中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Vegetation coverage changes driven by a combination of climate change and human activities in Ethiopia, 2003-2018

文献类型:期刊论文

作者Yang, Shengjie1,2; Song, Shuai1,4; Li, Fadong3,4; Yu, Mingzhao1; Yu, Guangming2; Zhang, Qiuying5; Cui, Haotian1; Wang, Rui1; Wu, Yanqi1
刊名ECOLOGICAL INFORMATICS
出版日期2022-11-01
卷号71页码:12
关键词Fractional vegetation coverage Ethiopia Climate change Human activity Spatiotemporal dynamic
ISSN号1574-9541
DOI10.1016/j.ecoinf.2022.101776
通讯作者Song, Shuai(shuaisong@rcees.ac.cn)
英文摘要Climate change often leads to the vulnerability of vegetation cover, while the impact of human activities on vegetation cover is undoubtedly more complex in this context, especially in Ethiopia. This paper analyzed the spatiotemporal dynamics of vegetation growth in Ethiopia from 2003 to 2018 by the enhanced vegetation index (EVI) based on different time scales and explored the coefficient of variation and driving factors of the fractional vegetation coverage (FVC). The results indicated that the EVI mainly presents a "double peak" pattern, with large spatiotemporal differences between quarters and months in Ethiopia. The FVC increased by 0.0005 per year, but vegetation showed a browning trend after 2013. The FVC degraded area accounted for 43.9% of the total area, of which the significantly degraded area accounted for 7.51% due to human activities, mainly in northern, central, and southern Ethiopia. The effects of precipitation and maximum temperature on vegetation differed on time scales. Spatially, the vegetation on the northwest side of the Main Ethiopian Rift Valley (MERV) was dominated by a combination of maximum temperature and precipitation, while vegetation on the southeast side of MERV was mainly influenced by precipitation. However, the spatial overlay analysis with degraded and healthy vegetation zones revealed that human activities were the key driver of vegetation cover change rather than climate change. This study provides support for further development of vegetation health conservation policies in Ethiopia and monitoring of vegetation dynamics in other countries around the world.
WOS关键词INNER-MONGOLIA ; RIVER-BASIN ; CHINA ; NDVI ; ATTRIBUTION ; ALGORITHMS ; HIGHLANDS ; DROUGHT ; FUTURE ; INDEX
资助项目National Natural Science Foundation of China[41761144053] ; National Natural Science Foundation of China[71761147001] ; National Key Research and Development Program of China[2019YFC1407803] ; Big International Science Program of Chinese Academy of Sci- ences[121311KYSB20190029]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000848170800001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; National Key Research and Development Program of China ; Big International Science Program of Chinese Academy of Sci- ences
源URL[http://ir.igsnrr.ac.cn/handle/311030/182360]  
专题中国科学院地理科学与资源研究所
通讯作者Song, Shuai
作者单位1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
2.Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
5.Chinese Res Inst Environm Sci, Beijing 100012, Peoples R China
推荐引用方式
GB/T 7714
Yang, Shengjie,Song, Shuai,Li, Fadong,et al. Vegetation coverage changes driven by a combination of climate change and human activities in Ethiopia, 2003-2018[J]. ECOLOGICAL INFORMATICS,2022,71:12.
APA Yang, Shengjie.,Song, Shuai.,Li, Fadong.,Yu, Mingzhao.,Yu, Guangming.,...&Wu, Yanqi.(2022).Vegetation coverage changes driven by a combination of climate change and human activities in Ethiopia, 2003-2018.ECOLOGICAL INFORMATICS,71,12.
MLA Yang, Shengjie,et al."Vegetation coverage changes driven by a combination of climate change and human activities in Ethiopia, 2003-2018".ECOLOGICAL INFORMATICS 71(2022):12.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

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。