Spatio-temporal variations of drought in the Welmel watershed, southeast of Ethiopia using the vegetation condition index and standardized precipitation index

被引:0
作者
Bogale, Tesfaye [1 ]
Degefa, Sileshi [1 ]
Dalle, Gemedo [1 ]
Abebe, Gebeyehu [2 ]
机构
[1] Addis Ababa Univ, Ctr Environm Sci, POB 1176, Addis Ababa, Ethiopia
[2] Debre Berhan Univ, Dept Nat Resources Management, Debre Berhan, Ethiopia
关键词
Agricultural drought; Anomaly index; Drought frequency; Meteorological drought; Trend analysis; AGRICULTURAL DROUGHT; UNITED-STATES; NORTHERN; IMPACTS; VULNERABILITY; VARIABILITY; HIGHLANDS; MODEL; NDVI;
D O I
10.1186/s13717-025-00605-0
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
BackgroundIn diverse agroecological settings, determining the magnitude and intensity of drought conditions is crucial for enhancing food security and climate resilience. However, in regions with bimodal agroecology, the specific growing season characterized by frequent and severe droughts remains uncertain. This study aimed to assess the spatiotemporal dynamics of drought in the Welmel watershed in southeastern Ethiopia from 2000 to 2022 using the standard precipitation index (SPI) and vegetation condition index (VCI). The investigation utilized data from the Moderate Resolution Imaging Spectroradiometer and the Climate Hazards Group Infrared Precipitation with Stations, accessed through the Google Earth Engine cloud computing platform.ResultsThe analysis of the SPI and VCI demonstrated that the watershed experienced mild to extreme drought throughout the study period. Between the two growing seasons, March-May (MAM) and September-November (SON), MAM was found to be more susceptible to drought than SON in both indices. The SPI-12 and annual VCI assessments identified 2011, 2019 and 2022 as years with severe and extreme drought events. The spatial distribution of drought severity was more pronounced in lowland regions than in highland regions. The spatial VCI Sen's slope analysis revealed varied trends, with annual, SON and MAM values decreasing by 1.47, 0.28 and 0.14, respectively. A strong significant correlation was observed between seasonal SPI-3 and MAM VCI (r = 0.68), while the correlation with SON VCI was weak and not statistically significant (r = 0.36).ConclusionsThis research provides crucial insights for rain-fed agricultural sectors and policymakers, highlighting the importance of the SON growing season in minimizing the potential for drought-related catastrophes in the cultivation of rain-fed crops. In the future, an in-depth examination of the extent of drought in regions with bimodal rainy seasons may prove to be of paramount importance for the agricultural sector and policymakers.
引用
收藏
页数:21
相关论文
共 86 条
[61]   Drought disaster monitoring using MODIS derived index for drought years: A space-based information for ecosystems and environmental conservation [J].
Orimoloye, Israel R. ;
Belle, Johanes A. ;
Ololade, Olusola O. .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 284
[62]   Monitoring spatio-temporal pattern of drought stress using integrated drought index over Bundelkhand region, India [J].
Patel, N. R. ;
Yadav, Kamana .
NATURAL HAZARDS, 2015, 77 (02) :663-677
[63]   Soil and climate differently impact NDVI patterns according to the season and the stand type [J].
Piedallu, C. ;
Cheret, V. ;
Denux, J. P. ;
Perez, V. ;
Azcona, J. S. ;
Seynave, I. ;
Gegout, J. C. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 651 :2874-2885
[64]   Evaluation of time scale of meteorological, hydrological and agricultural drought indices [J].
Prajapati, V. K. ;
Khanna, M. ;
Singh, M. ;
Kaur, R. ;
Sahoo, R. N. ;
Singh, D. K. .
NATURAL HAZARDS, 2021, 109 (01) :89-109
[65]  
Rouse J.W., 1974, NASA, P309
[66]   Anthropogenic Land Use and Land Cover Changes-A Review on Its Environmental Consequences and Climate Change [J].
Roy, Parth Sarathi ;
Ramachandran, Reshma M. ;
Paul, Oscar ;
Thakur, Praveen K. ;
Ravan, Shirish ;
Behera, Mukunda Dev ;
Sarangi, Chandan ;
Kanawade, Vijay P. .
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2022, 50 (08) :1615-1640
[67]   Monitoring of agricultural drought in semi-arid ecosystem of Peninsular India through indices derived from time-series CHIRPS and MODIS datasets [J].
Sandeep, P. ;
Reddy, G. P. Obi ;
Jegankumar, R. ;
Kumar, K. C. Arun .
ECOLOGICAL INDICATORS, 2021, 121
[68]  
Sandison P, 2012, Evaluation of Ethiopia Drought Response 2011/2012, Using Oxfam GB's Global Humanitarian Indicator Tool
[69]  
SEN PK, 1968, J AM STAT ASSOC, V63, P1379
[70]  
Sheffield J., 2011, Drought: past problems and future scenarios