Geospatial monitoring and analysis of agricultural drought to identify hotspots and risk assessment for Senegal

• A near real-time geospatial drought monitoring system at a resolution of 0.05° for Senegal. • Drought monitoring has proven effective in capturing historical droughts in Senegal. • Regional drought characteristics were analyzed using bivariate copulas in S-D-F analysis. • Senegal faces frequent, severe short-duration droughts with widespread spatial impact. • An increase in drought severity was found to be associated with crop yield reductions. Agricultural drought, characterized by insufficient soil moisture crucial for crop growth, poses significant challenges to food security and economic sustainability, particularly in water-scarce regions like Senegal. This study addresses this issue by developing a comprehensive geospatial monitoring system for agricultural drought using the Regional Hydrologic Extremes Assessment System (RHEAS). This system, with a high-resolution of 0.05°, effectively simulates daily soil moisture and generates the Soil Moisture Deficit Index (SMDI)-based agricultural drought monitoring. The SMDI derived from the RHEAS has effectively captured historical droughts in Senegal over the recent 30 years period from 1993 to 2022. The SMDI, also provides a comprehensive understanding of regional variations in drought severity (S), duration (D), and frequency (F), through S-D-F analysis to identify key drought hotspots across Senegal. Findings reveal a distinct north-south gradient in drought conditions, with the northern and central Senegal experiencing more frequent and severe droughts. The study highlights that Senegal experiences frequent short-duration droughts with high severity, resulting in extensive spatial impact. Additionally, increasing trends in drought severity and duration suggest evolving climate change effects. These findings emphasize the urgent need for sustainable interventions to mitigate drought impacts on agricultural productivity. Specifically, the study identifies recurrent and intense drought hotspots affecting yields of staple crops like maize and rice, as well as cash crops like peanuts. The developed high-resolution drought monitoring system for Senegal not only identifies hotspots but can also enables prioritizing sustainable approaches and adaptive strategies, ultimately sustaining agricultural productivity and resilience in Senegal's drought-prone regions.

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Publication Details

Journal
Geography and sustainability
Published
2024-11-07
DOI
https://doi.org/10.1016/j.geosus.2024.10.004
Citations
4
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
1.13

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article

Geospatial monitoring and analysis of agricultural drought to identify hotspots and risk assessment for Senegal

P. V. Vara Prasad, Gurjeet Singh, Narendra N. Das
4 citations
Geography and sustainability
Hydrology and Drought Analysis
1.13
article

Geospatial monitoring and analysis of agricultural drought to identify hotspots and risk assessment for Senegal

P. V. Vara Prasad, Gurjeet Singh, Narendra N. Das
article en
4 citations

Abstract

• A near real-time geospatial drought monitoring system at a resolution of 0.05° for Senegal. • Drought monitoring has proven effective in capturing historical droughts in Senegal. • Regional drought characteristics were analyzed using bivariate copulas in S-D-F analysis. • Senegal faces frequent, severe short-duration droughts with widespread spatial impact. • An increase in drought severity was found to be associated with crop yield reductions. Agricultural drought, characterized by insufficient soil moisture crucial for crop growth, poses significant challenges to food security and economic sustainability, particularly in water-scarce regions like Senegal. This study addresses this issue by developing a comprehensive geospatial monitoring system for agricultural drought using the Regional Hydrologic Extremes Assessment System (RHEAS). This system, with a high-resolution of 0.05°, effectively simulates daily soil moisture and generates the Soil Moisture Deficit Index (SMDI)-based agricultural drought monitoring. The SMDI derived from the RHEAS has effectively captured historical droughts in Senegal over the recent 30 years period from 1993 to 2022. The SMDI, also provides a comprehensive understanding of regional variations in drought severity (S), duration (D), and frequency (F), through S-D-F analysis to identify key drought hotspots across Senegal. Findings reveal a distinct north-south gradient in drought conditions, with the northern and central Senegal experiencing more frequent and severe droughts. The study highlights that Senegal experiences frequent short-duration droughts with high severity, resulting in extensive spatial impact. Additionally, increasing trends in drought severity and duration suggest evolving climate change effects. These findings emphasize the urgent need for sustainable interventions to mitigate drought impacts on agricultural productivity. Specifically, the study identifies recurrent and intense drought hotspots affecting yields of staple crops like maize and rice, as well as cash crops like peanuts. The developed high-resolution drought monitoring system for Senegal not only identifies hotspots but can also enables prioritizing sustainable approaches and adaptive strategies, ultimately sustaining agricultural productivity and resilience in Senegal's drought-prone regions.

Geography and sustainabilityVol. 6(1)
Kansas State University (US), Michigan State University (US)
National Aeronautics and Space Administration, United States Agency for International Development, Michigan State University, Kansas State University
Zero hunger
Openalex Percentile: Top 22%
Hydrology and Drought Analysis
1.13
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