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。
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^-.
出处
《生态学报》
CAS
CSCD
北大核心
2007年第11期4717-4728,共12页
Acta Ecologica Sinica
基金
国家林业科技支撑计划资助项目(2006BAD03A08-03)~~
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
spatial distribution pattern
K-function
L-function
pair-correlation function
uniform angle index
comparisonof methods
