Watershed scale temporal stability of soil water content

Hu, Wei; Shao, Mingan; Han, Fengpeng; Reichardt, Klaus; Tan, Jiyuan

doi:10.1016/j.geoderma.2010.04.030

Cited by 190 publications

(164 citation statements)

References 49 publications

(83 reference statements)

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“…The relatively greater range of MRD at 10 cm may be attributed to the stronger influence on the spatial variability of SWC of processes such as rainfall, evapotranspiration, and runoff. The increasing ranges of MRD across the 60-300 cm depths, however, may be mostly due to the wider range of soil texture with increasing depth in this area (Hu et al, 2010b). In addition, the absolute values of the minimum MRDs were lower than those of the maximum MRDs at each selected depth (Fig.…”

Section: Relationships Of Swc Among Various Soil Depths Within the Somentioning

confidence: 81%

“…The predominant plants are purple alfalfa (Medicago sativa L.), Korshinsk Peashrub (Caragana korshinskii K.), and bunge needlegrass (Stipa bungeana T.). The soils are classified as aeolian sandy soils and Ust-Sandiic Entisol soils (Hu et al, 2010b).…”

Section: Study Area and Experimental Designmentioning

confidence: 99%

“…These calibrations were conducted three times during the sampling period (April, June, and October 2013) under different soil-water conditions. These 12 locations were selected because the mean and range of the neutron counting data approximated those of all tubes along the transect (Hu et al, 2010b;Liu and Shao, 2014). They also represented the principal soils, landforms, and vegetation.…”

Section: Measurement Of Swcmentioning

confidence: 99%

“…The concept of temporal stability of spatial patterns of SWC was first introduced by Vachaud et al (1985), who defined it as "the time-invariant association between spatial location and classical statistical parameters of a given soil property". The temporal stability of SWC has been investigated for different soil depths (Zhang and Shao, 2013;Heathman, 2009), land uses (Hu et al, 2010a;Williams et al, 2009;Lin, 2006), scales (Martínez-Fernández and Ceballos, 2003;Jia and Shao, 2013;Hu et al, 2010b;Gao et al, 2011), regions (Biswas and Si, 2011b;Jia et al, 2013a;Zhang and Shao, 2013), measurement periods (Guber et al, 2008;de Rosnay, et al, 2009;Zhao, et al, 2010;Biswas and Si, 2011b;Liu and Shao, 2014), and measuring instruments (Jacobs et al, 2004;Gao and Shao, 2012b;Wang et al, 2013;Penna et al, 2013). The characteristics of the temporal stability of SWC vary with depth, but little is known about the precise changes of SWC and its temporal stability in soil profiles due to coarse division of previous soil profiling.…”

Section: Introductionmentioning

confidence: 99%

“…The temporal stability of SWC relies on many factors such as soil properties, vegetation, and topography (Vachaud et al, 1985;Hu et al, 2010b;Zhao et al, 2010;Jia et al, 2013a;Jia and Shao, 2013). Temporal stability is also associated with the status of the SWC (Martínez-Fernández and Ceballos, 2003;Gao and Shao, 2012a;Jia et al, 2013b).…”

Section: Introductionmentioning

confidence: 99%

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Profile distribution of soil–water content and its temporal stability along a 1340-m long transect on the Loess Plateau, China

Shao

Jia

et al. 2016

CATENA

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Information on the profile characteristics of soil-water content (SWC) and its temporal stability is essential for an accurate understanding of hydrological processes. This study investigated changes of spatial variation and temporal stability of SWC in soil profiles and estimated mean SWC based on direct and indirect methods. SWCs were measured at 20-cm intervals in the soil profiles to a depth of 3 m using neutron probes at 135 locations along a 1340-m long transect on 18 sampling dates from 2012 to 2013 on the Loess Plateau in China. The coefficient of variation over space (CV S ) of SWC first decreased and then increased vertically. The coefficient of variation over time (CV T ) of SWC decreased along the soil profiles. The spatial patterns of SWC strongly persisted vertically and temporally. Mean Spearman's rank correlation coefficients decreased from a depth of 10 to a depth of 20 cm, fluctuated from 20 to 180 cm, and then increased below 200 cm. Temporal stability increased along the soil profiles based on the standard deviation of mean relative difference (SDRD) and the mean absolute bias error (MABE). The number of locations with an SDRD and/or MABE b 5% increased along the soil profile, and the number of locations with a mean relative difference within ±5% and/or representative locations were variably dependent on depth. Both direct and indirect methods could accurately estimate the mean SWC for each depth based on the mean absolute relative errors and root mean square errors. The driest and wettest locations tended to remain representative for more depths than did locations with mean-moistures. The driest locations were more likely to be the most temporally stable. These findings should improve our understanding of soil-water dynamics in soil profiles.

