The document discusses assessing mitigation options to reduce greenhouse gas (GHG) emissions from agriculture in the Rakai Block of Uganda. It outlines the objectives for identifying GHG mitigation strategies, quantifying soil organic carbon, and evaluating land-use impacts on GHG emissions. A landscape analysis was conducted involving various agricultural systems and soil types to understand GHG emissions and exchange dynamics.

1. Assessing mitigation options to reduce greenhouse gas emissions
from agriculture at farm and landscape level in the CCAFS Rakai
block - Uganda
1.
2.
3.
Wanyama Ibrahim
Prof. Dr. Klaus Butterbach-Bahl
Dr. Rufino Mariana
Dr. Piet Van Asten
CLIFF Network Workshop, Foulum

2. Background
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Agriculture is affected by climate change
However Agricultural activities and LUC are
responsible for GHG emissions (30%)
Greatest emissions originate from low and middle
income countries (74%)
Predominantly small holder based
Increasing population, more emission
CLIFF Network Workshop, Foulum

3. Cont.
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Therefore agriculture has potential to reduce
GHG
Need to understand Agricultural systems
No studies on emissions (Kim, 2011) Africa
Site specific data needed for mitigation options
Soil emissions are driven by environmental
factors
CLIFF Network Workshop, Foulum

4. Objectives
Main Objective

Specific objectives/ Expectations
Identify mitigation
options with respect to
GHG emissions



To quantify SOC, N and
GHG exchanges in the
dominant agricultural and
natural systems
To evaluate the potential
of GHG fluxes from
identified land-use typesHotspots
To evaluate the impact of
land-use on GHG fluxes
CLIFF Network Workshop, Foulum

5. Specific objectives

Run simulations of effect of different management
practices on GHG and yields- Landscape DNDC
model
CLIFF Network Workshop, Foulum

6. Study Area


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Rakai Site 10X10 km
CCAFS site
Bimodal Rainfall
pattern (1200mm)
Undulating
topography
Small-holder farmers
dominated
Diversified farming
practices and
landscape
CLIFF Network Workshop, Foulum

7. Approach
Farm
characterization
data
(IMPACTLITE)
Land Use, Field
type Analysis
and soil types
Aerial Photos,
satellite images,
topographic
sheets, soil
1. Core
samples
2. Soil
sample
1. Potential
GHG
2. SOC stocks
Field GHG
measurements
GHG inventory
Land use, field
types and
inventory
CLIFF Network Workshop, Foulum
Model
Parametersation
validation
Testing
Simulations at
plot and
landscape
scale

8. Clusters
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•
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3 dominant soil types
Profile description

Topo-sequence
description- DEM
CLIFF Network Workshop, Foulum

9. Land-use change
1954
2012
CLIFF Network Workshop, Foulum

10. Land-use changes at Landscape scale
Land Use
type
Seasonal
Wetland
Permanent
Wetland
Natural Forest
Eucalyptus
Area in
1954 (Ha)
Area in
Area in
1988 (Ha) 2012 (Ha)
235
174.7
112
161
139
135
207
*
0
0
*
225
CLIFF Network Workshop, Foulum

11. Total land size of subplots
Area occupied by the land-use type
450
Total Area (Acres
400
350
300
250
200
150
subplot Area
100
50
0
Various intercrops

12. Plot level- inputs
Crop
Total
Mulched
number of sub-plots
sub-plots
Fertilized
sub-plots
Manured Minimum
sub-plots Tillage
(Herbicide)
Banana
Coffee
337
271
76
6
1
3
29
12
30
31
Tomatoes
Maize
Beans
32
456
389
20
1
3
5
5
1
11
6
1
5
26
12
CLIFF Network Workshop, Foulum

13. Land use types
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Permanent wetlands
Seasonal wetlands
Eucalyptus forests in wetland
Eucalyptus in Other slope positions
Wetland converted to Arable land
Perennial systems
Annual systems
Grazing land
Natural Forests
CLIFF Network Workshop, Foulum

14. 

Flux measurement
Manual static chamber
method
Fluxes rates
Gas chromatography (ECD and
FID- detectors)
CLIFF Network Workshop, Foulum

15. THANK YOU

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ILRI
SAMPLES project
IITA
CLIFF Network
CLIFF Network Workshop, Foulum