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Updated: Jun 15, 2025

Assessment of Labile Organic Carbon in Soil Using Sequential Fumigation Incubation Procedures
Published on: October 29, 2016
Data set on soil physicochemical parameters, biomass accumulation and carbon credit generation in different
André Thomazini1,2, Leandro Rodrigues da Silva Souza2, Fernando Rodrigues Cabral Filho2
1Universidade Federal de São João Del-Rei, Centro de Ciências Agrárias, Rua Setimo Moreira Martins Itapoã II, Sete Lagoas, MG 35702031, Brazil.
Abstract:
Soil organic carbon is critical to reducing anthropogenic CO2 emissions, highlighting the importance of carbon sequestration on agricultural lands. No-till agricultural practices have been shown to be effective in improving soil quality and sequestering carbon, thereby supporting global efforts to mitigate climate change. Based on the edaphoclimatic conditions of the region, five reference areas were selected, with different characteristics in terms of conditions (A1, A2, A3, A4, and A5) in 5 different farms in the municipality of Rio Verde, GO, Brazil. Soil and biomass samples left by the crop after harvest were collected. These areas represent 3 priority management systems in the Cerrado region of central Brazil, namely: no-till with soybean and maize in sequence in a rainfed system; no-till with soybean and maize in sequence in a central pivot irrigation system; first cut sugar cane; second cut sugar cane. In October 2022, 15 points per area were sampled for soil carbon stock estimation and for chemical and physical characterization purposes along linear transects. Transect sampling approach is widely used in soil attributes studies for comparison and data collection. Biomass samples were used to estimate soil biomass accumulation and carbon stock indices. The physic-chemical parameters of the soil in each area were determined through a complete analysis of the 0-20 cm profile. By presenting a new dataset of soil organic carbon stocks and carbon credits from several long-term no-till areas in central Brazil, this article contributes to the knowledge of the potential of conservation management systems for carbon trading, providing insights into their current contributions and future modelling.
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