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  • 1
    Online Resource
    Online Resource
    Washington, DC :World Bank,
    UID:
    almafu_9958092113602883
    Format: 1 online resource (pages cm)
    Edition: 1st ed.
    ISBN: 9780821399767 , 0821399764
    Series Statement: World Bank Studies
    Content: The Federal Government of Nigeria has adopted an ambitious strategy to make Nigeria the world's 20th largest economy by 2020. Sustaining such a pace of growth will entail rapid expansion of activity in key carbon-emitting sectors of the economy. In the absence of policies to accompany economic growth with a reduced carbon footprint, emission of greenhouse gases would more than double in the next two decades.By consolidating and synthesizing the results of the sector-specific, in-depth analyses,volume 1 of this effort found options for Nigeria to achieve the development objectives of Vision 20:2020
    Note: Description based upon print version of record. , Front Cover; Contents; Preface; About the Editors and Authors; Acknowledgments; Part 1 Agriculture and Land Use Sector; Acknowledgments; Abbreviations; Executive Summary; Chapter 1 Introduction; Figure 1.1 Implementation of the Vision 20: 2020 Roadmap; Figures; Figure 1.2 Mitigation Potential of Low-Carbon Practices on the Agriculture Sector; Table 1.1 Sources for Nigerian Agronomic Practices; Table 1.2 Data Sources for Land Uses; Tables; Table 1.3 Sources of Coefficients Used in the Analysis; Notes; References; Data Sources for the Agriculture and Land Use Sector , Chapter 2 The Reference Scenario Agricultural Growth Model; GHG Emissions Model; Figure 2.1 Agricultural Growth Model: Production Increase and Growth Sources; Table 2.1 Agricultural Growth Model Predicted Growth; Maps; Map 2.1 Land Use Map, 2011; Map 2.2 Land Suitable for Agricultural Use, 2011; Figure 2.2 Land Use Evolution in the Reference Scenario; Table 2.2 Land Use in 2010, 2025, and 2035 for the Reference Scenario; Table 2.3 Projected Expansion of Infrastructure for Agriculture in 2025; Emissions Baseline , Figure 2.3 Annual Emissions by Land Use Activity, in the Reference Scenario, 2010-35 Table 2.4 Annual Emissions of 2010 and 2035 in the Reference Scenario; Notes; References; Chapter 3 The Low-Carbon Scenarios: Mitigation Options; Sustainable Land Management Options; Adjusted Agricultural Growth Model; Table 3.1 Mitigation Options Adopted in the Low-Carbon Scenario; Emissions Models under Two Low-Carbon Scenarios; Figure 3.1 Total Production Increase and Growth Sources for Low-Carbon Scenario; Table 3.2 Agricultural Growth Model of Low-Carbon vs. Reference Scenarios , Table 3.3 Land Use for Low-Carbon Scenarios (2025/2035) vs. Reference Scenario Figure 3.2 Adoption Rate of SLM Practices; Low-Carbon Scenarios: Results; Figure 3.3 Land Use Evolution in Low-Carbon Scenarios, 2010-35; Table 3.4 Results for the Two Low-Carbon Simulations; Table 3.5 Mitigation Potential of Various Activities; Figure 3.4 Agricultural Mitigation Potential by Subsector for Low-Carbon Scenarios; Table 3.6 Public Cost of Emissions and Mitigation Potential of SLM Measures, 2011-35; Figure 3.5 Marginal Abatement Cost of SLM Practices for FGN , Table 3.7 Private Cost of Emissions and Mitigation Potential of SLM Measures Figure 3.6 Marginal Abatement Cost to Farmers of SLM practices; Figure 3.7 MAC Curves of SLM Practices for All of Nigeria (public + private costs and benefits); Figure 3.8 MAC of SLM practices (scenario A), with Carbon Revenue Added for Farmers; Notes; Table 3.8 MAC of SLM Measures, Depending on the Low-Carbon Scenarios; References; Chapter 4 Recommendations for an Effective Low-Carbon Strategy in the AFOLU Sector; Building a Network of Climate Smart Agriculture Partners; Figure 4.1 Capacity Building Model , Effective Implementation Mechanisms , English
    Additional Edition: ISBN 9780821399736
    Additional Edition: ISBN 082139973X
    Language: English
    URL: Volltext  (kostenfrei)
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  • 2
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    UID:
    b3kat_BV048264040
