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Soil C and N models that integrate microbial diversity

Overview of attention for article published in Environmental Chemistry Letters, July 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#43 of 436)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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1 blog
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6 X users
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3 Facebook pages

Citations

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56 Dimensions

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109 Mendeley
Title
Soil C and N models that integrate microbial diversity
Published in
Environmental Chemistry Letters, July 2016
DOI 10.1007/s10311-016-0571-5
Pubmed ID
Authors

Benjamin P. Louis, Pierre-Alain Maron, Valérie Viaud, Philippe Leterme, Safya Menasseri-Aubry

Abstract

Industrial agriculture is yearly responsible for the loss of 55-100 Pg of historical soil carbon and 9.9 Tg of reactive nitrogen worldwide. Therefore, management practices should be adapted to preserve ecological processes and reduce inputs and environmental impacts. In particular, the management of soil organic matter (SOM) is a key factor influencing C and N cycles. Soil microorganisms play a central role in SOM dynamics. For instance, microbial diversity may explain up to 77 % of carbon mineralisation activities. However, soil microbial diversity is actually rarely taken into account in models of C and N dynamics. Here, we review the influence of microbial diversity on C and N dynamics, and the integration of microbial diversity in soil C and N models. We found that a gain of microbial richness and evenness enhances soil C and N dynamics on the average, though the improvement of C and N dynamics depends on the composition of microbial community. We reviewed 50 models integrating soil microbial diversity. More than 90 % of models integrate microbial diversity with discrete compartments representing conceptual functional groups (64 %) or identified taxonomic groups interacting in a food web (28 %). Half of the models have not been tested against an empirical dataset while the other half mainly consider fixed parameters. This is due to the difficulty to link taxonomic and functional diversity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 <1%
Unknown 108 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 24%
Researcher 15 14%
Student > Master 13 12%
Student > Doctoral Student 11 10%
Student > Bachelor 11 10%
Other 13 12%
Unknown 20 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 30%
Environmental Science 21 19%
Engineering 9 8%
Earth and Planetary Sciences 7 6%
Biochemistry, Genetics and Molecular Biology 6 6%
Other 6 6%
Unknown 27 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 September 2017.
All research outputs
#2,362,933
of 22,881,154 outputs
Outputs from Environmental Chemistry Letters
#43
of 436 outputs
Outputs of similar age
#45,910
of 364,407 outputs
Outputs of similar age from Environmental Chemistry Letters
#2
of 16 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 436 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has done particularly well, scoring higher than 90% 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 364,407 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.