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Land use modification causes slow, but predictable, change in soil microbial community composition and functional potential

Overview of attention for article published in Environmental Microbiome, April 2023
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  • Good Attention Score compared to outputs of the same age (65th percentile)

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Title
Land use modification causes slow, but predictable, change in soil microbial community composition and functional potential
Published in
Environmental Microbiome, April 2023
DOI 10.1186/s40793-023-00485-x
Pubmed ID
Authors

Z. Louisson, S. M. Hermans, H. L. Buckley, B. S. Case, M. Taylor, F. Curran-Cournane, G. Lear

Abstract

Bacterial communities are critical to ecosystem functioning and sensitive to their surrounding physiochemical environment. However, the impact of land use change on microbial communities remains understudied. We used 16S rRNA gene amplicon sequencing and shotgun metagenomics to assess soil microbial communities' taxonomic and functional responses to land use change. We compared data from long-term grassland, exotic forest and horticulture reference sites to data from sites that transitioned from (i) Grassland to exotic forest or horticulture and from (ii) Exotic forest to grassland. Community taxonomic and functional profiles of the transitional sites significantly differed from those within reference sites representing both their historic and current land uses (P < 0.001). The bacterial communities in sites that transitioned more recently were compositionally more similar to those representing their historic land uses. In contrast, the composition of communities from sites exposed to older conversion events had shifted towards the compositions at reference sites representing their current land use. Our study indicates that microbial communities respond in a somewhat predictable way after a land use conversion event by shifting from communities reflecting their former land use towards those reflecting their current land use. Our findings help us to better understand the legacy effects of land use change on soil microbial communities and implications for their role in soil health and ecosystem functioning. Understanding the responsiveness of microbial communities to environmental disturbances will aid us in incorporating biotic variables into soil health monitoring techniques in the future.

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Researcher 4 15%
Student > Master 2 7%
Student > Doctoral Student 1 4%
Professor > Associate Professor 1 4%
Other 0 0%
Unknown 14 52%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 22%
Immunology and Microbiology 2 7%
Biochemistry, Genetics and Molecular Biology 2 7%
Environmental Science 1 4%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 14 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2023.
All research outputs
#7,807,257
of 24,223,370 outputs
Outputs from Environmental Microbiome
#122
of 559 outputs
Outputs of similar age
#136,037
of 403,780 outputs
Outputs of similar age from Environmental Microbiome
#1
of 1 outputs
Altmetric has tracked 24,223,370 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 559 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 403,780 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them