DocumentCode
1931630
Title
Integrated Stand Growth Model (ISGM) and Its Application
Author
Hong, Lingxia ; Tang, Shouzheng ; Li, Haikui ; Li, Yongci ; de Coligny, F.
Author_Institution
Inst. of Forest Resource Inf. Tech., CAF, Beijing
fYear
2006
fDate
13-17 Nov. 2006
Firstpage
223
Lastpage
230
Abstract
The Integrated Stand Growth Model (ISGM) is a prototype for pure even-aged stand which includes several nonlinear simultaneous equations: 1) basal area growth model; 2) self-thinning model; 3) dominant tree height growth model or site index curves; 4) relationship between average tree height and dominant tree height; 5) form height model and density index definition; basal area formula; stand volume formula. A new parameter estimation method of two-stage error-in-variable model (TSEM) for nonlinear simultaneous equations is used to estimate the parameters of ISGM to ensure the parameter estimation is unbiased and all the variables in the equations are compatible. The ISGM can be used to simulate pure even-aged stand growth with different values of site index, stand density, different thinning methods, and to draw a stand density control chart with the ForStat software (in Chinese) and in the Capsis platform (in English). The parameter estimation and simulation method are given in this paper.
Keywords
digital simulation; forestry; nonlinear equations; parameter estimation; vegetation; ForStat software; basal area formula; basal area growth model; density index definition; dominant tree height growth model; forest growth model; form height model; integrated stand growth model; nonlinear simultaneous equation; parameter estimation method; pure even-aged stand growth simulation; self-thinning model; site index curve; stand density control chart; stand volume formula; two-stage error-in-variable model; Accuracy; Analytical models; Control charts; Error analysis; Measurement errors; Nonlinear equations; Parameter estimation; Virtual prototyping; Visualization; Yttrium;
fLanguage
English
Publisher
ieee
Conference_Titel
Plant Growth Modeling and Applications, 2006. PMA '06. Second International Symposium on
Conference_Location
Beijing
Print_ISBN
978-0-7695-2851-9
Type
conf
DOI
10.1109/PMA.2006.48
Filename
4548374
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