文献类型：期刊文献

中文题名：辽东山区落叶松林枝条叶面积模型选择

英文题名：Leaf area simulation of branches for larch forests in the montane regions of eastern Liaoning province

作者：贾宝军[1] 胡靖扬[1] 林宽[1] 冯倩男[1] 刘常富[1,2] 于立忠[3]

第一作者：贾宝军

机构：[1]沈阳农业大学林学院;[2]中国林业科学研究院森林生态环境与保护研究所;[3]中国科学院清原森林生态系统观测研究站

年份：2016

卷号：36

期号：10

起止页码：54-59

中文期刊名：中南林业科技大学学报

外文期刊名：Journal of Central South University of Forestry & Technology

收录：CSTPCD;;北大核心:【北大核心2014】；CSCD:【CSCD_E2015_2016】；

基金：引进国际先进林业科学技术(2013-4-59);国家自然科学基金项目(31270490)

语种：中文

中文关键词：落叶松;叶面积;枝水平;回归模型

外文关键词：Larix spp.; leaf area; branch level; regress model

分类号：S791.22

摘要：本研究基于辽东山区实测落叶松特征因子,通过枝条解析法获得了254组枝条的叶面积、枝条基径、枝条长度等属性数据,在枝条水平上采用一元非线性方程和二元及多元非线性方程建立以枝条属性因子为自变量的枝条叶面积模型。结果表明:枝条基部断面积(d2)与枝条叶面积有最高的相关性,最优一元枝条叶面积模型为:y=8.967/(1+50.901e-0.084d),其R2达到0.719,测算精度为86.34%(α=0.05)。引入相对着枝深度(RDINC),使得二元及多元模型的决定系数显著提高,最优二元枝条叶面积模型为:y=0.002(d2)2.260e-1.701RDINC,其R2达到0.796,测算精度为88.57%(α=0.05)。
Based on the characteristics measured in montane region of eastern Liaoning province, 254 branches’ leaf area, basal branch diameter, branch length and any more branch attributes were obtained by branch analytical method. At branch level the models for leaf area and branch attributes were developed by unitary nonlinear regression and binary nonliner regression and multivariate nonlinear regression respectively. The results showed that the basal area of branch （d^2） was highly correlated to branch leaf area. The modle of y=8.967/（1＋50.901e-0.084d） was the optimal unitary non-linearity regress equation. It’s coefficient of determination （R2） was 0.719 and the precision was 86.34% （α=0.05）. The coefficient of determination（R^2）was improved significantly after we brought the variable of relative depth into crown （RDINC） into the equation. The modle of y=0.002（d2^）^2.260e^-1.701RDINC was the optimal binary non-linearity regress equation. It’s coefficient of determination （R^2） was up to 0.796 and the precision was 88.57%（α=0.05）.