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林木空间分布格局分析方法
引用本文:惠刚盈,李丽,赵中华,党普兴.林木空间分布格局分析方法[J].生态学报,2007,27(11):4717-4728.
作者姓名:惠刚盈  李丽  赵中华  党普兴
作者单位:1. 中国林业科学研究院林业研究所,国家林业局林木培育重点实验室,北京,100091
2. 沈阳农业大学林学院,沈阳,110161
3. 西北林业调查规划设计院,西安,710048
摘    要:采用5块实地调查样地和30块模拟样地,通过基于Ripley K-函数的L-函数、双相关函数和角尺度方法在林木空间分布格局研究中的比较分析,得出如下结论:双相关函数和角尺度在判断的准确性方面优于L-函数;角尺度在有效性和可行性方面比L-函数和双相关函数更强,并且它能利用角尺度分布图和均值同时作定性和定量分析,从而使其优势更加明显。

关 键 词:林木空间分布格局  K-函数  L-函数  双相关函数  角尺度  分析方法
文章编号:1000-0933(2007)11-4717-12
收稿时间:4/3/2007 12:00:00 AM
修稿时间:2007-04-03

The comparison of methods in analysis of the tree spatial distribution pattern
HUI Gangying,LI Li,ZHAO Zhonghua and DANG Puxing.The comparison of methods in analysis of the tree spatial distribution pattern[J].Acta Ecologica Sinica,2007,27(11):4717-4728.
Authors:HUI Gangying  LI Li  ZHAO Zhonghua and DANG Puxing
Institution:Research Institute of Forestry, Chinese Academy of Forestry, Key Laboratory of Tree Breeding and Cultivation, Beijing 100091, China;Forestry College, Shenyang Agricultural University, Shenyang 110161, China;Research Institute of Forestry, Chinese Academy of Forestry, Key Laboratory of Tree Breeding and Cultivation, Beijing 100091, China;Northwest Institute of Forest Inventory , Planning and Design , SFA , Xi'an 710048, China
Abstract:The following conclusions were obtained from comparison of L-function base on K-function, pair-correlation function and uniform angle index used in analyzing of tree spatial distribution pattern, the data from 5 actual plots and 30 simulative plots. Pair-correlation function and uniform angle index were exacter than L-function; Uniform angle index was effective and feasible than L-function and pair-correlation function, besides, uniform angle index has additional advantage for it can carry out qualitative and quantitative analysis synchronously by uniform angle index distributing diagram and average value W^-.
Keywords:spatial distribution pattern  K-function  L-function  pair-correlation function  uniform angle index  comparison of methods
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