Junge Hyun, Alain F. Plante, Jeehwan Bae, Gayoung Yoo
{"title":"Beyond Total C: Integrative Analysis of Carbon Forms in Urban Soils","authors":"Junge Hyun, Alain F. Plante, Jeehwan Bae, Gayoung Yoo","doi":"10.1111/ejss.70107","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>The precise differentiation and quantification of ecosystem-driven organic carbon (OC<sub>eco</sub>), black carbon (BC), and inorganic carbon (IC) in soil is essential for understanding the global carbon cycle. However, the absence of a standardised method for differentiating among these carbon types is a notable challenge in soil carbon research. We addressed this gap by establishing CO<sub>2</sub>-evolved gas analysis (EGA) with peak deconvolution, a robust approach to parse OC<sub>eco</sub>, BC, and IC in soils through CO<sub>2</sub> thermograms derived from ramped combustion. The soils in urban greenery were used for developing this methodology due to their exposure to various carbon sources. Our method's precision was confirmed using model mixtures, exhibiting high accuracy (R<sup>2</sup> > 0.90) with regression lines approximating the ideal 1:1 line of known versus measured values. Applying this technique, we identified distinct spatial distributions of OC<sub>eco</sub> and BC. Their distributions were strongly influenced by the balance between green spaces and impervious surfaces in surrounding land uses. Conversely, IC appears unaffected by such land use dynamics. Our results provide compelling evidence that without a distinct recognition of BC and IC from OC<sub>eco</sub>, assessments of urban carbon storage are prone to significant overestimation. Because urban soil C types differ in source and dynamics, our findings call for a recalibration of urban soil carbon accounting frameworks to prevent overestimations of vulnerability or sequestration potential, which is critical for effective climate mitigation strategies and policy planning. In essence, our findings underscore the necessity of advanced soil analysis techniques in urban soil management and provide a valuable tool for future research in urban ecosystem dynamics.</p>\n </div>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"76 2","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Soil Science","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ejss.70107","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The precise differentiation and quantification of ecosystem-driven organic carbon (OCeco), black carbon (BC), and inorganic carbon (IC) in soil is essential for understanding the global carbon cycle. However, the absence of a standardised method for differentiating among these carbon types is a notable challenge in soil carbon research. We addressed this gap by establishing CO2-evolved gas analysis (EGA) with peak deconvolution, a robust approach to parse OCeco, BC, and IC in soils through CO2 thermograms derived from ramped combustion. The soils in urban greenery were used for developing this methodology due to their exposure to various carbon sources. Our method's precision was confirmed using model mixtures, exhibiting high accuracy (R2 > 0.90) with regression lines approximating the ideal 1:1 line of known versus measured values. Applying this technique, we identified distinct spatial distributions of OCeco and BC. Their distributions were strongly influenced by the balance between green spaces and impervious surfaces in surrounding land uses. Conversely, IC appears unaffected by such land use dynamics. Our results provide compelling evidence that without a distinct recognition of BC and IC from OCeco, assessments of urban carbon storage are prone to significant overestimation. Because urban soil C types differ in source and dynamics, our findings call for a recalibration of urban soil carbon accounting frameworks to prevent overestimations of vulnerability or sequestration potential, which is critical for effective climate mitigation strategies and policy planning. In essence, our findings underscore the necessity of advanced soil analysis techniques in urban soil management and provide a valuable tool for future research in urban ecosystem dynamics.
精确区分和量化土壤中生态系统驱动的有机碳(OCeco)、黑碳(BC)和无机碳(IC)对于了解全球碳循环至关重要。然而,缺乏区分这些碳类型的标准化方法是土壤碳研究中的一个显著挑战。为了弥补这一不足,我们建立了具有峰值解卷积功能的 CO2-演化气体分析法(EGA),这是一种通过斜坡燃烧产生的 CO2 热图解析土壤中 OCeco、BC 和 IC 的可靠方法。由于城市绿地中的土壤暴露于各种碳源,因此我们采用了这种方法。我们使用模型混合物证实了该方法的精确性,显示出较高的准确性(R2 > 0.90),回归线接近已知值与测量值 1:1 的理想线。应用这一技术,我们确定了 OCeco 和 BC 的不同空间分布。它们的分布受到周围土地利用中绿地和不透水表面之间平衡的强烈影响。相反,IC 似乎不受这种土地利用动态的影响。我们的研究结果提供了令人信服的证据,即如果不将 BC 和 IC 与 OCeco 区分开来,对城市碳储存的评估就容易出现严重的高估。由于城市土壤碳类型在来源和动态方面存在差异,我们的研究结果要求重新校准城市土壤碳核算框架,以防止高估脆弱性或固碳潜力,这对有效的气候减缓战略和政策规划至关重要。从本质上讲,我们的研究结果强调了先进的土壤分析技术在城市土壤管理中的必要性,并为未来城市生态系统动力学研究提供了宝贵的工具。
期刊介绍:
The EJSS is an international journal that publishes outstanding papers in soil science that advance the theoretical and mechanistic understanding of physical, chemical and biological processes and their interactions in soils acting from molecular to continental scales in natural and managed environments.