8-12 sept 2014 2b5. soil fertility and tree crops world agroforestry science week
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8-12 Sept 2014
2B5. Soil fertility and tree crops
World Agroforestry Science Week
Aim
2Ermias Betemariam, World Agroforestry Science Week 8-12 Sept 2014, Nairobi |
• Keith Shepherd: Some background information on Land Health and Decisions (10 minutes)
• Meine van Noordwijk: Impact of land use practices on soil conditions: LUFEP (Land Use Fertility Effect Predictor) (10 minutes)
• Ermias Betemariam: Land health projects (10 minutes)• Case studies (30 minutes):
– Malawi- Food security project (Joyce Njoloma)– Tanzania: Africa RISING project (Mathew Mpanda)– Rwanda: Trees for food security project (Athanase
Mukuralinda)– Cote d’Ivoire: V4C project (Lucien Diby)
• Discussions (30 minutes)
Ermias Betemariam | Hands-on soil infrared spectroscopy training course | Nairobi | Nov. 12, 2013 | 3
Content
Land Health Projects
No. Name of project
1Africa Soil Information Service (AfSIS)/Africa Soils (SSA)
2Strengthening capacity for diagnosis and management of soil micronutrient deficiencies (SSA)
3Soil monitoring protocol for the World Bank Living Standards Measurement Study (Ethiopia & ..)
4Carbon sequestration options in pastoral & agro-pastoral systems in Africa (Burkina Faso & Ethiopia)5Land health surveillance for high value biocarbon development (Kenya, Burkina Faso & Sierra
Leone)6Land health surveillance system for smallholder cocoa in Ivory Coast
7Trees for food security in Eastern Africa (Rwanda, Ethiopia, Burundi & Uganda)
8Land health surveillance for mitigation of climate change in agriculture (Kenya & Tanzania)
9Land health surveillance system in support of Malawi food security project (Malawi)
10Land health surveillance system for targeting agroforestry based interventions for sustainable land productivity in the western highlands of Cameroon
11A Protocol for Measurement and Monitoring Soil Carbon Stocks in Agricultural Landscapes
Land Health Projects (i)
4Ermias Betemariam, Erick Towett | Hands-on soil infrared spectroscopy training course | Nairobi | May 2014 |
Land Health Surveillance
Consistent field protocol
Soil spectroscopyCoupling with remote sensingPrevalence, Risk factors, Digital
mapping
Sentinel sites Randomized sampling schemes
5Ermias Betemariam, World Agroforestry Science Week 8-12 Sept 2014, Nairobi |
Land Degradation Surveillance Framework (LDSF)
6Ermias Betemariam, World Agroforestry Science Week 8-12 Sept 2014, Nairobi |
7Ermias Betemariam, World Agroforestry Science Week 8-12 Sept 2014, Nairobi |
Land Health out-scaling projects
Tibetan Plateau/ Mekong
Parklands Malawi
National surveillance systemsRegional Information Systems
Project baselines
Rangelands E/W AfricaSLM Cameroon MICCA E. Africa
Global-Continental Monitoring Systems
Evergreen Ag / Horn of Africa
CRP5 pan-tropical basins AfSIS
EthioSIS- Ethiopia
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Cocoa - CDI
Ermias Betemariam, World Agroforestry Science Week 8-12 Sept 2014, Nairobi |
Land Health Projects
No. Name of project
1Africa Soil Information Service (AfSIS)/Africa Soils (SSA)
3Soil monitoring protocol for the World Bank Living Standards Measurement Study (Ethiopia & ..)
4Carbon sequestration options in pastoral & agro-pastoral systems in Africa (Burkina Faso & Ethiopia)5Land health surveillance for high value biocarbon development (Kenya, Burkina Faso & Sierra
Leone)6Land health surveillance system for smallholder cocoa in Ivory Coast
7Trees for food security in Eastern Africa (Rwanda, Ethiopia, Burundi & Uganda)
8Land health surveillance for mitigation of climate change in agriculture (Kenya & Tanzania)
9Land health surveillance system in support of Malawi food security project (Malawi)
10Land health surveillance system for targeting agroforestry based interventions for sustainable land productivity in the western highlands of Cameroon
11A Protocol for Measurement and Monitoring Soil Carbon Stocks in Agricultural Landscapes
Land Health Projects
9Ermias Betemariam, World Agroforestry Science Week 8-12 Sept 2014, Nairobi |
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Land Health Projects (ii)
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Goal
• Strengthen the use of decision sciences and risk assessment in agricultural development and
• Deliver well-targeted information systems that reduce critical uncertainties and risks in key investment decisions facing stakeholders on improving land health and livelihoods
Decision Analysis and Risk Assessment
AfSIS: Soil functional propertiesFrom polygon-based to probabilistic mapping
+
Probability of observingcultivation
Current lime requirement ? ~ min [prob(pH < 5.5), prob(cult)]
Probability topsoil pH < 5.5 ... very acid soils
Grid-based probabilistic maps increases the reliability of the map and its power to be combined with other data sources (remote sensing & terrain data)
(Walsh, 2013)
=
Taxonomic soil classification systems provide little information on soil functionality in particular the productivity function (Mueller et al 2010)
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Ermias Betemariam | Hands-on soil infrared spectroscopy training course | Nairobi | Nov. 12, 2013 | 19
Vegetation Health
Context
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2. Table 12.2: Estimated tree density
Ermias Betemariam, World Agroforestry Science Week 8-12 Sept 2014, Nairobi |
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Soil Health
Ermias Betemariam, World Agroforestry Science Week 8-12 Sept 2014, Nairobi |
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Estimated inherent soil degradation risk
Ermias Betemariam, World Agroforestry Science Week 8-12 Sept 2014, Nairobi |
LDSF is flexible
Ermias Betemariam | Hands-on soil infrared spectroscopy training course | Nairobi | Nov. 12, 2013 | 23
BiomassBiodiversity
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