The document discusses technical support roles for climate smart agriculture (CSA) programs. It includes: 1) Designing programs, monitoring and evaluation, implementation support, and situation analysis. 2) Developing tools to target households and locations for CSA options, including Bayesian networks and spatial targeting. 3) Providing practical guides for CSA implementation at national and local levels.

1. Technical support for
Christine Lamanna, Todd Rosenstock (ICRAF)
Caitlin Corner-Dolloff, Evan Girvetz (CIAT)

2. Activities
Designing
programming
Monitoring and
evaluation
Implementation
support
Situation
analysis
Targeting and
prioritizing
options
Indicators and
monitoring systems
Practical guides,
capacity
development
Readiness,
institutional,
risks and
vulnerability
The roles technical partners in ACSAA

3. (a) Banana (B) Common bean (C) Cassava
(D) Finger millet (E) Groundnut (F) Maize
(G) Pearl millet (H) Sorghum (I) Yam
Climate
Change
Impacts
to Key
Crops
---
2050
RCP 8.5
Emissions
Scenario
Percent Area Suitable for
2050 Relative to Historical
Period
Climate (situation) analysis
Ramirez et al. unpublished

4. Policy (situation) analysis
A Comprehensive Scoping and Assessment Study of
Climate Smart Agriculture (CSA) Policies in
Namibia
30 APRIL 2014
BY
Prof Irvin DT Mpofu and Dr Patricia N. Petrus
P Bag 13301
Namibia
Email: impofu66@yahoo.com and ppetrus@unam.na
Commissioned by
The Food, Agriculture and Natural Resources Policy Analysis
Network (FANRPAN)
A Comprehensive Scoping and Assessment Study of
Climate Smart Agriculture (CSA) Policies in
Swaziland
30 April 2014
BY
A.M. MANYATSI
&
N. MHAZO
Commissioned by
The Food, Agriculture and Natural Resources Policy Analysis
Network (FANRPAN)
Draft

5. Developing tools for targeting households numbers
and locations

6. M
Bayesiannetworks
P4S
Tools to target and prioritize CSA options
Qualitative
Quantitative
Resources
SIE
PACCA
CBA,CSA-PF
Expert
Opinion
Participatory
Selection
Household
Stratification
P4S, PACCA
Scenarios
PACCA, CCAFS
Optimization
CSAP
Oxford/
Aberdeen
Mitigation Tool
MoT
ICRAF
IFPRI
CIAT
ILRI
Bioversity
Lead Organization
CSA-PF
MICCA
IRRI
Spatialtargeting
CCAFSEA,FP3-SEA
Rapid rural appraisal
IFAD
Crowd Sourcing
Bioversity, IFAD

7. Targeting water use technologies
Lamanna et al. unpublished
SAGCOT, Tanzania

8. Country CSA Programme
I. Preface by MoA &
MoE
II. Executive Summary
III. Situation Analysis
IV. Vision & Objectives
V. Results Area 1:
Productivity
VI. Results Area 2:
Resilience
VII.Results Area 3:
Mitigation co-benefits
VIII.Coordination
IX. Financing
X. Monitoring, reporting
& verification
Support program design at national levels

9. Practical guides for implementation
Thierfelder et al. unpublished

10. Δ Yield *
Δ Variability *
Δ Labor *
Δ Income *
Production
Δ Off farm CO2-eq emissions
Δ On farm CO2-eq emissions *
Δ Emissions intensity *
Mitigation
Δ (kg/ha/yr)
ΔSD(kg/ha/yr)
Δ (hr/ha/yr)
Δ(net $/ha/yr)
(LCA CO2eq/yr)
(g CO2eq/m2/yr)
(g CO2eq/m2/yr)
Pillar Sub IndicatorIndicator Measure
Δ C balance: soils and biomass *
Δ N2O emissions *
Δ CH4 emissions *
Δ (g C/m2/yr)
Δ BC emissions
Δ Albedo
Δ (g C/m2/yr)
Δ (g CH4/m2/yr)
Δ (g BC/m2/yr)
Δ (0-1 reflectivity coefficient and W/m2)
Δ Land use change
Δ GHGs from inputs
Δ (g CO2-eq/m2/yr)
Δ (g CO2-eq/m2/yr)
* Indicator also currently being included in CSA Compendium;
** Indicators currently being included in CSA compendium, but
different calculation being used
Indicators to evaluate practices
Corner-Dolloff et al. unpublished

11. ‘CSA-PLAN’
Toolbox for Ac on
Engagement
CSA Targets: How many farmer households, where?
Capacity Building
Indicators
CSA
Investment
Portfolios
Targeting & Prioritizing
Practices, Programs and Policies
Trade-offs & Value for Money
Vulnerability & Impacts + Readiness
Stocktaking
for CSA
Action
Situation Analysis
Risks and Enabling Conditions
Designing Programing
Guidelines & Implementation
Taking CSA
to Scale
Knowledge into Action
Evidence Based Results Framework
Learning
from
Experience
Monitoring and Evaluation
Across Scales and Systems