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Section: Relationships Of Swc Among Various Soil Depths Within the Somentioning

confidence: 81%

Section: Study Area and Experimental Designmentioning

confidence: 99%

Section: Measurement Of Swcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Profile distribution of soil–water content and its temporal stability along a 1340-m long transect on the Loess Plateau, China

Shao

Jia

et al. 2016

CATENA

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Abiotic and biotic controls of soil moisture spatiotemporal variability and the occurrence of hysteresis

Fatichi

Katul

Ivanov

et al. 2015

Water Resources Research

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An expression that separates biotic and abiotic controls on the temporal dynamics of the soil moisture spatial coefficient of variation C v (h) was explored via numerical simulations using a mechanistic ecohydrological model, Tethys-Chloris. Continuous soil moisture spatiotemporal dynamics at an exemplary hillslope domain were computed for six case studies characterized by different climate and vegetation cover and for three configurations of soil properties. It was shown that abiotic controls largely exceed their biotic counterparts in wet climates. Biotic controls on C v (h) were found to be more pronounced in Mediterranean climates. The relation between C v (h) and spatial mean soil moisture h was found to be unique in wet locations, regardless of the soil properties. For the case of homogeneous soil texture, hysteretic cycles between C v (h) and h were observed in all Mediterranean climate locations considered here and to a lesser extent in a deciduous temperate forest. Heterogeneity in soil properties increased C v (h) to values commensurate with field observations and weakened signatures of hysteresis at all of the studied locations. This finding highlights the role of site-specific heterogeneities in hiding or even eliminating the signature of climatic and biotic controls on C v (h), thereby offering a new perspective on causes of confounding results reported across field experiments.

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Spatial representativeness of soil moisture using in situ, remote sensing, and land reanalysis data

et al. 2015

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This study investigates the spatial representativeness of the temporal dynamics of absolute soil moisture and its temporal anomalies over North America based on a range of data sets. We use three main data sources: in situ observations, the remote-sensing-based data set of the European Space Agency Climate Change Initiative on the Essential Climate Variable soil moisture (ECV-SM), and land surface model estimates from European Centre for Medium-Range Weather Forecasts's ERA-Land. The intercomparisons of the three soil moisture data sources are performed at the in situ locations as well as for the full-gridded products. The applied method allows us to quantify the spatial footprint of soil moisture. At the in situ locations it is shown that for absolute soil moisture the ECV-SM and ERA-Land products perform similarly, while for the temporal anomalies the ECV-SM product shows more similarity in spatial representativeness with the in situ data. When taking into account all grid cells of the ECV-SM and ERA-Land products to calculate spatial representativeness, we find the largest differences in spatial representativeness for the absolute values. The differences in spatial representativeness between the single products can be related to some of their intrinsic characteristics, i.e., for ECV-SM low similarities are found in topographically complex terrain and areas with dense vegetation, while for ERA-Land the smoothed model topography and surface properties affect soil moisture and its spatial representativeness. Additionally, we show that the applied method is robust and can be used to analyze existing networks to provide insight into the locations in which higher station density would be of most benefit.

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Watershed scale temporal stability of soil water content

Cited by 190 publications

References 49 publications

Profile distribution of soil–water content and its temporal stability along a 1340-m long transect on the Loess Plateau, China

Profile distribution of soil–water content and its temporal stability along a 1340-m long transect on the Loess Plateau, China

Abiotic and biotic controls of soil moisture spatiotemporal variability and the occurrence of hysteresis

Spatial representativeness of soil moisture using in situ, remote sensing, and land reanalysis data

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