He Xinrui, Yin Fan, Arif Muhammad, Zheng Jie, Chen Yangyi, Geng Qianwen, Ni Xilu, Li Changxiao
Key Laboratory of Eco-Environments in Three Gorges Reservoir Region (Ministry of Education), Chongqing Key Laboratory of Plant Ecology and Resources Research in Three Gorges Reservoir Region, School of Life Sciences, Southwest University, Chongqing 400715, China.
Biological Science Research Center, Academy for Advanced Interdisciplinary Studies, Southwest University, Chongqing 400715, China.
Plants (Basel). 2024 Oct 12;13(20):2858. doi: 10.3390/plants13202858.
Quantitative classification and ordination are instrumental in improving our understanding of plant community patterns and facilitating effective conservation efforts in national mountain ecosystems worldwide. However, there has been a lack of relevant research focused on arid and semi-arid mountain ecosystems. This study aims to address this gap by investigating the Ningxia Helan Mountain National Nature Reserve (located in Northwest China). We conducted a comprehensive study on the patterns of plant communities and their association with environmental factors across a broad elevation range from 1200 m a.s.l. to 2600 m a.s.l. Our findings revealed the presence of 121 angiosperm species across 41 families, with vegetation classified into six distinct groups through two-way indicator species analysis (TWINSPAN) along the elevational gradient. Notably, the communities of , , and in the middle elevation range exhibited the highest Shannon-Wiener (SW) and Simpson (SN) diversity indices, and these indices followed a single-peak pattern with increasing elevation. Canonical correspondence analysis (CCA) further revealed six distinct yet interrelated plant communities, revealing elevation (ELE) and the biological aridity index (BK) as the most influential environmental factors influencing plant communities' distribution. This understanding is critically important for biodiversity conservation and the management of ecosystems in arid and semi-arid mountain ecosystems.
定量分类和排序有助于增进我们对植物群落模式的理解,并推动全球范围内国家山地生态系统的有效保护工作。然而,针对干旱和半干旱山地生态系统的相关研究一直较为匮乏。本研究旨在通过对宁夏贺兰山国家级自然保护区(位于中国西北部)展开调查来填补这一空白。我们对海拔从1200米至2600米的广泛范围内的植物群落模式及其与环境因素的关联进行了全面研究。我们的研究结果显示,共有41科121种被子植物,通过双向指示种分析(TWINSPAN)沿着海拔梯度将植被划分为六个不同的组。值得注意的是,中海拔范围内的 、 和 的群落表现出最高的香农 - 维纳(SW)和辛普森(SN)多样性指数,并且这些指数随着海拔升高呈现单峰模式。典范对应分析(CCA)进一步揭示了六个不同但相互关联的植物群落,表明海拔(ELE)和生物干旱指数(BK)是影响植物群落分布的最具影响力的环境因素。这一认识对于干旱和半干旱山地生态系统中的生物多样性保护和生态系统管理至关重要。