Identifying scale specific controls of soil water storage in a hummocky landscape using wavelet coherency

Biswas, Asim; Cheng, Bing

doi:10.1016/j.geoderma.2011.07.002

Cited by 90 publications

(58 citation statements)

References 66 publications

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“…In addition, the 0-60 cm soil layer corresponds to the active root zone in which the vegetation tends to uptake water held in the soil at the highest potentials at faster rates than that held at lower potentials. This phenomenon leads to the distribution of SWC within the rooting depths becoming more uniform among locations (Biswas and Si, 2011). Thus, the vegetation can reduce the spatial variability of SWC that would otherwise be greater if it resulted from the heterogeneity of the topography (Hawley et al, 1983) and texture (Tallon and Si, 2004) alone.…”

Section: Controlling Factors Of Variability and Temporal Stability Inmentioning

confidence: 99%

Spatio-temporal variability and temporal stability of water contents distributed within soil profiles at a hillslope scale

Gao

Shao

Peng

et al. 2015

CATENA

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a b s t r a c t a r t i c l e i n f oInformation about soil water content (SWC) within soil profiles in terms of its spatio-temporal variability and temporal stability is crucial when selecting appropriate soil water management practices. However, detailed profile distribution features for related indices are not clear on the Chinese Loess Plateau. This study aimed to investigate the depth dependency of spatio-temporal variability and temporal stability of SWC at the hillslope scale using an intensive sampling strategy for both horizontal and vertical directions as well as over time. The SWCs at 20 depths within 0-300 cm soil profiles were measured on 20 occasions between July 2008 and October 2010 at 91 locations on a hillslope on the Loess Plateau, China. Results showed that although the profile distributions of investigated statistical parameters differed greatly, they were all depth dependent. Based on both the spatio-temporal variability and the temporal stability characteristics using eight indices, the studied soil profile (0-300 cm) could be divided into three soil layers, i.e., 0-60, 60-160 and 160-300 cm, with a characteristic feature of "irregularly changing", "regularly changing", and "relatively constant", respectively. The deepest rainwater replenishment depth was approximately 160 cm. Therefore, choosing 200 cm as the sampling depth would be sufficient in similar areas. Such findings are useful for designing an optimal strategy for sampling and management of profile soil moisture.

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Section: Controlling Factors Of Variability and Temporal Stability Inmentioning

confidence: 99%

Spatio-temporal variability and temporal stability of water contents distributed within soil profiles at a hillslope scale

Gao

Shao

Peng

et al. 2015

CATENA

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“…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%

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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“…It enables analysis of multi-scale stationary and/or nonstationary soil spatial variation over a finite spatial domain and has become popular for examining scale and location dependent soil spatial variation [23,[29][30][31][32][33]. A review of the application of the wavelet transform in soil science can be found in Biswas and Si [34].…”

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confidence: 99%

Application of Multifractal and Joint Multifractal Analysis in Examining Soil Spatial Variation: A Review

Biswas¹,

Cresswell²,

Bing³

2012

Fractal Analysis and Chaos in Geosciences

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Identifying scale specific controls of soil water storage in a hummocky landscape using wavelet coherency

Cited by 90 publications

References 66 publications

Spatio-temporal variability and temporal stability of water contents distributed within soil profiles at a hillslope scale

Spatio-temporal variability and temporal stability of water contents distributed within soil profiles at a hillslope scale

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

Application of Multifractal and Joint Multifractal Analysis in Examining Soil Spatial Variation: A Review

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