landdegradation dynamics(ldd) · land degradation dynamicsare spatially assessedacross...

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Funded by the European Union Land Degradation Dynamics (LDD) Land Degradation Dynamics (LDD) The objective of component two of the Regreening Africa project is equipping partners in the 8 project countries with surveillance and analytical tools on land degradation dynamics to support strategic decision-making and monitoring in the scaling-up of evergreen agriculture. Land degradation dynamics are spatially assessed across landscapes for the project action areas. Data on indicators of land and soil health are collected in the field and analysed to understand drivers of degradation, prioritise areas for implementation of interventions and monitor changes over time. Partners are trained in systematic field data collection using the LDSF and data interpretation. Regreening Africa

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Page 1: LandDegradation Dynamics(LDD) · Land degradation dynamicsare spatially assessedacross landscapesfor theproject Dataonindicatorsofland actionareas. andsoilhealthare collectedinthefieldand

Funded by the European Union

LandDegradationDynamics (LDD)LandDegradationDynamics (LDD)

The objective of component two of the Regreening Africaproject is equipping partners in the 8 project countries withsurveillance and analytical tools on land degradationdynamics to support strategic decision-making andmonitoring in the scaling-up of evergreen agriculture.

Landdegradationdynamics arespatiallyassessed acrosslandscapes forthe projectaction areas.Data on indicators of land

and soil health arecollected in the field andanalysed to understanddrivers of degradation,prioritise areas forimplementation ofinterventions andmonitorchanges over time.

Partners aretrained insystematic fielddata collectionusing the LDSFand datainterpretation.

Regreening Africa

Page 2: LandDegradation Dynamics(LDD) · Land degradation dynamicsare spatially assessedacross landscapesfor theproject Dataonindicatorsofland actionareas. andsoilhealthare collectedinthefieldand

Rwanda

Soil erosion

Soil organiccarbon

These two box-plot graphs showresults of soilorganic carbon(SOC) analysisfrom the plotssampled in thefield.

Spatial predictions of soil erosion prevalence based on LDSF field observations (data) andearth observation using Landsat 8, scaling the results of the surveys conducted in theRegreening Africa project to the country of Rwanda. The spatial resolution is 30m on theground and erosion hotspots are shown in orange and red.

The overall accuracy of this model is 75% for detection of erosion as shown on the right.

Page 3: LandDegradation Dynamics(LDD) · Land degradation dynamicsare spatially assessedacross landscapesfor theproject Dataonindicatorsofland actionareas. andsoilhealthare collectedinthefieldand

A farmer’s fielddelineated in Ghana aspart of household surveysconducted in theMELcomponent of the project.

The project is linking results fromhousehold and on-farm surveys todiagnostics and spatial assessmentsof vegetation cover, woody coverand land health to better understandsocial-ecological factors influencingregreening trends.

With spatial assessments at highresolution, the results of the LDDcomponent of the project can beused to target land degradation hot-spot areas for intervention and totrack progress over time.

Household surveys areconducted across theRegreening Africa actionareas. This example isfromGhana.

Funded by the European Union

October 2019

Contacts:[email protected]@cgiar.org