Soil and land health survey to characterize two-100 km2 sites using the Land Degradation Surveillance Framework (LDSF) within Babati district, Tanzania
This was Task 1.2. Soil survey to characterize two sentinel sites as part of Work Package 1 Identification of the key biophysical production constraints to crops and livestock at farm and landscape levels The aim of this task was to conduct an assessment of soil and land health in the Babati dis...
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| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
| Publicado: |
2015
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| Acceso en línea: | https://hdl.handle.net/10568/77680 |
| _version_ | 1855536012724273152 |
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| author | Winowiecki, Leigh Ann |
| author_browse | Winowiecki, Leigh Ann |
| author_facet | Winowiecki, Leigh Ann |
| author_sort | Winowiecki, Leigh Ann |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This was Task 1.2. Soil survey to characterize two sentinel sites as part of Work Package 1 Identification of the key biophysical production constraints to crops and livestock at farm and landscape levels The aim of this task was to conduct an assessment of soil and land health in the Babati district in Tanzania covering the action villages of the USAID- AfricaRISING project. The Land Degradation Surveillance Framework (LDSF) was employed to conduct a systematic biophysical baseline of key land and soil health metrics, which was to be combined with agronomic survey data collected as part of the wider project. The LDSF is designed to provide a biophysical baseline at landscape level, and a monitoring and evaluation framework for assessing processes of land degradation and the effectiveness of rehabilitation measures (recovery) over time. Babati Agricultural District Office and Tanzania National Agricultural Research System as well as Sokoine University of Agriculture (SUA) staff were involved in two one-week trainings in the LDSF methodology at the Long and Matufa LDSF sites. Those trained include: Majid Suleiman (District Agricultural Officer), Edgar Wakurwa (District Agronomist), Mbwambo (Extension Officer), Prosper Massawe from Selian Agricultural Research Institute and Boniface Massawe, from SUA. George Sayula of SARI also helped coordinate the field efforts. Local farmers were also involved in the surveys and farmer knowledge on management practices and land use history was incorporated into the LDSF database. |
| format | Conjunto de datos |
| id | CGSpace77680 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| record_format | dspace |
| spelling | CGSpace776802024-04-25T06:01:33Z Soil and land health survey to characterize two-100 km2 sites using the Land Degradation Surveillance Framework (LDSF) within Babati district, Tanzania Winowiecki, Leigh Ann landscape soil degradation land and soil health soil This was Task 1.2. Soil survey to characterize two sentinel sites as part of Work Package 1 Identification of the key biophysical production constraints to crops and livestock at farm and landscape levels The aim of this task was to conduct an assessment of soil and land health in the Babati district in Tanzania covering the action villages of the USAID- AfricaRISING project. The Land Degradation Surveillance Framework (LDSF) was employed to conduct a systematic biophysical baseline of key land and soil health metrics, which was to be combined with agronomic survey data collected as part of the wider project. The LDSF is designed to provide a biophysical baseline at landscape level, and a monitoring and evaluation framework for assessing processes of land degradation and the effectiveness of rehabilitation measures (recovery) over time. Babati Agricultural District Office and Tanzania National Agricultural Research System as well as Sokoine University of Agriculture (SUA) staff were involved in two one-week trainings in the LDSF methodology at the Long and Matufa LDSF sites. Those trained include: Majid Suleiman (District Agricultural Officer), Edgar Wakurwa (District Agronomist), Mbwambo (Extension Officer), Prosper Massawe from Selian Agricultural Research Institute and Boniface Massawe, from SUA. George Sayula of SARI also helped coordinate the field efforts. Local farmers were also involved in the surveys and farmer knowledge on management practices and land use history was incorporated into the LDSF database. 2015 2016-11-10T12:15:28Z 2016-11-10T12:15:28Z Dataset https://hdl.handle.net/10568/77680 en Open Access Winowiecki, Leigh. 2015. Soil and land health survey to characterize two-100 km2 sites using the Land Degradation Surveillance Framework (LDSF) within Babati district, Tanzania. |
| spellingShingle | landscape soil degradation land and soil health soil Winowiecki, Leigh Ann Soil and land health survey to characterize two-100 km2 sites using the Land Degradation Surveillance Framework (LDSF) within Babati district, Tanzania |
| title | Soil and land health survey to characterize two-100 km2 sites using the Land Degradation Surveillance Framework (LDSF) within Babati district, Tanzania |
| title_full | Soil and land health survey to characterize two-100 km2 sites using the Land Degradation Surveillance Framework (LDSF) within Babati district, Tanzania |
| title_fullStr | Soil and land health survey to characterize two-100 km2 sites using the Land Degradation Surveillance Framework (LDSF) within Babati district, Tanzania |
| title_full_unstemmed | Soil and land health survey to characterize two-100 km2 sites using the Land Degradation Surveillance Framework (LDSF) within Babati district, Tanzania |
| title_short | Soil and land health survey to characterize two-100 km2 sites using the Land Degradation Surveillance Framework (LDSF) within Babati district, Tanzania |
| title_sort | soil and land health survey to characterize two 100 km2 sites using the land degradation surveillance framework ldsf within babati district tanzania |
| topic | landscape soil degradation land and soil health soil |
| url | https://hdl.handle.net/10568/77680 |
| work_keys_str_mv | AT winowieckileighann soilandlandhealthsurveytocharacterizetwo100km2sitesusingthelanddegradationsurveillanceframeworkldsfwithinbabatidistricttanzania |