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Book (stand-alone)Greenhouse Gas Emissions from the Dairy Sector: A Life Cycle Assessment 2010
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ProjectBuilding National Capacity to Measure, Report and Verify Greenhouse Gas Emissions from Thailand’s Forest and Land Use Sector - UTF/THA/034/THA 2021
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No results found.The Conference of the Parties (COP) to the United Nations Framework Convention on Climate Change (UNFCCC) has adopted a forestry greenhouse gas (GHG) emission mitigation mechanism known as “REDD+”, which will provide positive incentives to developing countries to voluntarily reduce their rates of deforestation and forest degradation and increase their forest carbon stocks, as part of a post 2020 global climate change agreement reached at COP 21 in Paris in 2015 (the “Paris Agreement”). The objective of the project was to support Thailand, in particular the Department of National Parks, Wildlife and Plant Conservation, in establishing a Forest Reference Emission Level (FRL) for REDD+, as well as a Measurement, Monitoring and Reporting (MMR) component of the National Forest Monitoring System (NFMS). -
BookletHow does the Dairy Modernization and Market Access (DiMMA) programme in Georgia contribute to greenhouse gas emissions and food security? 2024
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No results found.The Dairy Modernization and Market Access (DiMMA) programme in Georgia aims to improve the productivity of smallholder dairy farming systems through better nutrition and feeding, veterinary care leading to better animal health, and breed improvements. In addition, it aims to strengthen the resilience of farmers to cope with the adverse effects of climate change via improved pasture management practices, capacity development measures, and facilitating stakeholder engagement and policy dialogues. The aim of this study is to report the impact of DiMMA programme on greenhouse gas (GHG) emissions for both total emissions and emissions intensity (i.e. emissions produced per unit of product), food security (shown in protein production) and resource use (shown in feed intake) for two scenarios: without project (WOP) representing the case without any improvements to herd, feed and manure parameters; and with project (WP) representing the situation with project improvements on herd structure, feeding and manure management over the project timeline. The scenarios with which the impact of WP were evaluated cover a combination of interventions including improved breeding via artificial insemination (AI), improved feeding and nutrition via pasture improvement, training and value chain improvements, and improved manure management via trainings and value chain improvements.
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