Spatiotemporal Analysis of Drought Characteristics and Their Impact on Vegetation and Crop Production in Rwanda

Author:

Niyonsenga Schadrack1234ORCID,Eziz Anwar15,Kurban Alishir124567ORCID,Yuan Xiuliang12456,Umwali Edovia Dufatanye1234,Azadi Hossein157ORCID,Hakorimana Egide1234ORCID,Umugwaneza Adeline1234,Fidelis Gift Donu125,Nsanzabaganwa Justin1234ORCID,Nzabarinda Vincent12

Affiliation:

1. State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road, Urumqi 830011, China

2. University of Chinese Academy of Sciences, Beijing 100049, China

3. Faculty of Environmental Studies, University of Lay Adventist of Kigali (UNILAK), Kigali P.O. Box 6392, Rwanda

4. Joint Research Center for Natural Resources and Environment in East Africa, Kigali P.O. Box 6392, Rwanda

5. Sino-Belgian Joint Laboratory for Geo-Information, Urumqi 830011, China

6. Key Laboratory of GIS & RS Application of Xinjiang Uyghur Autonomous Region, Urumqi 830011, China

7. Sino-Belgian Joint Laboratory for Geo-Information, B-9000 Ghent, Belgium

Abstract

In recent years, Rwanda, especially its Eastern Province, has been contending with water shortages, primarily due to prolonged dry spells and restricted water sources. This situation poses a substantial threat to the country’s agriculture-based economy and food security. The impact may escalate with climate change, exacerbating the frequency and severity of droughts. However, there is a lack of comprehensive spatiotemporal analysis of meteorological and agricultural droughts, which is an urgent need for a nationwide assessment of the drought’s impact on vegetation and agriculture. Therefore, the study aimed to identify meteorological and agricultural droughts by employing the Standardized Precipitation Evapotranspiration Index (SPEI) and the Vegetation Health Index (VHI). VHI comprises the Vegetation Condition Index (VCI) and the Temperature Condition Index (TCI), both derived from the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST). This study analyzed data from 31 meteorological stations spanning from 1983 to 2020, as well as remote sensing indices from 2001 to 2020, to assess the spatiotemporal patterns, characteristics, and adverse impact of droughts on vegetation and agriculture. The results showed that the years 2003, 2004, 2005, 2006, 2013, 2014, 2015, 2016, and 2017 were the most prolonged and severe for both meteorological and agricultural droughts, especially in the Southern Province and Eastern Province. These extremely dry conditions led to a decline in both vegetation and crop production in the country. It is recommended that policymakers engage in proactive drought mitigation activities, address climate change, and enforce water resource management policies in Rwanda. These actions are crucial to decreasing the risk of drought and its negative impact on both vegetation and crop production in Rwanda.

Funder

National Natural Science Foundation of China

Tianchi talent (young scientist) fund

National Youth Talent Project

Project for Cultivating High-Level Talent of Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences

Chinese Academy of Sciences President’s International Fellowship Initiative

Publisher

MDPI AG

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