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全球气候变化下贵州省青冈林的潜在生境动态
引用本文:李望军,冯图,崔涛,杨婧,周瑞伍,陈丽,彭明春.全球气候变化下贵州省青冈林的潜在生境动态[J].热带亚热带植物学报,2020,28(2):145-152.
作者姓名:李望军  冯图  崔涛  杨婧  周瑞伍  陈丽  彭明春
作者单位:贵州工程应用技术学院生态工程学院, 贵州 毕节 551700,贵州工程应用技术学院生态工程学院, 贵州 毕节 551700,威宁县林业局, 贵州 毕节 553100,贵州工程应用技术学院生态工程学院, 贵州 毕节 551700,中国科学院西双版纳热带植物园热带森林生态学重点实验室, 云南 勐腊 6663032,贵州工程应用技术学院生态工程学院, 贵州 毕节 551700,云南大学生态学与地植物学研究所, 昆明 650091
基金项目:贵州省重点学科生态学项目(ZDXK[2013]11);贵州省教育厅青年科技人才成长项目(KY[2018]394,KY[2018]399);国家级大学生创新创业训练计划项目(201810668031);贵州工程应用技术学院高层次人才科研启动基金项目(G2018006)资助
摘    要:为了解贵州省青冈林在全球气候变化下的潜在分布特征,基于现状分布数据,结合当前气候数据和未来气候变化情景(RCP8.5情景,2070-2099年)构建Maxent潜在分布模型,预测贵州省青冈林的潜在分布变化。结果表明,最冷季均温(bio11)、最冷月最低温度(bio6)和年均降水量(bio12)为控制贵州省青冈林潜在生境的主导气候因子;RCP8.5情景下贵州省青冈林的潜在分布面积相较当前气候条件增加,中度适宜生境增加19 419 km2,高度适宜生境增加9 944 km2;中度适宜生境平均海拔较当前气候条件上升126 m,高度适宜生境平均上升85 m。总的来说,贵州省青冈林对全球气候变化的响应不十分敏感。

关 键 词:全球气候变化  Maxent模型  青冈林  潜在生境
收稿时间:2019/9/23 0:00:00
修稿时间:2019/12/3 0:00:00

Dynamics of Potential Distribution of Cyclobalanopsis Forest in Guizhou Province of China under Global Climate Change
LI Wang-jun,FENG Tu,CUI Tao,YANG Jing,ZHOU Rui-wu,CHEN Li and PENG Ming-chun.Dynamics of Potential Distribution of Cyclobalanopsis Forest in Guizhou Province of China under Global Climate Change[J].Journal of Tropical and Subtropical Botany,2020,28(2):145-152.
Authors:LI Wang-jun  FENG Tu  CUI Tao  YANG Jing  ZHOU Rui-wu  CHEN Li and PENG Ming-chun
Institution:School of Ecological Engineering, Guizhou University of Engineering Science, Bijie 551700, Guizhou, China,School of Ecological Engineering, Guizhou University of Engineering Science, Bijie 551700, Guizhou, China,Forestry Bureau of Weining County, Bijie 5513100, Guizhou, China,School of Ecological Engineering, Guizhou University of Engineering Science, Bijie 551700, Guizhou, China,Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun 666303, Yunnan, China,School of Ecological Engineering, Guizhou University of Engineering Science, Bijie 551700, Guizhou, China and Institute of Ecology and Geobotany, Yunnan University, Kunming 650091, China
Abstract:In order to understand the potential distribution characters of Cyclobalanopsis forest in Guizhou Province, based on the current distribution data, and combined with current climate data and future climate change scenario (RCP8.5 scenario, 2070-2099), the Maxent potential distribution modeling was established to predict the changes of potential distribution of Cyclobalanopsis forest in Guizhou Province. The results showed that the dominant climatic factors affecting its potential distribution were mean temperature of the coldest quarter (bio11), min. temperature of the coldest month (bio6) and annual precipitation (bio12). Under the RCP8.5 scenario, potential habitat area of Cyclobalanopsis forest in Guizhou would increase than that under current climatic conditions, there were 19 419 km2 for moderate suitable habitat and 9 944 km2 for high suitable habitat, respectively. The mean altitude of moderate suitable habitat would increase 126 m, and 85 m for high suitable habitat. In general, Cyclobalanopsis forest in Guizhou Province wouldn''t be sensitive to the global climate change.
Keywords:Global climate change  Maxent model  Cyclobalanopsis forest  Potential habitat
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