期刊论文详细信息
CERNE
EQUAÇÕES HIPSOMÉTRICAS PARA Eucalyptus spp. NÃO MANEJADO EM IDADE AVANÇADA COM TÉCNICAS DE INCLUSÃO DE COVARIANTES
Pires, Júlio Vilela2  Altoé, Thiza Falqueto2  Scolforo, José Roberto Soares2  Mello, José Márcio de2  Scalon, João Domingos2  Oliveira, Gabriel Marcos Vieira1 
[1] Instituto de Defesa Agropecuária e Florestal do Espírito Santo, Mimoso do Sul, Brasil$$;Universidade Federal de Lavras, Lavras, Brazil$$
关键词: Regression;    covariates;    decomposition of parameters.;   
DOI  :  10.1590/01047760201521031740
来源: Universidade Federal de Lavras-UFLA
PDF
【 摘 要 】

The aim of the study was to establish hypsometric equations for unmanaged Eucalyptus spp. in old age. For this purpose we measured the diameter and height of 513 stems distributed in 11 species and the hypsometric relationship was established by six regression models, being selected the one with the best Akaike Information Criterion (AIC), standard error of estimative (Syx), Maximum Likelihood Ratio Test and Residual Graphical Analysis. Subsequently, the best model has undergone the inclusion of the covariates stem quality (Qf) and Species (Sp) by means of the decomposition of its parameters. Under these conditions, the model of Chapman and Richards showed the best performance in both modeling approaches. When compared both models, we observed a reduction of 71 AIC units and 7.4% in Syx and a significant improvement in all aspects of the residual distribution in the model with covariates. The results show that it is possible to provide hypsometric equations suitable for unmanaged Eucalyptus in old age, with and without addition of covariates, and the last technique has provided significant improvement in the quality of fit of the models.

【 授权许可】

Unknown   

【 预 览 】
附件列表
Files Size Format View
RO201912040509994ZK.pdf 1059KB PDF download
  文献评价指标  
  下载次数:7次 浏览次数:3次