GUAN Xin-yi
Guangxi Key Laboratory of Forest Ecology and Conservation, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources;College of Forestry, Guangxi University, Nanning 530004, ChinaSHI Wei
Guangxi Key Laboratory of Forest Ecology and Conservation, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources;College of Forestry, Guangxi University, Nanning 530004, ChinaCAO Kun-fang
Guangxi Key Laboratory of Forest Ecology and Conservation, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources;College of Forestry, Guangxi University, Nanning 530004, ChinaTo understand the potential distribution characteristics of Quercus acutissima and its response to future climatic change, the Maxent model was used to simulate potential distribution under present climatic condition, and predict changes in its distribution under different greenhouse gas emission scenarios in future, and major factors affecting its distribution were analyzed. The results showed that Maxent had relatively good predicting ability for the distribution of Q. acutissima with AUC value more than 0.95. Under the current climatic condition, Q. acutissima could be widely distributed in southern China and some provinces of northern China, such as Shannxi, Henan, Shanxi, Gansu, Beijing and Liaoning, as well as Japan, Korea peninsula, Laos, Vietnam, Myanmar, Nepal, Bhutan, India, Pakistan, with a total suitable area about 11.57×105km2. Under future climate scenarios of RCP2.6 and RCP8.5, the suitable area of Q. acutissima predicted by Maxent model will expand northward and southwestward, increasing ca. (2.49~3.02)×105km2;the loss of suitable area mainly occurred in southern Guangdong and Guangxi Provinces and eastern Myanmar. The dominant factors influencing the distribution of Q. acutissima were precipitation of the warmest quarter, isothermality, minimum temperature of the coldest month, mean temperature of the driest quarter, with contribution rates of 54.2%, 13.7%, 8.8%, 7.8%, respectively. These would provide a reference for studying the cultivation and conservation of Q. acutissima.
关心怡,石慰,曹坤芳.未来气候变化对广布种麻栎地理分布的影响和主导气候因子分析[J].热带亚热带植物学报,2018,26(6):661~668
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