Yang Wen-Song, Rong Li, Ye Tian-Mu, Wang Meng-Jie, Li Xuan, Wang Qi, Li Ting-Ting, Zeng Zhen
School of Geography and Environmental Sciences (School of Karst Science), Guizhou Normal University, Guiyang 550001, China.
Puding Karst Ecosystem Research Station, Chinese Academy of Sciences, Puding 562100, Guizhou, China.
Ying Yong Sheng Tai Xue Bao. 2022 May;33(5):1215-1222. doi: 10.13287/j.1001-9332.202205.008.
We analyzed the spatial distribution pattern and correlation of the top four dominant tree species in a 2 hm karst secondary forest plot of Tianlong Mountain in central Guizhou, using pairwise correlation function ) combined with a completely random model (CSR). The results showed that the diameter structure of trees followed an inverted J-shape, and that more trees belonged to diameter class Ⅴ (≥10 cm) driven by the dominant trees of and . presented an inverted J-shaped distribution, and the population could renew very well and was in the primary growth stage. The abundance of and increased gradually with increasing diameter class. The density of grown and large trees was far more than the young and small individuals, which indicated poor population regeneration, and the population was in the middle and late growth stages. The top dominant tree species, except , showed clustering distribution at large scale, which was decreased gradually with scale and trended to distribute randomly. The pattern was particularly prominent in the diameter class for young trees. Different diameter classes of different tree species presented diffe-rent spatial distribution patterns which influenced by many factors. In terms of interspecific associations, the four dominant tree species showed negative or no associations. The higher importance value of tree species, the lower the degree of association with other dominant species. The two negative correlation tree species had the lowest degree of correlation at small scale. With the increase of spatial scale, the degree of negative correlation decreased gradually, and tended to be no correlation.
我们运用成对相关函数结合完全随机模型(CSR),对贵州中部天龙山2公顷喀斯特次生林样地中四种优势树种的空间分布格局及相关性进行了分析。结果表明,树木的直径结构呈倒J形,且更多树木属于Ⅴ径级(≥10厘米),这是由[树种1]和[树种2]的优势木驱动的。[树种1]呈现倒J形分布,种群更新良好,处于生长初期。[树种2]和[树种3]的多度随径级增加而逐渐增加。成年大树的密度远高于幼树和小树,这表明种群更新较差,种群处于生长中后期。除[树种4]外,优势度最高的树种在大尺度上呈聚集分布,随尺度增大逐渐减弱并趋于随机分布。这种格局在小树径级中尤为突出。不同树种的不同径级呈现出受多种因素影响的不同空间分布格局。在种间关联方面,四种优势树种呈现负关联或无关联。树种的重要值越高,与其他优势种的关联程度越低。两个呈负相关的树种在小尺度上的关联程度最低。随着空间尺度的增加,负相关程度逐渐降低,趋于无关联。