Temporal stability and variability of soil-water content in a gravel-mulched field in northwestern China

Zhao, Weijun; Cui, Zhen; Zhang, Jiyi; Jin, Jian

doi:10.1016/j.jhydrol.2017.06.031

Cited by 31 publications

(30 citation statements)

References 43 publications

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“…The positive correlation between SDs and mean VSM in all soil layers in this study is in accordance with the findings of others [21,50,51], but in contrast with some results [52,53]. This difference might be ascribed to the different soil water statuses among those studies [54].…”

Section: Spatial and Temporal Variability Of Vsmsupporting

confidence: 92%

“…The temporal variability of the slope mean VSM decreased with rising soil depth; this is similar to that reported under other land use types, such as grassland [41], gravel-mulched field [21], and artificial re-vegetated desert [42]. Higher temporal variation in spatial variability was also observed in the shallow layer.…”

Section: Spatial and Temporal Variability Of Vsmsupporting

confidence: 86%

“…The relationship between CVs and mean VSM varied in different studies: both decreases [21,43,44] and increases of CVs [45,46] with rising mean VSM were reported. In our study, we observed a VSM threshold below which the CVs correlated with the mean VSM positively but above which they correlated negatively.…”

Section: Spatial and Temporal Variability Of Vsmmentioning

confidence: 99%

“…The temporal stability concept has been proved to be an effective way to analyze the spatial pattern and temporal stability of soil moisture [17,[19][20][21][22]. In past decades, many such studies have been carried out under different conditions of land uses (e.g., grassland, orchard, shrub, farmland, forestland, and gravel-mulched field), climate (e.g., semi-arid, semi-humid, and humid), and spatial scales (e.g., plot, hillslope, and watershed).…”

Section: Introductionmentioning

confidence: 99%

“…Gao et al [24] found higher temporal stability of soil moisture at the points with higher clay content for a jujube orchard on a slope. Zhao et al [21] used the temporal stability analysis to determine a representative location for estimating the mean soil moisture of a gravel-mulched field. These studies provided a theoretical basis for soil moisture prediction and management under different conditions.…”

Section: Introductionmentioning

confidence: 99%

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Spatial Pattern and Temporal Stability of Root-Zone Soil Moisture during Growing Season on a Larch Plantation Hillslope in Northwest China

Liu

Wang

et al. 2018

Forests

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Soil moisture plays a decisive role for tree growth and forest ecosystems services supply in dryland regions. Hence, it is necessary to clarify the spatio-temporal variation of soil moisture under field conditions. This study selected a hillslope in the Liupan Mountains covered by the plantation of Larix principis-rupprechtii Mayr (larch), a main afforestation tree species in north and northwest China. The volumetric soil moisture (VSM) in root zone layers was monitored with a time interval of about 15 days during the growing season (from May to October) in 2016 at 48 points on this hillslope. The aim was to evaluate the spatial pattern and temporal stability of soil moisture at slope scale. The results showed a moderate spatial variability of VSM in each soil layer, with the variation coefficients range of 17.12-22.63%. The spatial variability of VSM showed a dependence on the soil wetness and a threshold effect, it increased with rising VSM until the VSM reached a threshold of about 15%, but thereafter decreased. The mean relative difference (MRD) among the 48 points ranged from −30.56% to 27.20%, −29.89% to 39.58%, and −28.13% to 33.71% for the soil layers of 0-20, 20-40, and 40-60 cm, respectively. The associated standard deviation (SDRD) (and range) was 11.38% (5.20-26.06%), 8.28% (4.64-15.63%), and 6.51% (2.00-14.16%) for the soil layers of 0-20, 20-40, and 40-60 cm, respectively. The high Spearman's rank coefficients (p < 0.05) among the measuring dates at each soil layer indicated that the spatial distribution of VSM in the root zone had strong temporal stability. The decrease of Spearman' rank correlation coefficient and mean SDRD with rising soil depth indicated an increasing temporal stability of VSM with rising soil depth. The mean VSM of the three soil layers on the entire hillslope can be estimated by the direct method (using representative points determined by the index of temporal stability (ITS)) successfully, and these representative points determined by ITS were mainly located at the points with a ratio of field capacity to leaf area index (LAI) close to the slope mean. Moreover, the mean VSM of the three soil layers on the entire hillslope can also be estimated by indirect method (using the time-stable points determined by mean absolute bias error (MABE) and considering the offset between slope mean VSM and observed VSM at time-stable points), and the prediction accuracy of the indirect method was better than the direct method. Significant correlation between MRD and soil bulk density, field capacity, capillary porosity, and LAI were observed for all soil layers, indicating that both the water-retention ability in root zone soil (expressed mainly by field capacity) and water-consumption ability of trees (expressed mainly by canopy LAI) are the main factors controlling the spatial pattern of root-zone VSM on the larch plantation hillslope studied.

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Section: Spatial and Temporal Variability Of Vsmsupporting

confidence: 92%

Section: Spatial and Temporal Variability Of Vsmsupporting

confidence: 86%

Section: Spatial and Temporal Variability Of Vsmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial Pattern and Temporal Stability of Root-Zone Soil Moisture during Growing Season on a Larch Plantation Hillslope in Northwest China

Liu

Wang

et al. 2018

Forests

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Spatial variability of maize leaf area and relationship with yield

Zhang

Liu

et al. 2022

Agronomy Journal

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Leaf area is an important factor affecting crop yield. However, leaf area has spatial variability and the relationship between leaf area and yield have scale dependence. For these reasons, we establish multifractal model of maize (Zea mays L.) leaf area and joint multifractal model of maize leaf area and yield. The experiment was carried at the Xiangyang base of Northeast Agricultural University. The size of experimental plot was 9,216 m2 which included 64 sampling points. The spatial and temporal variability of maize leaf area was studied with traditional statistics and multifractal methods, and the relationship between maize leaf area and yield at multiple scales was analyzed with the joint multifractal method. Multifractal theory can effectively characterize spatial and temporal variability of maize leaf area and multiscale relationship between leaf area and yield. Maize leaf area exhibited a moderate degree of variation which first decreased then increased with the change in the growth stage, and spatial variability at different growth stages was mainly caused by low leaf area values . At the observed scale, axis weight per ear, ear weight, and grain weight per ear were most significantly related to maize leaf area at the milk, filling, and jointing stages; at the multiscale level, axis weight per ear was most significantly related to maize leaf area at the tasseling, filling, milk, and jointing stages, and ear weight and grain weight per ear were most significantly related to maize leaf area at the tasseling, filling and ripening stages.

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Comparison of IDW, cokriging and ARMA for predicting spatiotemporal variability of soil salinity in a gravel–sand mulched jujube orchard

Zhao

Cao

et al. 2019

Environ Monit Assess

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Temporal stability and variability of soil-water content in a gravel-mulched field in northwestern China

Cited by 31 publications

References 43 publications

Spatial Pattern and Temporal Stability of Root-Zone Soil Moisture during Growing Season on a Larch Plantation Hillslope in Northwest China

Spatial Pattern and Temporal Stability of Root-Zone Soil Moisture during Growing Season on a Larch Plantation Hillslope in Northwest China

Spatial variability of maize leaf area and relationship with yield

Comparison of IDW, cokriging and ARMA for predicting spatiotemporal variability of soil salinity in a gravel–sand mulched jujube orchard

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