scholarly journals Effects of Vegetation Restoration on Regional Soil Moisture Content in the Humid Karst Areas—A Case Study of Southwest China

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 321
Author(s):  
Xiaocha Wei ◽  
Qiuwen Zhou ◽  
Mingyong Cai ◽  
Yujuan Wang
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Moisture Content ◽  
Southwest China ◽  
Vegetation Restoration ◽  
Data Set ◽  
Karst Areas ◽  
Increasing Trend ◽  
Drying Trend

Soil moisture is one of the restricting factors in the humid karst areas, which feature strong spatial heterogeneity. However, current research about the effects of vegetation restoration on soil moisture content have mainly focused on plot scale and slope scale, while these effects still remain unclear at regional scale in this area. Taking Southwest China as a case study and based on the land parameter data record (LPDR) and enhanced vegetation index (EVI) data set during 2002–2018, this study analyzed the spatiotemporal variation characteristics of vegetation and soil moisture content, and evaluated the effects of vegetation restoration on regional soil moisture content dynamics in paired years with similar precipitation conditions. The results showed that the EVI generally increased at a rate of 0.035/10a during 2002–2018, while the soil moisture was dominated by a drying trend at a variation rate of −0.0006 (cm3/cm3)/10a. The increasing trend of EVI accounted for 90.90% across the study area, whereas the decreasing trend of soil moisture accounted for 51.66%, and the increasing trend of soil moisture accounted for 48.34%. In addition, the decreasing trend of soil moisture coupled with an increasing trend of EVI distributed in most of the study area, especially in the homogenous limestone area. Our results demonstrate that there were remarkable vegetation restoration efforts in a series of ecological restoration projects, which resulted in a drying trend of the regional soil moisture content in the humid karst areas. The results suggest that it is necessary to consider reasonable vegetation planting density and suitable revegetation types to balance the relationship between vegetation water consumption and soil moisture supplementation in vegetation restoration practice in the humid karst areas.

scholarly journals The Influences of Organic Mulches on Soil Moisture Content and Temperatures : A Case Study of Tapioca Wastes Application

2008 ◽  
Vol 14 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Komariah ◽  
Kengo Ito ◽  
Masateru Senge ◽  
John Tawiah Adomako ◽  
Afandi
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Moisture Content

Sensitivity of microwave measurements to vegetation biomass and soil moisture content: a case study

1992 ◽  
Vol 30 (4) ◽  
pp. 750-756 ◽  
Author(s):  
P. Ferrazzoli ◽  
S. Paloscia ◽  
P. Pampaloni ◽  
G. Schiavon ◽  
D. Solimini ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Moisture Content ◽  
Microwave Measurements ◽  
Vegetation Biomass

Susceptibility Assessment of Small, Shallow and Clustered Landslide in Malipo, southwest China

2021 ◽  
Author(s):  
Xuemei Liu ◽  
Yong Li ◽  
Pengcheng Su ◽  
Taiqiang Yang ◽  
Jun Zhang
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Landslide Susceptibility ◽  
Soil Moisture Content ◽  
Southwest China ◽  
Grid Cell ◽  
Information Value ◽  
Susceptibility Assessment ◽  
Mapping Unit ◽  
Slope Unit

