Drought Dynamics in Sub-Saharan Africa: Impacts and Adaptation Strategies
Abstract
:1. Introduction
2. Method
2.1. Introduction of Study Area
2.2. Literature Review
- Regional focus: articles have a direct and specific emphasis on SSA or its countries, ensuring the review’s relevance to the region;
- Drought examination: a thorough investigation of drought phenomena within SSA, including their characteristics, causes, impacts, and different types of droughts such as meteorological, agricultural, hydrological, and socio-economic drought;
- Causative factors: an in-depth analysis aimed at identifying and understanding the various factors contributing to drought conditions in SSA to provide insights into the complexity of these phenomena;
- Impact assessment: a systematic analysis of drought’s effects across different sectors within SSA, covering socio-economic, health, environmental, and humanitarian aspects;
- Geographical variability: acknowledgment of the region’s geographical diversity, recognizing that the causes and impacts of drought may differ significantly across various locales.
- Generalist nature: articles that lack depth and specificity on SSA, veering towards a global narrative that dilutes the focus on the region;
- Vague or ambiguous discussions: studies that offer indistinct or unclear discussions, hindering a precise comprehension of drought-related issues specific to SSA;
- Emphasis on article quality: research overly concentrated on critiquing the study quality rather than providing a detailed examination of drought’s causes, impacts, and future scenarios in the region;
- Repetition in databases: exclusion of duplicate entries or repetitive studies across databases to ensure novelty in the review and the inclusion of a broad spectrum of viewpoints.
3. Drought in Sub-Saharan Africa
4. Drought Impacts
4.1. Drought Impact on Agriculture
4.2. Drought and Conflicts
4.3. Drought Impacts on Health
4.4. Social Implications of Drought
5. Drought Projections in Sub-Saharan Africa
6. Drought Management Strategies
7. Discussion
7.1. Implications of Drought Dynamics
7.2. Drought Intensity and Trends
7.3. Drought Adaptation
8. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Aspect | Detges [38] | Bell and Keys [31] |
---|---|---|
Key Insights | Drought’s impact on civil disobedience depends on the social and political conditions. Vulnerability is linked to the relationship with the government. Politically marginalized individuals are more prone to endorse violence during droughts. | Drought does not exacerbate risks of conflict in vulnerable states. Stable states with favorable conditions are destabilized during drought, leading to equalized conflict risk. |
Methodology | Use of Afrobarometer survey data from 2002 to 2013 across 35 countries. | Analysis of drought severity and civil conflict onset in SSA from 1962 to 2006. Analysis of socio-political conditions influencing the relationship between drought and conflicts. |
Data Source | Afrobarometer survey data. | State-year sample data covering 39 states from 1962 to 2006. |
Variables Analysed | Attitudes towards political violence. | Drought severity, state adaptive capacity, socio-political conditions. |
Conclusions | Drought alone does not significantly increase the likelihood of political violence. However, during severe droughts, political marginalization and distrust in the government become more influential factors, increasing the risk of conflict. | Drought destabilizes states with improved living standards and more effective governance, contradicting conventional wisdom by equalizing conflict risk during droughts, even in states that are normally more peaceful and robust. |
Reference | Country | Methodology | Strategy and Mitigation Measures |
---|---|---|---|
[50] | Ethiopia | Standardized precipitation index (SPI) of annual rainfall calculated for 35 years. A total of 216 surveys and interviews to randomly selected sample households. | Herd diversification, livestock product sales, migration, charcoal selling, water distribution, emergency aid and safety nets, livestock health training, veterinary services, credit services. |
[51] | South Africa | Data collection from 207 smallholder livestock farmers and the probit model. Construction of an agricultural drought resilience index (ADRI) as an outcome variable. | Access to credit, government assistance (training, feed), and co-operative membership, funding, farm inputs, weather prediction information, livestock management training. |
[52] | Uganda | A questionnaire-based study with 140 farmers in Isingiro district. Binomial and multinomial logistic regression models. | Food and water storage, small-scale irrigation, and access to credit. |
[57] | Zimbabwe | Monthly rainfall data and questionnaires from 60 different households (surveyed between May and December 2013). | Drought-tolerant crop production, crop variety diversification, purchasing cereals through asset sales, non-governmental organizations’ food aid, and gathering wild fruit. |
[58] | Ethiopia, Kenya, Tanzania, Malawi, Zambia, Zimbabwe | Survey of 4351 farm households in 2018. | Diversifying income through seeking alternative employment, enhancing bolstering savings, preserving food, replanting with drought-resistant crops, optimizing food consumption, exploring alternative job opportunities, accessing credit, membership in farm associations, and agricultural training. |
[59] | Ethiopia (South East) | Data collected in 2013 from vulnerable rural households. A total of 1402 households participated in this study (use of a population-proportionate sampling technique). | Consumption of less-preferred and less-expensive food, borrowing food from relatives and friends, consuming seed stock, prioritizing feeding children, searching for alternative employment, and access to agricultural credit. |
[60] | Ethiopia, Tanzania, Uganda, Malawi, Zambia, Zimbabwe | Drought-tolerant maize was tested between 2007 and 2013 in experimental and farmers’ fields. | The use of drought-tolerant maize. |
Aspect | ITIKI Drought Monitoring System | African Drought Monitor (ADM) |
---|---|---|
Methodology | Integrates indigenous knowledge with modern technology. Utilizes mobile phones, wireless sensor networks, and artificial intelligence (AI). Reconciles indigenous and scientific forecasts for enhanced accuracy. | Merges statistical and dynamical climate predictions, hydrological models, and remote sensing data. Combines historic multidecadal reconstructions, real-time monitoring driven by remote sensing, and seasonal forecasts based on climate model predictions. |
Spatial extent | Focuses on Kenya, Mozambique, and South Africa. | Targeted specifically for SSA. |
