Dakhil Mohammed A, Halmy Marwa Waseem A, Hassan Walaa A, El-Keblawy Ali, Pan Kaiwen, Abdelaal Mohamed
Botany and Microbiology Department, Faculty of Science, Helwan University, Cairo 11790, Egypt.
CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China.
Biology (Basel). 2021 Jan 17;10(1):63. doi: 10.3390/biology10010063.
Climate change is an important driver of biodiversity loss and extinction of endemic montane species. In China, three endemic spp. ( var. pingii, , and ) are threatened and subjected to the risk of extinction. This study aimed to predict the potential distribution of these three species under climate change and dispersal scenarios, to identify critical drivers explaining their potential distributions, to assess the extinction risk by estimating the loss percentage in their area of occupancy (AOO), and to identify priority areas for their conservation in China. We used ensemble modeling to evaluate the impact of climate change and project AOO. Our results revealed that the projected AOOs followed a similar trend in the three species, which predicted an entire loss of their suitable habitats under both climate and dispersal scenarios. Temperature annual range and isothermality were the most critical key variables explaining the potential distribution of these three species; they contribute by 16-56.1% and 20.4-38.3%, respectively. Accounting for the use of different thresholds provides a balanced approach for species distribution models' applications in conservation assessment when the goal is to assess potential climatic suitability in new geographical areas. Therefore, south Sichuan and north Yunnan could be considered important priority conservation areas for in situ conservation and search for unknown populations of these three species.
气候变化是生物多样性丧失和特有山地物种灭绝的重要驱动因素。在中国,三种特有物种(平枝栒子变种、[此处原文缺失两种物种学名])受到威胁,面临灭绝风险。本研究旨在预测这三种物种在气候变化和扩散情景下的潜在分布,确定解释其潜在分布的关键驱动因素,通过估计其占有面积(AOO)的损失百分比来评估灭绝风险,并确定在中国进行保护的优先区域。我们使用集成模型来评估气候变化的影响并预测AOO。我们的结果表明,三种物种预测的AOO遵循相似趋势,即在气候和扩散情景下都预测其适宜栖息地将完全丧失。年温度范围和等温性是解释这三种物种潜在分布的最关键变量;它们分别贡献了16 - 56.1%和20.4 - 38.3%。当目标是评估新地理区域的潜在气候适宜性时,考虑使用不同阈值为物种分布模型在保护评估中的应用提供了一种平衡的方法。因此,四川南部和云南北部可被视为这三种物种就地保护和寻找未知种群的重要优先保护区。