Feliciano Tool for geographic optimization mitigation options Nov 12 2014
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The document describes CCAFS-MOT, a decision support tool for estimating greenhouse gas emissions from different land use systems and agricultural management practices. It estimates emissions based on empirical models using variables like climate, soil characteristics, ecosystems, and management practices. The tool also ranks the effectiveness of different mitigation options and estimates their mitigation potential. It is intended to be user-friendly and provide quick overviews and advice to policymakers.
Feliciano Tool for geographic optimization mitigation options Nov 12 2014
- 1. CCAFS – MOT: A decision support tool for geographic op;misa;on of agricultural mi;ga;on op;ons (ongoing work) Dali Nayak, Jon Hillier, Diana Feliciano & Sylvia VeJer University of Aberdeen Rome 12.10.2014
- 2. Low emissions agriculture: Suppor3ng agricultural development that GHG emissions or sequesters carbon.
- 3. What it does -‐ Es3mate GHG emissions for different land use systems according to management types; -‐ Rank the most effec3ve mi3ga3on op3ons; -‐ Es3mate the mi3ga3on poten3al of different op3ons. What it does not do -‐ Es3mate life cycle assessment of GHG emissions; -‐ Scale emissions up to total area, total livestock; -‐ Es3mate GHG emissions in different microclimates; -‐ ….
- 4. Main objec3ve of CCAFS-‐MOT -‐ User friendly -‐ LiJle ;me required -‐ It widely used -‐ Quick user vs expert user -‐ General overview of key emission sources -‐ Tool to help providing advice for policy makers -‐ Accommodates regional differences
- 5. GHG emissions: main input variables are flexible • Region, climate, soil characteris;cs • Ecosystem: upland (34 crops + other), rice, grassland • Current management prac;ces: user can choose which prac3ces they are using (e.g. fer3liser applica3on rate, 3llage prac3ces).
- 6. Mi;ga;on op;ons and poten;al
- 7. Empirical models to es;mates GHG emissions Land use Parameters Empirical models Rice Mineral fer3liser applica3on Water regime Yan et al. (2005) Compost applica3on Manure applica3on Upland crops and grassland Organic fer3liser applica3on Stehfest and Bouwman (2006) Mineral fer3liser applica3on Stehfest and Bouwman (2006) Organic amendments Smith et al. (1997) Mineral fer3liser produc3on China -‐ Zhang et al. (2013) Europe -‐ Brentrup & Palliere (2014) World -‐ IFA (2009) Livestock systems Enteric fermenta3on Herrero et al. 2013 Manure management
- 8. Mi3ga3on prac3ces • Mi;ga;on prac;ces: 12 prac;ces + agroforestry (3 systems included). -‐ Balanced mineral nitrogen (N) applica3on -‐ Nitrifica3on inhibitor/Polymer-‐coated fer3liser -‐ Timing of mineral nitrogen applica3on -‐ Best fer3liser produc3on technology (Europe) -‐ Reduced 3llage/No 3llage -‐ Straw addi3on/Residue incorpora3on -‐ Cover crops -‐ Manure addi3on -‐ Compost applica3on -‐ Agroforestry
- 9. Brentrup & Palliere (2010) • Nitrogen Use Efficiency (NUE)= Kg N removed with harvest / Kg of mineral fertilizer N applied * 100. 85%
- 10. How does it look like?
- 11. Ques;ons/feedback • Are you familiar with the mi3ga3on op3ons suggested? • Would you like to see more informa3on than what is currently presented? What is missing? • What is the difference from other tools? • Other sugges3ons…
- 12. Acknowledgements • This work was undertaken as part of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), which is a strategic partnership of CGIAR and Future Earth. This research was carried out with funding by the European Union (EU) and with technical support from the Interna3onal Fund for Agricultural Development (IFAD). The views expressed in the document cannot be taken to reflect the official opinions of CGIAR, Future Earth, or donors.
- 13. Many thanks!!!!