Assessing the soil texture-specific sensitivity of simulated soil moisture to projected climate change by SVAT modelling
Assessing the soil texture-specific sensitivity of simulated soil moisture to projected climate change by SVAT modelling
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DOI：
10.1016/j.geoderma.2012.03.021
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发表时间：
2012-04
期刊：
影响因子：
6.1
通讯作者：
H. Bormann
中科院分区：
文献类型：
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作者：
H. Bormann
气候变化被认为对土壤湿度状况具有区域性的特定影响。气候变化对土壤湿度的影响预计取决于土壤质地。由于土壤湿度观测无法操作，因此可以使用模型来预测这些变化。在本研究中，将土壤植被大气传输方案（SVAT）应用于虚拟土柱，以评估模拟土壤湿度对预计气候变化的土壤质地特定敏感性。对于德国土壤质地分类的 31 个土壤质地类别中的每一个，都根据代表德国五个不同气候区域的观测和基于情景的气候数据进行了长期模拟。模拟结果表明，不同地区和不同土壤质地类别之间的土壤水分状况存在很大差异。不同的土壤质地类别显示出土壤湿度对预计气候变化的不同敏感性。虽然当前条件和气候情景之间的土壤湿度差异对于淤泥土壤而言最大，但对于大陆性气候和潮湿气候的粘土而言差异最小。沙土和壤土表现中等，表现出中等敏感性。结果还表明，对于不受地下水影响（无毛细管上升）的土壤，土壤湿度对气候变化的土壤质地特定敏感性最大。随着地下水影响的增加，土壤质地类别之间的差异减小。相反，除大陆性气候外，植被密度、根系深度和蒸腾需求的增加导致土壤湿度对气候变化的敏感性。这项研究表明，经过验证的、基于物理的土壤水文模型可以作为评估土壤湿度对气候条件变化的响应的合适工具。基于虚拟土柱，建模实验系统地揭示了土壤质地相关的敏感性，由于各种不同土壤质地的可用性和可及性有限，这些敏感性在现实世界的研究中很难识别。
Climate change is assumed to have a regionally specific impact on the soil moisture regime. The impact of climate change on soil moisture can be expected to depend on the soil texture. Because soil moisture observations are not available operationally, models can be used to predict these changes. In this study, a soil vegetation atmosphere transfer scheme (SVAT) was applied to virtual soil columns to assess the soil texture-specific sensitivity of simulated soil moisture to projected climate change. For each of the 31 soil texture classes of the German soil texture classification, long-term simulations were carried out based on the observed and scenario-based climate data representing five different climate regions in Germany. The simulation results indicate that soil moisture regimes considerably differ from region to region and among different soil texture classes. Different soil texture classes showed different sensitivities of soil moisture with respect to the projected climate change. While the differences in soil moisture between the current conditions and the climate scenarios were largest for silt soils, they were smallest for clay soils for both continental and humid climates. Sand and loam soils behaved intermediately, showing a moderate sensitivity. The results also showed that the soil texture-specific sensitivity of soil moisture to climate change was largest for soils that were not affected by groundwater (no capillary rise). Differences between soil texture classes decreased with an increasing influence of groundwater. In contrast, increasing vegetation density, rooting depths and transpiration demand induced the sensitivity of soil moisture to climate change, except in continental climates. This study indicates that validated, physically based soil hydrological models serve as suitable tools to assess the response of soil moisture to changing climate conditions. Based on virtual soil columns, modelling experiments systematically reveal soil texture-dependent sensitivities that cannot readily be identified in real world studies due to the limited availability and accessibility of the wide spectrum of different soil textures.