    Format: 1 Online-Ressource
    ISBN: 082139925X , 0821399268 , 9780821399255 , 9780821399262
    Note: "The report was prepared by a World Bank team led by Raffaello Cervigni and including (in alphabetical order) Abimbola A. Adubi, Ademola Braimoh, Amos Abu, Anushika Karunaratne, Benedicte Marie Cecile Augeard , Beula Selvadurai, Ella Omomene Iklaga, Erik Magnus Fernstrom, Francesca Fusaro, Irina Dvorak, Joseph Ese Akpokodje, Rikard Liden, Sarwat Hussain, Shobha Shetty, Stephen Danyo, Stephen Ling. Onno Ruhl, former Country Director for Nigeria, provided guidance and institutional support. - Includes bibliographical references and index
    Language: English
    URL: Volltext  (kostenfrei)
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  • 3
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    UID:
    b3kat_BV048264043
    Format: 1 Online-Ressource
    ISBN: 9780821399231 , 9780821399248
    Note: "The report was prepared by a World Bank team led by Raffaello Cervigni and including (in alphabetical order) Abimbola A. Adubi, Ademola Braimoh, Amos Abu, Anushika Karunaratne, Benedicte Marie Cecile Augeard , Beula Selvadurai, Ella Omomene Iklaga, Erik Magnus Fernstrom, Francesca Fusaro, Irina Dvorak, Joseph Ese Akpokodje, Rikard Liden, Sarwat Hussain, Shobha Shetty, Stephen Danyo, Stephen Ling. Onno Ruhl, former Country Director for Nigeria, provided guidance and institutional support. - Includes bibliographical references and index , IntroductionCountry and sector backgroundMethodology of analysisClimate projections and their uncertaintyClimate change impact analysisAdaptation options in the agriculture and water sectorsConclusions and recommendations
    Language: English
    URL: Volltext  (kostenfrei)
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  • 4
    UID:
    almafu_9958869780602883
    Format: 1 online resource (104 pages)
    Edition: 1st ed.
    ISBN: 9781464812279 , 1464812276
    Series Statement: World Bank Studies
    Content: 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 thescale 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) calculated the number of people affectedby 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 (B/C) 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, (S) irrigation (6) water-harvesting techniques and selected combinations thereof.
    Note: 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 -- Resilience Analysis for Livestock Systems -- Resilience 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 -- Figures -- Figure 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. , Figure 2.6 Share of Agriculture in Total Employment, Selected Lower- and Middle-Income Countries -- Figure 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 -- Figure 2.10 Estimated Unit Cost (US/Person Made Resilient/Year, Expressed on a Log Scale) under Baseline Climate and Health and Early Offtake Scenarios -- Figure 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 -- Figure 3.4 Projected Rural Population in 2030 (2010 = 100, Medium Fertility Scenario), Selected West and East African Countries -- Figure 3.5 Number of People in Drylands Projected to Be Dependent on Agriculture in 2030 (2010 = 100, Medium Fertility Scenario), Selected West and East African Countries -- Figure 3.6 Percentage Change in Agriculture-Dependent Population, 2010-30, by Livelihood System under Medium-Fertility Scenario -- Figure 3.7 Share of 2010 Population Likely to Drop Out of Pastoralism by 2030, Selected West and East African Countries -- Figure 3.8 People Vulnerable to/Affected by Drought in 2030 (2010 = 100%) -- Figure 3.9 Share of 2030 GDP Required to Protect Drought-Affected Population through Social Safety Net Interventions, Selected West and East African Countries. , Figure 3.10 Vulnerable People in Drylands in 2030 (2010 = 100, Medium-Fertility Scenario), Selected West and East African Countries -- Figure 3.11 Vulnerable People in Drylands in 2030 (2010 = 100, Different Fertility Scenarios), Selected West and East African Countries -- Figure 3.12 The Effect of the Two Key