With the increasing population and accelerated urbanization, demands for water are rising for different sectors around the world, including in South Asia. Integrated water resource management (IWRM) offers a promising potential to address multifaceted water demands. This study therefore aimed to address this issue by (i) reviewing key issues related to water, land, and food in South Asian countries, (ii) exploring the prevalent irrigation management strategies in those countries, and (iii) examining the IWRM situation based on a Nepalese case study, and it proposes some options to support effective implementation of IWRM. South Asia, the home to 24% of the world's population with only 15% and 7% of the world's arable and permanent crop land and water resources, respectively, is the worst-affected region in the world from undernourishment. Surface irrigation is the dominant irrigation application method in the region, which incurs high water losses due to the lack of flexible water control structures in canal networks. The Nepalese case study revealed a lack of clear institutional arrangements to implement IWRM and disparate and conflicting views about IWRM. Creation and strengthening of basin-level water user organizations, technological improvements, and awareness-raising activities are some potential ways forward to implement IWRM.

In the Middle East and North Africa, food security and water security are tightly entwined. In particular, choices about the extent to which food security policies rely on trade rather than domestically produced staples have stark consequences for the region's limited water resources. This paper builds on previous modeling results comparing the cost and benefits of policies to protect consumers against surging international wheat prices, and expands the analysis to consider the consequences of the policies for water resources. A self-sufficiency policy is analyzed as well. Results suggest that trade-based food security policies have no significant effect on the sustainability of water resources, while the costs of policies based on self-sufficiency for water resources are high. The analysis also shows that while information about the water footprint of alternative production systems is helpful, a corresponding economic footprint that fully measures the resource cost of water is needed to concisely rank alternative policies in economic terms that are consistent with sustainable outcomes.

PR | IFPRI3; ISI; E Building Resilience | EPTD | CGIAR Research Program on Water, Land and Ecosystems (WLE)

This study summarizes the concept of the food-energy-water security nexus (FEW nexus). The aim is to create awareness about the importance of the nexus and to enable stakeholders to consider interconnections between the sectors in their work. The FEW nexus is discussed in the context of Africa south of the Sahara (SSA)—using Malawi and Mozambique as case studies. Even though analyzing food, energy, and water security issues simultaneously is critical given the interconnections, summarizing interventions with the FEW nexus approach in Malawi and Mozambique, we found that there are only a limited number of interventions in place. Additionally, this study reviews macro- and microeconomic models that are able to analyze the FEW nexus. On the macrolevel, especially general equilibrium models are discussed, because they show trade-offs and synergies of nexus interventions at all economic levels. These models can help guide policymakers’ understanding of nexus effects ex ante and convince them to think beyond their respective political departments. On the microlevel, the impact of nexus interventions can be assessed with qualitative and quantitative approaches. There are specific challenges for nexus interventions when it comes to aggregation and planning of the targeting. A secondary data analysis of nexus interventions shows that existing data is not sufficient to conduct research specifically related to the FEW nexus. The results of this study will help research programs to reflect the key questions required to enhance adoption of FEW technologies and inform policymakers as they formulate policies that will exploit the strong synergies of food security, energy, and water investments. | Non-PR | IFPRI1; A.2 Sustainable Natural Resource Policies; A Ensuring Sustainable food production; CRP2; Land Resource Management for Poverty Reduction | EPTD; PIM | CGIAR Research Program on Policies, Institutions, and Markets (PIM)

Accurate information on irrigated areas’ spatial distribution and extent are crucial in enhancing agricultural water productivity, water resources management, and formulating strategic policies that enhance water and food security and ecologically sustainable development. However, data are typically limited for smallholder irrigated areas, which is key to achieving social equity and equal distribution of financial resources. This study addressed this gap by delineating disaggregated smallholder and commercial irrigated areas through the random forest algorithm, a non-parametric machine learning classifier. Location within or outside former apartheid “homelands” was taken as a proxy for smallholder, and commercial irrigation. Being in a medium rainfall area, the huge irrigation potential of the Inkomati-Usuthu Water Management Area (UWMA) is already well developed for commercial crop production outside former homelands. However, information about the spatial distribution and extent of irrigated areas within former homelands, which is largely informal, was missing. Therefore, we first classified cultivated lands in 2019 and 2020 as a baseline, from where the Normalised Difference Vegetation Index (NDVI) was used to distinguish irrigated from rainfed, focusing on the dry winter period when crops are predominately irrigated. The mapping accuracy of 84.9% improved the efficacy in defining the actual spatial extent of current irrigated areas at both smallholder and commercial spatial scales. The proportion of irrigated areas was high for both commercial (92.5%) and smallholder (96.2%) irrigation. Moreover, smallholder irrigation increased by over 19% between 2019 and 2020, compared to slightly over 7% in the commercial sector. Such information is critical for policy formulation regarding equitable and inclusive water allocation, irrigation expansion, land reform, and food and water security in smallholder farming systems.

This study summarizes the concept of the food-energy-water security nexus (FEW nexus). The aim is to create awareness about the importance of the nexus and to enable stakeholders to consider interconnections between the sectors in their work. The FEW nexus is discussed in the context of Africa south of the Sahara (SSA)—using Malawi and Mozambique as case studies. Even though analyzing food, energy, and water security issues simultaneously is critical given the interconnections, summarizing interventions with the FEW nexus approach in Malawi and Mozambique, we found that there are only a limited number of interventions in place. Additionally, this study reviews macro- and microeconomic models that are able to analyze the FEW nexus. On the macrolevel, especially general equilibrium models are discussed, because they show trade-offs and synergies of nexus interventions at all economic levels. These models can help guide policymakers’ understanding of nexus effects ex ante and convince them to think beyond their respective political departments. On the microlevel, the impact of nexus interventions can be assessed with qualitative and quantitative approaches. There are specific challenges for nexus interventions when it comes to aggregation and planning of the targeting. A secondary data analysis of nexus interventions shows that existing data is not sufficient to conduct research specifically related to the FEW nexus. The results of this study will help research programs to reflect the key questions required to enhance adoption of FEW technologies and inform policymakers as they formulate policies that will exploit the strong synergies of food security, energy, and water investments.

Accurate information on irrigated areas’ spatial distribution and extent are crucial in enhancing agricultural water productivity, water resources management, and formulating strategic policies that enhance water and food security and ecologically sustainable development. However, data are typically limited for smallholder irrigated areas, which is key to achieving social equity and equal distribution of financial resources. This study addressed this gap by delineating disaggregated smallholder and commercial irrigated areas through the random forest algorithm, a non-parametric machine learning classifier. Location within or outside former apartheid “homelands” was taken as a proxy for smallholder, and commercial irrigation. Being in a medium rainfall area, the huge irrigation potential of the Inkomati-Usuthu Water Management Area (UWMA) is already well developed for commercial crop production outside former homelands. However, information about the spatial distribution and extent of irrigated areas within former homelands, which is largely informal, was missing. Therefore, we first classified cultivated lands in 2019 and 2020 as a baseline, from where the Normalised Difference Vegetation Index (NDVI) was used to distinguish irrigated from rainfed, focusing on the dry winter period when crops are predominately irrigated. The mapping accuracy of 84.9% improved the efficacy in defining the actual spatial extent of current irrigated areas at both smallholder and commercial spatial scales. The proportion of irrigated areas was high for both commercial (92.5%) and smallholder (96.2%) irrigation. Moreover, smallholder irrigation increased by over 19% between 2019 and 2020, compared to slightly over 7% in the commercial sector. Such information is critical for policy formulation regarding equitable and inclusive water allocation, irrigation expansion, land reform, and food and water security in smallholder farming systems.