摘要
本文导出了一组基于两个最近个体距离X_s和X_t的空间格局非随机性检验统计量C_(S,t),并通过模拟研究,将它们与Holgate的指标日以及Pielou的指标口进行比较,最后将其应用于两个天然林分的格局分析。结果表明,统计量C_(1,t)(t=2,3,4)的检验功效高于H而低于α,但C_(s,t)与总体密度参数无关,比α更具有实用性。
A class of nonrandoraness test statistics C_(s,t) (0<s<t) are derived which are based on the distances Xs and Xt to the s-th and t-th closest individuals from a random point. And through simulation study,C_(1,t) (t= 2,3,4) are compared with Pielou's nonrandomness index a and Holgate's H. It is concluded that the test powers of C_(1,t) (t=2, 3, 4) are lower than those of α and higher than those of H. But C_(s,t) are independent of population parameters, so they are more practical than α. The effects of the application of C_(1,t)(t=2, 3, 4) to two natural forest stands are good.
出处
《生物数学学报》
CSCD
北大核心
1993年第1期90-95,共6页
Journal of Biomathematics
关键词
距离法
空间格局
种群
分析方法
distance method
closest individual distancc
spatial pattern
nonrandomness
statistic
