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Land and Soil Health Assessment in the Nile-Congo Sentinel Landscape

The LDSF was carried out at two-100 km2 sites within the Nile-Congo Sentinel Landscape: Kericho in Kenya. The LDSF is a spatially stratified, randomized sampling design, developed to provide a biophysical baseline at landscape level and a monitoring and evaluation framework for assessing processes of land degradation and effectiveness of rehabilitation measures over time. Measured variables include: land cover, tree and shrub densities, tree biodiversity, erosion prevalence, infiltration capacity, along with an assessment of impact to habitat and occurrence of soil conservation structures. Soil samples were also collected (320 top (0-20 cm) and sub (20-50 cm) soil samples per site) and were processed in Burkina Faso. Processed samples were subjected to infrared spectroscopy and wet chemistry analysis. These combined data sets will be used to assess soil and ecosystem health for the landscape in more detail.

Dataset's Files

0.Disclaimer.pdf
MD5: 46ac594e688ae98d0b0828ceb42fbdcc


1. ldsfFieldGuide_2013_v4.pdf
MD5: 3e9e3699f524026f9d0efb7cabdc34ae

The Land Degradation Surveillance Framework (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. This field guide describes the LDSF field survey methods and is designed to be used in both training and as a reference in field, during survey campaigns.


4. ldsf_description of codesv4.tab
MD5: 8e6b0d885a4cbfa6913a3be1c9f482ec

Description of the variables in the LDSF data file


Kericho Kenya Carbon and Nitrogen for Dataverse.csv
MD5: a33ede2eea3ba8ce59ad5d99d4ec9c8f

Carbon and nitrogen data from soil samples analysis.


Kericho ldsf for database.csv
MD5: 719f735420cf4879ca62aa76e6e70b51

Raw data downloaded from gps units for Kericho


Terms of use
This dataset is made available under the Creative Commons Attribution 4.0 International license (CC-BY-4.0). The license allows you, the user, to copy and redistribute the material in any medium or format and/or transform, and build upon the material for any purpose, even commercially.
Creative Commons License.
Authors

Vågen, Tor-Gunnar; Okia, Clement; Winowiecki, Leigh

Keywords

landscape, environmental degradation, soil degradation, biodiversity, remote sensing, soil science, kenya, tree biodiversity, land and soil health, spatial modelling, surveys, soil

Publisher

Nile-Congo

Publication date

22 Aug 2017

DOI

https://doi.org/10.34725/DVN/BOFN8B

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