气候变化驱动下的欧亚大陆土地覆盖情景模拟

作     者：范泽孟 白茹玉 岳天祥 FAN Zemeng;BAI Ruyu;YUE Tianxiang

作者机构：State Key Laboratory of Resources and Environment Information SystemInstitute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China University of Chinese Academy of SciencesBeijing 100049China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and ApplicationNanjing 210023China 

出 版 物：《Journal of Geographical Sciences》 (地理学报（英文版）)

年 卷 期：2020年第30卷第1期

页      面：3-17页

核心收录：

学科分类：0709[理学-地质学] 07[理学] 0706[理学-大气科学] 0704[理学-天文学] 

基　　金：National Key R&D Program of China,No.2017YFA0603702,No.2018YFC0507200 National Natural Science Foundation of China,No.41421001,No.41271406 Innovation Project of LREIS,N0.O88RA6OOYA。 

主　　题：SMLCS climate change land cover scenarios Eurasia 

摘      要：The method for surface modelling of land cover scenarios(SMLCS)has been improved to simulate the scenarios of land cover in Eurasia.On the basis of the observation monthly climatic data observed from 2127 weather stations in Eurasia during 1981-2010,the climatic scenarios data of RCP26,RCP45 and RCP85 scenarios released by CMIP5,and the land cover current data of Eurasia in 2010,the land cover scenarios of Eurasia were respectively simulated.The results show that most land cover types would generally have similar changing trends in the future,but with some difference in different periods under the three scenarios of RCP26,RCP45 and RCP85.Deciduous needleleaf forest,mixed forest,shrub land,wetlands and snow and ice would generally decrease in Eurasia during 2010-2100.Snow and ice would have the fastest decreasing rate that would decrease by 37.42%on average.Shrub land would have the slowest decreasing rate that would decrease by 5.65%on average.Water bodies would have the fastest increasing rate that would increase by 28.78%on average.Barren or sparsely vegetated land would have the slowest increasing rate that would increase by 0.76%.Moreover,the simulated results show that climate change would directly impact on land cover change in Eurasia.