Interventions on Vulnerability Levels under the Baseline Weather Scenario -- Figure 3.13 The Cumulative Effect of Key Interventions on Vulnerability Levels under the Baseline Weather Scenario -- Figure 3.14 Reduction in Exits from Pastoralism because of Technological Interventions, Selected West and East African Countries, 2030 -- Figure 3.15 Relative Contributions of Technological Interventions in Reducing Vulnerability, Selected West and East African Countries, 2030 -- Figure 3.16 Relative Contributions of Technological Interventions in Reducing Vulnerability, by Aridity Zone, 2030 -- Figure 3.17 Importance of Targeting Technological Interventions -- Figure 3.18 Estimated Reduction in the Average Number of Drought-Affected People through Use of FMNR and Other Technologies by 2030 -- Figure 3.19 Land Area with Irrigation Investment Potential under Alternative Assumptions of Irrigation Costs and IRRs -- Figure 3.20 Beneficiary Population under Alternative Assumptions of Irrigation Costs and IRRs -- Figure 3.21 Contribution of Technological Interventions to Resilience in 2030 (2010 = 100%), Selected West and East African Countries -- Figure 3.22 Benefit/Cost Ratios of Resilience Interventions, Selected West and East African Countries -- Maps -- Map 1.1 Dryland Regions of West and East Africa -- Map 1.2 Shift and Expansion by 2050 of Dryland Areas Caused by Climate Change -- Map 2.1 Data Availability by Type of Intervention -- Map 2.2 Crop by Aridity Zone/Admin Unit. , Map 3.1 Projected Number of Drought-Affected People, Annual Average, Selected Countries, 2010 -- Tables -- Table 1.1 Aridity Zones Defined -- Table 1.2 Shares of Households in Transition across Poverty Status, Ethiopia, 1994-2009 -- Table 2.1 Approach and Assumptions Used in Estimating Vulnerability in the Model -- Table 2.2 Models Used for the Resilience Analysis, by Aridity Zone -- Table 2.3 How the Various Aridity Classes Are Aggregated into Aridity Zones -- Table 2.4 Estimated Agriculture-Dependent Population in East and West Africa, 2010 -- Table 2.5 Three Dimensions of Vulnerability in Africa's Drylands, 2010 (Million People) -- Table 2.6 Gini Coefficient of Livestock Ownership, Selected West and East African Countries -- Table 2.7 Mauritania Vulnerability Profile (Population, Millions) -- Table 2.8 Coverage of Resilience Interventions -- Table 2.9 Maize, Millet, and Sorghum Cropping Calendar, Selected West and East African Countries -- Table B2.1.1 Current Inventory of Large Dams in African Countries -- Table 2.10 Aquifer Classification in British Geological Survey Groundwater Data -- Table 2.11 Criteria Used to Assess Environmental Suitability of Large-Scale Irrigation Investment (within the Delineated Command Areas of Reservoirs) -- Table 2.12 Criteria Used to Assess Environmental Suitability of Small-Scale Irrigation Investment -- Table 2.13 Estimated Annual Costs of Resilience Interventions (US Billions/year) -- Table 2.14 Average Cost/Person/Year of the Main Interventions in Five Dryland Livestock Development Projects (US) -- Table 2.15 Assumptions about the Allocation of Adoption- and Non-Adoption-Related Costs -- Table 2.16 Summary of Costs (Average 2011-14 Prices, US Billions) of Health and Early Offtake Interventions and Their Distribution between the Public and Private Sectors (2011-30). , Table 2.17 Public Costs of Technology Transfer (US/hectare) -- Table 2.18 Private Costs of Technology Adoption (US/hectare) -- Table 2.19 Irrigation Development Unit Cost Assumptions (US/hectare) -- Table 2.20 Coverage of Livelihood Modeling by Aridity Zone -- Table 3.1 Minimum Number of TLU per Household Required to Attain Resilience -- Table 3.2 Livestock Population Growth (Offtake + Population Growth), 2012-30, as Affected by Technology and Climate -- Table 3.3 Irrigation Development Potential by 2030 (1,000 ha, Medium-Cost-5% IRR), Selected West and East African Countries -- Table 3.4 Estimated Beneficiary Population (1,000 People, Medium-Cost 5% IRR), Selected West and East African Countries -- Table 3.5 Beneficiary Population by Aridity Zone (1,000 People, Medium-Cost-5% IRR).
