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Soil Drought and Vegetation Response during 2001–2015 in North China Based on GLDAS and MODIS Data
Joint Authors
Yang, Siyao
Meng, Dan
Gong, Huili
Li, Xiaojuan
Wu, Xinling
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-26
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Drought is a natural disaster caused by long-term water deficit.
Because the growth of crops and vegetation is closely related to soil moisture environment, it is of great significance to study the soil drought and vegetation response.
In this paper, the soil moisture availability index (SMAI) was developed for quantifying soil drought conditions.
The effectiveness and the ability of SMAI to recognize drought events were analyzed, while the vegetation condition index (VCI) was used to characterize the vegetation status.
Temporal and spatial variations of soil drought and vegetation condition as well as the impacts of drought on vegetation in North China during 2001–2015 were comprehensively examined.
We firstly concluded that SMAI related well with standardized precipitation evapotranspiration index (SPEI), and drought events can be detected by SMAI.
Next, the mean value of SMAI in North China showed a decreasing trend in recent 15 years.
Finally, the SMAI positively correlated with VCI in most areas of North China, and the response of four types of vegetation to SMAI differed over time.
The results of SMAI on vegetation would assist drought research and application in North China.
American Psychological Association (APA)
Yang, Siyao& Meng, Dan& Gong, Huili& Li, Xiaojuan& Wu, Xinling. 2018. Soil Drought and Vegetation Response during 2001–2015 in North China Based on GLDAS and MODIS Data. Advances in Meteorology،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1118635
Modern Language Association (MLA)
Yang, Siyao…[et al.]. Soil Drought and Vegetation Response during 2001–2015 in North China Based on GLDAS and MODIS Data. Advances in Meteorology No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1118635
American Medical Association (AMA)
Yang, Siyao& Meng, Dan& Gong, Huili& Li, Xiaojuan& Wu, Xinling. Soil Drought and Vegetation Response during 2001–2015 in North China Based on GLDAS and MODIS Data. Advances in Meteorology. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1118635
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118635