Evaluation of the WEPS hydrology sub-model for surface soil water content under different tillage practices in the inland Pacific Northwest, USA

IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Huawei Pi , David R. Huggins , Larry.E. Wagner , Fred. Fox , Sisi Li , Nicholas P. Webb
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Abstract

Surface soil water content (SSWC) is an important factor affecting wind erosion and crop management decisions, especially in semi-arid and arid regions that are often characterized by low rainfall and thus encounter severe wind erosion and insufficient seed-zone water for planting. Land management practices (e.g. tillage) play an important function in soil hydro-physical properties by modifying soil structure and soil surface characteristics. However, predicting SSWC spatio-temporal variability, and effects on wind erosion, in response to different land management practices is challenging. One tool available to soil conservationists is the Wind Erosion Prediction System (WEPS), which incorporates predictions of SSWC into a process-based model to simulate field-scale wind erosion. In this study, we test the WEPS hydrology sub-model, as typically applied by soil conservationists, to simulate the SSWC of agricultural land with disk, minimum tillage, and no-tillage treatments for winter wheat–summer fallow rotation at 12 sites from 2004 to 2019 in the inland Pacific Northwest (iPNW), USA. Despite widespread application of WEPS for conservation planning, little is known about the effectiveness of the WEPS hydrological sub-model when applied to contrasting tillage systems. The performance of the model differed among each tillage treatment. We found reasonable agreement between simulated SSWC and experimental measurements in the upper 10 cm across all periods as indicated by high value for the index of agreement (d = 0.7) for no-tillage. However, the model overestimated SSWC for disk and no-tillage across various layers in the upper 30 cm. The overestimation was due to the model improperly simulating some higher SSWC (>0.2 m3 m−3) values for both tillage treatments. The WEPS also overestimated SSWC for the minimum tillage treatment with d = 0.67. As SSWC suppresses wind erosion by increasing cohesion between soil grains, overestimating SSWC is likely to lead to underprediction of wind erosion risk by WEPS for the studied tillage systems. Care should, therefore, be taken by practitioners when using WEPS to assess potential wind erosion risks and benefits of tillage treatments in the iPNW. Our results contribute to the ongoing development of a serviceable tool for soil and water conservation planning in the iPNW.
美国内陆太平洋西北地区不同耕作方式下表层土壤含水量的WEPS水文子模型评价
地表土壤含水量(SSWC)是影响风蚀和作物管理决策的重要因素,特别是在半干旱和干旱地区,这些地区往往以降雨量少为特征,因此面临严重的风蚀和种子区种植用水不足。土地管理措施(如耕作)通过改变土壤结构和土壤表面特征在土壤水物理特性中发挥重要作用。然而,预测不同土地管理措施下SSWC的时空变化及其对风蚀的影响具有挑战性。土壤保护主义者可以使用的一个工具是风蚀预测系统(WEPS),该系统将SSWC的预测纳入到一个基于过程的模型中,以模拟田间尺度的风蚀。在这项研究中,我们测试了土壤保护学家通常使用的WEPS水文子模型,模拟了2004 - 2019年美国内陆太平洋西北地区(iPNW) 12个站点的冬小麦-夏休耕轮作中轮作盘、少耕和免耕农用地的SSWC。尽管WEPS在保护规划中得到了广泛的应用,但人们对WEPS水文子模型在对比耕作系统中的有效性知之甚少。该模型在不同耕作方式下的表现不同。我们发现模拟SSWC和实验测量值在所有时期的上10cm处都有合理的一致性,这表明免耕的一致性指数很高(d = 0.7)。然而,该模型高估了盘播和免耕在30 cm以上各层的SSWC。高估是由于模型不正确地模拟了两种耕作处理的一些较高的SSWC值(>0.2 m3 m−3)。WEPS也高估了最小耕作处理的SSWC, d = 0.67。由于SSWC通过增加土壤颗粒间的粘聚力来抑制风蚀,因此高估SSWC可能导致WEPS对所研究耕作系统的风蚀风险预测过低。因此,在使用WEPS评估iPNW耕作处理的潜在风蚀风险和收益时,从业人员应多加小心。我们的研究结果有助于持续开发一种实用的工具,用于iPNW的水土保持规划。
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来源期刊
Catena
Catena 环境科学-地球科学综合
CiteScore
10.50
自引率
9.70%
发文量
816
审稿时长
54 days
期刊介绍: Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment. Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.
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