Impact of soil core preparation on hydraulic properties and modeled carbon cycling across texture classes

Andrew Townsend, Arjun Chakrawal, Odeta Qafoku, Mark L. Rockhold, Tom Wietsma, John R. Bargar, Emily B. Graham
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Abstract

Soil hydraulic properties regulate microbially mediated carbon (C) cycling, but empirical measurements are labor-intensive and often rely on homogenized soils that do not encompass the impacts of soil structure on hydraulics. We evaluated how the soil matrix structure influences measured hydraulic properties and the resultant soil C model predictions. We measured water retention and hydraulic conductivity on intact versus repacked soil cores from four textures (sandy loam, loam, silt loam, and silty clay) collected by the Molecular Observation Network (MONet), compared results to the HiHydroSoil v2.0 database, and evaluated their impacts on ecosystem soil C predictions through the Millennial model. Structural differences produced the largest divergences in hydraulic properties for silty textures and the smallest for sandy soils. Relative to intact cores, repacked sandy loam and loam soils exhibited higher simulated respiration and reduced soil organic carbon (SOC) stocks. In contrast, repacked silt loam and silty clay showed lower respiration and increased SOC stocks, consistent with enhanced clay-associated C protection. Model outcomes also differed depending on whether measured properties or database values were used. Together, these results show that sample structure and parameter source introduce systematic biases into predictions of soil C dynamics, with effects that depend on texture. Standardized, structure-aware, and higher throughput measurements of hydraulic properties are needed to improve parameterization, reduce uncertainty, and better represent environmental and anthropogenic impacts on soil structure in coupled hydrology–biogeochemistry models.

Abstract Image

Abstract Image

土芯制备对水力学性能的影响以及不同质地类别的碳循环模型
土壤水力特性调节微生物介导的碳(C)循环,但经验测量是劳动密集型的,往往依赖于均质土壤,不包括土壤结构对水力学的影响。我们评估了土壤基质结构如何影响测量的水力特性和所得的土壤C模型预测。我们测量了由分子观测网络(MONet)收集的四种质地(沙质壤土、壤土、粉质壤土和粉质粘土)的完整土芯和重新填充土芯的保水率和水力电导率,将结果与HiHydroSoil v2.0数据库进行了比较,并通过Millennial模型评估了它们对生态系统土壤C预测的影响。结构差异导致粉质土水力特性差异最大,砂质土水力特性差异最小。与完整岩心相比,复填砂壤土和壤土的模拟呼吸量增加,土壤有机碳(SOC)储量减少。而复填粉质壤土和粉质粘土则表现出呼吸作用降低、有机碳储量增加的特征,与土壤碳保护作用增强相一致。模型结果也取决于是否使用测量属性或数据库值。总之,这些结果表明,样品结构和参数源在土壤C动力学预测中引入了系统偏差,其影响取决于质地。在水文-生物地球化学耦合模型中,需要标准化、结构感知和更高通量的水力特性测量来改进参数化、减少不确定性,并更好地代表环境和人为对土壤结构的影响。
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