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Infrared spectroscopy approaches support soil organic carbon estimations to evaluate land degradation
Land Degradation & Development ( IF 4.7 ) Pub Date : 2020-07-04 , DOI: 10.1002/ldr.3718
Bernard G. Barthès 1 , Jean‐Luc Chotte 1
Affiliation  

Soil organic carbon (SOC) is an acknowledged indicator for land degradation, but conventional determination of SOC remains tedious, especially regarding SOC stock (in kg C m−2 for a given depth layer), which is the product of SOC concentration (g C kg−1) by volumetric mass (kg dm−3). Diffuse reflectance infrared spectroscopy (DRIS) is a time‐ and cost‐effective approach, which uses calibrations for making predictions. The aim of this paper is to propose an overview of DRIS uses for estimating SOC, thus land degradation. Indeed, many papers have demonstrated the precision of DRIS for quantifying SOC concentration, at different scales. Current development of large soil calibration databases and improvements in spectral data analysis pave the way for ever‐wider use of DRIS, which should help solving the soil data crisis, regarding SOC especially. The increasing availability of portable spectrometers allows SOC quantification in the field, which seems particularly promising; but large calibration databases made of soil spectra acquired in the field are difficult to build, while large collections of analyzed soil samples (air‐dried, 2‐mm sieved) already exist. Some recent studies indicate that DRIS can also be used for predicting SOC stock, even from sieved samples, which represents an efficient option because determining the volumetric mass is particularly tedious and an obstacle for exactly specifying the role of soils in the global carbon cycle. In short, DRIS has strong potential for supporting better evaluation of soil and land degradation, and the availability of spectrometers at increasingly affordable prices reinforces this potential.

中文翻译:

红外光谱法支持土壤有机碳估算以评估土地退化

土壤有机碳(SOC)是公认的土地退化指标,但是常规的SOC测定仍然繁琐,尤其是对于SOC储量(对于给定深度层,单位为kg C m -2),这是SOC浓度(g C kg -1),以体积质量计(kg dm -3)。漫反射红外光谱(DRIS)是一种节省时间和成本的方法,它使用校准进行预测。本文的目的是概述DRIS用于估算SOC(从而评估土地退化)的用途。实际上,许多论文已经证明了DRIS在不同规模下定量SOC浓度的精度。当前大型土壤校正数据库的开发以及光谱数据分析的改进为DRIS的广泛应用铺平了道路,这将有助于解决土壤数据危机,尤其是在SOC方面。便携式光谱仪的可用性不断提高,可以在现场进行SOC定量分析,这似乎特别有希望。但是由野外采集的土壤光谱构成的大型校准数据库很难建立,同时已经存在大量分析土壤样品(风干,2毫米筛分)。最近的一些研究表明,即使从筛分的样品中,DRIS也可用于预测SOC量,这是一种有效的选择,因为确定体积质量特别繁琐,并且是精确确定土壤在全球碳循环中的作用的障碍。简而言之,DRIS在支持更好地评估土壤和土地退化方面具有强大的潜力,而光谱仪的价格越来越可承受,这进一步增强了这种潜力。这是一个有效的选择,因为确定体积质量特别繁琐,并且是精确确定土壤在全球碳循环中的作用的障碍。简而言之,DRIS在支持更好地评估土壤和土地退化方面具有强大的潜力,而光谱仪的价格越来越可承受,这进一步增强了这种潜力。这是一个有效的选择,因为确定体积质量特别繁琐,并且是精确确定土壤在全球碳循环中的作用的障碍。简而言之,DRIS在支持更好地评估土壤和土地退化方面具有强大的潜力,而光谱仪的价格越来越可承受,这进一步增强了这种潜力。
更新日期:2020-07-04
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