Tong Yongping, Wang Yunqiang, Zhou Jingxiong, Guo Xiangyu, Wang Ting, Xu Yuting, Sun Hui, Zhang Pingping, Li Zimin, Lauerwald Ronny
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.
Sci Data. 2024 Jul 7;11(1):740. doi: 10.1038/s41597-024-03576-7.
Soil hydraulic parameters are vital for precisely characterizing soil hydrological processes, which are critical indicators for regulating climate change effects on terrestrial ecosystems and governing feedbacks between water, energy, and carbon-nitrogen cycles. Although many studies have integrated comprehensive soil datasets, data quality and cost challenges result in data completeness deficiencies, especially for deep soil information. These gaps not only impede methodological endeavours but also constrain soil parameter-based ecosystem process studies spanning from local profiles to global earth system models. We established a soil dataset across the entire Yellow River Basin (YRB) (795,000 km) using high-density in situ field sampling. This observation-based dataset contains records of soil texture (2924), bulk density (2798), saturated hydraulic conductivity (2782), and water retention curve parameters (1035) down to a maximum depth of 5 m. This dataset, which extends the recorded data range for deep soil hydraulic parameters, is valuable as a direct data resource for environmental, agronomical and hydrological studies in the YRB and regions with similar pedological and geological backgrounds around the world.
土壤水力参数对于精确描述土壤水文过程至关重要，而土壤水文过程是调节气候变化对陆地生态系统的影响以及控制水、能量和碳氮循环之间反馈的关键指标。尽管许多研究整合了全面的土壤数据集，但数据质量和成本问题导致数据存在完整性不足，尤其是深层土壤信息。这些差距不仅阻碍了方法学研究，还限制了从局部剖面到全球地球系统模型的基于土壤参数的生态系统过程研究。我们利用高密度原位实地采样建立了一个覆盖整个黄河流域（79.5万平方千米）的土壤数据集。这个基于观测的数据集包含了土壤质地（2924个记录）、容重（2798个记录）、饱和导水率（2782个记录）以及水分保持曲线参数（1035个记录），最大深度达5米。该数据集扩展了深层土壤水力参数的记录数据范围，作为黄河流域以及世界上具有相似土壤学和地质背景地区环境、农业和水文研究的直接数据资源，具有重要价值。
