Profile distribution of soil moisture response to precipitation on the Pisha sandstone hillslopes of China

Zhang, Pan; Xiao, Peng; Yao, Wei; Liu, Guobin; Sun, Weiying

doi:10.1038/s41598-020-65829-w

Cited by 23 publications

(20 citation statements)

References 26 publications

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“…We demonstrated that gross precipitation was a significant driver of the increase in soil water content, as precipitation is the primary source of soil moistening, particularly for topsoil layers (Lozano‐Parra et al, 2015; Salve et al, 2011; Zhang et al, 2020). In addition, we found that topography significantly influenced the soil moisture response depending on the size of weekly cumulated precipitation events.…”

Section: Discussionmentioning

confidence: 92%

“…In addition, Metzger et al (2017) found in a mixed forest that spatial patterns of net precipitation were only reflected in soil water patterns of a small subset (one-third) of the observed events. Indeed, next to soil properties, soil moisture patterns were controlled by antecedent soil wetness and preferential flow (Lozano-Parra et al, 2015;Tian et al, 2019;Vereecken et al, 2007Vereecken et al, , 2014Zhang et al, 2020). Especially dry soils can cause water repellence or lead to shrinking, thus enhancing preferential flow (Beven & Germann, 2013;Jarvis, 2007;Nimmo, 2021).…”

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confidence: 99%

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Spatial variation of grassland canopy affects soil wetting patterns and preferential flow

Demir

Michalzik

Filipzik

et al. 2022

Hydrological Processes

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Canopies shape net precipitation patterns, which are spatially heterogeneous and control soil moisture response to rainfall. The vast majority of studies on canopy water fluxes were conducted in forests. In contrast, grassland canopies are often assumed to be spatially homogeneous, therefore likely not inducing patches of heterogeneity at and below the soil surface. However, some studies on short‐structured vegetation, such as grasslands, proposed the importance of canopy‐induced heterogeneity for net precipitation. Still, systematic investigations on the effects on soil wetting patterns are missing. Therefore, in this study, we investigated soil moisture response to rainfall in a managed temperate grassland by exploring the individual impacts of spatially varying throughfall, vegetation height, and antecedent soil moisture status on the soil wetting patterns. We applied linear mixed effects models to disentangle the role of grassland canopy versus abiotic drivers. The spatial average soil water response showed diminishing water amounts stored in the upper parts of the soil as the growing season progressed and the soils dried, indicating bypass flow. Spatial variation of grass height was a significant driver of soil wetting patterns along with precipitation and antecedent soil moisture status. Soil wetting was suppressed in locations with tall canopies, although surprisingly, this was not directly related to throughfall patterns. Instead, our results suggest that seasonally drier conditions and the spatial difference in grass development amplify fast flow processes. Ultimately, our results confirm that spatial variation of the canopy affects soil moisture wetting patterns not only in forests but indicate a strong influence of preferential flow on soil water patterns in managed grassland as well.

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Section: Discussionmentioning

confidence: 92%

mentioning

confidence: 99%

Spatial variation of grassland canopy affects soil wetting patterns and preferential flow

Demir

Michalzik

Filipzik

et al. 2022

Hydrological Processes

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“…Precipitation is an important and direct source of SM (P. Zhang et al., 2020), which affects the distribution of SM to some extent. The spatial distribution of precipitation from southeast to northwest China also maintains a similar decreasing pattern to that of the SM products in 2000–2018 (Figure 8), which may involve soil moisture–precipitation (SM–P) feedback.…”

