文献类型：期刊文献

中文题名：与材积兼容的生物量模型的建立及其估计方法研究

英文题名：Study on Estabilish and Estimate Method of Biomass Model Compatible with Volume

作者：张会儒[1] 唐守正[1] 王奉瑜[1]

第一作者：张会儒

机构：[1]中国林业科学研究院资源信息研究所

年份：1999

卷号：12

期号：1

起止页码：53-59

中文期刊名：林业科学研究

外文期刊名：FOREST RESEARCH

收录：CSTPCD;;Scopus;北大核心:【北大核心1996】；CSCD:【CSCD2011_2012】；

基金：林业部重点课题

语种：中文

中文关键词：生物量;兼容模型;长白落叶松;椴树;森林蓄积

外文关键词：biomass; compatible model; Larix olgensis; Tilia amurensis

分类号：S758.51;S718.556

摘要：建立生物量模型是生物量估测的主要手段，而建立与材积兼容的生物量模型是实现生物量调查与森林蓄积量调查相结合的基础。因此，采用变量逐步筛选法建立了落叶松和椴树与材积兼容的生物量模型。模型的参数估计采用了加权最小二乘法，以消除异方差现象。同时，提出了５个指标用于模型评价，即参数变动系数Ｃｖｉ、总相对误差Ｅｒ、平均相对误差Ｅｍ，平均相对误差绝对值Ｅａ和预估精度Ｐ。研究结果表明，所建的生物量模型不仅实现了与材积表的兼容，而且估计效果和预估精度较以往的ＣＡＲ模型都有显著提高。
Establishing biomass models is a major way of biomass estimate.To establish biomass model compatible with volume table is the base of realizing the combination of forest biomass survey and growing stock invertory.Based on this point,the progressive variable selection method is used to establish biomass model compatible with volume table for Larix olgensis and Tilia amurensis ,and weighted least squares method is used to estimate parameters for clearing up phenomenon of non homogeneous variance.In the meantime,the paper presented five indices for evaluation of models,they are coefficient of variation for parameters C v i , total relative error E r , average relative error E m average absolute value of relative error E a and prediction precision P . All the results show that biomass models established in this paper not only realize compatibility with volume table,but also get remarkable improvement in estimate effect and prediction precision comparing with previous model CAR.According to the results,some reference models are given.