Assessing mitigation options to reduce greenhouse gas emissions from agriculture at farm and...

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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

description

Presentation of Ibrahim Wanyama at 2013 workshop of the Climate Food and Farming Network: http://ccafs.cgiar.org/climate-food-and-farming-network

Transcript of Assessing mitigation options to reduce greenhouse gas emissions from agriculture at farm and...

Page 1: Assessing mitigation options to reduce greenhouse gas emissions from agriculture at farm and landscape level in the CCAFS Rakai block - Uganda

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

Page 2: Assessing mitigation options to reduce greenhouse gas emissions from agriculture at farm and landscape level in the CCAFS Rakai block - Uganda

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

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Run simulations of effect of different management practices on GHG and yields- Landscape DNDC model

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Study Area

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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

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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

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Land-use change

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1954 2012

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Land-use changes at Landscape scale

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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

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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

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Flux measurement

Manual static chamber method

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Gas chromatography (ECD and FID- detectors)

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THANK YOU

ILRI SAMPLES project IITA CLIFF Network

CLIFF Network Workshop, Foulum