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This paper re-evaluates this landscape through a spatial analysis of data from auger samples and soil pits.
To support our findings, further investigation and optimization of the process using other AMD samples and soil inocula are now underway.
Here we investigate the suitability of plant samples and soil leachates from the IRHUM database (www.irhumdatabase.com) to create a bioavailable 87Sr/86Sr map using a novel geostatistical framework.
Soil samples and soil characterization data were obtained from fifty pedons sampled at the Missouri Ozark Forest Ecosystem Project (MOFEP) located in south-central Missouri, USA.
We collected composite soil surface samples and soil profile samples from fields under the different land uses and irrigation lengths and determined their organic carbon concentrations; we also quantified root residues and analyzed their bromatological composition.
The recovery of the char samples and soil control from the wet-sieving procedure was determined by drying and weighing the sieved particles with size less than 106 μm and the residue greater than 106 μm remaining on the sieve (Additional file 1: Table S3).
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For areas with no point data, regional soil mapping includes two steps: soil sampling and soil mapping.
The Pearson correlation (r) values showed that there is strong negative correlation and statistically significant relation between depth of soil sample and soil organic matter within study area.
Using the conditioned Latin hypercube sampling method, 188 soil profiles in the study area were sampled and soil organic carbon content (SOC) measured.
We gratefully acknowledge Jerome Gury, Anthony Pegard, Kechang Niu, Mustafa Tarafa, Camille Vicier, Bahar Shahnavaz and Armelle Monier for their help during soil sampling and soil processing.
We analyzed 400 surface (0 5 cm) soil samples, and 25 soil profiles (0 100 cm).
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