Leaf functional trait variation and environmental filtering across hierarchical levels in complex karst peak–depression landscapes

作者：Ruixia Ma, Chen Chen, Fuzhao Huang, Lingyan Li, Wusheng Xiang, Bin Wang, Dongxing Li, Fang Lü, Xiankun Li, Tao Ding, Yili Guo · 发表于：Tree Physiology · 年份：2025 · DOI：10.1093/treephys/tpaf156 · 被引用次数：2 · 研究领域：Plant Water Relations and Carbon Dynamics、Ecology and Vegetation Dynamics Studies、Remote Sensing in Agriculture

The karst peak-cluster depression landscape is characterized by pronounced topographic and edaphic heterogeneity, resulting in a high degree of spatial variability in resource availability. Such a complex environmental mosaic influences plant functional traits and their adaptive strategies. However, the patterns of trait variation and their underlying environmental drivers in karst peak-cluster depressions remain poorly understood. In this study, we investigated a 15-ha forest dynamics plot in the Nonggang Nature Reserve, Guangxi. We used linear mixed models to partition variance, principal component analysis to examine trait covariation, and redundancy analysis combined with hierarchical partitioning to evaluate the effects of topographic and edaphic factors on leaf functional traits at the community, species and intraspecific levels. The results showed that trait variation was mainly driven by interspecific differences, with part of the variation attributable to evolutionary history. Morphological traits and physiological traits exhibited relatively higher intraspecific and interspecific variation, respectively. The trait covariation patterns revealed that several leaf chemical traits exhibited atypical modes of coordinated variation. The explanatory power of topographic and edaphic factors for trait variation differed among ecological levels, being highest at the species level, followed by the community and intraspecific levels. Among these, the soil carbon-to-nitrogen rat...