Depth persistence of the spatial pattern of soil–water storage along a small transect in the Loess Plateau of China

Li, Xuezhang; Shao, Mingan; Jia, Xiaoxu; Wei, Xiaorong; He, Liang

doi:10.1016/j.jhydrol.2015.08.039

Cited by 29 publications

(8 citation statements)

References 58 publications

(92 reference statements)

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“…SOC, soil organic carbon; STP, soil total phosphorus; STN, soil total nitrogen. 2012; Jia et al, 2013;Li et al, 2015), related to the soil, terrain, vegetation characteristics, and the study area scale (Schneider et al, 2008;Brocca et al, 2009). Average SDRD values in rainy and dry seasons decreased with the soil depth, similarly to previous research results (Guber et al, 2008;Penna et al, 2013;Liu and Shao, 2014).…”

Section: Mean Swc At Representative Locationssupporting

confidence: 85%

“…Direct or indirect estimation of the spatial mean SWC at different scales through the most temporally stable location or representative locations is very effective and feasible with accurate estimation results. (Grayson and Western, 1998;Guber et al, 2008;Hu and Si, 2014;Li et al, 2015;He et al, 2019). It is also able to accurately estimate the multi-year average SWC within the allowed error range (Schneider et al, 2008;Liu and Shao, 2014).…”

Section: Introductionmentioning

confidence: 98%

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Soil Moisture Estimation and Its Influencing Factors Based on Temporal Stability on a Semiarid Sloped Forestland

Cheng

et al. 2021

Front. Earth Sci.

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Soil water content (SWC) plays a crucial role in the hydrological cycle and ecological restoration in arid and semi-arid areas. Studying the temporal stability of SWC spatial distribution is a requirement for the dynamic monitoring of SWC and the optimization of water resource management. The SWC in a Pinus tabulaeformis Carr. forest on the slope of the Loess Plateau of China were analyzed in five soil layers (0–100 cm with an interval of 20 cm) in the rainy and dry seasons from July 2014 to November 2017. The mean SWC was estimated and the main factors affecting the temporal stability of the SWC were further analyzed. Results showed that the SWC had strong temporal stability during the two seasons for several consecutive years. The temporal stability of SWC and the number of representative locations varied with season and depth. The elevation, soil total phosphorus (STP), clay, silt, or sand content of the representative locations approached the corresponding mean value of the study area. A single representative location accurately represented the mean SWC for the five depths in the rainy and dry seasons (RMSE <2%; rainy season: 0.81 < R2 < 0.94; dry season: 0.63 < R2 < 0.83; p < 0.01). The mean relative difference (MRD) and the relative difference standard deviation (SDRD) changed with the seasons and were significantly correlated with elevation, root density, and sand and silt content in two seasons (p < 0.05). Elevation, root density, and sand content were the main factors influencing the change of SWC temporal stability in different seasons. The results provide scientific guidance to monitor SWC by using a small number of locations and enrich our understanding of the factors affecting the temporal stability of SWC in the rainy and dry seasons of the Loess Plateau of China.

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Section: Mean Swc At Representative Locationssupporting

confidence: 85%

Section: Introductionmentioning

confidence: 98%

Soil Moisture Estimation and Its Influencing Factors Based on Temporal Stability on a Semiarid Sloped Forestland

Cheng

et al. 2021

Front. Earth Sci.

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“…The correlation coefficients were 0.740 and 0.612 for the two calibrations. This correlation coefficient was much lower than the correlation accuracy evaluated in other areas (Hu, Shao, Han, Reichardt, & Tan, ; Jia, Shao, Zhang, & Zhao, ; Li, Shao, Jia, Wei, & He, ) mainly due to the influence of gravel and stones in the alpine‐meadow soil. Even so, both correlations were significant at p <.001, indicating that the calibration curves were suitable for inferring SWC from the neutron counting rate in the study area.…”

Section: Methodscontrasting

confidence: 65%

“…This correlation coefficient was much lower than the correlation accuracy evaluated in other areas (Hu, Shao, Han, Reichardt, & Tan, 2010;Jia, Shao, Zhang, & Zhao, 2015;Li, Shao, Jia, Wei, & He, 2015) mainly due to the influence of gravel and stones in the alpine-meadow soil.…”

