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迈向更完善的土壤有机碳分解模型:凋萎点之外的土壤水势

Towards improved modeling of SOC decomposition: soil water potential beyond the wilting point.

作者信息

Liang Junyi, Chen Kangli, Huo Tianci, Zhang Yaowen, Jing Jingying, Feng Wenting

机构信息

Department of Grassland Resource and Ecology, College of Grassland Science and Technology, China Agricultural University, Beijing, China.

National Engineering Laboratory for Improving Quality of Arable Land, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China.

出版信息

Glob Chang Biol. 2022 Jun;28(11):3665-3673. doi: 10.1111/gcb.16127. Epub 2022 Feb 21.

Abstract

Soils are important carbon (C) reservoirs and play a critical role in regulating the global C cycle. Soil water potential (SWP) measures the energy with which water is retained in the soil and is one of the most vital factors that constrain the decomposition of soil organic C (SOC). The measurements for soil water retention curve (SWRC), on which the estimation of SWP depends, are usually carried out above -1.5 MPa (i.e., the wilting point for many plants). However, the average moisture threshold at which soil microbial activity ceases is usually below -10 MPa in mineral soils. Beyond the measurement range, the SWP estimation has to be derived from extrapolating the SWRC, which violates the statistical principle, resulting in possibly inaccurate SWP estimations. To date, it is unclear to what extent the extrapolated SWP estimation deviates from the "true value" and how it impacts the modeling of SOC decomposition. This study combined SWRC measurements down to -43.7 MPa, a 72-day soil incubation experiment with four moisture levels, and an SOC decomposition model. In addition to the complete SWRC (SWRC ), we fitted two more SWRCs by using measurements above -0.5 MPa (SWRC ) and -1.7 MPa (SWRC ), respectively, to quantify the deviations of extrapolated SWPs from the complete SWRC. Results showed that extrapolating the SWRC beyond its measurement range significantly underestimated the SWP. Incorporating the extrapolated SWP in the model significantly underestimated the SOC decomposition under relatively dry conditions. With the extrapolated SWP, the model predicted no SOC decomposition in the driest treatment, while the experiment observed a significant CO emission. The results emphasize that accurate SWP estimations beyond the wilting point are critically needed to improve the modeling of SOC decomposition.

摘要

土壤是重要的碳(C)库,在调节全球碳循环中起着关键作用。土壤水势(SWP)衡量水在土壤中被保持的能量,是限制土壤有机碳(SOC)分解的最重要因素之一。土壤水分保持曲线(SWRC)的测量是SWP估算的基础,通常在-1.5MPa以上进行(即许多植物的萎蔫点)。然而,在矿质土壤中,土壤微生物活动停止的平均水分阈值通常低于-10MPa。在测量范围之外,SWP估算必须通过外推SWRC来获得,这违反了统计原则,可能导致SWP估算不准确。迄今为止,尚不清楚外推的SWP估算在多大程度上偏离“真实值”以及它如何影响SOC分解模型。本研究结合了低至-43.7MPa的SWRC测量、四个水分水平的72天土壤培养实验以及一个SOC分解模型。除了完整的SWRC(SWRC ),我们还分别使用-0.5MPa以上(SWRC )和-1.7MPa以上(SWRC )的测量值拟合了另外两条SWRC,以量化外推的SWP与完整SWRC的偏差。结果表明,将SWRC外推到其测量范围之外会显著低估SWP。在模型中纳入外推的SWP会在相对干燥的条件下显著低估SOC分解。使用外推的SWP,模型预测在最干燥的处理中没有SOC分解,而实验观察到有显著的CO排放。结果强调,为了改进SOC分解模型,急需在萎蔫点之外进行准确的SWP估算。

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