Climate Smart Agriculture : : Building Resilience to Climate Change.

• Superior document: Natural Resource Management and Policy Series ; v.52
• Author: Lipper, Leslie.
• TeilnehmendeR: McCarthy, Nancy.; Zilberman, David.; Asfaw, Solomon.; Branca, Giacomo.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2017.; ©2018.
• Year of Publication: 2017
• Edition: 1st ed.
• Language: English
• Series: Natural Resource Management and Policy Series
• Physical Description: 1 online resource (629 pages)

Table of Contents

Intro -- Foreword -- Acknowledgments -- Contents -- Contributors -- Part I: Overview and Conceptual Framework -- Introduction and Overview -- 1 Overview of the Book -- 1.1 Part I. Conceptual Chapters -- 1.2 Part II. Country Case Studies -- 1.2.1 Vulnerability Measurement and Assessment -- 1.2.2 Policy Response to Improving Adaptation and Adaptive Capacity -- 1.2.3 System Level Response to Improving Adaptation and Adaptive Capacity -- 1.2.4 Farm Level Response to Improving Adaptation and Adaptive Capacity -- 1.3 Part III. Policy Synthesis and Conclusion -- A Short History of the Evolution of the Climate Smart Agriculture Approach and Its Links to Climate Change and Sustainable Agriculture Debates -- 1 Introduction -- 1.1 The Evolution of Climate Change Policy -- 2 Overview of CSA -- 3 Key Features and Evolution of the CSA Concept -- 4 CSA Controversies in the Broader Policy Context -- 4.1 The Role of Mitigation and Carbon Finance in CSA -- 5 CSA and Sustainable Agriculture -- 6 Conclusion -- References -- Economics of Climate Smart Agriculture: An Overview -- 1 Introduction -- 2 CSA: The Objectives of the Social Planner -- 3 The Constraints Facing the Social Planner -- 4 The Social Planner's Choice Set -- 5 Towards a Socially Optimal Solution: Expected Features of Model Outcomes -- 6 Concluding Comments -- References -- Innovation in Response to Climate Change -- 1 Introduction -- 2 The Impact of Climate Change on Agriculture and the Implications -- 2.1 Rising Temperatures and Migrating Weather -- 2.2 Rising Sea Levels -- 2.3 Increased Snowmelt and Timing of Irrigation -- 2.4 Increased Probability of Extreme Events -- 2.5 Discussion -- 3 Innovations for Climate Smart Agriculture -- 3.1 Technological Innovations -- 3.1.1 Micro, Farm-Level Approaches -- 3.1.2 Farm System Approaches -- 3.2 Managerial Innovations -- 3.2.1 Micro, Farm-Level Approaches.

3.2.2 Farm System Approaches -- 3.3 Institutional Innovations -- 3.3.1 Innovations as Part of CSA Programs -- 3.3.2 Institutions for Enhancing Various Adaptation Strategies -- 4 Overcoming Barriers to Innovation in the Era of Climate Change -- 4.1 Research and Refinement -- 4.2 Commercialization/Adoption -- 4.3 Discussion -- 5 Conclusion -- References -- Part II: Case Studies: Vulnerability Measurements and Assessment -- Use of Satellite Information on Wetness and Temperature for Crop Yield Prediction and River Resource Planning -- 1 Introduction -- 2 Methodology -- 3 Application -- 3.1 Monitoring Crop Yield -- 3.2 Monitoring River Flow -- 3.3 River Basin Management: The Case of the Mekong -- 3.3.1 Description of the Model -- 3.3.2 Applying the BWI to the Mekong Economic Model -- 3.3.3 Results of the Economic Model -- 4 Concluding Discussion -- References -- Early Warning Techniques for Local Climate Resilience: Smallholder Rice in Lao PDR -- 1 Introduction -- 2 Background -- 2.1 Overview of Climate Conditions -- 2.2 Extreme Events -- 2.3 Rice Production -- 2.3.1 Production Systems -- 2.3.2 Irrigation -- 2.4 The Physiological Relationship Between Rice and Weather Inputs -- 2.4.1 The Role of Water -- 2.4.2 The Role of Temperature -- 3 Analysis I: Estimating the Relationship Between Rice and Climate Change -- 3.1 Methods -- 3.1.1 Average Weather Models -- Equation 1: Panel Model of Average Weather Effects -- Equation 2: Panel Model of Average Weather Effects -- 3.1.2 Modeling Extreme Events -- Equation 3: Panel Model of Extreme Event Effects -- 3.2 Data -- 3.2.1 Rice Yields -- 3.2.2 Weather Conditions -- 3.2.3 Extreme Events -- 3.2.4 Data Limitations -- 3.3 Results -- 3.3.1 Evaluating the Model -- 4 Analysis II: Projecting Future Rice Production Under Climate Change -- 4.1 Climate Projections -- 4.1.1 Selecting GCM Models -- 4.1.2 Downscaling Methods.

