College of Forestry, Shanxi Agriculture University, Shanxi, 030801, People's Republic of China.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, People's Republic of China.
Sci Rep. 2022 Aug 19;12(1):14161. doi: 10.1038/s41598-022-18621-x.
The effects of disturbance on spatial patterns and species interactions provide critical information on community structure and species coexistence. Two standard plots of 1-ha were set, one of them was a sample plot with retrograde succession after disturbance, and the other one was undisturbed. Spatial indices and Spatial patterns statistics were used to analyze the spatial pattern and inter-specific correlation of main tree species in two plots. Our results showed that the diameter distributions of different species have reverse J-shape, unimodal and bimodal distribution in the disturbed plot, while bell-shaped curves were observed in the undisturbed plot. The distributions of tree species were mainly showed clustered patterns in almost all scales through univariate pair correlation function. Some similar results of the classification of Wiegand scheme of species association consistent with the consequences of the bivariate pair correlation. The mark variograms showed positive autocorrelation at a coarse scale. The current study may aid in efforts of forest management planning and ecosystem services. Meanwhile, different research methods of spatial distribution also help to improve the accuracy of spatial distribution and the interspecific association of tree species.
干扰对空间格局和种间相互作用的影响为群落结构和物种共存提供了关键信息。设置了两个 1 公顷的标准样地,一个是干扰后逆行演替的样地,另一个是未干扰的样地。利用空间指数和空间格局统计分析了两个样地主要树种的空间格局和种间相关性。结果表明,干扰样地不同树种的直径分布呈反 J 形、单峰和双峰分布,而未干扰样地呈钟形曲线。通过单变量成对相关函数,树种的分布在几乎所有尺度上主要表现为聚集模式。物种关联的 Wiegand 方案分类的一些类似结果与双变量成对相关的结果一致。标记变差函数显示在粗尺度上存在正自相关。本研究可能有助于森林管理规划和生态系统服务。同时,空间分布的不同研究方法也有助于提高树种空间分布和种间关联的准确性。