Next Article in Journal
Experimental Investigations and CFD Modeling of Contaminant Intrusion in a Water Network during Transient Events
Previous Article in Journal
Effects of Different Irrigation Treatments on Aquaculture Purification and Soil Desalination of Paddy Fields
Previous Article in Special Issue
Numerical Modelling as a Support Tool for River Habitat Studies: An Italian Case Study
Article Menu

Export Article

Open AccessArticle

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

1
School of Geography and Environmental Science, Guizhou Normal University, Guiyang 550001, China
2
Pearl River Hydraulic Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510611, China
*
Author to whom correspondence should be addressed.
Water 2019, 11(7), 1423; https://doi.org/10.3390/w11071423
Received: 26 April 2019 / Revised: 30 June 2019 / Accepted: 8 July 2019 / Published: 11 July 2019
  |  
PDF [3827 KB, uploaded 11 July 2019]
  |  

Abstract

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. View Full-Text
Keywords: soil moisture content; vegetation type; temporal variation; Spearman correlation analysis; karst; southwest China soil moisture content; vegetation type; temporal variation; Spearman correlation analysis; karst; southwest China
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhou, Q.; Sun, Z.; Liu, X.; Wei, X.; Peng, Z.; Yue, C.; Luo, Y. Temporal Soil Moisture Variations in Different Vegetation Cover Types in Karst Areas of Southwest China: A Plot Scale Case Study. Water 2019, 11, 1423.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top