    Additional Edition: ISBN 9781464812262
    Additional Edition: ISBN 1464812268
    Language: English
    URL: Volltext  (kostenfrei)
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  • 5
    UID:
    b3kat_BV049081488
    Format: 1 Online-Ressource
    Series Statement: Other Environmental Study
    Content: The Economic Case for Nature is part of a series of papers by the World Bank that lays out the economic rationale for investing in nature and recognizes how economies rely on nature for services that are largely underpriced. This report presents a first-of-its-kind global integrated ecosystem-economy modelling exercise to assess economic policy responses to the global biodiversity crisis. Modeling the interaction between nature's services and the global economy to 2030, the report points to a range and combination of policy scenarios available to reduce the impact of nature's loss on economies. This modeling framework represents an important steppingstone towards 'nature-smart' decision-making, as it seeks to support policymakers who face complex tradeoffs involving the management of natural capital, and hence achieving growth that is resilient and inclusive
    Language: English
    URL: Volltext  (kostenfrei)
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  • 6
    Online Resource
    Online Resource
    Washington, DC : World Bank : Agence Francaise de Development
    UID:
    b3kat_BV049079559
    Format: 1 Online-Ressource (Seiten cm))
    ISBN: 9781464808173
    Series Statement: Africa development forum series
    Note: "This book provides a synthesis of the study, 'The Economics of Resilience in the Drylands of Africa.' The study was a collaborative effort involving contributors from many organizations, working under the guidance of a team comprised of staff from the World Bank Group (WBG), the United Nations Food and Agriculture Organization (FAO), and the Consultative Group for International Agricultural Research Program on Policies, Institutions, and Markets (CGIAR-PIM). - Description based on print version record
    Language: English
    URL: Volltext  (kostenfrei)
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  • 7
    UID:
    almahu_9949191476502882
    Format: 1 online resource (216 pages)
    ISBN: 9781464804663
    Series Statement: World Bank e-Library.
    Content: To sustain Africa's growth, and accelerate the eradication of extreme poverty, investment in infrastructure is fundamental. In 2010, the Africa Infrastructure Country Diagnostic found that to enable Africa to fill its infrastructure gap, some USD 93 billion per year for the next decade will need to be invested. The Program for Infrastructure Development in Africa (PIDA), endorsed in 2012 by the continent's Heads of State and Government, lays out an ambitious long-term plan for closing Africa's infrastructure including trough step increases in hydroelectric power generation and water storage capacity. Much of this investment will support the construction of long-lived infrastructure (e.g. dams, power stations, irrigation canals), which may be vulnerable to changes in climatic patterns, the direction and magnitude of which remain significantly uncertain. Enhancing the Climate Resilience of Africa 's Infrastructure evaluates -using for the first time a single consistent methodology and the state-of-the-arte climate scenarios-, the impacts of climate change on hydro-power and irrigation expansion plans in Africa's main rivers basins (Niger, Senegal, Volta, Congo, Nile, Zambezi, Orange); and outlines an approach to reduce climate risks through suitable adjustments to the planning and design process. The book finds that failure to integrate climate change in the planning and design of power and water infrastructure could entail, in scenarios of drying climate conditions, losses of hydropower revenues between 5% and 60% (depending on the basin); and increases in consumer expenditure for energy up to 3 times the corresponding baseline values. In in wet climate scenarios, business-as-usual infrastructure development could lead to foregone revenues in the range of 15% to 130% of the baseline, to the extent that the larger volume of precipitation is not used to expand the production of hydropower. espite the large uncertainty on whether drier or wetter conditions will prevail in the future in Africa, the book finds that by modifying existing investment plans to explicitly handle the risk of large climate swings, can cut in half or more the cost that would accrue by building infrastructure on the basis of the climate of the past.
