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Developing Stand Basal Area Growth Models for Pinus massoniana and Cunninghamia lanceolata in Hunan Province
Received date: 2021-08-19
Revised date: 2021-10-08
Online published: 2021-11-29
Developing the stand basal area growth models for Pinus massoniana and Cunninghamia lanceolata in Hunan Province was a data support measure for forest sustainable management.Based on the data of 838 plots of Pinus massoniana and 1 484 plots of Cunninghamia lanceolata in Hunan province,an optimal basic model was selected from 9 candidate models with biological significance.Taking species,site class and stand origin as dummy variable,the stand basal area growth model was constructed.The results showed that the optimal fitting models of Pinus massoniana and Cunninghamia lanceolata were in the form of Richards,with corresponding coefficients of determination at 0.985 and 0.987,respectively.Compared with the basic model,the fitting accuracy of the stand basal area growth model was improved after introducing dummy variable such as species,site class and stand origin,with a R2 at 0.992 and a RMSE dropping to 0.682.Conclusions:The growth pattern of stand basal for Pinus massoniana and Cunninghamia lanceolata in Hunan province can be reflected by the model with species and site class and stand origin as dummy variable,which reduced the workload of computation and provided a method for integrating different forest stands.The limit value of stand basal area for Cunninghamia lanceolata was higher than that for Pinus massoniana.Furthermore,in the same stand density,the growth rate of stand basal area for Pinus massoniana and Cunninghamia lanceolata both decreased with the decrease of site quality.
Peng HE , Zhenxiong CHEN , Xianzhao LIU . Developing Stand Basal Area Growth Models for Pinus massoniana and Cunninghamia lanceolata in Hunan Province[J]. Forest and Grassland Resources Research, 2021 , 0(5) : 56 -61 . DOI: 10.13466/j.cnki.lyzygl.2021.05.008
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