csa symposium 2016 - anne mottet day 1 session 2

2nd December - FAO HQ (Rome)

Ja REEACH/MICAF Climate-Smart Agriculture Symposium, September 13-14, 2016, Jamaica

GLEAM-iAn interactive tool to assess GHG

emissionsand mitigation potential in the livestock

sector 2nd December - FAO HQ (Rome)Anne Mottet

Livestock Policy Officer


http://www.fao.org/gleam/en/





Global animal production 2005-2050

+121%+92%+66%

+65%+62%+43%

Source: Alexandratos & Bruinsma, 2012



7.1 gigatonnes CO2-eq in 2005

Source: FAO GLEAM 1.0




The sector could cut down its emissions by 30%with already available technologies and practiceswhile maintaining or improving production





Options need to be tailored to country and production systems





GLEAM - Global Livestock Environment Assessment ModelA GIS tool initially developed to improve the understanding of GHG emissions in livestock supply chains, extended to natural resource use efficiency: feed, land use, nitrogen…• Life Cycle Assessment modelling, all steps of production, all

major sources of emissions

• Computes livestock production and IPCC Tier 2 emissions at local level (cells on a map)

• Can generate averages and ranges at different scales

• Allows for scenario analysis and assessment of mitigation options

• Developed at FAO, in collaboration with other partners



E.g. Feed digestibility for dairy cattle




E.g. Manure methane conversion factor for dairy cattle





Climate change study circle – February 8th

GLEAM-i (interactive)• Publicly available, user-

friendly tool for calculating emissions using Tier 2 methods in a single Excel file

• Designed to support governments, project planners and civil society organizations

• Can be used in the preparation of national inventories and in ex-ante evaluation of projects with interventions in livestock




• Calculate emissions from livestock supply chains at national, regional, global levels and by species and type of production systems

• Ex-ante assessment of technical interventions in the livestock sector (e.g. vaccination campaigns, feed quality improvements etc.)

• Support the design of Nationally Appropriate Mitigation Actions (e.g. productivity gains in dairy production in Kenya)

• Support the formulation of investment proposals for CSA (e.g. Ecuador, Niger, Zambia, Malawi, with GCF formulation)

• Cost-benefit assessment of mitigation options: Mitigation Abatements Cost Curves (spatially explicit)

GLEAM - Applications



Summary of mitigation options and potential for greenhouse gas emissions reduction in % of baseline

emissions) in 6 regional case studies

Source: Mottet et al., 2016




• Carbon sequestration module (work with INRA)

• Seasonality in feed rations (pilot in West Africa, work with WUR and CIRAD)

• Direct impact of feed quality on animal performances (weight gains and yields)

• Continuous refinement of parameters and production systems from working at country level

GLEAM – future developments for mitigation assessments




• Global and Tier 2

• Spatially explicit: emissions and production computed at pixel level, can generate ranges and averages at different levels (country, production system, region etc.)

• Biophysical: reproduces all stages of livestock supply chains in an LCA approach

• Mitigation scenarios: wide range of options and can be coupled with other models (e.g. grassland models for sequestration, economic data for MACCs)

• Can be used to generate Tier 2 EF database, but also livestock herd disaggregation, global feed rations, methane conversion factors from manure etc.

• Main limitation is accuracy of input parameters: need to be refined when working at country level because results quite sensible to certain parameters (yields, digestibility etc.)

GLEAM - Summary