NDLI: Index-based assessment of agricultural drought in a semi-arid region of Inner Mongolia, China

Content Provider	Springer Nature Link
Author	Tsubo, Mitsuru Li, Rui Tsunekawa, Atsushi
Copyright Year	2014
Abstract	Agricultural drought is a type of natural disaster that seriously impacts food security. Because the relationships among short-term rainfall, soil moisture, and crop growth are complex, accurate identification of a drought situation is difficult. In this study, using a conceptual model based on the relationship between water deficit and crop yield reduction, we evaluated the drought process in a typical rainfed agricultural region, Hailar county in Inner Mongolia autonomous region, China. To quantify drought, we used the precipitation-based Standardized Precipitation Index (SPI), the soil moisture-based Crop Moisture Index (CMI), as well as the Normalized Difference Vegetation Index (NDVI). Correlation analysis was conducted to examine the relationships between dekad-scale drought indices during the growing season (May-September) and final yield, according to data collection from 2000 to 2010. The results show that crop yield has positive relationships with CMI from mid-June to mid-July and with the NDVI anomaly throughout July, but no correlation with SPI. Further analysis of the relationship between the two drought indices shows that the NDVI anomaly responds to CMI with a lag of 1 dekad, particularly in July. To examine the feasibility of employing these indices for monitoring the drought process at a dekad time scale, a detailed drought assessment was carried out for selected drought years. The results confirm that the soil moisture-based vegetation indices in the late vegetative to early reproductive growth stages can be used to detect agricultural drought in the study area. Therefore, the framework of the conceptual model developed for drought monitoring can be employed to support drought mitigation in the rainfed agricultural region of Northern China.
Starting Page	3
Ending Page	15
Page Count	13
File Format	PDF
ISSN	16746767
Journal	Journal of Arid Land
Volume Number	6
Issue Number	1
e-ISSN	21947783
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-08-02
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	drought index dekad time scale rainfed agriculture drought assessment Sustainable Development Physical Geography Plant Ecology
Content Type	Text
Resource Type	Article
Subject	Earth-Surface Processes Water Science and Technology Management, Monitoring, Policy and Law

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