中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Shifts of the Mean Centers of Potential Vegetation Ecosystems under Future Climate Change in Eurasia

文献类型:期刊论文

作者Fan, Zemeng1,2,3; Fan, Bin1,2
刊名FORESTS
出版日期2019-10-01
卷号10期号:10页码:14
关键词potential vegetation ecosystem mean center shift scenarios climate change Eurasia
DOI10.3390/f10100873
通讯作者Fan, Zemeng(fanzm@lreis.ac.cn)
英文摘要Climate change dominantly controls the spatial distributions of potential vegetation ecosystems; the shift trends in the mean centers of potential vegetation ecosystems could be used to explain their responses to climate change. In terms of the climate observation data of Eurasia for the period from 1981 to 2010 and the climate scenario data for the period from 2011 to 2100 under the three Representative Concentration Pathways (RCPs) scenarios of RCP2.6, RCP4.5 and, RCP8.5, which were released by the Coupled Model Intercomparison Project Phase 5 (CMIP5), the Holdridge Life Zone (HLZ) ecosystem model was improved to quantitatively classify the potential vegetation types, and the shift model of mean center was adopted to compute the trends in the spatiotemporal shifts of potential vegetation types in Eurasia. The results showed that the mean centers of the major potential vegetation ecosystems would be distributed in the central and southern parts of Eurasia. Under the RCP2.6, RCP4.5, and RCP8.5 scenarios, the potential shift distances of the mean centers of the vegetation types under the RCP8.5 scenario would be the largest, and those of the polar/nival area, subpolar/alpine moist tundra, warm temperate dry forest, subtropical moist forest, cool temperate moist forest, cool temperate wet forest, subtropical wet forest, subtropical thorn woodland, warm temperate moist forest and subtropical dry forest would be larger than those in the other potential vegetation types in Eurasia. Moreover, the shift directions of the mean centers of the major potential vegetation types would generally shift northward, and subtropical dry forest, warm temperate moist forest and subpolar/alpine moist tundra would be the most sensitive to change among all vegetation types under the three scenarios for the period from 2011 to 2100.
WOS关键词MAJOR TERRESTRIAL ECOSYSTEMS ; LAND-COVER ; LIFE ZONES ; SCENARIOS ; CHINA ; RESPONSES ; PLATEAU ; DRIVEN ; GROWTH ; MODEL
资助项目National Key R&D Program of China[2017YFA0603702] ; National Key R&D Program of China[2018YFC0507202] ; Chinese Academy of Sciences[XDA20030203] ; National Natural Science Foundation[41971358] ; Innovation Project of State Key Laboratory of Resources and Environmental Information System[O88RA600YA]
WOS研究方向Forestry
语种英语
WOS记录号WOS:000498395600050
出版者MDPI
资助机构National Key R&D Program of China ; Chinese Academy of Sciences ; National Natural Science Foundation ; Innovation Project of State Key Laboratory of Resources and Environmental Information System
源URL[http://ir.igsnrr.ac.cn/handle/311030/130526]  
专题中国科学院地理科学与资源研究所
通讯作者Fan, Zemeng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714
Fan, Zemeng,Fan, Bin. Shifts of the Mean Centers of Potential Vegetation Ecosystems under Future Climate Change in Eurasia[J]. FORESTS,2019,10(10):14.
APA Fan, Zemeng,&Fan, Bin.(2019).Shifts of the Mean Centers of Potential Vegetation Ecosystems under Future Climate Change in Eurasia.FORESTS,10(10),14.
MLA Fan, Zemeng,et al."Shifts of the Mean Centers of Potential Vegetation Ecosystems under Future Climate Change in Eurasia".FORESTS 10.10(2019):14.

入库方式: OAI收割

来源:地理科学与资源研究所

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