SOIL CARBON CHECK: A TOOL FOR MONITORING AND GUIDING SOIL CARBON SEQUESTRATION IN FARMER FIELDS

doi:10.15302/J-FASE-2023499

RESEARCH ARTICLE

Jan Adriaan REIJNEVELD¹(

), Martijn Jasper van OOSTRUM¹, Karst Michiel BROLSMA¹, Oene OENEMA²

¹. Eurofins International Agro Competence Center, Binnenhaven 5, 6709 PD Wageningen, the Netherlands
². Wageningen Environmental Research, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, the Netherlands

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Abstract

● Establishment of a rapid tool for monitoring soil carbon sequestration in farmer fields.

● Novel linkage of multiconstituent soil analyses with a carbon mineralization model.

● Extensive calibration and validation of the results of the near-infrared spectroscopy NIRS analyses.

● Soil bulk density derived from NIRS analyses and pedotransfer functions.

In 2015, 17 Sustainable Development Goals (SDGs) were approved, including SDG13, which addresses actions to increase carbon capture (CO₂-C storage) for climate change mitigation. However, no analytical procedures have been defined for quantifying soil organic carbon (SOC) sequestration. This paper presents a rapid tool for guiding farmers and for monitoring SOC sequestration in farmer fields. The tool consists of multiconstituent soil analyses through near-infrared spectroscopy (NIRS) and an SOC mineralization model. The tool provides forecasts of SOC sequestration over time. Soil analyses by NIRS have been calibrated and validated for farmer fields in European countries, China, New Zealand, and Vietnam. Results indicate a high accuracy of determination for SOC (R² ≥ 0.93), and for inorganic C, soil texture, and soil bulk density. Permanganate oxidizable soil C is used as proxy for active SOC, to detect early management-induced changes in SOC contents, and is also quantified by NIRS (R² = 0.92). A pedotransfer function is used to convert the results of the soil analyses to SOC sequestration in kg·ha⁻¹ C as well as CO₂. In conclusion, the tool allows fast, quantitative, and action-driven monitoring of SOC sequestration in farmer fields, and thereby is an essential tool for monitoring progress of SDG13.

Keywords 4 per 1000 initiative carbon sequestration climate action farmer fields SDG13 soil organic carbon soil testing

Corresponding Author(s): Jan Adriaan REIJNEVELD

Just Accepted Date: 19 April 2023 Online First Date: 11 May 2023

Cite this article:

Jan Adriaan REIJNEVELD,Martijn Jasper van OOSTRUM,Karst Michiel BROLSMA, et al. SOIL CARBON CHECK: A TOOL FOR MONITORING AND GUIDING SOIL CARBON SEQUESTRATION IN FARMER FIELDS[J]. Front. Agr. Sci. Eng. , 11 May 2023. [Epub ahead of print] doi: 10.15302/J-FASE-2023499.

URL:

https://academic.hep.com.cn/fase/EN/10.15302/J-FASE-2023499
https://academic.hep.com.cn/fase/EN/Y/V/I/0

Fig.1 Conceptual framework of Soil Carbon Check, which is a rapid tool for guiding and monitoring soil organic carbon (SOC) sequestration in farmer fields. The processes on the left indicate farmer involvement (dashed lines), those in the center the sequential analytical steps, and those on the right interactive calibration and validation (solid lines).

Tab.1 Results of the calibration and validation of the determination of SOC contents by NIRS

Fig.2 Scatter plots showing the results of the validation of soil inorganic carbon (SIC) content (a) and clay (particles < 2 μm) content (b) determinations using NIRS for samples taken in the eastern provinces in China versus reference methods.

Tab.2 Results of the validation of active SOC and soil bulk density determinations by NIRS

Fig.3 Scatter plots showing the results of the validation of active carbon (POXC) (a) and soil bulk density (b) determinations by NIRS versus reference methods.

Fig.4 Scatter plots showing the relationships between SOC content and active SOC carbon (a), clay content and active SOC (b).

Tab.3 Calculated mean SOC breakdown (% per year) with the MINIP model, using results of 30,451 soil tests of samples taken in the Netherlands

Tab.4 Soil characteristics (soil layer 0–25 cm) of arable land that received no fertilization, measured monthly from September 2016 to October 2018 (Field A) and from November 2018 to April 2019 (Field B)

Fig.5 Changes in soil organic carbon (SOC) content (as regression coefficients from the linear regression of SOC content determinations over time) versus effective carbon input (from MINIP model calculations) for 70 fields on eight farms in the Netherlands.

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