Coupling soil water processes and the nitrogen cycle across spatial scales: Potentials, bottlenecks and solutions

Coupling soil water processes and the nitrogen cycle across spatial scales: Potentials, bottlenecks and solutions
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跨空间尺度耦合土壤水过程和氮循环:潜力、瓶颈和解决方案

DOI:
10.1016/j.earscirev.2018.10.005
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发表时间:
2018-12
影响因子:
12.1
通讯作者:
Guishan Yang
Guishan Yang
中科院分区:
地球科学1区
文献类型:
--
作者:
Qing Zhu;Michael J. Castellano;Guishan Yang

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土壤水分过程和氮循环之间的相互作用决定着地球临界带的生物生产力和环境结果。土壤水分以两种不同但相互作用的方式影响氮循环。首先,土壤含水量(SWC)的时空变化控制氧化和还原化合物之间的氧化还原耦合,从而氮矿化,硝化和反硝化。其次,地下水流控制着水和溶解氮的运动。这两个过程相互作用,使地下流动动力学控制相对静态的发生,孤立的土壤溶液环境,跨越一系列的还原氧化条件。然而,土壤水氮循环通常被视为黑箱。以N循环为中心的模型简化了土壤水分参数,而以土壤水分过程为中心的模型简化了N循环参数。此外,缺乏处理升级问题的有效办法。新技术将允许跨时间和空间的土壤水氮循环的全面耦合:1)利用水文地球物理工具探测土壤水分过程,然后与电化学氮传感器连接,揭示土壤氮循环;(2)通过在土壤水-氮循环与水文土壤学功能单元中的辅助土壤、地形和植被变量之间构建函数,扩大小尺度观测和模拟,(3)将土壤水文学模型与氮素循环模型相结合,以避免这些模型中对氮素地球化学和土壤水文学机制的过度简化。这些建议将提高我们对土壤水分动态和氮循环之间相互作用的理解,从而改善氮损失作为温室气体排放和水污染的重要来源的建模。
Interactions among soil water processes and the nitrogen (N) cycle govern biological productivity and environmental outcomes in the earth's critical zone. Soil water influences the N cycle in two distinct but interactive modes. First, the spatio-temporal variation of soil water content (SWC) controls redox coupling among oxidized and reduced compounds, and thus N mineralization, nitrification, and denitrification. Secondly, subsurface flow controls the movement of water and dissolved N. These two processes interact such that subsurface flow dynamics control the occurrence of relatively static, isolated soil solution environments that span a range of reduced to oxidized conditions. However, the soil water-N cycle is usually treated as a black box. Models focused on N cycling simplify soil water parameters, while models focused on soil water processes simplify N cycling parameters. In addition, effective ways to deal with upscaling are lacking. New techniques will allow comprehensive coupling of the soil water-N cycle across time and space: 1) using hydrogeophysical tools to detect soil water processes and then linked to electrochemical N sensors to reveal the soil N cycle, (2) upscaling small-scale observations and simulations by constructing functions between soil water-N cycle and ancillary soil, topography and vegetation variables in the hydropedological functional units, and (3) integrating soil hydrology models with N cycling models to minimize the over-simplification of N biogeochemistry and soil hydrology mechanisms in these models. These suggestions will enhance our understanding of interactions among soil water dynamics and the N cycle, thus improving modeling of N losses as important sources of greenhouse gas emissions and water pollution.
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