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Modeling the impact of long-term land use changes on deep soil hydrological processes in the Loess Plateau, China
Journal of Hydrology ( IF 5.9 ) Pub Date : 2024-09-03 , DOI: 10.1016/j.jhydrol.2024.131944
Yakun Wang , Yanan Jiang , Ying Zhao , Xinbo Li , Kun Xie , Ting Yan , Tingting Wei , Ping Li , Huijie Li
Journal of Hydrology ( IF 5.9 ) Pub Date : 2024-09-03 , DOI: 10.1016/j.jhydrol.2024.131944
Yakun Wang , Yanan Jiang , Ying Zhao , Xinbo Li , Kun Xie , Ting Yan , Tingting Wei , Ping Li , Huijie Li
Land use change can significantly affect soil hydrology in arid and semi-arid regions, making it crucial to understand the relationship between vegetation roots and soil moisture. Current models often fail to predict root growth and its impacts on water dynamics accurately. Our work presents a novel model that seamlessly integrates the Community Land Model (CLM) with the Soil & Water Assessment Tool (SWAT). Furthermore, it enhances the root module within the CLM, enabling more accurate simulations of dynamic root depth and distribution across varying tree ages. This improvement particularly considers the crucial processes of dormancy and plant maturity. Soil moisture and root patterns under apple trees of varying ages and in wheat fields on the Loess Plateau was analyzed. Our findings indicate that our dynamic root depth model outperforms traditional static models, and can accurately reflect soil moisture levels with high precision (R2 = 0.80–0.81; Nash-Sutcliffe efficiency (NSE) = 0.65–0.75). In contrast to methods that utilize fixed root depths, dynamic root simulation can provide new insights. As apple orchards mature, the roots of 22-year-old apple trees have been found to reach a depth of 21 m in the soil. Conversely, the maximum root depth of wheat is limited to 1.9 m. This latter finding aligns more closely with the measured root depths, highlighting the accuracy of dynamic simulations. This model reveals that older apple orchards show decreased soil moisture at greater depths (>20 m), contrasting with wheat fields that affect moisture mostly within the top 2 m. Our results underscore the crucial role of dynamic modeling in comprehending root-soil water interactions. Furthermore, they imply that extended orchard cultivation practices can lead to a substantial depletion of deep soil moisture. Specifically, over a period of 1 to 22 years, a water deficit of up to 85 mm yr−1 has been observed. For a 22-year-old forest, the D-D (dynamic distributions of coarse and fine roots) method calculates a significant cumulative deep Soil Water Storage loss. Over the course of 22 years, this loss amounts to 1664 mm, which is almost three times compare to the annual rainfall recorded. Such a large loss has the potential to significant impact on groundwater recharge. This highlights the need for careful consideration in future afforestation efforts to prevent increased soil aridity.
中文翻译:
模拟长期土地利用变化对黄土高原深层土壤水文过程的影响
土地利用变化会显著影响干旱和半干旱地区的土壤水文,因此了解植被根系与土壤水分之间的关系至关重要。目前的模型往往无法准确预测根系生长及其对水动力学的影响。我们的工作提出了一种新颖的模型,它将社区土地模型(CLM)与土壤和水评估工具(SWAT)无缝集成。此外,它还增强了 CLM 中的根模块,从而能够更准确地模拟不同树龄的动态根深度和分布。这种改进特别考虑了休眠和植物成熟的关键过程。分析了黄土高原不同年龄苹果树下和麦田的土壤湿度和根系模式。我们的研究结果表明,我们的动态根深模型优于传统的静态模型,并且可以高精度地准确反映土壤水分水平 (R2 = 0.80–0.81;Nash-Sutcliffe 效率 (NSE) = 0.65–0.75)。与利用固定根深度的方法相比,动态根模拟可以提供新的见解。随着苹果园的成熟,已发现 22 年树龄的苹果树的根部在土壤中达到 21 m 的深度。相反,小麦的最大根深限制为 1.9 m。后一个发现与测得的根深度更接近,突出了动态仿真的准确性。该模型显示,较老的苹果园在较深的地方(x3E20 m)显示出土壤水分减少,而小麦田主要影响顶部 2 m 内的水分。我们的结果强调了动态建模在理解根-土水相互作用方面的关键作用。 此外,它们意味着延长果园种植实践会导致深层土壤水分的大量消耗。具体来说,在 1 到 22 年的时间里,已经观察到高达 85 mm yr−1 的缺水。对于 22 年树龄的森林,D-D(粗根和细根的动态分布)方法计算显着的累积深层土壤储水损失。在 22 年的时间里,这一损失达到 1664 毫米,几乎是有记录的年降雨量的三倍。如此大的损失有可能对地下水补给产生重大影响。这凸显了在未来的造林工作中需要仔细考虑,以防止土壤干旱加剧。
更新日期:2024-09-03
中文翻译:
模拟长期土地利用变化对黄土高原深层土壤水文过程的影响
土地利用变化会显著影响干旱和半干旱地区的土壤水文,因此了解植被根系与土壤水分之间的关系至关重要。目前的模型往往无法准确预测根系生长及其对水动力学的影响。我们的工作提出了一种新颖的模型,它将社区土地模型(CLM)与土壤和水评估工具(SWAT)无缝集成。此外,它还增强了 CLM 中的根模块,从而能够更准确地模拟不同树龄的动态根深度和分布。这种改进特别考虑了休眠和植物成熟的关键过程。分析了黄土高原不同年龄苹果树下和麦田的土壤湿度和根系模式。我们的研究结果表明,我们的动态根深模型优于传统的静态模型,并且可以高精度地准确反映土壤水分水平 (R2 = 0.80–0.81;Nash-Sutcliffe 效率 (NSE) = 0.65–0.75)。与利用固定根深度的方法相比,动态根模拟可以提供新的见解。随着苹果园的成熟,已发现 22 年树龄的苹果树的根部在土壤中达到 21 m 的深度。相反,小麦的最大根深限制为 1.9 m。后一个发现与测得的根深度更接近,突出了动态仿真的准确性。该模型显示,较老的苹果园在较深的地方(x3E20 m)显示出土壤水分减少,而小麦田主要影响顶部 2 m 内的水分。我们的结果强调了动态建模在理解根-土水相互作用方面的关键作用。 此外,它们意味着延长果园种植实践会导致深层土壤水分的大量消耗。具体来说,在 1 到 22 年的时间里,已经观察到高达 85 mm yr−1 的缺水。对于 22 年树龄的森林,D-D(粗根和细根的动态分布)方法计算显着的累积深层土壤储水损失。在 22 年的时间里,这一损失达到 1664 毫米,几乎是有记录的年降雨量的三倍。如此大的损失有可能对地下水补给产生重大影响。这凸显了在未来的造林工作中需要仔细考虑,以防止土壤干旱加剧。