IGSNRR OpenIR
Spatio-Temporal Analysis of Vegetation Dynamics as a Response to Climate Variability and Drought Patterns in the Semiarid Region, Eritrea
Measho, Simon1,2,3; Chen, Baozhang1,2,4; Trisurat, Yongyut5; Pellikka, Petri6,7; Guo, Lifeng1,2; Arunyawat, Sunsanee8; Tuankrua, Venus9; Ogbazghi, Woldeselassie10; Yemane, Tecle11
2019-03-02
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume11Issue:6Pages:23
Corresponding AuthorChen, Baozhang(baozhang.chen@igsnrr.ac.cn)
AbstractThere is a growing concern over change in vegetation dynamics and drought patterns with the increasing climate variability and warming trends in Africa, particularly in the semiarid regions of East Africa. Here, several geospatial techniques and datasets were used to analyze the spatio-temporal vegetation dynamics in response to climate (precipitation and temperature) and drought in Eritrea from 2000 to 2017. A pixel-based trend analysis was performed, and a Pearson correlation coefficient was computed between vegetation indices and climate variables. In addition, vegetation condition index (VCI) and standard precipitation index (SPI) classifications were used to assess drought patterns in the country. The results demonstrated that there was a decreasing NDVI (Normalized Difference Vegetation Index) slope at both annual and seasonal time scales. In the study area, 57.1% of the pixels showed a decreasing annual NDVI trend, while the significance was higher in South-Western Eritrea. In most of the agro-ecological zones, the shrublands and croplands showed decreasing NDVI trends. About 87.16% of the study area had a positive correlation between growing season NDVI and precipitation (39.34%, p < 0.05). The Gash Barka region of the country showed the strongest and most significant correlations between NDVI and precipitation values. The specific drought assessments based on VCI and SPI summarized that Eritrea had been exposed to recurrent droughts of moderate to extreme conditions during the last 18 years. Based on the correlation analysis and drought patterns, this study confirms that low precipitation was mainly attributed to the slowly declining vegetation trends and increased drought conditions in the semi-arid region. Therefore, immediate action is needed to minimize the negative impact of climate variability and increasing aridity in vegetation and ecosystem services.
Keywordvegetation dynamics climate variability NDVI drought VCI precipitation temperature SPI
DOI10.3390/rs11060724
WOS KeywordREMOTE-SENSING DATA ; ENVIRONMENTAL-FACTORS ; TIME-SERIES ; TEMPERATURE ; EVENTS ; TRENDS ; INDEX
Indexed BySCI
Language英语
Funding ProjectStrategic Priority Research Program of Chinese Academy of Sciences[XDA 20030302] ; State Key Laboratory of Resources and Environment Information System[O88RA901YA] ; National Key R&D Program of China[2017YFA0604301] ; National Key R&D Program of China[2017YFA0604302] ; National Key R&D Program of China[2018YFA0606001] ; National Key R&D Program of China[2017YFC0503904] ; National Natural Science Foundation of China[41771114] ; Chinese Government Scholarship ; University of Chinese Academy of Sciences
Funding OrganizationStrategic Priority Research Program of Chinese Academy of Sciences ; State Key Laboratory of Resources and Environment Information System ; National Key R&D Program of China ; National Natural Science Foundation of China ; Chinese Government Scholarship ; University of Chinese Academy of Sciences
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000465615300082
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/59754
Collection中国科学院地理科学与资源研究所
Corresponding AuthorChen, Baozhang
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
3.Hamelamalo Agr Coll, Natl Commiss Higher Educ, Keren 397, Eritrea
4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
5.Kasetsart Univ, Fac Forestry, Bangkok 10900, Thailand
6.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 1000875, Peoples R China
7.Univ Helsinki, Dept Geosci & Geog, Earth Change Observat Lab, FI-00014 Helsinki, Finland
8.Minist Agr & Cooperat, Land Dev Dept, Off Land Use Planning & Policy, Bangkok 10900, Thailand
9.Kasetsart Univ, Fac Forestry, Dept Conservat, 50 Ngamwongwan Rd, Bangkok 10900, Thailand
10.Hamelmalo Agr Coll, Dept Land Resource & Environm, Keren 397, Eritrea
11.Minist Land Water & Environm, Water Resource Dept, Asmera 25387, Eritrea
Recommended Citation
GB/T 7714
Measho, Simon,Chen, Baozhang,Trisurat, Yongyut,et al. Spatio-Temporal Analysis of Vegetation Dynamics as a Response to Climate Variability and Drought Patterns in the Semiarid Region, Eritrea[J]. REMOTE SENSING,2019,11(6):23.
APA Measho, Simon.,Chen, Baozhang.,Trisurat, Yongyut.,Pellikka, Petri.,Guo, Lifeng.,...&Yemane, Tecle.(2019).Spatio-Temporal Analysis of Vegetation Dynamics as a Response to Climate Variability and Drought Patterns in the Semiarid Region, Eritrea.REMOTE SENSING,11(6),23.
MLA Measho, Simon,et al."Spatio-Temporal Analysis of Vegetation Dynamics as a Response to Climate Variability and Drought Patterns in the Semiarid Region, Eritrea".REMOTE SENSING 11.6(2019):23.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Measho, Simon]'s Articles
[Chen, Baozhang]'s Articles
[Trisurat, Yongyut]'s Articles
Baidu academic
Similar articles in Baidu academic
[Measho, Simon]'s Articles
[Chen, Baozhang]'s Articles
[Trisurat, Yongyut]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Measho, Simon]'s Articles
[Chen, Baozhang]'s Articles
[Trisurat, Yongyut]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.