Shi You-Cai, Chen Qing, Du Min-Rui, Xiao Shu-Li, Li Shuai-Feng, Wang Xiao-Fan, Li Qiao, Tang Cindy Q
College of Ecology and Environmental Science, Yunnan University, Building #3, Guozhong Dalou, Chenggong Campus, Dongwaihuan South Road, University Town, Chenggong New District, Kunming 650504, China.
Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming 650224, China.
Plants (Basel). 2025 Sep 3;14(17):2754. doi: 10.3390/plants14172754.
, a genus shaped by long-term climatic and geological processes, thrives in Yunnan but its community structure and future habitat dynamics remain poorly understood. We investigated community composition, phylogenetic diversity, population structure, and projected suitable future habitats using MaxEnt modeling. Seven distinct community types were identified, all dominated by species. They were characterized by low species richness, strong dominance patterns, and uneven species distribution. Most communities displayed a multi-layered vertical structure, except Type 6. Phylogenetic analyses revealed overdispersion (NRI < 0) in most communities, indicating habitat filtering as the primary assembly process, while Type 2 (NTI > 0) comprised more closely related species, potentially due to external disturbance. Population structures varied: var. exhibited an inverse J-shaped DBH distribution, and had unimodal patterns, and other species showed multimodal distributions. Climate projections forecast a 4.5-41.9% loss of suitable habitat, with current nature reserves covering only 13.6-35.1% of stable refugia, highlighting the need for targeted conservation. These findings provide an essential basis for the conservation, afforestation, and restoration of -dominated ecosystems in Yunnan.
[属名]是一个由长期气候和地质过程塑造的属,在云南蓬勃发展,但其群落结构和未来栖息地动态仍知之甚少。我们使用最大熵模型研究了群落组成、系统发育多样性、种群结构,并预测了未来适宜的栖息地。确定了七种不同的群落类型,均以[物种名]为主导。它们的特点是物种丰富度低、优势模式强、物种分布不均。除了类型6,大多数群落呈现出多层垂直结构。系统发育分析表明,大多数群落存在过分散现象(NRI < 0),表明栖息地过滤是主要的组装过程,而类型2(NTI > 0)包含更多亲缘关系较近的物种,这可能是由于外部干扰。种群结构各不相同:[变种名]呈现出倒J形的胸径分布,[物种名1]和[物种名2]具有单峰模式,其他物种呈现多峰分布。气候预测表明,适宜栖息地将损失4.5 - 41.9%,而目前的自然保护区仅覆盖稳定避难所的13.6 - 35.1%,这凸显了针对性保护的必要性。这些发现为云南以[属名]为主导的生态系统的保护、造林和恢复提供了重要依据。