Soil moisture variability of root zone profiles within SMEX02 remote sensing footprints

Choi, Minha; Jacobs, Jennifer M.

doi:10.1016/j.advwatres.2006.07.007

Cited by 172 publications

(137 citation statements)

References 39 publications

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“…For example, SD T and CV T decreased from 3.06 and 35.10% at 10 cm to 0.55 and 3.74% at 300 cm, respectively (Table 1). These results indicated that the temporal changes of SWC decreased with increasing depth, consistent with the findings by Choi and Jacobs (2007), Gao and Shao (2012a), Table 1 Temporal-spatial statistics of mean soil-water content (SWC) for various soil depths.…”

Section: Temporal-spatial Dynamics Of Swc Within the Soil Profilesupporting

confidence: 86%

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: Temporal-spatial Dynamics Of Swc Within the Soil Profilesupporting

confidence: 86%

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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“…Soil moisture is highly and nonlinearly variable in both time and space due to heterogeneity of climate and soil across different scales (Heathman et al, 2012). Studies have identified important spatiotemporal variability characteristics of SWC from different aspects, such as the spatio-temporal patterns of SWC (Cantón et al, 2004;Brocca et al, 2007), the relationship between the heterogeneity and its mean values (Hupet and Vanclooster, 2002;Choi and Jacobs, 2007), the spatial scaling of SWC (Western and Blöschl, 1999;Gao and Shao, 2012a), and the controlling factors of spatio-temporal patterns (Gómez-Plaza et al, 2001;Zhao et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…One of those studies was performed by Choi and Jacobs (2007) but only for a limited soil depth, i.e., the 0-31 cm soil layer, and reported that the standard deviation of SWC tended to decrease as soil depth increased. Another study, carried out by Hupet and Vanclooster (2002) over a limited area (0.63 ha), concluded that the dependency was different in upper soil layers (0-75 cm) from lower ones (100 and 125 cm).…”

Section: Introductionmentioning

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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“…Geographic station profiles including latitude, longitude and altitude were also obtained together with the meteorological measurements (Table S1). We note that the in situ soil moisture data used in this study may be used as a representative value of larger areas based on the normality of the data (Vachaud et al 1985;Choi and Jacobs 2007;Brocca et al 2009). …”

Section: In Situ Measurements Datamentioning

confidence: 99%

Ecosystem-dynamics link to hydrologic variations for different land-cover types

Choi¹,

Mu²,

Kim³

et al. 2017

Terr. Atmos. Ocean. Sci.

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The soil moisture and evapotranspiration (ET) influence on ecosystem dynamics has been studied only in a limited way owing to the lack of large-scale measurements. The Normalized Difference Vegetation Index (NDVI) data retrieved using the Moderate Resolution Imaging Spectroradiometer (MODIS) was successfully used in this study to identify the ecological relationships that involve soil moisture and ET at 132 sites located on different continents around the world. Optimal relationships exist between NDVI and soil moisture within time lags of 10 days at forest and grassland sites, and 25 days at cropland and shrub land sites. The ecological correlations between NDVI and the hydrological variables are affected mainly by the land-cover type. The densely vegetated areas show shorter time lags for NDVI to ET owing to canopy evaporation and plant transpiration, which are almost simultaneous with NDVI.

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Soil moisture variability of root zone profiles within SMEX02 remote sensing footprints

Cited by 172 publications

References 39 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

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

Ecosystem-dynamics link to hydrologic variations for different land-cover types

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