Section: Resultsmentioning

confidence: 99%

InterComparison and Evaluation of MultiSource Soil Moisture Products in China

Zhang

et al. 2021

Earth and Space Science

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As an important variable of the climate system, soil moisture (SM) plays a key role in the surface runoff, evapotranspiration, energy balance, and carbon cycle. And its heterogeneity and variability in space and time bring in continuous influences on the simulation and prediction of atmospheric circulation, surface processes, and land-atmosphere interactions (Fan et al., 2020;Schwingshackl et al., 2017;S. I. Seneviratne et al., 2010). SM is also a key variable in surface water fluxes and is critical for drought monitoring and assessment (Velpuri et al., 2016).Compared with other climate variables (e.g., precipitation and temperature), the measure of SM is more difficult and complicated. Moreover, due to the sparse distribution of gauge observation, the spatiotemporal coverage and representation are not well obtained. Thus, it prevents us from conducting reliable quantitative analysis and comprehensive studies. With the rapid development of remote sensing technology and the continuous improvement of relevant models, various SM estimation products (such as reanalysis, Land Data Assimilation Systems [LDAS], and satellite retrieval) are more widely used in the existing research because of their good spatiotemporal continuity. But due to the differences in data source, algorithms, coverage, and spatiotemporal resolution, all these products are subject to great uncertainties Chen et al., , 2021. On the other hand, many different products (e.g., ERA-Interim and ERA5) are constantly being iterated and updated. Therefore, effective evaluation of SM products is a prerequisite for more appropriate and targeted use of SM products in different regions and time scales. And it also provides scientific support for the application of SM products in hydrological research and drought monitoring (Chen &

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“…Rainfall is a major constraint on vegetation in arid and semi‐arid areas, and rainfall affects vegetation mainly through infiltration into soil moisture (Li et al, 2013; Yu et al, 2017), and also controls the type, abundance and productivity of grassland positions (Zhang, Xiao, et al, 2020). Prolonged drought or low and intense rainfall events in arid and semi‐arid regions are the main factors affecting grassland systems, and future changes in precipitation patterns will significantly affect grassland productivity and species diversity (Barnett & Facey, 2016; Knapp et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Effects of animal grazing on vegetation biomass and soil moisture on a typical steppe in Inner Mongolia, China

et al. 2021

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Grasslands play a very important role in the water and carbon cycle of arid and semi‐arid areas, where they are the main type of steppe globally. With this said, research into grassland ecological processes mostly consists of single‐factor controlled experiments such as precipitation, temperature or grazing, and few studies have investigated the effects of synergistic interactions between multiple factors on grassland hydrological, soil and vegetation processes. In this study, we set up a prohibited grazing area in a typical area of the Xilingole Steppe in Inner Mongolia, China. Vegetation (species richness (SR), above‐ground biomass (AGB), below‐ground biomass (BGB), etc.), precipitation and the soil moisture of 5 cm, 10 cm, 15 cm and 30 cm depths were observed continuously from 2015 to 2018. The results indicate that the species number in areas where grazing is prohibited is higher than where it is grazed, and the number and species of dominant species changes with grazing prohibition time. The AGB and BGB of prohibited areas is higher than grazed areas, and the variance rate of AGB increased rapidly (20% and 45%) at the first 2 years and then stabilized (52% and 55%), but BGB's variance rate increased slowly from 12% to 20%. The soil moisture content in the study area is higher in the surface layer than in the deeper layers. In the grazing prohibition zone, the above ground biomass (AGB) and belowground biomass (BGB) were both significantly correlated with volumetric water content (VWC) at the 0.01 level. In grazing areas, there was no significant correlation between AGB and soil moisture, and the coefficient of determination between BGB and VWC was 0.6127 (p < 0.01). SR did not have a significant relationship with soil moisture but indirectly response to it through BGB, especially in prohibited site. These results are important for understanding water cycle processes, grazing management and address food security issues across steppe in arid and semi‐arid regions.

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Profile distribution of soil moisture response to precipitation on the Pisha sandstone hillslopes of China

Cited by 23 publications

References 26 publications

Spatial variation of grassland canopy affects soil wetting patterns and preferential flow

Spatial variation of grassland canopy affects soil wetting patterns and preferential flow

InterComparison and Evaluation of MultiSource Soil Moisture Products in China

Effects of animal grazing on vegetation biomass and soil moisture on a typical steppe in Inner Mongolia, China

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