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Part 1: Document Description
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Citation |
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Title: |
Soil Survey to Characterize 2 Sentinel Sites (CIAT) |
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Identification Number: |
doi:10.7910/DVN/KLPHCG |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2017-08-30 |
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Version: |
1 |
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Bibliographic Citation: |
International 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, V1 |
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Citation |
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Title: |
Soil Survey to Characterize 2 Sentinel Sites (CIAT) |
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Identification Number: |
doi:10.7910/DVN/KLPHCG |
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Authoring Entity: |
International Center for Tropical Agriculture (CIAT) |
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Selian Agricultural Research Institute (SARI) |
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Other identifications and acknowledgements: |
Kihara, Job (International Center for Tropical Agriculture (CIAT)) |
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Other identifications and acknowledgements: |
Winowiecki, Leigh (World Agroforestry Center (ICRAF)) |
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Other identifications and acknowledgements: |
Masawe, P. (Selian Agricultural Research Institute (SARI)) |
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Other identifications and acknowledgements: |
United States Agency for International Development (USAID) |
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Producer: |
International Center for Tropical Agriculture (CIAT) |
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Selian Agricultural Research Institute (SARI) |
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Date of Production: |
2015-07-12 |
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Software used in Production: |
Microsoft Excel |
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Distributor: |
Harvard Dataverse |
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Distributor: |
International Food Policy Research Institute (IFPRI) |
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Access Authority: |
Kihara, Job |
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Depositor: |
IFPRI-KM |
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Date of Deposit: |
2017-08-01 |
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Date of Distribution: |
2015-12-07 |
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Series Name: |
Biophysical Surveys |
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Holdings Information: |
https://doi.org/10.7910/DVN/KLPHCG |
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Study Scope |
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Keywords: |
Agricultural Sciences, Social Sciences, soil analysis, TANZANIA, EAST AFRICA, AFRICA SOUTH OF SAHARA, AFRICA |
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Topic Classification: |
Agricultural research |
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Abstract: |
<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 </p |
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Date of Collection: |
2014-03-01-2014-06-30 |
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Country: |
Tanzania, United Republic of |
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Kind of Data: |
Agronomy data |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Citation Requirement: |
Kihara J. 2013. Soil survey to characterize 2 sentinel sites Babati, Northern Tanzania. CIAT, Nairobi Kenya. |
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Notes: |
<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> |
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Other Study Description Materials |
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Label: |
001_ldsf-long-and-matufa-soil-data.xls |
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Notes: |
application/vnd.ms-excel |