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FAO Tools to Support
NAMA MRV in Agriculture
Dr Kaisa Karttunen
1 June 2015
UN Climate Change Negotiations, Bonn
Food and ...
FAO Tools to Support NAMA MRV in Agriculture
FAO provides supports to Member countries on baseline determination
and MRV o...
Overcoming knowledge barriers - New FAO NAMA learning
tool for agriculture and land use sector
Module 1
Climate change and...
Module 4: Monitoring, reporting and verification (MRV)
The MRV Module of the FAO NAMA tool provides information on:
• MRV ...
FAOSTAT emissions database
FAO also provides a step-by-step guide for the estimation
of GHG emissions available in three l...
New Emissions Analysis Tools supporting NAMAs to be
launched in 2015
• Regional Overview tool: Gives users an overview of ...
GLEAM in support of NAMA
What is GLEAM?
• Global Livestock Environmental Accounting Model (GLEAM) is a Tier 2
livestock se...
GLEAMS’s support to a Dairy NAMA in Kenya
GLEAM is used as a tool to support:
• upscaling of methodology for the certifica...
Thank you for your attention
For further information contact: micca@fao.org
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FAO Tools to Support the Measuring, Reporting and Verification of Nationally Appropriate Mitigation Actions in Agriculture

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www.fao.org/climatechange/micca/policies-namas/

Content:
The slides present three tools used by FAO to support Member countries in their baseline determination and MRV (Measurement Reporting and Verification) of NAMAs (Nationally Appropriate Mitigation Actions) in the agriculture, forestry and other land use (AFOLU) sector:
•Online Learning Tool on NAMAs in the AFOLU sector
•FAOSTAT Emissions Database and Analysis Tools
•Global Livestock Environmental Assessment Model (GLEAM)

The talk was given by Dr Kaisa Karttunen, Senior Natural Resources Officer, FAO on 1 June 2015 at the UN Climate Change Conference, Bonn, Germany.
© FAO www.fao.org
micca@fao.org

Published in: Education
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FAO Tools to Support the Measuring, Reporting and Verification of Nationally Appropriate Mitigation Actions in Agriculture

  1. 1. FAO Tools to Support NAMA MRV in Agriculture Dr Kaisa Karttunen 1 June 2015 UN Climate Change Negotiations, Bonn Food and Agriculture Organization of the United Nations (FAO)
  2. 2. FAO Tools to Support NAMA MRV in Agriculture FAO provides supports to Member countries on baseline determination and MRV of NAMAs in agriculture, forestry and other land use (AFOLU) sector. • Online Learning Tool on NAMAs in the AFOLU • FAOSTAT Emissions Database and Analysis Tools • Global Livestock Environmental Assessment Model (GLEAM) GLEAM FAOSTAT Emissions databaseOnline learning
  3. 3. Overcoming knowledge barriers - New FAO NAMA learning tool for agriculture and land use sector Module 1 Climate change and agriculture Module 2 Background on NAMAs Module 3 Step by Step NAMA development Module 4 Monitoring, reporting and verification (MRV) Module 5 NAMA financing Structure of the tool To support its member countries FAO developed a NAMA tool for agriculture, forestry and other land use which helps agriculture sector stakeholders get started with NAMA identification and planning. Format Web-based detailed guidance, Now available for individual online learning through the MICCA, FAO website: http://bit.ly/fao-nama-tool
  4. 4. Module 4: Monitoring, reporting and verification (MRV) The MRV Module of the FAO NAMA tool provides information on: • MRV plan components • NAMA impact monitoring methodologies • GHG and non-GHG indicators • Baseline determination and Ex-post assessment of the NAMA impacts • Tools and materials supporting NAMA implementation and MRV: – emissions databases (e.g. FAOSTAT) – estimation models (e.g. GLEAM) – GHG emission calculators (e.g. EX-ACT) and – land use assessment tools (e.g. Collect Earth) • Reporting and verification process of NAMAs impacts • Institutional arrangements for MRV.
  5. 5. FAOSTAT emissions database FAO also provides a step-by-step guide for the estimation of GHG emissions available in three languages: Estimating Greenhouse Gas Emissions in Agriculture: A Manual to Address Data Requirements for Developing Countries The database supports NAMA MRV process through provision of: • Activity data collected from member countries and GHG emission estimates • Baselines based on projections to 2030 and 2050 for agriculture categories • GHG emission estimates (Tier 1) which can serve as a reference for quality assurance purposes.
  6. 6. New Emissions Analysis Tools supporting NAMAs to be launched in 2015 • Regional Overview tool: Gives users an overview of emissions from the agriculture and land use sectors for one or more countries and enables trend analysis • QA-QC and Verification tool: Enables QA/QC and verification of data, including the identification of inconsistencies in the GHG inventory. • Indicators tool: Allows users to analyze emissions indicators, expressed as carbon intensity per unit product of a given commodity, against productivity at country and regional level. • Geo-referenced data tool: Enables browsing and downloading of geo- referenced data (e.g. data on land cover, livestock, climate). Geo-referenced data QA-QC and Verification Indicators Regional Overview
  7. 7. GLEAM in support of NAMA What is GLEAM? • Global Livestock Environmental Accounting Model (GLEAM) is a Tier 2 livestock sector specific biophysical model based on GIS which adopts a life cycle assessment approach. – Assesses emissions and emission intensities from livestock supply chains – Assesses technical mitigation potential of interventions and their impact on productivity – Covers main 11 global livestock commodities, and predominant livestock production systems Supports countries in the development of NAMAs  define baseline scenario and support countries to identify and set priorities for the livestock sector  measure impacts of mitigation actions for the livestock sector  quantify sustainable development benefits e.g. productivity gains
  8. 8. GLEAMS’s support to a Dairy NAMA in Kenya GLEAM is used as a tool to support: • upscaling of methodology for the certification and monitoring of emission reductions for the NAMA; • generation of national emissions factors for the NAMA; • identification of cost-effective mitigation actions; and • development of monitoring approach tested at farm, cooperative, county and national level. For more information: www.fao.org/gleam/
  9. 9. Thank you for your attention For further information contact: micca@fao.org

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