Spatial and Temporal Variations in Soil Moisture for a Tamarisk Stand under Groundwater Control in a Hyper-Arid Region

Author:

Yi Xiaobo1,Luo Ji1,Wang Pengyan1,Guo Xiao1,Deng Yuanjie1ORCID,Du Tao2,Wang Haijun1ORCID,Jiao Cuicui1,Yuan Guofu3ORCID,Shao Mingan3

Affiliation:

1. Research Center of Agricultural Economy, School of Economics, Sichuan University of Science & Engineering, Zigong 643000, China

2. Hainan Research Academy of Environmental Sciences, Haikou 571126, China

3. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Abstract

In hyper-arid regions, soil moisture’s role in ecohydrological processes can differ significantly from that in arid or semi-arid ecosystems. We investigated the spatial–temporal dynamics of soil moisture and its relationship with groundwater depths in a 200 m × 300 m phreatophytic tamarisk stand in the lower basin of the Tarim River, a hyper-arid zone in China. Soil moisture profiles, from the surface to the water table, were derived using drilling and oven-drying techniques. Over a three-year period, the soil moisture at multiple depths was continuously monitored in a specific plot using nine frequency domain reflectometry (FDR) sensors. Our results indicate a correlation between horizontal variations in soil moisture and groundwater depths (GWDs). Nevertheless, anomalies in this correlation were observed. Variations in horizontal soil moisture were strongly influenced by the clay content in the soil, with finer soils retaining more moisture. Despite varying GWDs, soil moisture profiles remained consistent, with no distinct correlation between them. Soil moisture exhibited stability across layers, with noticeable changes only adjacent to the water table. These results imply that in hyper-arid environments, soil texture primarily governs soil moisture distribution. However, the limited spatial and temporal scopes in our dataset, constrained by the region’s inhospitable conditions, necessitate further investigation. Future work should prioritize amalgamating diverse data sources to devise a region-specific soil moisture model for in-depth analysis of hyper-arid regions.

Funder

National Natural Science Foundation of China

Research Base for Rural Community Governance, the Education Department of Sichuan Province

Early Career Foundation of Sichuan University of Science & Engineering

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference50 articles.

1. Challenges in humid land ecohydrology: Interactions of water table and unsaturated zone with climate, soil, and vegetation;Laio;Water Resour. Res.,2007

2. Paolo, D.O., and Amilcare, P. (2006). Dryland Ecohydrology, Springer.

3. Modeling monthly reference evapotranspiration process in Turkey: Application of machine learning methods;Bayram;Environ. Monit. Assess.,2023

4. General and regional cross-station assessment of machine learning models for estimating reference evapotranspiration;Zouzou;Acta Geophys.,2023

5. Space-time modeling of soil moisture: Stochastic rainfall forcing with heterogeneous vegetation;Isham;Water Resour. Res.,2006

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3