Spatiotemporal analysis of agricultural drought and its relationship with climate variabilities in the growing season of the Horn of Africa

This study investigates agricultural drought dynamics in the Horn of Africa (HoA) during the June–August growing seasons from 1995 to 2020. Using MODIS and GIMMS NDVI3g data, we derived the Vegetation Condition Index (VCI) to quantify patterns and identify climatic drivers. To delineate persistent drought vulnerability hotspots, we integrated temperature, precipitation, and VCI data, supplemented by satellite-derived soil moisture data, with a season-specific Weighted Overlay Index (WOI). Results revealed significant interannual variability in growing-season conditions, with widespread greenness in 1997–1998 contrasting with severe droughts in 2004, 2009, and 2011, the latter affecting up to 27.3% of the region. Drought hotspots were identified across northern Kenya, eastern Ethiopia, and central Somalia. Trend analysis indicates an increase in extreme and severe drought from 1995 to 2011, followed by partial contraction, though baseline drought exposure remains elevated. Climate data reveals significant spatial variability in precipitation and temperature, with a strong positive correlation between VCI and precipitation ( R 2 = 0.73) and a negative correlation with temperature ( R 2 = −0.74). Vulnerability assessment highlights western Ethiopia as highly vulnerable. Correlation analysis between VCI and detrended maize yield showed positive relationships, strongest in Ethiopia ( R = 0.353) and Kenya ( R = 0.415), validating VCI as an indicator of drought impact on crop performance. The findings underscore increasing drought frequency and the need for climate-resilient agricultural planning in the HoA.

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Publication Details

Journal
Frontiers in Climate
Published
2026-01-26
DOI
https://doi.org/10.3389/fclim.2025.1719715
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Spatiotemporal analysis of agricultural drought and its relationship with climate variabilities in the growing season of the Horn of Africa

Jie Bai, Vincent Nzabarinda, Albert Poponi Maniraho, Adeline Umugwaneza et al.
Frontiers in Climate
Hydrology and Drought Analysis
article

Spatiotemporal analysis of agricultural drought and its relationship with climate variabilities in the growing season of the Horn of Africa

Jie Bai, Vincent Nzabarinda, Albert Poponi Maniraho, Adeline Umugwaneza, L. Lanhai, David Izere, Pauline Niyomugabo, Fabiola Bakayisire, Igboeli Emeka Edwin, Muhirwa Fabien
article en

Abstract

This study investigates agricultural drought dynamics in the Horn of Africa (HoA) during the June–August growing seasons from 1995 to 2020. Using MODIS and GIMMS NDVI3g data, we derived the Vegetation Condition Index (VCI) to quantify patterns and identify climatic drivers. To delineate persistent drought vulnerability hotspots, we integrated temperature, precipitation, and VCI data, supplemented by satellite-derived soil moisture data, with a season-specific Weighted Overlay Index (WOI). Results revealed significant interannual variability in growing-season conditions, with widespread greenness in 1997–1998 contrasting with severe droughts in 2004, 2009, and 2011, the latter affecting up to 27.3% of the region. Drought hotspots were identified across northern Kenya, eastern Ethiopia, and central Somalia. Trend analysis indicates an increase in extreme and severe drought from 1995 to 2011, followed by partial contraction, though baseline drought exposure remains elevated. Climate data reveals significant spatial variability in precipitation and temperature, with a strong positive correlation between VCI and precipitation ( R 2 = 0.73) and a negative correlation with temperature ( R 2 = −0.74). Vulnerability assessment highlights western Ethiopia as highly vulnerable. Correlation analysis between VCI and detrended maize yield showed positive relationships, strongest in Ethiopia ( R = 0.353) and Kenya ( R = 0.415), validating VCI as an indicator of drought impact on crop performance. The findings underscore increasing drought frequency and the need for climate-resilient agricultural planning in the HoA.

Frontiers in ClimateVol. 7
Chinese Academy of Sciences (CN), University of Lay Adventists of Kigali (RW), Institute for Nuclear Research (RU), Xinjiang Institute of Ecology and Geography (CN), Center For Remote Sensing (United States) (US), INES-Ruhengeri (RW), University of Chinese Academy of Sciences (CN), State Key Laboratory of Remote Sensing Science (CN), Zhejiang University of Technology (CN)
Chinese Academy of Sciences, University of Chinese Academy of Sciences, Alliance of International Science Organizations, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences
Climate action
Openalex Percentile: Top 84%
Hydrology and Drought Analysis
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