Monitoring, reporting and verification
in NAMAs using SAMPLES
Todd Rosenstock, H Neufeldt, J Hickman, M Rufino, K Butterbach-Bahl, E Wollenberg, D
Pelster, L Verchot, C Arias-Navarro, G Saiz, E Diaz-Pines, M Richards, D Gil-Kim+
SBSTA 42 | Bonn | 5 June 2015

Why do we need more and better data?
Low-emissions
development
Global negotiations
Climate finance
Based on existing data, we know very little
about African agricultural GHG fluxes

3
Nitrous oxide emissions from increasing
fertilizer use in Africa
• Government subsidy
programs
• NGOs (e.g., Alliance for
Green Revolution in
Africa)

• Used in private sector
(Unilever), MRV (Gold
Standard), & farmers
• Differ in input
requirements, speed of
assessment and ease of use
• Largely based on the same
input data and models
Impact assessment with ‘GHG calculators’
Colomb et al. 2012
REVIEW OF GHG CALCULATORS IN
AGRICULTURE AND FORESTRY
SECTORS
A Guideline for Appropriate Choice and
Use of Landscape Based Tools
Version 2.0
Authors
Vincent COLOMB (Lead Author, IRD, UMR Eco&Sols)
Martial BERNOUX (Coordinator, IRD, UMR Eco&Sols, martial.bernoux@ird.fr)
Louis BOCKEL (Policy Officer, FAO)
Jean-Luc CHOTTE (IRD, UMR Eco&Sols)
Sarah MARTIN (ADEME, Agriculture and Forest Service)
Cécile MARTIN-PHIPPS (ADEME, International Affairs Division)
Jérôme MOUSSET (ADEME, Agriculture and Forest Service)
Marianne TINLOT (Junior Consultant, FAO)
Ophélie TOUCHEMOULIN (Junior Consultant, FAO)
June, 2012

Small-scale spatial heterogeneity
Context-
specific
measurement
methods
At ~4
time points
Ultimately we need more data
Nyando, Kenya

Beyond field measurements of emissions
The Problem
GHG= f(EF,activity)
The Approach Outcome
Variable &
uncertain
Accuracy unknown
Comparatively little
effort
MRV and inventories
based on activities
Arial
photo
Crowd
sourcing
Remote
sensing
Enabling carbon
finance and robust
national policy
Rapid
assessments
e.g. scorecards

Activities
Mapping pro-
poor mitigation
opportunities
Measurement
guidelines
Capacity
development
Integrated
assessment of
farming systems
Priorities for
research and
development
Consistent and
comparable data
Human and
institutional
infrastructure
Socially
acceptable,
place-based
solutions
CCAFS’ Standard Assessment of Mitigation
Potential and Livelihoods (SAMPLES) Programme
http://samples.ccafs.cgiar.org
ActivitiesOutcomes

Thanks for a future