Record Details

Soil Survey to Characterize 2 Sentinel Sites (CIAT)

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Field Value
 
Title Soil Survey to Characterize 2 Sentinel Sites (CIAT)
 
Identifier https://doi.org/10.7910/DVN/KLPHCG
 
Creator International Center for Tropical Agriculture (CIAT)
Selian Agricultural Research Institute (SARI)
 
Publisher Harvard Dataverse
 
Description

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:

 
Subject Agricultural Sciences
Social Sciences
soil analysis
TANZANIA
EAST AFRICA
AFRICA SOUTH OF SAHARA
AFRICA
 
Language English
 
Date 2015-07-12
 
Contributor IFPRI-KM
Kihara, Job (International Center for Tropical Agriculture (CIAT))
Winowiecki, Leigh (World Agroforestry Center (ICRAF))
Masawe, P. (Selian Agricultural Research Institute (SARI))
United States Agency for International Development (USAID)
 
Type Agronomy data