8-12 sept 2014 2b5. soil fertility and tree crops world agroforestry science week

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


Land Degradation Surveillance Framework (LDSF)


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

8

Cocoa - CDI

Ermias Betemariam, World Agroforestry Science Week 8-12 Sept 2014, Nairobi |


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



10

Land Health Projects (ii)


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13


14


15


16


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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

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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)

18


Vegetation Health

Context

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2. Table 12.2: Estimated tree density


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Soil Health


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Estimated inherent soil degradation risk


LDSF is flexible


BiomassBiodiversity

8-12 sept 2014 2b5. soil fertility and tree crops world agroforestry science week

Documents

land health indicators

public health surveillance

contentland health projects

quantifying health problems

soil fertility

soil conditions

minutesermias betemariam

impact of land use practices