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土壤的肮脏小秘密:基于深度的比较可能不足以量化土壤有机碳和其他矿物土壤性质的变化。

Soils' dirty little secret: Depth-based comparisons can be inadequate for quantifying changes in soil organic carbon and other mineral soil properties.

机构信息

Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois at Urbana-Champaign, Urbana, IL, USA.

Institute for Sustainability, Energy, and Environment, University of Illinois at Urbana-Champaign, Urbana, IL, USA.

出版信息

Glob Chang Biol. 2020 Jul;26(7):3759-3770. doi: 10.1111/gcb.15124. Epub 2020 May 18.

Abstract

Quantifying changes in soil organic carbon (SOC) stocks and other soil properties is essential for understanding how soils will respond to land management practices and global change. Although they are widely used, comparisons of SOC stocks at fixed depth (FD) intervals are subject to errors when changes in bulk density or soil organic matter occur. The equivalent soil mass (ESM) method has been recommended in lieu of FD for assessing changes in SOC stocks in mineral soils, but ESM remains underutilized for SOC stocks and has rarely been used for other soil properties. In this paper, we draw attention to the limitations of the FD method and demonstrate the advantages of the ESM approach. We provide illustrations to show that the FD approach is susceptible to errors not only for quantifying SOC stocks but also for soil mass-based properties such as SOC mass percent, C:N mass ratio, and δ C. We describe the ESM approach and show how it mitigates the FD method limitations. Using bulk density change simulations applied to an empirical dataset from bioenergy cropping systems, we show that the ESM method provides consistently lower errors than FD when quantifying changes in SOC stocks and other soil properties. To simplify the use of ESM, we detail how the method can be integrated into sampling schemes, and we provide an example R computer script that can perform ESM calculations on large datasets. We encourage future studies, whether temporal or comparative, to utilize sampling methods that are amenable to the ESM approach. Overall, we agree with previous recommendations that ESM should be the standard method for evaluating SOC stock changes in mineral soils, but we further suggest that ESM may also be preferred for comparisons of other soil properties including mass percentages, elemental mass ratios, and stable isotope composition.

摘要

量化土壤有机碳(SOC)储量和其他土壤性质的变化对于理解土壤对土地管理实践和全球变化的响应至关重要。尽管它们被广泛使用,但在发生体积密度或土壤有机质变化时,固定深度(FD)间隔的 SOC 储量比较会存在误差。等效土壤质量(ESM)方法已被推荐用于替代 FD 来评估矿质土壤中 SOC 储量的变化,但 ESM 在 SOC 储量方面的应用仍然不足,并且很少用于其他土壤性质。在本文中,我们提请注意 FD 方法的局限性,并展示 ESM 方法的优势。我们提供了例证,表明 FD 方法不仅在量化 SOC 储量方面容易出现误差,而且在基于土壤质量的属性(如 SOC 质量百分比、C:N 质量比和 δ C)方面也容易出现误差。我们描述了 ESM 方法,并展示了它如何减轻 FD 方法的局限性。使用应用于生物能源种植系统经验数据集的体积密度变化模拟,我们表明,在量化 SOC 储量和其他土壤性质的变化时,ESM 方法提供的误差始终低于 FD 方法。为了简化 ESM 的使用,我们详细说明了如何将该方法集成到采样方案中,并提供了一个可以在大型数据集上执行 ESM 计算的示例 R 计算机脚本。我们鼓励未来的研究,无论是时间上的还是比较性的,都采用易于采用 ESM 方法的采样方法。总的来说,我们同意之前的建议,即 ESM 应该成为评估矿质土壤中 SOC 储量变化的标准方法,但我们进一步建议,ESM 也可能更适合比较其他土壤性质,包括质量百分比、元素质量比和稳定同位素组成。

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