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Livestock MRV at national level

  1. © UNIQUE forestry and land use GmbH© UNIQUE forestry and land use GmbH LIVESTOCK MRV AT NATIONAL LEVEL East Africa awareness raising workshop Timm Tennigkeit
  2. Context: country ambitions Livestock included in NDC Type of mitigation objective Livestock NAMA in development Ethiopia  Reduction compared to BAU Kenya  Reduction compared to BAU  Tanzania  Reduction compared to BAU Uganda  Reduction compared to BAU  With aims for poverty reduction, meeting growing consumption demand for livestock products and ambition to limit GHG impacts, all 4 countries’ NDCs propose emission reductions compared to BAU scenario: increased productivity with lower emission intensity
  3. Current sources of investment in livestock sector 3 Investment by farmers the main source: • How can climate finance support further investment by farmers? • How can mitigation ambition leverage additional, well-targeted international investment? 0 200 400 600 800 1000 1200 1400 1600 1800 2000 Ethiopia Tanzania Uganda Kenya FDI ODA public on-farm investment Source: FAOSTAT; UNCTAD; IFPRI SPEED; OECD-CRS
  4. Trends in ODA in the livestock sector 4 0% 10% 20% 30% 40% 50% 60% 70% 0 100 200 300 400 500 600 700 2010 2011 2012 2013 2014 2015 East Africa total mitigation adaptation Most ODA funds for livestock sector in the region are marked with adaptation benefits; the proportion marked with mitigation benefits is also increasing Source: OECD-CRS
  5. Potential of climate finance? 5 Source: CPI (2017) Global Landscape of Climate Finance 382 0 50 100 150 200 250 300 350 400 450 2016 mitigation REDD+ dual benefits adaptation Globally, most climate finance is for mitigation Question is: how to tap into climate finance by aligning • national ambitions for mitigation • mitigation opportunities • sources of finance Ability to measure and report mitigation effects is a key requirement to access mitigation finance
  6. Key MRV elements at national level 6 NDC BAU scenario GHG inventory NAMA MRV Donor reporting National MRV systems have several components Few countries have all the elements in place, especially for the livestock sector What are the challenges and options?
  7. Challenge number 1 7 NDC BAU scenario GHG inventory NAMA MRV Donor reporting NDCs target increased production output, with lower GHG emission intensity. How to measure change?
  8. Tier 2 approach needed… 8 Source: GRA & CCAFS (2017) …to measure GHG effects of livestock productivity improvements Tier 1 approach Tier 2 approach All East African countries’ inventories use a Tier 1 approach, where emissions only change with a change in animal population. A Tier 2 approach is needed to capture effects of productivity improvement.
  9. Challenge number 2 9 NDC BAU scenario GHG inventory NAMA MRV Donor reporting Emission reductions are compared to a BAU scenario: How to develop the BAU scenario for the sector and for specific mitigation interventions?
  10. Developing BAU scenarios using a Tier 2 approach 10 Source: Kenya National Climate Change Action Plan Kenya INDC BAU for livestock is based on a linear projection of historical trends, using a Tier 1 approach where only animal numbers change This is aligned with the Tier 1 inventory, but not able to reflect change in productivity, e.g. due to dairy sector investments
  11. Kenya’s NAMA BAU is based on requirements to meet policy target of per capita milk consumption of 200 liters per year 11 Source: Kenya Dairy NAMA feasibility study Kenya dairy NAMA’s BAU scenario is based on policy projections: • How to align with NDC BAU scenario? • How to revise BAU over time? Elements of Kenya’s MRV system will need to be aligned over time
  12. Challenge number 3 12 NDC BAU scenario GHG inventory NAMA MRV Donor reporting Aligning NAMA MRV system with GHG inventory and donor MRV systems
  13. Challenge number 3 13 Source: Kenya Dairy NAMA feasibility study MRV approaches in Kenya’s dairy NAMA Mitigation measure MRV method Links with GHG inventory Links with donor reporting Energy efficiency in milk processing Energy audits No links; dairy sector energy use is small part of national energy emissions Ex ante energy audits commonly used by donors Biogas CDM methodologies Different baselines depending on fuel sources displaced; biogas not in national inventory CDM methodologies most likely widely accepted Dairy productivity Gold Standard methodology GS methodology uses Tier 2 approach; now trying to align with national inventory May need to increase donors’ understanding of new methodologies GHG sources and sinks affected by livestock mitigation actions are not limited to livestock-specific GHG sources in the GHG inventory. MRV of mitigation actions must be designed to follow the logic of intervention, while also aligning with GHG inventory and meeting donors’ requirements.
  14. Conclusions 14 1. Building capacities for Tier 2 approaches in national MRV systems will be essential 2. Close coordination and cooperation between MRV institutions is needed 3. MRV systems can be improved and converge over time 4. Mitigation interventions provide an opportunity to begin the journey… NDC BAU scenario GHG inventory NAMA MRV Donor reporting
  15. Schnewlinstr. 10 79098 Freiburg, Germany Tel: +49 761 208534 – 0 unique@unique-landuse.de www.unique-landuse.de © UNIQUE forestry and land use GmbH Contact: Timm Tennigkeit (Timm.Tennigkeit@unique-landuse.de) Wilkes A, Reisinger A, Wollenberg E, van Dijk S. 2017. Measurement, reporting and verication of livestock GHG emissions by developing countries in the UNFCCC: current practices and opportunities for improvement. CCAFS Report No. 17. Wageningen, the Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and Global Research Alliance for Agricultural Greenhouse Gases (GRA). http://hdl.handle.net/10568/89335
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