<p><strong>Abstract: </strong>Susceptibility assessment of landslides over a large area depends on the basic spatial unit of mapping, each unit is assumed to have unique assessment value, so the division of mapping unit is directly related to the evaluation rate, grid cell or slope unit are usually be used in many researches. Grid cell divide the study region into regular squares of predefined size, each cell is assigned a value of influence factor. Slope unit based on hydrology divides the region by ridge and valley lines, which is more related to geological environment and it is hard to identify the subbasin boundary. Both units are used in this study for the assessment of small shallow and clustered landslides in vegetated slopes in Malipo, southwest China. Google earth map on February 7, 2019 was used to interpret the landslides. ArcGIS 10.2 software was used to produce landslide inventory map and obtained 1435 landslides in the study area; most frequent landslide areas are in the range of 62m<sup>2</sup> to 900m<sup>2</sup>. Field survey was carried out to verify uncertain factors and measure moisture soil content. Soil moisture content (SMC) map was obtained by Kriging Interpolation methods based on the field measured soil moisture content of 48 sample points. Information value (IV) model was used to generate landslide susceptibility assessment map and improved information value (IIV) model was used to determine whether the mapping unit with or without landslide. Seven factors, including slope angle, slope aspect, elevation, normalized difference vegetation Index (NDVI), Soil Moisture Content (SMC), distance to river and road were used as landslide influence factors. The Area under curve (AUC) values of the slope unit IIV, IV and grid cell were 0.814, 0.802 and 0.702 respectively for success rate. For prediction rate, the AUC values of the slope unit and grid cell were 0.803(IIV), 0.790(IV) and 0.699 respectively. Slope unit is more suitable than grid cell for assessing susceptibility of Small, Shallow and Cluster Landslide (Fig.1). Improved information value model can increase the accuracy of susceptibility assessment model for this characteristic landslide.</p><p><strong>Keywords: </strong>Landslide susceptibility assessment; Slope unit; Grid cell; Information value</p><p>                                                <strong> (a)</strong>  <img src="https://contentmanager.copernicus.org/fileStorageProxy.php?f=gepj.612a5aa6550062062690161/sdaolpUECMynit/12UGE&app=m&a=0&c=e934e3e9858f863f856c55ba7f923603&ct=x&pn=gepj.elif&d=1" alt="" width="289" height="206">  <strong> (b)</strong>   <img src="https://contentmanager.copernicus.org/fileStorageProxy.php?f=gepj.c0a33eb6550062262690161/sdaolpUECMynit/12UGE&app=m&a=0&c=f9c48114412d0742a895968d55be3fbd&ct=x&pn=gepj.elif&d=1" alt="" width="293" height="212">                           <strong>                                                      </strong></p><p><strong>                                                              Figure 1</strong> Landslide susceptibility maps (a)Slope unit-based and (b)Grid cell-based</p>

scholarly journals Spatial variability and patterns of surface soil moisture in a field plot of karst area in southwest China

2011 ◽  
Vol 57 (No. 9) ◽  
pp. 409-417 ◽  
Author(s):  
J.G. Zhang ◽  
H.S. Chen ◽  
Y.R. Su ◽  
X.L. Kong ◽  
W. Zhang ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Rainy Season ◽  
Soil Moisture Content ◽  
Southwest China ◽  
Surface Soil ◽  
Surface Soil Moisture ◽  
Field Plot ◽  
Rock Outcrops ◽  
Karst Depression

A field plot (100 m × 50 m) was chosen in a karst depression area of Huanjiang County, Guangxi Province of southwest China, with the aim of characterizing the variability and patterns of upper 15 cm soil moisture. Soil moisture content was measured at 5 m intervals by gravimetric method during dry and rainy seasons in 2005. Results indicated that the surface soil moisture presented a strong spatial dependence at the sampling times in the field scale. The variability of soil moisture by CV values and sill decreased with the increasing mean field soil moisture content either in dry or rainy season. In the dry season, mean soil moisture had a little influence on the sill owing to the previous tillage. But, in the rainy season, a heavy rain event could decrease the variability of soil moisture. The anisotropy characteristics were found that the variance was lower in 0° direction than that in 90° direction based on the northeast axis, and the range had opposite trend except for the sampling on March 15, 2005. The mosaic patterns of soil moisture exhibited the variability and its anisotropy visually. The rainfall (mean soil moisture), topography and micro-relief (rock outcrops) had important influence on the variability of soil moisture. To better understand the variability of soil moisture in the karst depression area, more soil samples should be required in the dry season and in a field with more rock outcrops.

scholarly journals Expansive Soils: The Effect Of Changing Soil Moisture Content On Residential and Light Commercial Structures

1991 ◽  
Vol 8 (2) ◽  
Author(s):  
James E. Byrn
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Moisture Content ◽  
Expansive Soils ◽  
Soil Movement ◽  
Common Causes ◽  
Areas Of Interest ◽  
Repair Techniques