Section: Experimental Design and Data Acquisitionmentioning

confidence: 99%

Mesoscale spatial variability of soil‐water content in an alpine meadow on the northern Tibetan Plateau

Zhu

Shao

Liang

et al. 2019

Hydrological Processes

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Soil water is an important limiting factor for restoring alpine meadows on the northern Tibetan Plateau. Field studies of soil‐water content (SWC), however, are rare due to the harsh environment, especially in a mesoscale alpine‐meadow ecosystem. The objective of this study was to assess the spatial variability of SWC and the temporal variation of the spatial variability in a typical alpine meadow using a geostatistical approach. SWC was measured using a neutron probe to a depth of 50 cm at 113 locations on 22 sampling occasions in a 33.5‐hm2 alpine meadow during the 2015 and 2016 growing seasons. Mean SWC in the study plot for the two growing seasons was 18.7, 14.0, 13.9, 14.3, and 14.8% for depths of 10, 20, 30, 40, and 50 cm, respectively, and SWC was significantly larger at 10 cm than at other depths. SWC was negatively correlated with its spatial variability, and the spatial variability was higher when SWC was lower. Thirty‐three sampling locations in this study plot met the requirement of accuracy of the central limit theorem. A Gaussian model was the best fit for SWC semivariance at depths of 10, 20, and 30 cm, and the spatial structural ratio was between 0.997 and 1, indicating a strong spatial dependence of SWC. The sill and range fluctuated temporally, and the nugget and spatial structural ratio did not generally vary with time. The sill was significantly positively correlated with SWC and was initially stable and then tend to increase with SWC. The nugget, range, and spatial structure ratio, however, were not correlated with SWC. These results contribute to our understanding of SWC spatial distribution and variation in alpine meadows and provide basic empirical SWC data for mesoscale model simulations, optimizing sampling strategies and managing meadows on the Tibetan Plateau.

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“…Soil moisture is a key variable affecting hydrological, ecological, and climatic processes on various spatial and temporal scales [41][42][43][44]. Soil water storage during the growing season is therefore critically important for promoting grain yield.…”

Section: Discussionmentioning

confidence: 99%

Effect of Deep Vertical Rotary Tillage on Soil Properties and Sugarcane Biomass in Rainfed Dry-Land Regions of Southern China

BenHui

et al. 2020

Sustainability

Self Cite

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Conventional tillage (CT) is the main agricultural practice for rainfed sugarcane production in China. However, subsoil compaction formed by long-term CT is harmful to soil properties and crop yield. Deep vertical rotary tillage (DVRT) is a novel tillage practice, which can alleviate subsoil compaction and create a more favorable soil environment for crop growth. This study aims to compare the effects of DVRT and CT practices on soil properties and sugarcane characteristics. The results showed that DVRT reduced soil bulk density and increased soil porosity to some extent in the 0–40 cm soil profile. Soil water storage of DVRT was relatively higher compared with CT due to the combined effects of soil water holding capacity and vegetation water consumption. There was significantly higher final aboveground biomass, underground biomass, and plant height from DVRT compared to CT (p < 0.05), but there were no differences in final root length between tillage practices. Compared with CT, DVRT with one and two growth-years significantly increased aboveground biomass by 68.90% and 50.14%, respectively. Generally, the soil properties and sugarcane characteristics were not significantly different between DVRT with different growth years. DVRT is recommended as a tillage practice for sustainable agriculture in rainfed regions.

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Depth persistence of the spatial pattern of soil–water storage along a small transect in the Loess Plateau of China

Cited by 29 publications

References 58 publications

Soil Moisture Estimation and Its Influencing Factors Based on Temporal Stability on a Semiarid Sloped Forestland

Soil Moisture Estimation and Its Influencing Factors Based on Temporal Stability on a Semiarid Sloped Forestland

Mesoscale spatial variability of soil‐water content in an alpine meadow on the northern Tibetan Plateau

Effect of Deep Vertical Rotary Tillage on Soil Properties and Sugarcane Biomass in Rainfed Dry-Land Regions of Southern China

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