A NEW METHOD FOR DETERMINING THE TYPE OF DISTRIBUTION OF PLANT INDIVIDUALS
A NEW METHOD FOR DETERMINING THE TYPE OF DISTRIBUTION OF PLANT INDIVIDUALS
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DOI：
10.1093/oxfordjournals.aob.a083391
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发表时间：
1954-01-01
期刊：
影响因子：
4.2
通讯作者：
SKELLAM, JG
中科院分区：
文献类型：
--
作者：
HOPKINS, B;SKELLAM, JG
该方法的原理是，如果随机选择的个体到其最近个体的距离为I，随机选择的点到其最近个体的距离为P，则如果个体是独立随机分布的，则聚集系数A（定义为[SIGMA]（P2）/[SIGMA]（I2），其中P和I的观测数相等）等于1。如果个体是聚合的，则A大于1，对于规则分布的个体，反之亦然。当对人工和自然种群进行测试时，该方法所给出的结果与当前的样方方法所给出的结果相比是有利的。该方法比样方法更快，特别适用于分析树木的分布。附录中给出了用于确定观测到的A偏离单位的显著性的方法的数学证明。
The principle of the metnod is that if I is the distance from an individual chosen at random to its nearest individual, and P is the distance from a point chosen at random to its nearest individual, then A, the coefficient of aggregation, (defined as [SIGMA] (P2)/[SIGMA](I2) where the number of observations of P and I are equal) equals unity if the individuals are distributed independently and at random. If the individuals are aggregated, Ais greater than unity and vice versa for individuals regularly distributed. The results given by this method compare favorably with those given by the current quadrat methods when tested on synthetic and natural populations. The method is quicker than the quadrat methods and is especially useful for analyzing the distribution of trees. A mathematical proof of the methods used for determining the significance of observed deviations of A from unity are given in the appendix.