assessing mitigation options to reduce greenhouse gas emissions from agriculture at farm and...
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Presentation of Ibrahim Wanyama at 2013 workshop of the Climate Food and Farming Network: http://ccafs.cgiar.org/climate-food-and-farming-networkTRANSCRIPT
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Assessing mitigation options to reduce greenhouse gas emissions from agriculture at farm and landscape level in the CCAFS Rakai block - Uganda
Wanyama Ibrahim 1. Prof. Dr. Klaus Butterbach-Bahl 2. Dr. Rufino Mariana 3. Dr. Piet Van Asten
CLIFF Network Workshop, Foulum
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Background
CLIFF Network Workshop, Foulum
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
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Cont. 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
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Objectives
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 types- Hotspots
To evaluate the impact of land-use on GHG fluxes
CLIFF Network Workshop, Foulum
Main Objective Specific objectives/ Expectations
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Specific objectives
CLIFF Network Workshop, Foulum
Run simulations of effect of different management practices on GHG and yields- Landscape DNDC model
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Study Area
CLIFF Network Workshop, Foulum
Bimodal Rainfall pattern (1200mm)
Undulating topography
Small-holder farmers dominated
Diversified farming practices and landscape
Rakai Site 10X10 km CCAFS site
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Approach
CLIFF Network Workshop, Foulum
Land Use, Field type Analysis and soil types
1. Potential GHG 2. SOC stocks
GHG inventory
Model Parametersation validation Testing
Aerial Photos, satellite images, topographic sheets, soil
Farm characterization data (IMPACTLITE)
Land use, field types and inventory
1. Core samples
2. Soil sample
Field GHG measurements
Simulations at plot and landscape scale
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Clusters
3 dominant soil types • Profile description
Topo-sequence description- DEM
CLIFF Network Workshop, Foulum
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Land-use change
CLIFF Network Workshop, Foulum
1954 2012
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Land-use changes at Landscape scale
CLIFF Network Workshop, Foulum
Land Use type
Area in 1954 (Ha)
Area in 1988 (Ha)
Area in 2012 (Ha)
Seasonal Wetland 235 174.7 112 Permanent Wetland 161 139 135
Natural Forest 207 * 0
Eucalyptus 0 * 225
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Total land size of subplots
0
50
100
150
200
250
300
350
400
450
Tota
l Are
a (A
cres
Area occupied by the land-use type
subplot Area
Various intercrops
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Plot level- inputs
Crop Total
number ofsub-plots
Mulched sub-plots
Fertilized sub-plots
Manured sub-plots
Minimum Tillage (Herbicide)
Banana 337 76 1 29 30Coffee 271 6 3 12 31
Tomatoes 32 20 5 11 5Maize 456 1 5 6 26Beans 389 3 1 1 12
CLIFF Network Workshop, Foulum
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Land use types
CLIFF Network Workshop, Foulum
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
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Flux measurement
Manual static chamber method
CLIFF Network Workshop, Foulum Fluxes rates
Gas chromatography (ECD and FID- detectors)
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THANK YOU
ILRI SAMPLES project IITA CLIFF Network
CLIFF Network Workshop, Foulum