亚马逊树木对土壤水分的吸收及其对LBA通量塔能量通量和土壤水分动态影响的模拟

Q4 Earth and Planetary Sciences
P. Zanin
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引用次数: 0

摘要

摘要观测和建模研究表明,亚马逊盆地的蒸散需要树根更深的土壤水分吸收。因此,本研究使用Eta/CPTEC区域气候模型,对亚马逊树根不同深度的土壤水分吸收进行了三次数值模拟实验。根据观测研究,在“对照”和“深层土壤浅根”实验中,树根吸收土壤水分的深度设定为2米,而在“深层土壤深根”实验中将该深度设定为7.2米。与其他实验相比,“深层土壤深层根”实验更好地模拟了LBA通量塔的能量平衡。此外,通过“深层土壤深层根”实验,在降水季节性强的地区,蒸散的季节性降低,而水分的季节性在浅土层降低,在深层增加。此外,在降水季节性强的地区,更深的土层具有年际水文记忆,而在所有地区,土壤水分记忆与降水量呈负相关,每个土层的行为不同。总之,亚马逊树木更深的土壤水分吸收对亚马逊盆地的能量平衡和土壤水分动态很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soil Water Uptake by Amazonian Trees and Simulation of Impacts on Energy Fluxes and Soil Moisture Dynamics at the LBA Flux Towers
Abstract Observational and modeling studies show that a deeper soil water uptake by tree roots is required for evapotranspiration in the Amazon Basin. Therefore, this study performed three numerical modeling experiments with different depths of soil water uptake by Amazonian tree roots using the Eta/CPTEC regional climate model. In the “Control” and “Deep Soil Shallow Root” experiments the depth of soil water uptake by tree roots is set up with 2 m, while in the “Deep Soil Deep Root” experiment this depth is set up with 7.2 m, according to the observational studies. The energy balance at the LBA flux towers is better simulated in the “Deep Soil Deep Root” experiment than in other experiments. Moreover, with the “Deep Soil Deep Root” experiment the seasonality of evapotranspiration is reduced in the regions where there is strong seasonality of precipitation, while the seasonality of moisture is reduced in shallow soil layers and increases in the deeper soil layers. In addition, in the regions with strong seasonality of precipitation the deeper soil layers have an inter-annual hydrological memory, and in all regions the soil moisture memory is inversely related to the amount of precipitation, with different behaviors in each soil layer. In conclusion, the deeper soil water uptake by the Amazonian trees is important for the energy balance and soil moisture dynamics in the Amazon Basin.
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来源期刊
Revista Brasileira de Meteorologia
Revista Brasileira de Meteorologia Earth and Planetary Sciences-Atmospheric Science
CiteScore
1.70
自引率
0.00%
发文量
26
审稿时长
16 weeks
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