| Description |
1 online resource |
| Series |
A World Bank study |
| Contents |
Front Cover; Contents; Foreword; Acknowledgments; About the Editors and Authors; Abbreviations; Overview; Background; The Model; The Interventions; The Results; Policy Implications; Cost Implications of Interventions; Chapter 1 Introduction; Defining "Drylands"; Definition of "Resilience"; Note; References; Chapter 2 Methodology; Country Coverage; Main Assumptions and Sources of Data; Relationship between Resilience and Poverty; Estimation of 2010 Vulnerability Profiles; Estimation of 2030 Vulnerability Profiles; Moving from "Vulnerable to Drought" to "Affected by Drought"; Interventions |
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Resilience Analysis for Livestock SystemsResilience Analysis for Rainfed Cropping Systems; Resilience Analysis for Irrigation; Cost Estimates; Consolidating the Results of the Resilience Analysis; Notes; References; Chapter 3 Results; Baseline Vulnerability, 2010; Baseline Vulnerability, 2030; Intervention Results; Consolidated Results; Do Investments in Resilience Pay Off?; References; Chapter 4 Policy Implications; Reference; Boxes; Box 2.1 Projecting Irrigation Expansion Potential in Sub-Saharan Africa by 2030; Box 4.1 Selected Recommendations to Make Current Livelihoods More Resilient |
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FiguresFigure 1.1 Poverty Head Count by Aridity Zone, Selected East and West African Countries, 2010; Figure 2.1 Model Coverage: Drylands Population Equivalents for Countries Included in the Analysis; Figure 2.2 Income Sources in Drylands vs. Non-Drylands, Selected East and West African Countries, 2010; Figure 2.3 Integration of Livestock Models; Figure 2.4 Burkina Faso: Cumulative Distribution of Cattle Ownership; Figure 2.5 Share of the Pastoral Population (%) above the Resilience Level (2010), by Country, Disaggregated by Pure Pastoralists and Agro-Pastoralists |
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Figure 2.6 Share of Agriculture in Total Employment, Selected Lower- and Middle-Income CountriesFigure 2.7 Share of the Pastoral Population (%) above Resilience Level (2030) under the Baseline Scenario, by Country; Figure 2.8 Estimated Population Affected in a Polygon as a Function of Deviations in the Drought Index from the Benchmark; Figure 2.9 Africa RiskView Estimates of Drought-Affected People in Mauritania Expected for Each of 25 Simulated Yield Years |
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Figure 2.10 Estimated Unit Cost (US/Person Made Resilient/Year, Expressed on a Log Scale) under Baseline Climate and Health and Early Offtake ScenariosFigure 3.1 Exposure Level in East and West Africa, 2010; Figure 3.2 Estimated Drylands Population Dependent on Agriculture, by Country and Livelihood Type (Millions of People), Selected West and East African Countries, 2010; Figure 3.3 Percentage of People Vulnerable to and Affected by Drought, Selected West and East African Countries, 2010 |
| Summary |
Drylands account for three-quarters of Sub-Saharan Africa's cropland, two-thirds of cereal production, and four-fifths of livestock holdings. Today frequent and severe shocks, especially droughts, limit the livelihood opportunities available to millions of households and undermine efforts to eradicate poverty in the drylands. Prospects for sustainable development of drylands are assessed in this book through the lens of resilience, understood here to mean the ability of people to withstand and respond to droughts and other shocks. An original model was developed expressly to consistently and coherently evaluate different type of interventions on the ground, which provided a common framework to anticipate the scale of the challenges likely to arise in drylands, as well as to generate insights into opportunities for addressing those challenges. Such modeling framework consisted in a) estimating the baseline vulnerability profiles of people living in drylands (2010), b) estimate the evolution of vulnerability by 2030 under a range of assumptions, c) calculate the number of people affected by drought in the different administrative units of each country, and d) evaluate different types of interventions in agriculture and livestock for mitigating drought impact by calculating the potential for reducing the number of people affected for each scenario and conducting a simplified benefit/cost analysis for each type of intervention. For livestock, simulation models were used to estimate the impacts of feed balances, livestock production, and household income resilience interventions under different climate scenarios. For agriculture, the DSSAT (Decision Support System for·Agrotechnology Transfer) framework was used to assess the potential impact on yields likely to result from adoption of five crop farming technologies: (1) drought-tolerant varieties, (2) heat-tolerant varieties, (3) additional fertilizer, (4) agroforestry practices, (5) irrigation (6) water-harvesting techniques and selected combinations thereof |
| Notes |
"A World Bank study." |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed June 27, 2018) |
| Subject |
Arid regions -- Africa, Sub-Saharan -- Economic conditions -- 21st century
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Droughts -- Economic aspects -- Africa, Sub-Saharan
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Crops -- Effect of drought on -- Africa, Sub-Saharan
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Livestock -- Effect of drought on -- Africa, Sub-Saharan
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BUSINESS & ECONOMICS -- Industries -- General.
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Crops -- Effect of drought on
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Droughts -- Economic aspects
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Livestock -- Effect of drought on
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Sub-Saharan Africa
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| Form |
Electronic book
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| Author |
Carfagna, Federica, editor
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Cervigni, Raffaello, editor.
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Fallavier, Pierre, editor.
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| ISBN |
9781464812279 |
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1464812276 |
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