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

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