Yan En-Rong, Zhou Liu-Li, Chen Han Y H, Wang Xi-Hua, Liu Xiang-Yu
Forest Ecosystem Research and Observation Station in Putuo Island, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China.
Tiantong National Station for Forest Ecosystem Research, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China.
Oecologia. 2018 Mar;186(3):793-803. doi: 10.1007/s00442-017-4042-x. Epub 2018 Jan 17.
The importance of intraspecific trait variability (ITV) to the spatial distribution of individual species is unclear. We hypothesized that intraspecific trait dispersions underlying niche processes deviate more from null model expectations, by reducing their spread (range and variance), kurtosis, and standard deviation of near-neighbor distance, for species with aggregated than those with random distributions. The link between species' spatial distributions and ITV patterns was examined using an individual tree-based trait data set, in which specific leaf area, mean leaf area, leaf dry matter content, and diameter at breast height were measured for 18,773 stems of 45 species in a 4.84 ha mapped subtropical forest plot in China. The nearest-neighbor distance analysis showed that, of 45 species, 14 species were distributed in random and 31 species were distributed in aggregation, while no species was distributed in uniform in the plot. The dispersions of all studied traits in species with an aggregated distribution on average deviated more strongly from the null expectation than those in species with a random distribution and that the extent of deviation was negatively associated with the degree of spatial randomness across species. Our results indicate that niche processes are primarily responsible for the spatial structure of species with aggregated distributions, while stochastic processes drive those with random distributions. Our results highlight the fundamental role of ITV in shaping spatial patterns of co-existing species.
种内性状变异(ITV)对单个物种空间分布的重要性尚不清楚。我们假设,对于聚集分布的物种而言,生态位过程背后的种内性状离散度比随机分布的物种更偏离零模型预期,具体表现为减少其扩散程度(范围和方差)、峰度以及最近邻距离的标准差。利用基于单株树木的性状数据集,研究了物种空间分布与ITV模式之间的联系,该数据集中测量了中国一个面积为4.84公顷的亚热带森林样地中45个物种的18773株树木的比叶面积、平均叶面积、叶片干物质含量和胸径。最近邻距离分析表明,在45个物种中,14个物种呈随机分布,31个物种呈聚集分布,样地中没有物种呈均匀分布。平均而言,聚集分布物种的所有研究性状的离散度比随机分布物种更强烈地偏离零预期,并且偏离程度与物种间空间随机性程度呈负相关。我们的结果表明,生态位过程是聚集分布物种空间结构的主要原因,而随机过程则驱动随机分布的物种。我们的结果突出了ITV在塑造共存物种空间格局中的重要作用。