Wang Jun-Wei, Xu Min, Ngawang Norbu, Chen Yonghao, Bonjor Ngawang, Jia Xiaoyan, Zeng Zhefei, Qiong La
Key Laboratory of Biodiversity and Environment on the Qinghai-Tibetan Plateau, Ministry of Education, School of Ecology and Environment, Tibet University, Lhasa, Xizang, China.
Yani Observation and Research Station for Wetland Ecosystem, Tibet University, Nyingchi, Xizang, China.
Front Plant Sci. 2025 Jun 3;16:1560603. doi: 10.3389/fpls.2025.1560603. eCollection 2025.
, an important Tibetan medicinal plant, has garnered significant attention due to its remarkable medicinal value and ecological functions. However, overharvesting and climate change have progressively reduced its distribution range, threatening its survival.
This study employed an optimized MaxEnt model, integrating field survey data and multiple environmental variables, to predict and analyze the potential suitable distribution of in Tibet.
The model achieved high predictive accuracy, with Ture skill statistic (TSS) = 0.87 and Cohen's Kappa Coefficient (Kappa) = 0.81. Under current climatic conditions, the suitable habitat area of is 33.31×10 km², primarily distributed in alpine meadows and sparse shrublands in regions such as Lhasa, Nyingchi, Qamdo, Shannan, and eastern Nagqu. Analysis of key environmental factors revealed that land cover type (30.7%), temperature seasonality (19.9%), and vegetation type (10.2%) are the most significant drivers influencing the distribution of . Under future climate change scenarios, the distribution of suitable habitats exhibits notable dynamic trends. In the low-emission scenario (SSP126), the suitable habitat area shows an overall expansion. In contrast, under medium- and high-emission scenarios (SSP245 and SSP585), the suitable habitat area gradually shrinks. The distribution centers consistently migrate northwestward, with the longest migration distance observed under SSP585 (89.55 km).
This study identifies the critical driving factors for the distribution of and elucidates its response patterns to climate change. These findings provide a theoretical foundation for the resource management, ecological conservation, and sustainable utilization of Tibetan medicinal plants while offering valuable references for the study of other alpine plants.
作为一种重要的藏药植物,因其显著的药用价值和生态功能而备受关注。然而,过度采挖和气候变化使其分布范围逐渐缩小,生存受到威胁。
本研究采用优化的MaxEnt模型,结合实地调查数据和多个环境变量,对西藏某植物的潜在适宜分布进行预测和分析。
该模型具有较高的预测精度,真实技能统计量(TSS)=0.87,科恩卡帕系数(Kappa)=0.81。在当前气候条件下,该植物适宜生境面积为33.31×10平方千米,主要分布在拉萨、林芝、昌都、山南和那曲东部等地的高寒草甸和稀疏灌丛中。关键环境因子分析表明,土地覆盖类型(30.7%)、温度季节性(19.9%)和植被类型(10.2%)是影响该植物分布的最重要驱动因素。在未来气候变化情景下,适宜生境分布呈现显著动态趋势。在低排放情景(SSP126)下,适宜生境面积总体呈扩张趋势。相反,在中高排放情景(SSP245和SSP585)下,适宜生境面积逐渐缩小。分布中心持续向西北方向迁移,在SSP585情景下迁移距离最长(89.55千米)。
本研究确定了影响该植物分布的关键驱动因素,阐明了其对气候变化的响应模式。这些发现为藏药植物的资源管理、生态保护和可持续利用提供了理论基础,同时为其他高山植物的研究提供了有价值的参考。