%0 Journal Article
%T 天然阔叶林蓄积量调查的误差分析与控制<br>Analysis and Control of Stand Volume Inventory Error in Natural Broad-leaved Forest
%A 吴友贵
%A 许大明
%J 西北林学院学报
%D 2015
%R doi:10.3969/j.issn.1001-7461.2015.02.33
%X 为了研究如何提高天然阔叶林蓄积量的调查精度，在浙江凤阳山-百山祖国家级自然保护区五岭坑天然阔叶林内建立6个30 m×30 m样地，采用多种方法对林分蓄积量进行统计和分析。结果表明，采用平均标准木法和平均树高法测量林分蓄积量存在较大的误差，蓄积量相对误差与树木的胸径方差存在显著的线性关系。提出的3种简便方法即霸王木外标准木法、分径级区间标准木法和霸王木外分径级区间标准木法可以有效地控制蓄积量误差。采用霸王木外标准木法可以减小较大的误差，采用分径级区间标准木法则可以较大地减小误差范围，而采用霸王木外分径级区间标准木法能够更大程度地减小误差范围。<br>In order to understand how to improve the survey accuracy of stand volume in a natural evergreen broad-leaved forest, 6 typical plots with 30 meters in length and 30 meters in width in Wulingkeng Mountain within Zhejiang Fengyangshan-Baishanzu National Nature Reserve were established and the stand volumes of these plots were analyzed by using various methods. Major results demonstrated that: there existed large error accumulation of stand volume by the methods of mean sample tree or mean tree height. Significant linear relationship was observed between the relative errors of stand volume and the variances of tree DBH. Three simple methods to control stand volume error were put forward, i. e., combination measurement of mean sample tree (MST) method and extraordinarily big tree (EBT) method; MST with diameter grade classification (DGC) method, and the combination of EBT and DGC. It was found that the first method could effectively reduce the larger error, the second one could reduce the error range, and the third one EBT with DGC could greatly reduce the error range
%K 天然阔叶林
%K 林分蓄积量
%K 误差分析
%K 方法改进&lt
%K br&gt
%K natural broad-leaved forest
%K stand volume
%K error analysis
%K improved method
%U http://xblxb.paperopen.com/oa/darticle.aspx?type=view&id=201502033