%0 Journal Article
%T NESTED REGRESSION FOR ESTABLISHING TREE BIOMASS EQUATIONS<br>嵌套式回归建立树木生物量模型
%A LIU Qi-Jing
%A <br>刘琪璨
%J 植物生态学报
%D 2009
%I Editorial Office of Chinese Journal of Plant Ecology
%X Aims The objective was to introduce a simplified method called nested regression for quick establishment of allometric models for tree biomass. Methods Main branches at all orders were used as basic sample units. The biomass of a branch was obtained by summing that of its sub-branches or sub-main branches, either observed or estimated. Thus the span of branch diameter for the equation was extended. The branch was dissected into main braches, and a main branch is the axis of a branch at any order. Biomass equations were established for main branches, branches and individual trees, progressively. By summing the values of main braches, the biomass of a branch in a higher order was obtained. Important findings Because of data nesting, i.e., small branches were encompassed in their upper-order branches, the measured sample was reduced to a minimum, making the method time- and cost-effective. Satisfactory accuracy of predicted values was shown by testing with observed data.
%K biomass
%K branch
%K allometric equation
%K nested sampling<br>生物量
%K 枝条
%K 异速生长方程
%K 嵌套式回归
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=2F2173CCFF292BF447DC2681EA33BBAE&aid=8C508C472BBBF805883A6037469E26EE&yid=DE12191FBD62783C&vid=27746BCEEE58E9DC&iid=0B39A22176CE99FB&sid=717CC18E05F2AFA0&eid=5FF9F4F7CB1800C7&journal_id=1005-264X&journal_name=植物生态学报&referenced_num=2&reference_num=27