Demand-Side Greenhouse Gas Emission Mitigation in Agri-food Systems in Low- and Middle-Income Countries: A Protocol for Evidence and Gap Map of Sustainable Dietary Shifts, Food Loss and Waste Reduction, and Food-Mileage Interventions

BackgroundAgri-food systems are a major source of greenhouse gas (GHG) emissions, and the Intergovernmental Panel on Climate Change (IPCC) recognises demand-side measures, particularly sustainable dietary shifts and food loss and waste reduction, as important mitigation pathways, with food-mileage reduction a complementary strategy. Yet existing syntheses draw overwhelmingly on high-income settings: in a recent meta-analysis of 139 demand-side studies, European countries alone accounted for 75% of food-consumption studies. Food-mileage interventions and cost-effectiveness outcomes are rarely mapped. Evidence from low- and middle-income countries (LMICs), where most future growth in livestock-product consumption is projected, remains poorly characterised. This evidence and gap map (EGM) therefore aims to characterise the nature and distribution of evidence on demand-side GHG mitigation interventions in LMIC agri-food systems.MethodsAgricultural systems around the world are being impacted by climate stressors and hazards. These shocks are felt disproportionately by agricultural producers in LMICs due to existing socio-economic vulnerabilities. In this context, climate adaptation interventions seek to catalyze adaptation processes and outcomes to help producers manage impacts and reduce climate-induced risks to their livelihoods. These interventions and their effectiveness are assessed through a variety of ways, including output and outcomes indicators as a part of M&E systems, qualitative measures of coping capacity, and quantitative resilience indices. Collectively, these concepts represent different approaches to measuring adaptation and constitute the primary focus of this review.

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Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24128352
Primary Topic
Agriculture Sustainability and Environmental Impact
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article
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article

Demand-Side Greenhouse Gas Emission Mitigation in Agri-food Systems in Low- and Middle-Income Countries: A Protocol for Evidence and Gap Map of Sustainable Dietary Shifts, Food Loss and Waste Reduction, and Food-Mileage Interventions

Kevin Ouma Ojiambo, Michelle Alison North, Howard White, Sarah Young et al.
Zenodo (CERN European Organization for Nuclear Research)
Agriculture Sustainability and Environmental Impact
article

Demand-Side Greenhouse Gas Emission Mitigation in Agri-food Systems in Low- and Middle-Income Countries: A Protocol for Evidence and Gap Map of Sustainable Dietary Shifts, Food Loss and Waste Reduction, and Food-Mileage Interventions

Kevin Ouma Ojiambo, Michelle Alison North, Howard White, Sarah Young, Carrel Fokou, Shalu Jain, Liping Guo
article en

Abstract

BackgroundAgri-food systems are a major source of greenhouse gas (GHG) emissions, and the Intergovernmental Panel on Climate Change (IPCC) recognises demand-side measures, particularly sustainable dietary shifts and food loss and waste reduction, as important mitigation pathways, with food-mileage reduction a complementary strategy. Yet existing syntheses draw overwhelmingly on high-income settings: in a recent meta-analysis of 139 demand-side studies, European countries alone accounted for 75% of food-consumption studies. Food-mileage interventions and cost-effectiveness outcomes are rarely mapped. Evidence from low- and middle-income countries (LMICs), where most future growth in livestock-product consumption is projected, remains poorly characterised. This evidence and gap map (EGM) therefore aims to characterise the nature and distribution of evidence on demand-side GHG mitigation interventions in LMIC agri-food systems.MethodsAgricultural systems around the world are being impacted by climate stressors and hazards. These shocks are felt disproportionately by agricultural producers in LMICs due to existing socio-economic vulnerabilities. In this context, climate adaptation interventions seek to catalyze adaptation processes and outcomes to help producers manage impacts and reduce climate-induced risks to their livelihoods. These interventions and their effectiveness are assessed through a variety of ways, including output and outcomes indicators as a part of M&E systems, qualitative measures of coping capacity, and quantitative resilience indices. Collectively, these concepts represent different approaches to measuring adaptation and constitute the primary focus of this review.

Zenodo (CERN European Organization for Nuclear Research)
Carnegie Mellon University (US), Lanzhou University (CN)
Agriculture Sustainability and Environmental Impact
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