4.1.3 Climate Projections for Lao PDR -- 4.2 Yield Projections -- 4.2.1 Methods -- 4.2.2 Results -- 5 Summary and Outlook -- 6 Conclusions and Extensions -- Appendix - Rice Yield Regression Model Results (Figs. 6, 7, 8, and 9) -- References -- Farmers' Perceptions of and Adaptations to Climate Change in Southeast Asia: The Case Study from Thailand and Vietnam -- 1 Introduction -- 2 Theoretical Background -- 3 Study Regions and Data -- 4 Empirical Strategy -- 5 Descriptive Results -- 6 Results of Econometric Analysis -- 7 Summary and Conclusions -- References -- U.S. Maize Yield Growth and Countervailing Climate Change Impacts -- 1 Introduction -- 2 Data Sources and Summary Statistics -- 3 Crop Yield Model and Climate Change Impacts -- 4 Results and Discussion -- 4.1 Model Results and Warming Impacts -- 4.2 Warming Impacts Against Technological Progress -- 5 Conclusion -- References -- Understanding Tradeoffs in the Context of Farm-Scale Impacts: An Application of Decision-Support Tools for Assessing Climate Smart Agriculture -- 1 Introduction -- 2 AgBiz Logic as a Decision Support Tool for Addressing CSA -- 3 Addressing the Farm-Scale Tradeoffs Associated with Changes in Climate -- 3.1 Initial Setup and Baseline Scenario -- 3.2 Exploring Climate Change Impacts and Investments in Alternative Cropping Systems -- 3.3 Profitability of Implementing Investment Strategies -- 3.4 Assessing Climate Change Implications for Agricultural Leases -- 4 Assessing Environmental Impacts -- 5 Toward Landscape-Scale Tradeoff Analysis: Linking to the TOA-MD Platform -- 6 Data Requirements for the TOA-MD Model and How It Links to Farm-Scale Decision Support Tools -- 7 Conclusions -- Appendix A: How AgBiz Logic Works and Its Web-Based Presence -- References -- Part III: Case Studies: Policy Response to Improving Adaptation and Adaptive Capacity.

Can Insurance Help Manage Climate Risk and Food Insecurity? Evidence from the Pastoral Regions of East Africa -- 1 The Logic of Insurance as a Device to Mitigate the Impacts of Climate Change on Food Insecurity -- 1.1 Theoretical Model of the Ex Post and Ex Ante Impacts of Insurance on Poverty -- 1.2 Analysis of Climate Change Scenarios -- 2 Index Insurance as a Solution: Livestock Insurance in the Pastoral Regions of East Africa -- 2.1 Designing the IBLI Index Insurance Contract -- 2.2 Impacts of the IBLI Contract on Ex Post Coping and Ex Ante Investment -- 3 Limitations to Index Insurance as a Solution for Climate Change and Food Insecurity -- 3.1 The Quality Challenge to Index Insurance -- 3.2 IBLI's Quality Effort and Remaining Weaknesses -- 3.3 The Way Forward -- 4 Conclusions -- References -- Can Cash Transfer Programmes Promote Household Resilience? Cross-Country Evidence from Sub-Saharan Africa -- 1 Introduction -- 2 Overview of selected SCT Programmes in SSA -- 3 Role of Cash Transfer for Building Resilience: Review of Selected Evidence -- 4 Methodology -- 4.1 Programme Evaluation Design and Data -- 4.2 Analytical Methods -- 5 Results and Discussion -- 5.1 Can Cash Transfer Promote Ex-Post Risk Management? -- 5.2 Can Cash Transfer Contribute to Managing Climate Risk? -- 5.3 Potential of Cash Transfer to Promote Ex-Ante Risk Management -- 5.3.1 Impacts on Accumulation of Productive Assets -- 5.3.2 Impacts on Crop Production and Productivity -- 5.3.3 Impacts on Non-farm Enterprises -- 5.4 Can Cash Transfer Promote Resilience by Enhancing Food Security? -- 5.4.1 Impact on Food Security -- 5.4.2 Impact on Consumption Expenditure -- 5.4.3 Impact on Dietary Diversity -- 6 Conclusions and Implications -- References -- Input Subsidy Programs and Climate Smart Agriculture: Current Realities and Future Potential -- 1 Introduction.

2 Defining Climate Smart Agriculture -- 3 ISP Implementation Modalities and CSA in Africa -- 4 Can ISPs Promote Household-Level Ex Ante Risk Management? -- 4.1 Review of Evidence to Date -- 4.2 Looking Forward: Can ISPs Contribute to Climate Smart Farm Management Practices? -- 4.3 How Confident Are We That We Know Which Farming Practices Contribute to CSA and SI? -- 5 Can ISPs Promote System-Wide Ex Ante Risk Management? -- 5.1 Potential Opportunities -- 5.2 Potential Challenges -- 6 Can ISPs Promote Household-Level Ex Post Coping Mechanisms? -- 7 Can ISPs Promote System-Wide Ex Post Coping Potential? -- 8 Summary and Implications for ISPs -- 8.1 Unresolved Issues for Future Research -- 8.2 Concluding Remarks -- Appendix 1: Estimating the Contribution of Increased Fertilizer Use to Greenhouse Gas Emissions -- References -- Part IV: Case Studies: System Level Response to Improving Adaptation and Adaptive Capacity -- Robust Decision Making for a Climate-Resilient Development of the Agricultural Sector in Nigeria -- 1 Introduction -- 2 Methodological Approach -- 2.1 Climate Projections and Their Uncertainty -- 2.2 Crop Modeling: Impacts on Yields -- 2.3 Hydrological Modeling: Impacts on Water Availability -- 2.4 Macro-economic Analysis -- 2.5 Adaptation Strategies in Agriculture -- 2.6 Costs of Adaptation Options -- 2.7 RDMA for Irrigation Infrastructures -- 3 Results and Discussion -- 3.1 Climate Projections and Their Uncertainty -- 3.2 Impact Analysis on Crop Yields -- 3.3 Water Availability Impact Analysis -- 3.4 Macro-economic Impacts -- 3.5 Adaptation Options in the Agriculture and Water Sectors -- 3.5.1 Adaptation Through Sustainable Land Management Practices -- 3.5.2 Costs of Adaptation -- 3.5.3 Robust Decision Making Approach for Irrigation Infrastructure -- 4 Conclusions and Recommendations -- References.

Using AgMIP Regional Integrated Assessment Methods to Evaluate Vulnerability, Resilience and Adaptive Capacity for Climate Smart Agricultural Systems.