Modelling dynamic interactions between soil structure and the storage and turnover of soil organic matter

Modelling dynamic interactions between soil structure and the storage and turnover of soil organic matter
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模拟土壤结构与土壤有机质储存和周转之间的动态相互作用

DOI:
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发表时间:
2020
期刊:
影响因子:
4.9
通讯作者:
N. Jarvis
N. Jarvis
中科院分区:
地球科学2区
文献类型:
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作者:
Katharina H. E. Meurer;C. Chenu;E. Coucheney;A. Herrmann;T. Keller;T. Kätterer;David Nimblad Svensson;N. Jarvis

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抽象的。土壤有机碳(SOC)储存和周转模型是分析土壤和作物管理措施与气候效应的有用工具 土壤有机碳储量的变化。土壤的聚合结构是 已知保护SOC免于分解,因此影响潜在的 进行长期隔离反过来,SOC的周转和储存 影响土壤的聚集、物理和水力特性, 土壤的生产能力。这些双向互动尚未被 在建模方法中明确考虑。在这项研究中,我们提出并描述了一个新的模型,土壤有机质之间的动态反馈, 物质(SOM)储存和土壤物理性质(孔隙度、孔径分布、体积密度和土层厚度)。首先进行敏感性分析,以了解模型的行为。模型参数的可辨识性 通过对合成数据集校准模型进行研究。这 分析表明,不可能明确估计 所有的模型参数,从这类数据通常可在外地 审判根据这些信息,对模型进行了测试, 土壤容重、有机碳浓度和有限的土壤水分数据 在63年的田间试验中, 位于乌普萨拉(瑞典)附近,在三个不同的有机质(OM)输入处理 (bare休闲、动物和绿色肥料)。该模型能够准确地 重现了土壤有机碳、土壤容重和地表高程的变化 在田间观察到的土壤水分特征曲线以及在 在2019年的实验期结束时,在两个治疗中。 由OM差异引起的SOC动力学的处理特异性变化 通过修改OM的值,可以很好地模拟输入质量 截留系数ε(动物粪便为0.37, 绿色肥料)。这里提出的模型方法可能证明是有用的, 管理目的,例如,在分析碳封存或 土地利用和气候变化下的土壤退化。
Abstract. Models of soil organic carbon (SOC) storage and turnover can be useful tools to analyse the effects of soil and crop management practices and climate change on soil organic carbon stocks. The aggregated structure of soil is known to protect SOC from decomposition and, thus, influence the potential for long-term sequestration. In turn, the turnover and storage of SOC affects soil aggregation, physical and hydraulic properties and the productive capacity of soil. These two-way interactions have not yet been explicitly considered in modelling approaches. In this study, we present and describe a new model of the dynamic feedbacks between soil organic matter (SOM) storage and soil physical properties (porosity, pore size distribution, bulk density and layer thickness). A sensitivity analysis was first performed to understand the behaviour of the model. The identifiability of model parameters was then investigated by calibrating the model against a synthetic data set. This analysis revealed that it would not be possible to unequivocally estimate all of the model parameters from the kind of data usually available in field trials. Based on this information, the model was tested against measurements of bulk density, SOC concentration and limited data on soil water retention and soil surface elevation made during 63 years in a field trial located near Uppsala (Sweden) in three treatments with different organic matter (OM) inputs (bare fallow, animal and green manure). The model was able to accurately reproduce the changes in SOC, soil bulk density and surface elevation observed in the field as well as soil water retention curves measured at the end of the experimental period in 2019 in two of the treatments. Treatment-specific variations in SOC dynamics caused by differences in OM input quality could be simulated very well by modifying the value for the OM retention coefficient ε (0.37 for animal manure and 0.14 for green manure). The model approach presented here may prove useful for management purposes, for example, in an analysis of carbon sequestration or soil degradation under land use and climate change.
DOI: 10.3389/fenvs.2018.00051
发表时间: 2018-06
影响因子: 4.6
作者:
M. Quigley;W. Negassa;A. Guber;M. Rivers;A. Kravchenko
通讯作者: M. Quigley;W. Negassa;A. Guber;M. Rivers;A. Kravchenko