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ORIGINAL RESEARCH article

Front. Environ. Sci.

Sec. Environmental Informatics and Remote Sensing

Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1652046

Integrated Drought Index for Enhanced Multi-Factor Assessment of Cropland Vulnerability in East Africa

Provisionally accepted
Adeline  UMUGWANEZAAdeline UMUGWANEZA1,2,3Xi  ChenXi Chen1,2,4,5*Tie  LiuTie Liu1,2,4,5Aboubakar  GasiraboAboubakar Gasirabo3,6Jeanine  UmuhozaJeanine Umuhoza1,2,3,6Edovia  Dufatanye UmwaliEdovia Dufatanye Umwali1,2,3,6Enan  Muhire NyeshejaEnan Muhire Nyesheja3,6Solange  UwamahoroSolange Uwamahoro1,2Albert  Poponi ManirahoAlbert Poponi Maniraho1,2,3,6
  • 1State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS), Ürümqi, China
  • 2University of the Chinese Academy of Sciences, Beijing, China
  • 3University of Lay Adventists of Kigali, Kigali, Rwanda
  • 4Zhejiang University of Technology, Hangzhou, China
  • 5Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Beijing, China
  • 6Joint Research Center for Natural Resources and Environment in East Africa, Kigali, Rwanda

The final, formatted version of the article will be published soon.

East Africa (EA) is becoming more vulnerable to drought, a crisis amplified by climate change, which affects regional livelihoods and food security dependent on rain-fed agriculture. Drought dynamics are not completely understood by current drought assessment methods, as they often neglect to integrate meteorological, agricultural, and hydrological factors. This study addressed this gap by developing the Integrated Drought Index (IDI) using an entropy weighting method. The IDI combines five individual indices and incorporates standardized yield residuals series (SYRS) to capture the multifaceted drought-related impacts on cropland in East Africa from 2001 to 2020. The outcomes revealed overall interannual variations in drought conditions in the study area, with 2005 being particularly severe, affecting 87.3% of the total area. 16.8% and 29.2% experienced extreme and severe drought, respectively. Furthermore, comparisons with standardized drought indices and EM-DAT drought ratios validated the performance of the IDI, demonstrating its high effectiveness in capturing various aspects of drought compared to single-factor indices. SYRS analysis for wheat, dry beans, and maize showed significant yield losses in years of severe drought. With notable yield losses in 2005 and 2008, when drought conditions affected about 87% and 60% of the total area, respectively, maize indicated the highest susceptibility to water stress. These findings highlight the urgent need for adaptive strategies, including drought-tolerant crop varieties, improved water management, and enhanced early warning systems. These are essential to strengthen the resilience of EA to drought, ensuring food security and sustainable livelihoods amidst an increasingly variable climate.

Keywords: East Africa, drought monitoring, idi, Entropy weighting method, SYRS

Received: 23 Jun 2025; Accepted: 31 Jul 2025.

Copyright: © 2025 UMUGWANEZA, Chen, Liu, Gasirabo, Umuhoza, Dufatanye Umwali, Nyesheja, Uwamahoro and Maniraho. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Xi Chen, State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS), Ürümqi, China

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