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 perform...

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Main Authors: Wilkes, Andreas, Rosenstock, Todd S., Namoi, Nictor, Fraval, Simon
Format: Artículo preliminar
Language:Inglés
Published: CGIAR Research Program on Climate Change, Agriculture and Food Security 2018
Subjects:
Online Access:https://hdl.handle.net/10568/93408
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author Wilkes, Andreas
Rosenstock, Todd S.
Namoi, Nictor
Fraval, Simon
author_browse Fraval, Simon
Namoi, Nictor
Rosenstock, Todd S.
Wilkes, Andreas
author_facet Wilkes, Andreas
Rosenstock, Todd S.
Namoi, Nictor
Fraval, Simon
author_sort Wilkes, Andreas
collection Repository of Agricultural Research Outputs (CGSpace)
description 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.
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spelling CGSpace934082024-01-23T12:05:11Z Suitability of project M&E systems to support agricultural MRV: The case of the Kenya dairy NAMA Wilkes, Andreas Rosenstock, Todd S. Namoi, Nictor Fraval, Simon climate change food security agriculture dairy 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. 2018-06-19 2018-06-21T12:46:51Z 2018-06-21T12:46:51Z Working Paper https://hdl.handle.net/10568/93408 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security Wilkes A, Rosenstock TS, Namoi N, Fraval S. 2018. Suitability of project M&E systems to support agricultural MRV: The case of the Kenya dairy NAMA. CCAFS Working Paper no. 231. Wageningen, the Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
spellingShingle climate change
food security
agriculture
dairy
Wilkes, Andreas
Rosenstock, Todd S.
Namoi, Nictor
Fraval, Simon
Suitability of project M&E systems to support agricultural MRV: The case of the Kenya dairy NAMA
title Suitability of project M&E systems to support agricultural MRV: The case of the Kenya dairy NAMA
title_full Suitability of project M&E systems to support agricultural MRV: The case of the Kenya dairy NAMA
title_fullStr Suitability of project M&E systems to support agricultural MRV: The case of the Kenya dairy NAMA
title_full_unstemmed Suitability of project M&E systems to support agricultural MRV: The case of the Kenya dairy NAMA
title_short Suitability of project M&E systems to support agricultural MRV: The case of the Kenya dairy NAMA
title_sort suitability of project m e systems to support agricultural mrv the case of the kenya dairy nama
topic climate change
food security
agriculture
dairy
url https://hdl.handle.net/10568/93408
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