Soil Survey to Characterize 2 Sentinel Sites (CIAT)doi:10.7910/DVN/KLPHCGHarvard Dataverse2017-08-301International Center for Tropical Agriculture (CIAT); Selian Agricultural Research Institute (SARI), 2015, "Soil Survey to Characterize 2 Sentinel Sites (CIAT)", https://doi.org/10.7910/DVN/KLPHCG, Harvard Dataverse, V1Soil Survey to Characterize 2 Sentinel Sites (CIAT)doi:10.7910/DVN/KLPHCGInternational Center for Tropical Agriculture (CIAT)Selian Agricultural Research Institute (SARI)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)International Center for Tropical Agriculture (CIAT)Selian Agricultural Research Institute (SARI)2015-07-12Microsoft ExcelHarvard DataverseInternational Food Policy Research Institute (IFPRI)Kihara, JobIFPRI-KM2017-08-012015-12-07Biophysical SurveysAgricultural SciencesSocial Sciencessoil analysisTANZANIAEAST AFRICAAFRICA SOUTH OF SAHARAAFRICAAgricultural research<p>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. </p> <p><h4>About the project </h4></p> <p><b>Project title: Identification of the Key Biophysical Production Constraints to Crops and Livestock at Farm and Landscape Levels</b></p> <p><b> Project abstract </b></p> <p>The project undertakes soil survey to characterize 2 sentinel sites (Long and Matufa); and agronomic survey to estimate farmers' actual yield.</p> <p><b>Project website</b>: <http://africa-rising.net/</a></p> <p> <b>Project start date</b>: 01/11/2012 </p> <p><b> Project end date </b>: 01/10/2013 </p2014-03-012014-06-30Tanzania, United Republic ofAgronomy dataKihara J. 2013. Soil survey to characterize 2 sentinel sites Babati, Northern Tanzania. CIAT, Nairobi Kenya.<h3> IFPRI DATAVERSE TERMS OF USE </h3> By using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License.</a><br /> <a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a>001_ldsf-long-and-matufa-soil-data.xlsapplication/vnd.ms-excel