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Land and Soil Health Assessment in the Western Amazon Sentinel Landscape

The LDSF was carried out at three-100 km2 sites within the Western Amazon Sentinel Landscape. Madre de Dios and Ucayali in Peru, and Pando in Bolivia. Field teams were trained by Norvin Sepulveda (CATIE, Nicaragua- Honduras SL) and Noel Ulloa in August 2014. Field surveys were completed in July 2015. 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 Managua. Processed samples were shipped to Nairobi and 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.


2. madrededios_ldsf_for dataverse.csv
MD5: b4e0f2a791c7dab24591cefe6d52a949

Raw LDSF data downloaded from the gps units for Madre de Dios site.


2. pando_ldsf_for dataverse.csv
MD5: a0897f388c732d923f4a6717917c2ebf

Raw LDSF data downloaded from the gps units for Pando site.


2. ucayali ldsf for dataverse.csv
MD5: a317a471ef160b16cb38310157b25d8f

Raw LDSF data downloaded from the gps units for Ucayali site.


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

Salazar, Angel; Albornoz, Marco; Castillo, Rider; Cusi, Edgar; Odicio, Manuel; Mamani, Jose; Robiglio, Valentina; Reyes, Martin; Vågen, Tor-Gunnar; Winowiecki, Leigh

Keywords

landscape, environmental degradation, soil degradation, biodiversity, remote sensing, soil science, peru, bolivia, land and soil health, spatial modeling, surveys, soil

Publisher

Western Amazon SL

Publication date

10 Feb 2016

DOI

https://doi.org/10.34725/DVN/2FTPZ5

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