. The inclusion of climatic variables in the model resulted in a precision gain of 19.8% for dominant height projection values when compared with the conventional model. The advantage of the method used in this study is the actualization of inventory data contemplating climatic history and productivity estimates in areas without prior plantation. 

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How to Cite
FILHO, Antonio Carlos Ferraz et al. DOMINANT HEIGHT PROJECTION MODEL WITH THE ADDITION OF ENVIRONMENTAL VARIABLES. CERNE, [S.l.], v. 17, n. 3, p. 427-433, may 2015. ISSN 2317-6342. Available at: <http://cerne.ufla.br/site/index.php/CERNE/article/view/65>. Date accessed: 19 sep. 2019.
Keywords
Climatic variable, dominant height, projection model
Section
Article