How shallow and how many points of measurements are sufficient to estimate the deep profile mean soil water content of a hillslope in the Loess Plateau?

Zhang, Yongkun; Huang, Mingbin; Hu, Wei; Suo, Lizhu; Duan, Liangxia; Wu, Lianhai

doi:10.1016/j.geoderma.2017.11.013

Cited by 13 publications

(4 citation statements)

References 41 publications

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“…SWC in the intermediate transects were found to have higher stability (such as H 8‐13 , H 25,26 ) due to higher SWC. Therefore, consistent with previous research results, the middle position of the study area was found to be the most representative (Zhang et al, 2018). In addition, the frequencies of temporal stability of the vertical profile SWC of sampling sites in the 150‐cm, 160‐cm and 170‐cm soil layers were greater, appearing 10 times, 8 times and 10 times, respectively.…”

Section: Resultssupporting

confidence: 91%

“…Therefore, consistent with previous research results, the middle position of the study area was found to be the most representative (Zhang et al, 2018). In addition, the frequencies of temporal stability of the vertical profile SWC of sampling sites in the 150-cm, 160-cm and 170-cm soil layers were greater, appearing 10 times, 8 times and T A B L E 2 Fresh root weight and morphology characteristics (length, surface area, and average root diameter) of 0-500 cm profile (Table 2).…”

Section: Horizontal Spatial Distribution and Temporal Stability Of supporting

confidence: 91%

“…Furthermore, the temporal stability of SWC allows the accurate estimation of SWC using a minimum number of observations (Brocca, Tullo, Melone, Moramarco, & Morbidelli, 2012). For example, at a small spatial scale, Zhang et al (2018) found the optimal number of temporal stability locations to be two; Singh et al (2019) determined that 30 locations are needed at a watershed scale, Dari, Morbidelli, Saltalippi, Massari, and Brocca (2019) determined that a maximum number of 12 locations are needed at a catchment scale. In addition, the temporal stability of SWC provides a strategy to design a SWC field investigation.…”

Section: Introductionmentioning

confidence: 99%

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Spatio‐temporal variability of multi‐layer soil water at a hillslope scale in the critical zone of the Chinese Loess Plateau

Wang

et al. 2020

Hydrological Processes

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Understanding the spatio-temporal variability of soil water content (SWC) in the Critical Zone (CZ) is essential to balance plant-water benefits and to enhance the ability to monitor and predict drought. In current study, the spatial variability and temporal stability of multi-layer SWC to a depth of 500 cm (35 soil layers) at 27 sampling sites were evaluated at a hillslope scale. A total of 64 SWC measurements were obtained from 28 March, 2017 to 23 December, 2018. We hypothesized the existence of a "special point" that is temporally stable both in horizontal direction (which means different layers) and in vertical direction (which means different profiles). We found a clear seasonal dynamic pattern of mean SWC for all sites in the 0-500 cm profile, with SWC varying from 4.0 to 24.8%. In the horizontal layer, both the 130-cm and 140-cm layers contained a maximum number of temporal stability sites (N = 4) which all located at H 11 , H 13 , H 14 and H 26. In the vertical profile, H 19 was the most stable site, followed by H 10 and H 26 , with 15, 10 and 6 stable layers, respectively. The decreasing order of SWC temporal stability was 200-500 cm, 0-500 cm and 0-200 cm, which means the temporal stability of SWC in 0-500 cm profile was more dependent on the 0-200 cm sub-profile. At a three-dimension scale, the most temporal stability layer and site was 180-cm of H 1 and H 21 of 220-cm, which confirmed our hypothesis. This study provides an accurate description of SWC spatio-temporal variation at the hillslope scale, which is helpful for addressing eco-hydrological models and water management issues in the Earth's CZs.

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Section: Resultssupporting

confidence: 91%

Section: Horizontal Spatial Distribution and Temporal Stability Of supporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

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Spatio‐temporal variability of multi‐layer soil water at a hillslope scale in the critical zone of the Chinese Loess Plateau

Wang

et al. 2020

Hydrological Processes

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“…Since then, the temporal stability of SWC has been widely used to identify the average SWC condition in the field ( Huang et al., 2020 ; Zhou et al., 2020 ; Quan et al., 2021 ) to simulate hydrological variables ( Nasta et al., 2018 ). The temporal stability of SWC is influenced by numerous elements, such as the length of the observation period ( Zhang et al., 2018 ) and the type of land use ( Liu and Shao, 2014 ; Zhang et al., 2016 ). Liu and Shao ( Liu and Shao, 2014 ) reported a significant effect of different land use types on SWC in the 0–4 m profile and further validated the feasibility of representative sampling points for estimating the average SWC.…”

Section: Introductionmentioning

confidence: 99%

Response of soil water content temporal stability to stand age of Haloxylon ammodendron plantation in Alxa Desert, China

Zhou

et al. 2023

Front. Plant Sci.

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Afforestation as an effective measure for wind and sand control has achieved remarkable results in northern China, and has also greatly changed the land use and vegetation characteristics of the region. It is important to study the spatial and temporal dynamics of soil water content (SWC) in different afforestation years and its temporal stability to understand the dynamic characteristics of SWC during afforestation. In order to reveal the spatiotemporal dynamic characteristics of SWC in desert area Haloxylon ammodendron (HA)plantations, in this study, five restorative-aged HA plantations in desert areas were selected and their SWC was measured in stratified layers for the 0–400 cm soil profile; we also analyzed the spatiotemporal dynamics and temporal stability of the SWC. The results showed that the SWC of HA plantations decreased with the increase in planting age in the measurement period, and the SWC of deep layers increased by more than that of shallow layers with planting age. Spearman’s rank correlation coefficients for SWC of 0–400 cm in both 5- and 11-year-old HA plantations reached above 0.8 and were highly significantly correlated; the temporal stability of SWC tends to increase as the depth of the soil layer deepens. In contrast, the temporal stability of SWC in deeper layers (200–400 cm) of 22-, 34- and 46-year-old stands showed a decreasing trend with depth. Based on the relative difference analysis, representative sampling points can be selected to monitor the regional average SWC, but for older HA plantations, the uncertainty factor of stand age should be considered in the regional moisture simulation. This study verified that it is feasible to simulate large-scale SWC in fewer observations for HA plantations younger than 11 years old, while large errors exist for older stands, especially for deeper soils. This will help soil moisture management in HA plantations in arid desert areas.

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Study on the Hyperspectral Retrieval and Ecological Risk Assessment of Soil Cr, Ni, Zn Heavy Metals in Tailings Area

Yang

Zhong

2021

Bull Environ Contam Toxicol

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How shallow and how many points of measurements are sufficient to estimate the deep profile mean soil water content of a hillslope in the Loess Plateau?

Cited by 13 publications

References 41 publications

Spatio‐temporal variability of multi‐layer soil water at a hillslope scale in the critical zone of the Chinese Loess Plateau

Spatio‐temporal variability of multi‐layer soil water at a hillslope scale in the critical zone of the Chinese Loess Plateau

Response of soil water content temporal stability to stand age of Haloxylon ammodendron plantation in Alxa Desert, China

Study on the Hyperspectral Retrieval and Ecological Risk Assessment of Soil Cr, Ni, Zn Heavy Metals in Tailings Area

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