Arid
DOI10.3390/su13063049
Impacts of Future Climate Changes on Spatio-Temporal Distribution of Terrestrial Ecosystems over China
Li, Shuaishuai; Zhang, Jiahua; Zhang, Sha; Bai, Yun; Cao, Dan; Cheng, Tiantian; Sun, Zhongtai; Liu, Qi; Sharma, Til Prasad Pangali
通讯作者Zhang, JH (corresponding author), Qingdao Univ, Remote Sensing Informat & Digital Earth Ctr, Coll Comp Sci & Technol, Qingdao 266071, Peoples R China. ; Zhang, JH (corresponding author), Chinese Acad Sci, Key Lab Digital Earth Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China. ; Zhang, JH (corresponding author), Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China.
来源期刊SUSTAINABILITY
EISSN2071-1050
出版年2021
卷号13期号:6
英文摘要Understanding the response of terrestrial ecosystems to future climate changes would substantially contribute to the scientific assessment of vegetation-climate interactions. Here, the spatiotemporal distribution and dynamics of vegetation in China were projected and compared based on comprehensive sequential classification system (CSCS) model under representative concentration pathway (RCP) RCP2.6, RCP4.5, and RCP8.5 scenarios, and five sensitivity levels were proposed. The results show that the CSCS model performs well in simulating vegetation distribution. The number of vegetation types would increase from 36 to 40. Frigid-perhumid rain tundra and alpine meadow are the most distributed vegetation types, with an area of more than 78.45 x 10(4) km(2), whereas there are no climate conditions suitable for tropical-extra-arid tropical desert in China. Some plants would benefit from climate changes to a certain extent. Warm temperate-arid warm temperate zone semidesert would expand by more than 1.82% by the 2080s. A continuous expansion of more than 18.81 x 10(4) km(2) and northward shift of more than 124.93 km in tropical forest would occur across all three scenarios. However, some ecosystems would experience inevitable changes. More than 1.33% of cool temperate-extra-arid temperate zone desert would continuously shrink. Five sensitivity levels present an interphase distribution. More extreme scenarios would result in wider ecosystem responses. The evolutionary trend from cold-arid vegetation to warm-wet vegetation is a prominent feature despite the variability in ecosystem responses to climate changes.
英文关键词terrestrial ecosystems potential natural vegetation (PNV) comprehensive and sequential classification system (CSCS) future climate scenarios sensitivity China
类型Article
语种英语
开放获取类型gold
收录类别SCI-E ; SSCI
WOS记录号WOS:000645711600001
WOS关键词CLASSIFICATION-SYSTEM ; POTENTIAL VEGETATION ; MODEL ; DYNAMICS ; SCENARIOS ; SENSITIVITY ; PATTERNS ; COVER ; LAI
WOS类目Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/351826
作者单位[Li, Shuaishuai; Zhang, Jiahua; Zhang, Sha; Bai, Yun; Cheng, Tiantian; Sun, Zhongtai] Qingdao Univ, Remote Sensing Informat & Digital Earth Ctr, Coll Comp Sci & Technol, Qingdao 266071, Peoples R China; [Li, Shuaishuai; Zhang, Jiahua; Zhang, Sha; Bai, Yun; Cao, Dan; Sharma, Til Prasad Pangali] Chinese Acad Sci, Key Lab Digital Earth Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China; [Zhang, Jiahua; Cao, Dan; Liu, Qi; Sharma, Til Prasad Pangali] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Li, Shuaishuai,Zhang, Jiahua,Zhang, Sha,et al. Impacts of Future Climate Changes on Spatio-Temporal Distribution of Terrestrial Ecosystems over China[J],2021,13(6).
APA Li, Shuaishuai.,Zhang, Jiahua.,Zhang, Sha.,Bai, Yun.,Cao, Dan.,...&Sharma, Til Prasad Pangali.(2021).Impacts of Future Climate Changes on Spatio-Temporal Distribution of Terrestrial Ecosystems over China.SUSTAINABILITY,13(6).
MLA Li, Shuaishuai,et al."Impacts of Future Climate Changes on Spatio-Temporal Distribution of Terrestrial Ecosystems over China".SUSTAINABILITY 13.6(2021).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Li, Shuaishuai]的文章
[Zhang, Jiahua]的文章
[Zhang, Sha]的文章
百度学术
百度学术中相似的文章
[Li, Shuaishuai]的文章
[Zhang, Jiahua]的文章
[Zhang, Sha]的文章
必应学术
必应学术中相似的文章
[Li, Shuaishuai]的文章
[Zhang, Jiahua]的文章
[Zhang, Sha]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。