Erik Schwarz, Anna Johansson, Cristina Lerda, John Livsey, Anna Scaini, Daniel Said-Pullicino, Stefano Manzoni
This dataset includes soil texture, bulk density, pH, and contents of organic carbon (bulk soil and density fractions), total nitrogen (bulk soil and density fractions), and pedogenetic iron and aluminium oxides, resulting from field sampling undertaken in autumn 2021 in northern Piedmont, Italy.
The purpose of the data was to explore the effect of land cover and soil age on soil carbon stocks. Land covers considered were rice paddies (cultivated for more than 30 years) and remnant semi-natural forests. Soil types ranged from ancient terrace alfisols to younger inceptisols.
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Citation
Erik Schwarz, Anna Johansson, Cristina Lerda, John Livsey, Anna Scaini, Daniel Said-Pullicino, Stefano Manzoni (2023) Soil properties in semi-natural forests and paddy fields along a soil age gradient in northern Piedmont, Italy, 2021. Dataset version 1. Bolin Centre Database. https://doi.org/10.17043/schwarz-2023-soil-1
References
Schwarz, E., Johansson, A., Lerda, C., Livsey, J., Scaini, A., Said-Pullicino, D., & Manzoni, S. (2024). Organic carbon stabilization in temperate paddy fields and adjacent semi-natural forests along a soil age gradient. Geoderma, 443(116825), 116825. https://doi.org/10.1016/j.geoderma.2024.116825
Data description
The dataset consists of data from 17 sampling sites with 76 data points divided in four sampling depths between 0 and 70 cm (layer thickness depends on land cover). At two sites, four additional layers to a depth of 150 cm were sampled. All sampling points include measurements of physical properties (texture, bulk density, pH) and contents of organic carbon, total nitrogen, and pedogenetic iron and aluminium oxides. Organic matter density fractions (free and occluded particulate organic matter and mineral associated organic matter) were also measured in the two shallower layers of 14 sites (all layers at 2 sites). The samples were taken between October 15 and November 15, 2021.
Data is provided in one comma-separated values (csv) file with 25 columns, with the following content:
- Site number: progressive number (1 – 17)
- Latitude: geographic coordinates (decimal degrees)
- Longitude: geographic coordinates (decimal degrees)
- Land use: 0=semi-natural forest, 1=paddy fields
- Soil type: 0=ancient terrace, 1=ancient plain, 2=young plain
- Minimum sampling depth: depth at which sampling of a given layer started (cm)
- Maximum sampling depth: depth at which sampling of a given layer ended (cm)
- Depth of centre: depth of the soil layer centre (cm)
- Sand fraction: sand content (mass fraction)
- Silt fraction: silt content (mass fraction)
- Clay fraction: clay content (mass fraction)
- pH: soil acidity
- Bulk density corrected by stone volume (g/cm³)
- Fe-DCB: iron extracted with 0.3 M citrate-bicarbonate solution in the presence of sodium dithionite (mg/g soil)
- Fe-Oxalate: iron extracted with 0.2 M ammonium oxalate at pH 3 (mg/g soil)
- Al-Oxalate: aluminum extracted with 0.2 M ammonium oxalate at pH 3 (mg/g soil)
- OC: total organic carbon content (mg/g soil)
- total N: total nitrogen content (mg/g soil)
- C:N: ratio of total organic carbon to total nitrogen (gC/gN)
- FPOM-C: percentage of organic carbon recovered in free particulate organic matter (%)
- OPOM-C: percentage of organic carbon recovered in occluded particulate organic matter (%)
- MAOM-C: percentage of organic carbon recovered in mineral associated organic matter (%)
- FPOM-N: percentage of total nitrogen recovered in free particulate organic matter (%)
- OPOM-N: percentage of total nitrogen recovered in occluded particulate organic matter (%)
- MAOM-N: percentage of total nitrogen recovered in mineral associated organic matter (%)
Comments
The roles of the data creators are: field campaign planning and sampling (Schwarz, Livsey, Scaini, Manzoni), laboratory analysis (Schwarz, Johansson, Scaini, Lerda, Said-Pullicino), data interpretation (Schwarz, Said-Pullicino, Manzoni).
The data are provided "as is". In case of errors or inconsistencies, please notify the contact person [javascript protected email address] immediately.
Also, Stefano Manzoni would welcome a notification when the data are used for any research project or publication. When using the data please cite the above paper by Schwarz et al. (2024) as well as the dataset as indicated in the citation above.