Font Size: a A A

On The Forest Biomass's Modeling And Precision Analysis

Posted on:2007-10-22Degree:DoctorType:Dissertation
Country:ChinaCandidate:Z F WangFull Text:PDF
GTID:1103360212957706Subject:Forest management
Abstract/Summary:PDF Full Text Request
Up till the present moment, the construction and data processing and precision analysis of forest biomass model are lagging , this is because (1) modeling to use allometry equation W = a ( D 2H)b( power function) and sample trees data,the quasi-linearization regression method by substitution is still used to calculate the parameters a and b , the heteroscedasticity of the dependent variable after substitution is ignored , so that the errors of the calculated parameters a and b are larger , and on the other hand , the precision of a and b is not given , (2) calculating the tree's biomass in sample plots , only the results of biomass is given , their precision can not be estimated , (3) the models to calculate the tree's volume and biomass by tree's height and breast-height-diameter are usually nonlinear ones , but only unitary linear model is used to transform tree's volume into biomass ,(4) whether or not the biomasses between different tree species in the same area can be transformed and how they are transformed , we are shorter of research about these problems . For solving above problems, firstly, this paper makes some theoretical studies and constructsappropriate theoretical models,and then makes some experimental analyses and comparative studies to use the data of sample trees(or sample plots)for each problem . The concrete methods are (1) studies the data processing and precision analysis models when we estimate the allometry equation parameters to use nonlinear least square method and weighted quasi-linearization regression method by the parameter adjustment theory , nonlinear least square theory and data of sample trees , (2) studies and analyses the precision analysis models of tree's biomass in sample plots by the variance-covariance propagation law and the data in sample plots , (3) studies the nonlinear model to transform tree's volume into biomass by the sample tree's data and the equations of tree's volume and biomass which are same in shape and different in parameters , (4) studies linear and nonlinear transforming models of biomass between different kinds of trees in same area by the definition of biology characteristic coefficient , the concept of false biomass and the data of sample trees .The main achievements and innovating points in the paper include the following five items , those are...
Keywords/Search Tags:Biomass, Allometry equation, Weighted quasi-linearization regression, Nonlinear regression, Precision analysis
PDF Full Text Request
Related items