Zhu Duo Ping, Yang Liu, Li Yong-Hua, Huang Pei, Yao Bin, Kong Zhe, Xiang Yangzhou
Institute of Ecological Conservation and Restoration Chinese Academy of Forestry Beijing China.
State Forestry Administration Dunhuang- Kumutage Desert Ecosystem Location Research Station Dunhuang China.
Ecol Evol. 2024 Nov 3;14(11):e70503. doi: 10.1002/ece3.70503. eCollection 2024 Nov.
Climate change can significantly impact the ecological suitability and diversity of species. , a critically endangered species in China, requires a thorough understanding of its habitat distribution and the environmental factors that affect it in the context of climate change. The Maxent algorithm was used to examine the key factors influencing the distribution of in China, using data from 127 species occurrences and environmental variables from the Last Interglacial (LIG), Last Glacial Maximum (LGM), Mid-Holocene (MH), current, and future scenarios. The Maxent model was optimized utilizing the R package ENMeval, providing the most accurate predictions for suitable habitats across various scenarios. Results show that suitable regions for encompass approximately 15.02% (14.42 × 10 km) of China, predominantly on the Qinghai-Tibetan Plateau. The mean UV-B of the highest month (UVB3: 39.7%), elevation (elev: 28.7%), and the warmest season of precipitation (Bio18: 17.4%) are the major limiting factors for suitable habitat. The optimal species distribution ranges are identified as > 7500 J m day for UVB3, 2700-5600 m for elev, and 150-480 mm for Bio18. Predictions for the historical climate indicate the presence of refugia at the junction of Sichuan, Tibet, and Qinghai. The MH predictions show an increase in climatic suitability for compared to the LIG and LGM, with an expansion of suitable areas westward. Future climate change scenarios indicate that the potential suitable habitat for is expected to increase with increasing radiative forcing, with higher latitude regions becoming new marginally suitable habitats. However, predicted environmental changes in western Tibet may drive the loss of highly suitable habitats in the future. These findings enhance our understanding of how environmental factors impact the habitat suitability of and provide valuable insights for developing effective management and conservation strategies for this important species.
气候变化会对物种的生态适宜性和多样性产生重大影响。 是中国的一种极度濒危物种,需要在气候变化背景下深入了解其栖息地分布及影响它的环境因素。利用最大熵(Maxent)算法,结合127个物种出现地点的数据以及末次间冰期(LIG)、末次盛冰期(LGM)、全新世中期(MH)、当前和未来情景下的环境变量,研究影响中国 分布的关键因素。利用R包ENMeval对Maxent模型进行优化,为不同情景下的适宜栖息地提供最准确的预测。结果表明, 的适宜区域约占中国的15.02%(14.42×10⁴平方千米),主要位于青藏高原。最高月平均紫外线B(UVB3:39.7%)、海拔(elev:28.7%)以及最暖季节降水量(Bio18:17.4%)是适宜栖息地的主要限制因素。UVB3的最佳物种分布范围为>7500 J m⁻² day⁻¹,elev为2700 - 5600米,Bio18为150 - 480毫米。历史气候预测表明,在四川、西藏和青海交界处存在避难所。与LIG和LGM相比,MH预测显示 的气候适宜性增加,适宜区域向西扩展。未来气候变化情景表明,随着辐射强迫增加, 的潜在适宜栖息地预计会增加,高纬度地区将成为新的边缘适宜栖息地。然而,西藏西部预测的环境变化可能导致未来高度适宜栖息地的丧失。这些发现增进了我们对环境因素如何影响 栖息地适宜性的理解,并为制定针对这一重要物种的有效管理和保护策略提供了有价值的见解。 (注:原文中未明确物种名称,用“ ”代替)