Dataset supporting the analysis of soil organic carbon stock changes under long-term agricultural management

Registro completo

Título

Dataset supporting the analysis of soil organic carbon stock changes under long-term agricultural management

Autor(es)

Berhongaray, Gonzalo; Alvarez, Roberto

Afiliación(es) del/de los autor(es)

Berhongaray, Gonzalo. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias Agropecuarias del Litoral. - Universidad Nacional del Litoral. Instituto de Ciencias Agropecuarias del Litoral.; Argentina
Alvarez, Roberto. Universidad de Buenos Aires. Facultad de Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina

Resumen

This dataset contains soil profile data from a long-term resampling study designed to quantify changes in soil organic carbon (SOC) stocks under contrasting land uses in temperate agroecosystems of Argentina. The dataset integrates measurements originally collected in 2007 and revisited in 2023 at the same sites. For each site and land use (annual cropland and perennial pasture), soil samples were collected at 0–25 cm and 25–50 cm depths. The dataset includes bulk density, organic carbon concentration, soil mass, and SOC stocks calculated at layer and 0–50 cm profile scale. Site-level descriptors such as mean annual temperature, mean annual precipitation, pH, electrical conductivity, and particle size distribution (clay, silt, sand) are also provided. The dataset was generated to enable direct quantification of SOC stock changes over time using equivalent soil mass and depth harmonization approaches, minimizing biases associated with bulk density variation and legacy data comparison. It supports analyses of SOC dynamics, land-use effects, and methodological evaluation of long-term soil carbon monitoring. All site identifiers are coded and no precise geolocation or landowner information is included.

Año de publicación

2026

Idioma

inglés

Formato (Tipo MIME)

application/octet-stream

Clasificación temática de acuerdo a la FORD

Agricultura, silvicultura y pesca

Condiciones de uso

Disponible en acceso abierto bajo licencia Creative Commons https://creativecommons.org/licenses/by-nc-sa/2.5/ar/

Repositorio digital

CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas

Identificador de proyecto

Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Científica y Tecnológica/PICT-2020-SERIES-00663