Data Inputs | Utilizes wireless sensors for weather data, manual rainfall data, indigenous knowledge, published weather data, and input from indigenous experts. | Relies on remotely sensed precipitation, atmospheric analysis data, satellite data on soil moisture and vegetation indices, and bias-corrected climate model forecasts. |
Temporal Resolution | Provides forecasts at different temporal resolutions, including short-term (a few hours to two weeks) and longer-term. | Offers real-time monitoring (2009-present) and seasonal forecasts extending up to 6 months. |
Monitoring and Forecasting | Uses output of the Effective Drought Index (EDI). Artificial Neural Networks (ANNs) predict future values of drought indices. Fuzzy Logic System monitors and forecasts droughts using indigenous knowledge. | Uses the VIC Land Surface Hydrologic Model, statistical and process-based crop yield models. Data from TRMM, GFS, and other sources are bias-corrected and downscaled for accurate forecasting. |
Advantages and Disadvantages | Culturally relevant, locally accepted, and resilient due to the integration of indigenous knowledge. Affordable, sustainable, and effective. | Provides timely and useful information on drought. Merges historical data, real-time monitoring, and seasonal forecasts. |
May require manual reconciliation for longer-term forecasts. | Relies on satellite data and bias-correction methods for climate model forecasts. | |
Operational Use | Aims to provide early warning information to communities and decision-makers in Sub-Saharan Africa. | Evolved in collaboration with UNESCO’s International Hydrological Programme (IHP) and supports sustainable development in the region. |
Category | Adaptation Strategy | Description of Adaptation Strategies | Challenges and Barriers to Mitigate Drought |
---|---|---|---|
Agriculture | Drought-tolerant crop production | Adaptation of agricultural practices, implementation of irrigation systems, and encouraging livelihood diversification. Provision of agricultural credit and cultivation of drought-resistant maize varieties. Cultivation of drought-tolerant crops, diversification of crop varieties, and securing cereals through asset sales Migration in search of water and pastures, supplementing diets with crop residues and homemade rations, and relying on borehole water [4,56,57,60]. | High costs and maintenance demands of agricultural adaptation and irrigation systems are difficult to meet by small-scale farmers. Effectiveness of measures is compromised by water scarcity and distribution issues. Livelihood diversification requires access to skills and resources not available in all communities. Agricultural credit, essential for adopting new practices, is limited in reach. High costs and scarcity of drought-resistant seeds hinder their widespread use. Reliance on crop residues for food can affect long-term nutritional health and soil fertility. Use of borehole water requires considerable investment and careful management to avoid depleting groundwater resources. |
Community-Based Adaptation | Casual labor | Migration for employment and alterations in family dynamics. Households may sell livestock or engage in food-for-work initiatives. Community members resort to casual labor and charcoal production as sources of immediate income. The economic strain forces young children into labor and drives young girls to early marriages due to the inability to afford educational expenses. Men leave for prolonged periods to seek employment in construction or other sectors, sometimes relocating to regions with better rainfall for more viable farming, thereby providing financial support to their families from afar. Reliance on non-governmental organizations for food assistance and foraging for wild fruit becomes essential survival tactics [4,57,72]. | Migration may result in overcrowding and increased competition for resources in more agriculturally productive regions. Early marriages and child labor disrupt education and future prospects. Selling livestock reduces long-term agricultural productivity. Casual labor or food-for-work programs may distract from essential agricultural activities, impacting future food security. Charcoal production worsens environmental degradation. Reliance on NGO food aid, risks creating dependency and undermining local agriculture. Foraging for wild fruit underscores the critical lack of reliable food sources, highlighting these strategies’ unsustainable nature in addressing drought’s challenges. |
Technology and Innovation | Drought monitoring and early warning systems | Implementation of advanced drought monitoring and early warning systems to mitigate drought effects. These systems track key indicators (e.g., soil moisture, precipitation, and vegetation), provide drought indices normalized against historical records, and forecast drought risks months in advance. Information Technology and Indigenous Knowledge with Intelligence—a novel approach that integrates technological solutions with indigenous knowledge (IK) to enhance early drought detection and response strategies. This method underscores the importance of local wisdom in observing natural cues for drought prediction [16,53,63,76,77] | Drought monitoring systems face critical challenges in accessibility due to limited data acquisition capabilities and language barriers. Many regions, especially rural areas, suffer from a lack of comprehensive coverage by meteorological and hydrological stations, compounded by the destruction of infrastructure through armed conflicts. Predominance of English in disseminating information fails to accommodate the linguistic diversity of the region, hindering the effective use of these systems by local communities at greatest risk. Low utilization rates and the overlooking of at-risk communities. |
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Lombe, P.; Carvalho, E.; Rosa-Santos, P. Drought Dynamics in Sub-Saharan Africa: Impacts and Adaptation Strategies. Sustainability 2024, 16, 9902. https://doi.org/10.3390/su16229902
Lombe P, Carvalho E, Rosa-Santos P. Drought Dynamics in Sub-Saharan Africa: Impacts and Adaptation Strategies. Sustainability. 2024; 16(22):9902. https://doi.org/10.3390/su16229902
Chicago/Turabian StyleLombe, Pedro, Elsa Carvalho, and Paulo Rosa-Santos. 2024. "Drought Dynamics in Sub-Saharan Africa: Impacts and Adaptation Strategies" Sustainability 16, no. 22: 9902. https://doi.org/10.3390/su16229902
APA StyleLombe, P., Carvalho, E., & Rosa-Santos, P. (2024). Drought Dynamics in Sub-Saharan Africa: Impacts and Adaptation Strategies. Sustainability, 16(22), 9902. https://doi.org/10.3390/su16229902