Effects of Different Vegetation Restoration Modes on Soil Microbial Quantity and Biomass in a Degraded Karst Ecosystem in South China

2021 ◽  
Vol 54 (12) ◽  
pp. 2009-2021
Author(s):  
Yang Cao ◽  
Kang-ning Xiong ◽  
Xiao-xi Lv ◽  
Hong-zhi Zhang
2011 ◽  
Vol 347-353 ◽  
pp. 237-240
Author(s):  
Zhen Ru Wu ◽  
Guo Mei Jia ◽  
Li Na Cao ◽  
Fang Qing Chen

Soil microbial properties have been proved to be powerful indicators of soil quality. This study analyzed the changes in soil moisture content, soil bulk density and porosity, soil organic carbon, total nitrogen, and microbial biomass of Substrate in vegetation restoration of Rock Slope. The results showed that soil moisture, soil porosity, organic carbon (OC), total nitrogen (TN) and microbial biomass carbon (MBC), microbial biomass nitrogen (MBN) and C/N increased significantly, and soil bulk density decreased gradually compared with bare rock Slope. Therefore, the results suggested that the vegetation restoration of Rock Slope could improve soil quality.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ruifen Zhu ◽  
Jielin Liu ◽  
Jianli Wang ◽  
Weibo Han ◽  
Zhongbao Shen ◽  
...  

Abstract Microorganisms have important ecological functions in ecosystems. Reseeding is considered as one of the main strategies for preventing grassland degradation in China. However, the response of soil microbial community and diversity to reseeding grassland (RG) and natural grassland (NG) remains unclear, especially in the Songnen Meadow. In this study, the soil microbial community compositions of two vegetation restoration types (RG vs NG) were analyzed using a high-throughput sequencing technique. A total of 23,142 microbial OTUs were detected, phylogenetically derived from 11 known bacterial phyla. Soil advantage categories included Proteobacteria, Acidobacteria, Actinobacteria, and Bacteroidetes, which together accounted for > 78% of the all phyla in vegetation restoration. The soil microbial diversity was higher in RG than in NG. Two types of vegetation restoration had significantly different characteristics of soil microbial community (P < 0.001). Based on a molecular ecological network analysis, we found that the network in RG had a longer average path distance and modularity than in NG network, making it more resilient to environment changes. Meanwhile, the results of the canonical correspondence analysis and molecular ecological network analysis showed that soil pH (6.34 ± 0.35 in RG and 7.26 ± 0.28 in NG) was the main factor affecting soil microbial community structure, followed by soil moisture (SM) in the Songnen meadow, China. Besides, soil microbial community characteristics can vary significantly in different vegetation restoration. Thus, we suggested that it was necessary and reasonable for this area to popularize reseeding grassland in the future.


Geoderma ◽  
2019 ◽  
Vol 353 ◽  
pp. 188-200 ◽  
Author(s):  
Lei Deng ◽  
Changhui Peng ◽  
Chunbo Huang ◽  
Kaibo Wang ◽  
Qiuyu Liu ◽  
...  

CATENA ◽  
2020 ◽  
Vol 195 ◽  
pp. 104849
Author(s):  
Peilei Hu ◽  
Jun Xiao ◽  
Wei Zhang ◽  
Lumei Xiao ◽  
Rong Yang ◽  
...  

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