Dominant height projection model with the addition of environmental variables

CERNE

Antonio Carlos Ferraz Filho²  José Roberto Soares Scolforo¹  Maria Zélia Ferreira¹  Romualdo Maestri¹  Adriana Leandra De Assis¹  Antônio Donizette De Oliveira¹  José Márcio De Mello¹ 

[1] ,Universidade Federal de Lavras Departamento de Ciências Florestais Lavras MG ,Brasil

关键词: Climatic variable;    dominant height;    projection model;    Variável climática;    altura dominante;    modelo de projeção;   

DOI  :  10.1590/S0104-77602011000300018

来源: SciELO

【 摘 要 】

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.

【 授权许可】

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