Kanagaraj Avinash, Kaliappan Sathiya Bama, Shanmugam Thenmozhi, Alagirisamy Bharani, Ramalingam Kumaraperumal
Department of Soil Science and Agricultural Chemistry, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.
Department of Environmental Science, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.
Anal Sci. 2025 Jun;41(6):759-776. doi: 10.1007/s44211-025-00746-4. Epub 2025 Mar 11.
This review provides an overview of the analytical methods utilized across laboratory, field, landscape, and regional scales for assessing soil organic carbon (SOC) in agricultural soils. The significance of soil depth in SOC estimation underscores the importance of selecting appropriate sampling designs, soil depths, analytical methods, and baseline selection methods for accurate soil carbon stock estimation. Traditional methods such as wet digestion and dry combustion (DC) remain prevalent in routine laboratory analysis, with DC considered the standard reference method, surpassing wet digestion in accuracy and reliability. Recent advancements in spectroscopic techniques enable SOC measurement both in laboratory settings and in situ, even at greater depths. Aerial spectroscopy, which employs multispectral and hyperspectral sensors, unmanned aerial vehicles (UAVs), or satellites, facilitates surface SOC measurement. While the current precision levels of these techniques may be limited, forthcoming hyperspectral sensors with enhanced signal‒to‒noise ratios are expected to significantly increase the prediction accuracy. Furthermore, at the global level, satellite remote sensing techniques have considerable potential for SOC estimation. Regardless of whether traditional or novel approaches are utilized, the selection of SOC determination depends on available resources and research requirements, each of which plays a distinct role in soil carbon and climate research. This paper provides an overview of various scale-dependent techniques for measuring SOC in agricultural soil, along with its potential limitations.
本综述概述了在实验室、田间、景观和区域尺度上用于评估农业土壤中土壤有机碳(SOC)的分析方法。土壤深度在SOC估算中的重要性突出了选择合适的采样设计、土壤深度、分析方法和基线选择方法对于准确估算土壤碳储量的重要性。传统方法如湿消化法和干燃烧法(DC)在常规实验室分析中仍然普遍使用,其中DC被视为标准参考方法,在准确性和可靠性方面超过湿消化法。光谱技术的最新进展使得能够在实验室环境和原位进行SOC测量,甚至在更深的深度也是如此。航空光谱学利用多光谱和高光谱传感器、无人机(UAV)或卫星,便于进行地表SOC测量。虽然这些技术目前的精度水平可能有限,但即将推出的具有更高信噪比的高光谱传感器有望显著提高预测准确性。此外,在全球范围内,卫星遥感技术在SOC估算方面具有相当大的潜力。无论采用传统方法还是新方法,SOC测定方法的选择取决于可用资源和研究要求,它们在土壤碳和气候研究中各自发挥着不同的作用。本文概述了用于测量农业土壤中SOC的各种尺度相关技术及其潜在局限性。