Soil Survey to Characterize 2 Sentinel Sites (CIAT)

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, w...

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Detalles Bibliográficos
Autores principales: International Center for Tropical Agriculture, Selian Agricultural Research Institute
Formato: Conjunto de datos
Lenguaje:Inglés
Publicado: International Food Policy Research Institute 2015
Materias:
Acceso en línea:https://hdl.handle.net/10568/144663
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author International Center for Tropical Agriculture
Selian Agricultural Research Institute
author_browse International Center for Tropical Agriculture
Selian Agricultural Research Institute
author_facet International Center for Tropical Agriculture
Selian Agricultural Research Institute
author_sort International Center for Tropical Agriculture
collection Repository of Agricultural Research Outputs (CGSpace)
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. 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: http://africa-rising.net/
format Conjunto de datos
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institution CGIAR Consortium
language Inglés
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher International Food Policy Research Institute
publisherStr International Food Policy Research Institute
record_format dspace
spelling CGSpace1446632025-04-24T19:51:16Z Soil Survey to Characterize 2 Sentinel Sites (CIAT) International Center for Tropical Agriculture Selian Agricultural Research Institute soil analysis 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. 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: http://africa-rising.net/ 2015 2024-06-04T09:44:22Z 2024-06-04T09:44:22Z Dataset https://hdl.handle.net/10568/144663 en Open Access International Food Policy Research Institute International Center for Tropical Agriculture; Selian Agricultural Research Institute. 2015. Soil Survey to Characterize 2 Sentinel Sites (CIAT). Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/KLPHCG. Harvard Dataverse. Version 1.
spellingShingle soil analysis
International Center for Tropical Agriculture
Selian Agricultural Research Institute
Soil Survey to Characterize 2 Sentinel Sites (CIAT)
title Soil Survey to Characterize 2 Sentinel Sites (CIAT)
title_full Soil Survey to Characterize 2 Sentinel Sites (CIAT)
title_fullStr Soil Survey to Characterize 2 Sentinel Sites (CIAT)
title_full_unstemmed Soil Survey to Characterize 2 Sentinel Sites (CIAT)
title_short Soil Survey to Characterize 2 Sentinel Sites (CIAT)
title_sort soil survey to characterize 2 sentinel sites ciat
topic soil analysis
url https://hdl.handle.net/10568/144663
work_keys_str_mv AT internationalcenterfortropicalagriculture soilsurveytocharacterize2sentinelsitesciat
AT selianagriculturalresearchinstitute soilsurveytocharacterize2sentinelsitesciat