He Mengyao, Ma Fanyan, Ding Junjie, Niu Panxin, Luo Cunkai, Wang Mei, Jiang Ping
College of Agriculture, Shihezi University, Shihezi 832003, China.
Xinjiang Yuli Desert Ecosystem Observation and Research Station, Yuli 841500, China.
Plants (Basel). 2025 May 31;14(11):1682. doi: 10.3390/plants14111682.
L. is an ecologically and medicinally significant species widely distributed across Eurasia, the suitable habitat of subsp. (is hereinafter referred to as ) is concentrated in Northwest and Southwest China (approximately 34-40° N, 100-115° E). subsp. (hereinafter referred to as ) is mainly distributed in the Hengduan Mountains and surrounding areas (approximately 25-30° N, 98-103° E). subsp. (hereinafter referred to as ) is native to Central Asia to Siberia and is mainly distributed in Northern Xinjiang and Western Inner Mongolia in China (approximately 40-50° N, 100-120° E). subsp. (hereinafter referred to as ) is mainly distributed in Western Xinjiang (approximately 40-45° N, 70-85° E). Climate change poses a considerable challenge, affecting its distribution and leading to shifts in its habitat ranges. This study applies the MaxEnt model to assess climate-driven distribution patterns of species in China, and predicts current and future suitable habitats under climate change scenarios. This study employs the MaxEnt model and ArcGIS to simulate the potential distribution of four subspecies of during the current period and future projections under scenarios SSP1-2.6 and SSP5-8.5. The analysis reveals that the distributions of , , , and are influenced primarily by climate variables such as temperature and precipitation, while is predominantly restricted by altitude. Future projections indicate that under the extreme climate of SSP5-8.5, centroid migration will be disrupted; specifically, is expected to migrate northeast or oscillate, will expand southwest but be limited by desert steppe zones, and may face risks associated with groundwater depletion. This study advocates for integrating climate, ecological, and genetic data into conservation planning, with an emphasis on groundwater restoration and exploring genetic resources for stress resilience. The insights offered here contribute significantly to understanding climate adaptation mechanisms in arid and mountainous ecosystems and guide biodiversity conservation efforts.
L. 是一种在生态和药用方面具有重要意义的物种,广泛分布于欧亚大陆。亚种(以下简称 )的适宜栖息地集中在中国西北和西南地区(约北纬34 - 40°,东经100 - 115°)。亚种(以下简称 )主要分布在横断山脉及周边地区(约北纬25 - 30°,东经98 - 103°)。亚种(以下简称 )原产于中亚至西伯利亚,在中国主要分布于新疆北部和内蒙古西部(约北纬40 - 50°,东经100 - 120°)。亚种(以下简称 )主要分布在新疆西部(约北纬40 - 45°,东经70 - 85°)。气候变化带来了相当大的挑战,影响其分布并导致栖息地范围发生变化。本研究应用MaxEnt模型评估中国该物种受气候驱动的分布模式,并预测气候变化情景下当前和未来的适宜栖息地。本研究采用MaxEnt模型和ArcGIS来模拟当前时期以及SSP1 - 2.6和SSP5 - 8.5情景下未来预测中该物种四个亚种的潜在分布。分析表明,、、、的分布主要受温度和降水等气候变量影响,而主要受海拔限制。未来预测表明,在SSP5 - 8.5的极端气候下,质心迁移将受到干扰;具体而言,预计将向东北迁移或振荡,将向西南扩展但受荒漠草原带限制,可能面临与地下水枯竭相关的风险。本研究主张将气候、生态和遗传数据纳入保护规划,重点是恢复地下水并探索抗逆遗传资源。这里提供的见解对理解干旱和山区生态系统中的气候适应机制有很大贡献,并指导生物多样性保护工作。