2020
DOI: 10.1016/j.scitotenv.2020.136526
|View full text |Cite
|
Sign up to set email alerts
|

Land-use changes alter soil bacterial composition and diversity in tropical forest soil in China

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

4
20
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 57 publications
(27 citation statements)
references
References 65 publications
4
20
1
Order By: Relevance
“…Anthropogenic disturbance, such as the conversion of land cover, has a significant effect on bacterial communities by changing their edaphic properties [26,27]. Our results demonstrated a different bacterial community composition in pavement soil compared to no pavement soil, which is consistent with previous reports [13,24].…”
Section: Discussionsupporting
confidence: 91%
“…Anthropogenic disturbance, such as the conversion of land cover, has a significant effect on bacterial communities by changing their edaphic properties [26,27]. Our results demonstrated a different bacterial community composition in pavement soil compared to no pavement soil, which is consistent with previous reports [13,24].…”
Section: Discussionsupporting
confidence: 91%
“…Among these phyla, Proteobacteria was the most dominant phylum as in our study. This kind of result was also found by Sun et al [21] in a tropical forest soil in China, where they found that Proteobacteria, Planctomycetes, Nitrospirae, Verrucomicrobia, Bacteroidetes, Chloroflexi, Acidobacteria and Actinobacteria constituted the major phyla. This assertion was assumed by several authors in their works, Wang et al [8] on the soil covered by halophytic vegetation in China, Zang et al [22] in soil of mixed bamboo and broad-leaved forest in China, Wang et al [23] in a Mineral Sandy loam Soil with a lower pH in the Desert of Maine (USA), Goma-Tchimbakala and Lebonguy [14] in Sandy-Loam Soil Polluted by hydrocarbons in Congo.…”
Section: Discussionsupporting
confidence: 82%
“…With the rapid growth in the number of sequenced genomes, the PICRUSt tool has been increasingly used to infer functions that are likely associated with a marker gene based on its sequence similarity with a reference genome [ 61 , 62 , 63 , 64 ]. In agroecosystem studies, this approach has been used to explore the relationship between soil microbial communities and farming practices by characterizing metabolic and functional capabilities of the communities across a broad range of host-associated and environmental samples [ 65 , 66 , 67 ].…”
Section: Discussionmentioning
confidence: 99%