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Soil Survey to Characterize 2 Sentinel Sites (CIAT)

Domaine:

agriculture

Type de record:

dataset
Créateur:
IntSel
Éditeur:
IntSelIntKih
Éditeur:
Har
Hôte:avatar

The Land Degradation Surveillance Framework (LDSF) used by AfSIS was employed to conduct a systematic biophysical assessment of various ecological and soil health metrics. The LDSF was based on a hierarchical spatially stratified, random sampling approach consisting of 100 km2 sentinel landscapes, which were statistically representative of the variability in climate, topography, and vegetation of the study area under consideration. To predict soil properties for areas where samples were not collected, relatively large number of samples from representative locations were taken. To overcome the huge cost of analyzing large soil samples using conventional laboratory techniques, near and mid-infrared spectroscopy approaches were used.

About the project

Project title: Identification of the Key Biophysical Production Constraints to Crops and Livestock at Farm and Landscape Levels

Project abstract

The project undertakes soil survey to characterize 2 sentinel sites (Long and Matufa); and agronomic survey to estimate farmers' actual yield.

Project website:

Project start date: 01/11/2012

Project end date : 01/10/2013

6

Visit

doi.orgdataverse.harvard.edu

Tags

Agricultural SciencesSocial Sciencessoil analysisTANZANIAEAST AFRICAAFRICA SOUTH OF SAHARAAFRICAAgricultural research

Licenses

info:eu-repo/semantics/closedAccessCustom terms specific to this datasethttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/KLPHCG

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