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Alpine bird distributions along elevation gradients: the consistency of climate and habitat effects across geographic regions

Overview of attention for article published in Oecologia, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
Alpine bird distributions along elevation gradients: the consistency of climate and habitat effects across geographic regions
Published in
Oecologia, April 2016
DOI 10.1007/s00442-016-3637-y
Pubmed ID
Authors

Dan Chamberlain, Mattia Brambilla, Enrico Caprio, Paolo Pedrini, Antonio Rolando

Abstract

Many species have shown recent shifts in their distributions in response to climate change. Patterns in species occurrence or abundance along altitudinal gradients often serve as the basis for detecting such changes and assessing future sensitivity. Quantifying the distribution of species along altitudinal gradients acts as a fundamental basis for future studies on environmental change impacts, but in order for models of altitudinal distribution to have wide applicability, it is necessary to know the extent to which altitudinal trends in occurrence are consistent across geographically separated areas. This was assessed by fitting models of bird species occurrence across altitudinal gradients in relation to habitat and climate variables in two geographically separated alpine regions, Piedmont and Trentino. The ten species studied showed non-random altitudinal distributions which in most cases were consistent across regions in terms of pattern. Trends in relation to altitude and differences between regions could be explained mostly by habitat or a combination of habitat and climate variables. Variation partitioning showed that most variation explained by the models was attributable to habitat, or habitat and climate together, rather than climate alone or geographic region. The shape and position of the altitudinal distribution curve is important as it can be related to vulnerability where the available space is limited, i.e. where mountains are not of sufficient altitude for expansion. This study therefore suggests that incorporating habitat and climate variables should be sufficient to construct models with high transferability for many alpine species.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Netherlands 1 1%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 19%
Student > Master 18 19%
Researcher 15 16%
Other 8 8%
Student > Bachelor 6 6%
Other 12 13%
Unknown 18 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 43%
Environmental Science 27 28%
Social Sciences 2 2%
Biochemistry, Genetics and Molecular Biology 1 1%
Unspecified 1 1%
Other 2 2%
Unknown 21 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 26 August 2016.
All research outputs
#4,032,816
of 22,867,327 outputs
Outputs from Oecologia
#815
of 4,222 outputs
Outputs of similar age
#63,006
of 298,447 outputs
Outputs of similar age from Oecologia
#14
of 56 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,222 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 done well, scoring higher than 80% 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 298,447 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 78% of its contemporaries.
We're also able to compare this research output to 56 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 73% of its contemporaries.