Estimating the field capacity and permanent wilting point at the regional scale for the Hexi Corridor in China using a state-space modeling approach

Li, Xiangdong; Shao, Mingan; Zhao, Chunlei

doi:10.1007/s11368-019-02314-6

Cited by 5 publications

(1 citation statement)

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“…According to existing research 24 , we constrained n within the range from 1.0 to 7.0 and α within the range from 0 to 100 (m −1 ) during the fitting process. Field capacity (FC) and permanent wilting point (PWP) are two key parameters that determine the soil water availability for plants and the maximum soil water-holding capacity 56 . Hence, utilising the SWRC curves derived from the fitted VG models at each point, we projected the volumetric water content corresponding to FC (−1/3 bar, −3.37 mH 2 O) and PWP (−15 bar, −152.96 mH 2 O) for these sampling locations 57 .…”

Section: Methodsmentioning

confidence: 99%

Dataset of soil hydraulic parameters in the Yellow River Basin based on in situ deep sampling

Tong,

Wang,

Zhou

et al. 2024

Sci Data

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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 km2) 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.

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Section: Methodsmentioning

confidence: 99%