Suitability of project M&E systems to support agricultural MRV: The case of the Kenya dairy NAMA

Several countries are developing nationally appropriate mitigation actions (NAMAs) in the livestock sector. Compared to research on emission factors, much less attention has been paid to understanding systems for collecting activity data on change in livestock management practices and animal performance. This paper presents a framework for synthetic assessment of MRV systems based on UNFCCC criteria for credible MRV. The framework is applied to case studies of two existing monitoring and evaluation systems in Kenya’s dairy sector to investigate the extent to which these systems could be used as the basis for collection and reporting of activity data for a dairy sector NAMA in Kenya. Analysis of the case studies highlights three main findings: (i) codifying data collection, management procedures and roles is important for increasing transparency, while quality control and quality assurance systems play key roles in increasing confidence in data quality; (ii) milk yield is a key indicator used in estimating GHG emissions in the dairy sector, but further research is needed on potential sources of uncertainty and bias associated with different data collection methods; (iii) the involvement of multiple institutions in implementation of the sector- wide NAMA raises challenges related to the consistency and comparability between data collected by different institutions. Options for improvement in MRV practices will be determined to a large extent by the requirements of data users. These issues are not unique to Kenya’s dairy NAMA. Further assessment of the quality of activity data and the characteristics of credible MRV systems will support practical improvements in MRV for agricultural mitigation actions

Supporting participatory livestock feed improvement using the Feed Assessment Tool (FEAST)

Livestock production is central to the livelihoods of smallholder farmers in low- and middle-income countries, but livestock are often poorly fed which limits their potential for reducing poverty. Efforts to improve livestock nutrition are often driven by supply-push thinking and fail to engage meaningfully with farmers and the realities they face. The Feed Assessment Tool (FEAST) was developed as a way of involving farmers more closely in decision making on livestock feed improvement. FEAST is a participatory tool which uses focus group discussions and individual farmer interviews to develop a broad overview of the livestock farming system. FEAST has been applied in many countries in the last 10 years. Examples of intensive use come from the Accelerated Value Chain Development Project in Kenya and the Rwanda Dairy Development Project in Rwanda. In both cases the tool was used to inform feed options with strong input from farmers. Although the primary purpose of FEAST is to support improved feed strategies at farm level, the data collected through the FEAST app and published in FEAST reports are a rich information resource that can be useful for developing broader system-level understanding of livestock feed issues. FEAST data can be uploaded into a global data repository where they are available for researchers. These data are also used to generate visualizations of key feed metrics further extending the use of secondary data. FEAST is an example of a participatory tool that moves decision making in the direction of farmers, while providing insights to researchers working across farming systems. Its widespread use across many countries is an indication that it fills a gap in in the livestock feed development space. Its novelty lies in bridging the knowledge gap (both ways) between livestock researchers and small-scale livestock keepers

Review of life-cycle assessments of livestock production: Perspectives for application to environmental impact assessment in developing countries

This review draws on Life-Cycle Assessments (LCA) of livestock value chains. The current state of livestock LCAs is summarized, with an emphasis on limitations and lessons for a developing country context. Of the 149 LCAs reviewed, 19 incorporated developing countries. Key messages are: LCAs can be conducted for livestock value chains in developing countries; and, lessons can be learnt to improve the rigor of alternative methodologies including modeling, indicator specification, allocation of impact and incorporating sensitivity analysis. Further, results from existing LCAs provide a point of reference for future LCAs and sustainability assessments in developing countries

Towards climate-smart dairy development

Bill & Melinda Gates Foundatio