    Additional Edition: Print Version: ISBN 9781464804663
    Language: English
    URL: Volltext  (kostenfrei)
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  • 8
    UID:
    gbv_1658570103
    Format: 1 Online-Ressource (xix, 83 Seiten) , Diagramme, Karten
    ISBN: 9781464812279
    Series Statement: A World Bank study
    Content: 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) calculated the number of people affectedby 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 (B/C) 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, (S) irrigation (6) water-harvesting techniques and selected combinations thereof
    Note: Tabellen, Literaturangaben , English
    Additional Edition: ISBN 9781464812262
    Language: English
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  • 9
    UID:
    b3kat_BV014186689
    Format: XIX, 271 S. , graph. Darst.
    ISBN: 1840643455
    Language: English
    Subjects: Geography
    RVK:
    Keywords: Staat Veracruz ; Biodiversität ; Landnutzung ; Umweltpolitik ; Bibliographie enthalten
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  • 10
    Online Resource
    Online Resource
    Washington, D.C. :The World Bank,
    UID:
    almafu_9958080725102883
    Format: 1 online resource (pages cm)
    Edition: 1st ed.
    ISBN: 0-8213-9924-1
    Series Statement: World Bank e-Library.
    Content: If not addressed in time, climate change is expected to exacerbate Nigerias currentvulnerability to weather swings and limit its ability to achieve and sustain the objectivesof Vision 20:2020 [as defined in http://www.npc.gov.ng /home/doc.aspx?mCatID=68253].The likely impacts include: A long-term reduction in crop yields of 20-30 percent Declining productivity of livestock, with adverse consequences on livelihoods Increase in food imports (up to 40 percent for rice long term) Worsening prospects for food security, particularly in the north and the southwest A long-term decline in GDP of up to 4.5 percentThe impacts may be worse if the economy diversifies away from agriculture more slowlythan Vision 20:2020 anticipates, or if there is too little irrigation to counter the effects ofrising temperatures on rain-fed yields. Equally important, investment decisions made on the basis of historical climate may bewrong: projects ignoring climate change might be either under- or over-designed, withlosses (in terms of excess capital costs or foregone revenues) of 20-40 percent of initialcapital in the case of irrigation or hydropower.Fortunately, there is a range of technological and management options that make sense,both to better handle current climate variability and to build resilience against a harsherclimate: By 2020 sustainable land management practices applied to 1 million hectares can offsetmost of the expected shorter-term yield decline; gradual extension of these practices to50 percent of cropland, possibly combined with extra irrigation, can also counter-balancelonger-term climate change impacts. Climate-smart planning and design of irrigation and hydropower can more than halvethe risks and related costs of making the wrong investment decision.The Federal Government could consider 10 short-term priority responses to buildresilience to
    Content: both current climate variability and future change through actions toimprove climate governance across sectors, research and extension in agriculture,hydro-meteorological systems; integration of climate factors into the design of irrigationand hydropower projects, and mainstreaming climate concerns into priority programs,such as the Agriculture Transformation Agenda.
    Note: "The report was prepared by a World Bank team led by Raffaello Cervigni and including (in alphabetical order) Abimbola A. Adubi, Ademola Braimoh, Amos Abu, Anushika Karunaratne, Benedicte Marie Cecile Augeard , Beula Selvadurai, Ella Omomene Iklaga, Erik Magnus Fernstrom, Francesca Fusaro, Irina Dvorak, Joseph Ese Akpokodje, Rikard Liden, Sarwat Hussain, Shobha Shetty, Stephen Danyo, Stephen Ling. Onno Ruhl, former Country Director for Nigeria, provided guidance and institutional support." , Introduction -- , Country and sector background -- , Methodology of analysis -- , Climate projections and their uncertainty -- , Climate change impact analysis -- , Adaptation options in the agriculture and water sectors -- , Conclusions and recommendations. , English
    Additional Edition: ISBN 0-8213-9923-3
    Additional Edition: ISBN 1-299-70571-5
    Language: English
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