Spatiotemporal characterization of agricultural drought in the Sahel region using a composite drought index

Abdourahamane, Zakari Seybou; Garba, Issa; Boukary, Aboubakr Gambo; Mirzabaev, Alisher

doi:10.1016/j.jaridenv.2022.104789

Cited by 17 publications

(14 citation statements)

References 27 publications

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“…Droughts are usually triggered by a period of rainfall scarcity, with the quantity of rainfall below the long-term average (Abdourahamane et al, 2022), known as meteorological drought. This can result in a decrease in the soil moisture, which affects agricultural productivity (Abdourahamane et al, 2022). As a consequence, agricultural drought is a result of meteorological drought.…”

Section: Agricultural Droughtmentioning

confidence: 99%

“…If one of the three drought categories previously quoted (meteorological, agricultural, and hydrological) negatively impacts society by causing water shortages, food crises, migrations, and conflicts and impacts the economy by significantly increasing the prices of water, food, and other related products, a socioeconomic drought automatically occurs (Abdourahamane et al, 2022;Mogano & Mokoele, 2019). Crausbay et al (2017) demonstrated that socioeconomic drought occurs when the demand for water does not meet the domestic supply.…”

Section: Socio-economic Droughtmentioning

confidence: 99%

“…These indices are categorized into two main types: climatic drought and remote sensing indices. Researchers have recently attempted to optimize drought monitoring efforts by leveraging data from many variables and developing more robust methods (Abdourahamane et al, 2022;Hao et al, 2015). These are composite drought indices that integrate several simple indices using various methods.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, because of drought complexity and its countless impacts, characterizing drought conditions typically involve incorporating various drought-related variables or indices. Many studies have suggested that composite drought indices allow for the characterization of combined drought effects (Abdourahamane et al, 2022;Al Adaileh et al, 2019). In addition, in previous decades, Earth observation data has emerged as an alternative to in situ measurements of hydroclimatic and land data to compute drought indices (Abdourahamane et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Many studies have suggested that composite drought indices allow for the characterization of combined drought effects (Abdourahamane et al, 2022;Al Adaileh et al, 2019). In addition, in previous decades, Earth observation data has emerged as an alternative to in situ measurements of hydroclimatic and land data to compute drought indices (Abdourahamane et al, 2022). Generally, studies have demonstrated that composite and remote sensing indices are suitable alternatives to climatic indices (Mustafa Alee et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

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Drought characterization: A systematic literature review

Choukri,

Naimi,

Chikhaoui

2023

Sains Tanah J. Soil Sci. Agroclimatology

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<p>This study examined the worsening severity of global droughts caused by climate change. However, the multiple definitions and varied range of drought indices pose challenges in effectively monitoring and assessing the prevalence and severity of droughts. This study aims to give a comprehensive overview of the various drought definitions found in the literature and how they have evolved based on their applications. Specifically, the focus was to shed light on the dynamic nature of drought characterization and offer insights into the factors that shaped its conceptualization over time. Within this context, this study explored three primary categories of drought indices: climatic, remote sensing, and composite. Each category was discussed in relation to its utility in specific fields, such as meteorological, agricultural, and hydrological drought assessments, along with an analysis of their strengths and limitations. Furthermore, this study presents modified meteorological drought indices that have been adapted to better monitor agricultural droughts. Additionally, the authors used geographic information systems to create a map showing the distribution of drought-related publications globally over the past decade. The findings showed that countries with arid and semi-arid climates are more actively involved in drought research, highlighting their particular interest and concern regarding the subject matter. The implications of this study emphasize the urgent need for immediate and coordinated efforts to address the escalating issue of droughts caused by climate change. By improving monitoring and assessment methods and focusing on tailored strategies in vulnerable regions, it is possible to mitigate the far-reaching consequences of drought and to build more resilient communities and ecosystems.</p>

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Section: Agricultural Droughtmentioning

confidence: 99%

Section: Socio-economic Droughtmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Drought characterization: A systematic literature review

Choukri,

Naimi,

Chikhaoui

2023

Sains Tanah J. Soil Sci. Agroclimatology

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Spatial analysis of remote sensing and meteorological indices in a drought event in southwestern Spain

Quirós,

Fragoso-Campón

2024

Theor Appl Climatol

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The effects of global warming and climate change are being felt through more extreme and prolonged periods of drought. Multiple meteorological indices are used to measure drought, but they require hydrometeorological data; however, other indices measured by remote sensing and used to quantify vegetation vigor can be correlated with the former. This study investigated the correlation between both index types by vegetation type and season. The correlations were also spatially modeled in a drought event in southwestern Spain. In addition, three maps with different levels of detail in terms of vegetation categorization were compared. The results generally showed that grassland was the most well correlated category between the SPEI and the FAPAR, LAI, and NDVI. This correlation was more pronounced in autumn and spring, which is when most changes in vegetation senescence and growth occur. The spatiotemporal analysis indicated a very similar behavior for grasslands grouped in an area indicated by the climate change adaptation maps as having a high evapotranspiration forecast. Finally, in a forest-based forecast analysis, the indices that best explained the performance of the SPEI were again FAPAR, LAI, and NDVI, with a lag of up to 20 days. Therefore, the results showed that remotely sensed indices are good indicators of drought status and can be variably explanatory of traditional drought indicators. Moreover, complementing the study with spatiotemporal analysis made it possible to detect areas particularly vulnerable to climate change.

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