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Frequency-dependent feedback constrains plant community coexistence

Overview of attention for article published in Nature Ecology & Evolution, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

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Title
Frequency-dependent feedback constrains plant community coexistence
Published in
Nature Ecology & Evolution, July 2018
DOI 10.1038/s41559-018-0622-3
Pubmed ID
Authors

Maarten B. Eppinga, Mara Baudena, Daniel J. Johnson, Jiang Jiang, Keenan M. L. Mack, Allan E. Strand, James D. Bever

Abstract

Ecological theory suggests that coexistence of many species within communities requires negative frequency-dependent feedbacks to prevent exclusion of the least fit species. For plant communities, empirical evidence of negative frequency dependence driving species coexistence and diversity patterns is rapidly accumulating, but connecting these findings to theory has been difficult as corresponding theoretical frameworks only consider small numbers of species. Here, we show how frequency-dependent feedback constrains community coexistence, regardless of the number of species and inherent fitness inequalities between them. Any interaction network can be characterized by a single community interaction coefficient, IC, which determines whether community-level feedback is positive or negative. Negative feedback is a necessary (but not sufficient) condition for persistence of the entire community. Even in cases where the coexistence equilibrium state cannot recover from perturbations, IC < 0 can enable species persistence via cyclic succession. The number of coexisting species is predicted to increase with the average strength of negative feedback. This prediction is supported by patterns of tree species diversity in more than 200,000 deciduous forest plots in the eastern United States, which can be reproduced in simulations that span the observed range of community feedback. By providing a quantitative metric for the strength of negative feedback needed for coexistence, we can now integrate theory and empirical data to test whether observed feedback-diversity correlations are strong enough to infer causality.

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X Demographics

The data shown below were collected from the profiles of 14 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 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 164 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 21%
Researcher 34 21%
Student > Master 27 16%
Student > Bachelor 9 5%
Student > Doctoral Student 9 5%
Other 18 11%
Unknown 32 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 38%
Environmental Science 33 20%
Earth and Planetary Sciences 7 4%
Biochemistry, Genetics and Molecular Biology 4 2%
Immunology and Microbiology 2 1%
Other 8 5%
Unknown 48 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 05 December 2018.
All research outputs
#2,488,862
of 25,563,770 outputs
Outputs from Nature Ecology & Evolution
#1,726
of 2,173 outputs
Outputs of similar age
#48,568
of 341,391 outputs
Outputs of similar age from Nature Ecology & Evolution
#76
of 88 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,173 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 148.6. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 341,391 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 85% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.