The problems discussed in this paper are those that result from soil movement beneath residential and light commercial structures built upon expansive soils. The following areas of interest are discussed: 1. Business implication for forensic engineers, 2. Characteristics of expansive soils, 3. Common causes of changes in soil moisture content, 4. The effect that changing soil moisture content has on foundations and structures, 5. Common post-construction repair techniques. A case study of an investigation of a home damaged by expanding soils is also presented

scholarly journals Estimation of soil moisture content from L- and P-band AirSAR data: A case study in Jeju, Korea

2002 ◽  
Vol 6 (4) ◽  
pp. 331-339 ◽  
Author(s):  
E. Y. Kwon ◽  
S. E. Park ◽  
W. M. Moon ◽  
K. K. Lee
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Moisture Content

scholarly journals Temporal Soil Moisture Variations in Different Vegetation Cover Types in Karst Areas of Southwest China: A Plot Scale Case Study

Water ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1423 ◽  
Author(s):  
Qiuwen Zhou ◽  
Zhiyan Sun ◽  
Xiaolin Liu ◽  
Xiaocha Wei ◽  
Zheng Peng ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Rainy Season ◽  
Soil Moisture Content ◽  
Southwest China ◽  
Dry Season ◽  
Rainfall Amount ◽  
Vegetation Types ◽  
Strong Negative Correlation ◽  
Forest Lands

For different vegetation types, soil moisture content shows varying characteristics in different seasons and under different precipitation conditions. However, these characteristics have not been extensively analyzed in karst regions of southwest China. In this study, the soil moisture content of four plots of bare land, grassland, shrubland, and forestland was monitored, and the soil moisture content and corresponding meteorological data for each plot were analyzed. The results indicate that the average soil moisture content in grassland was the highest with weak temporal variation and that in bare, shrub, and forest lands soil moisture content was low with moderate temporal variation. The average soil moisture content in bare, grass, and forest lands was higher in the rainy season than in the dry season, whereas in shrubland, the soil moisture content was higher in the dry season than in the rainy season. Increase in soil moisture content during each precipitation event correlated with the rainfall amount. With increasing rainfall amount, soil moisture content in forest and shrub lands increased more than in bare and grass lands. The peak soil moisture time in each vegetation type plot varied and the peak soil moisture time was related to soil moisture content before a rainfall event. Temperature showed a strong negative correlation with soil moisture content for all vegetation cover types in both the dry and rainy season. Wind speed also showed a strong negative correlation with soil moisture content for all vegetation types during the dry season. Relative humidity had a strong positive correlation with soil moisture content in bare, shrub, and forest lands during the dry season as well as in the four vegetation types during the rainy season. These results demonstrate the variations in soil water characteristics across different vegetation types in karst regions of southwest China.

scholarly journals Slope Stability from a Hydrological Perspective: Taking Typical Soil Slope as an Example

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Yuelu Zhu ◽  
Yaoting Xiao
Keyword(s):  
Shear Strength ◽  
Soil Moisture ◽  
Moisture Content ◽  
Slope Stability ◽  
Soil Moisture Content ◽  
Stable State ◽  
Temporal Distribution ◽  
Stability Factor ◽  
Infiltration Capacity ◽  
Increasing Trend

In the traditional research of slope stability, it is difficult to continuously obtain the moisture content of soil in long time sequences. In combination with the precipitation, temperature, and vegetation cover data in the study area, the variable infiltration capacity hydrological model is used to estimate the daily variation of soil moisture content, which is used as a calculation condition for the analysis of slope stability. The results show that, from 1970 to 2010, the spatial-temporal distribution of soil moisture content in the Weihe River Basin showed an increasing trend. Moreover, the shear strength of soil decreased, but the range was stable at approximately 2%. The strength reduction method based on the M-C inscribed circle criterion (DP3) shows that the slope stability factor k had an increasing trend for over 40 y. The portion of the period with a k value higher than 1.2 is more than 85% of the entire period, that with a k value between 1 and 1.2 is approximately 9%, and that with a k value less than 1 is approximately 5.5%. The R/S analysis results show that the Hurst coefficients of the τ-t curve and the k-t curve are 0.5568 and 0.5888, respectively, and that the slope is in a state of no variation. Based on these factors, the present and future of the slope is in a stable state. This scheme is a method of studying slope stability based on hydrology, and it provides a modern alternative for soil shear strength calculation and geological hazard assessment.

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