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Spatially structured environmental filtering of collembolan traits in late successional salt marsh vegetation

Overview of attention for article published in Oecologia, May 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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126 Mendeley
Title
Spatially structured environmental filtering of collembolan traits in late successional salt marsh vegetation
Published in
Oecologia, May 2015
DOI 10.1007/s00442-015-3345-z
Pubmed ID
Authors

Lina A. Widenfalk, Jan Bengtsson, Åsa Berggren, Krista Zwiggelaar, Evelien Spijkman, Florrie Huyer-Brugman, Matty P. Berg

Abstract

Both the environment and the spatial configuration of habitat patches are important factors that shape community composition and affect species diversity patterns. Species have traits that allow them to respond to their environment. Our current knowledge on environment to species traits relationships is limited in spite of its potential importance for understanding community assembly and ecosystem function. The aim of our study was to examine the relative roles of environmental and spatial variables for the small-scale variation in Collembola (springtail) communities in a Dutch salt marsh. We used a trait-based approach in combination with spatial statistics and variance partitioning, between environmental and spatial variables, to examine the important ecological factors that drive community composition. Turnover of trait diversity across space was lower than for species diversity. Most of the variation in community composition was explained by small-scale spatial variation in topography, on a scale of 4-6 m, most likely because it determines the effect of inundation, which restricts where habitat generalists can persist. There were only small pure spatial effects on species and trait diversity, indicating that biotic interactions or dispersal limitation probably were less important for structuring the community at this scale. Our results suggest that for springtails, life form (i.e. whether they live in the soil or litter or on the surface/in vegetation) is an important and useful trait to understand community assembly. Hence, using traits in addition to species identity when analysing environment-organism relationships results in a better understanding of the factors affecting community composition.

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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Australia 1 <1%
Brazil 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Argentina 1 <1%
Russia 1 <1%
Unknown 118 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 31%
Researcher 21 17%
Student > Master 16 13%
Student > Bachelor 11 9%
Student > Doctoral Student 9 7%
Other 11 9%
Unknown 19 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 68 54%
Environmental Science 22 17%
Earth and Planetary Sciences 2 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Veterinary Science and Veterinary Medicine 1 <1%
Other 2 2%
Unknown 29 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 May 2016.
All research outputs
#6,284,363
of 22,807,037 outputs
Outputs from Oecologia
#1,384
of 4,215 outputs
Outputs of similar age
#74,759
of 267,813 outputs
Outputs of similar age from Oecologia
#21
of 60 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,215 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 66% 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 267,813 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 71% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.