Land Health Surveillance: Mapping Soil Carbon in Kenyan Rangelands
Land health surveillance is a methodological framework for measuring and monitoring land healththe capacity of land to sustain delivery of ecosystem servicesfor the purpose of targeting agroforestry and other sustainable land management in landscapes, and assessing their impacts. It is modelled on s...
| Autores principales: | , , |
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| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2012
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| Acceso en línea: | https://hdl.handle.net/10568/34526 |
| _version_ | 1855535312159113216 |
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| author | Vågen, Tor-Gunnar Davery, F.A. Shepherd, Keith D. |
| author_browse | Davery, F.A. Shepherd, Keith D. Vågen, Tor-Gunnar |
| author_facet | Vågen, Tor-Gunnar Davery, F.A. Shepherd, Keith D. |
| author_sort | Vågen, Tor-Gunnar |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Land health surveillance is a methodological framework for measuring and monitoring land healththe capacity of land to sustain delivery of ecosystem servicesfor the purpose of targeting agroforestry and other sustainable land management in landscapes, and assessing their impacts. It is modelled on scientific principles used in surveillance in the public health sector, which has a long history of evidence-informed policy and practice. Key elements of the science methodological framework are (1) probability-based sampling of well-defined populations of sample units; (2) standardized protocols for data collection to enable statistical analysis of patterns, trends, and associations; and (3) multilevel statistical modelling of land health attributes at different scales, including in relation to satellite imagery for spatial interpolation. The framework was applied in assessing soil carbon in Kenyan rangelands in Laikipia. Systematic probability-based field sampling provided a robust baseline on condition in the study area. Infrared spectroscopy was used in the laboratory as a rapid low-cost tool for estimating soil carbon concentration. The georeferenced soil carbon values were modelled to reflectance values of fine resolution (2 m) satellite imagery and spatially interpolated over the 100-km2 sampling block. The combination of methods makes soil carbon baselines feasible at a landscape level in land management projects and provides much additional information on soil and vegetation health for targeting interventions. The land health surveillance approach could form the basis for evidence-based decision making on land management at project, national, and even continental levels. |
| format | Book Chapter |
| id | CGSpace34526 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2012 |
| publishDateRange | 2012 |
| publishDateSort | 2012 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace345262024-06-26T09:37:37Z Land Health Surveillance: Mapping Soil Carbon in Kenyan Rangelands Vågen, Tor-Gunnar Davery, F.A. Shepherd, Keith D. Land health surveillance is a methodological framework for measuring and monitoring land healththe capacity of land to sustain delivery of ecosystem servicesfor the purpose of targeting agroforestry and other sustainable land management in landscapes, and assessing their impacts. It is modelled on scientific principles used in surveillance in the public health sector, which has a long history of evidence-informed policy and practice. Key elements of the science methodological framework are (1) probability-based sampling of well-defined populations of sample units; (2) standardized protocols for data collection to enable statistical analysis of patterns, trends, and associations; and (3) multilevel statistical modelling of land health attributes at different scales, including in relation to satellite imagery for spatial interpolation. The framework was applied in assessing soil carbon in Kenyan rangelands in Laikipia. Systematic probability-based field sampling provided a robust baseline on condition in the study area. Infrared spectroscopy was used in the laboratory as a rapid low-cost tool for estimating soil carbon concentration. The georeferenced soil carbon values were modelled to reflectance values of fine resolution (2 m) satellite imagery and spatially interpolated over the 100-km2 sampling block. The combination of methods makes soil carbon baselines feasible at a landscape level in land management projects and provides much additional information on soil and vegetation health for targeting interventions. The land health surveillance approach could form the basis for evidence-based decision making on land management at project, national, and even continental levels. 2012 2014-02-02T16:39:50Z 2014-02-02T16:39:50Z Book Chapter https://hdl.handle.net/10568/34526 en Limited Access Springer Vagen, T-G., Davery, F.A. and Shepherd, K.D. (2012) Land Health Surveillance: Mapping Soil Carbon in Kenyan Rangelands. In P.K. Ramachandran Nair and D. Garrity (eds) Agroforestry - The Future of Global Land Use. Springer, Dordrecht, pp. 455-462. |
| spellingShingle | Vågen, Tor-Gunnar Davery, F.A. Shepherd, Keith D. Land Health Surveillance: Mapping Soil Carbon in Kenyan Rangelands |
| title | Land Health Surveillance: Mapping Soil Carbon in Kenyan Rangelands |
| title_full | Land Health Surveillance: Mapping Soil Carbon in Kenyan Rangelands |
| title_fullStr | Land Health Surveillance: Mapping Soil Carbon in Kenyan Rangelands |
| title_full_unstemmed | Land Health Surveillance: Mapping Soil Carbon in Kenyan Rangelands |
| title_short | Land Health Surveillance: Mapping Soil Carbon in Kenyan Rangelands |
| title_sort | land health surveillance mapping soil carbon in kenyan rangelands |
| url | https://hdl.handle.net/10568/34526 |
| work_keys_str_mv | AT vagentorgunnar landhealthsurveillancemappingsoilcarboninkenyanrangelands AT daveryfa landhealthsurveillancemappingsoilcarboninkenyanrangelands AT shepherdkeithd landhealthsurveillancemappingsoilcarboninkenyanrangelands |