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Historical change in fish species distribution: shifting reference conditions and global warming effects

Overview of attention for article published in Aquatic Sciences, January 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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5 X users
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1 Facebook page

Citations

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23 Dimensions

Readers on

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93 Mendeley
Title
Historical change in fish species distribution: shifting reference conditions and global warming effects
Published in
Aquatic Sciences, January 2015
DOI 10.1007/s00027-014-0386-z
Pubmed ID
Authors

Didier Pont, M. Logez, G. Carrel, C. Rogers, G. Haidvogl

Abstract

Species distributions models (SDM) that rely on estimated relationships between present environmental conditions and species presence-absence are widely used to forecast changes of species distributions caused by global warming but far less to reconstruct historical assemblages. By compiling historical fish data from the turn to the middle of the twentieth century in a similar way for several European catchments (Rhône, Danube), and using already published SDMs based on current observations, we: (1) tested the predictive accuracy of such models for past climatic conditions, (2) compared observed and expected cumulated historical species occurrences at sub-catchment level, and (3) compared the annual variability in the predictions within one sub-catchment (Salzach) under a future climate scenario to the long-term variability of occurrences reconstructed during an extended historical period (1800-2000). We finally discuss the potential of these SDMs to define a "reference condition", the possibility of a shift in baseline condition in relation with anthropogenic pressures, and past and future climate variability. The results of this study clearly highlight the potential of SDM to reconstruct the past composition of European fish assemblages and to analyze the historical ecological status of European rivers. Assessing the uncertainty associated with species distribution projections is of primary importance before evaluating and comparing the past and future distribution of species within a given catchment.

X Demographics

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

Geographical breakdown

Country Count As %
Austria 2 2%
Brazil 1 1%
South Africa 1 1%
Spain 1 1%
United States 1 1%
Unknown 87 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 26%
Student > Ph. D. Student 16 17%
Other 9 10%
Student > Master 7 8%
Student > Bachelor 5 5%
Other 12 13%
Unknown 20 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 37%
Environmental Science 25 27%
Social Sciences 2 2%
Earth and Planetary Sciences 2 2%
Unspecified 1 1%
Other 3 3%
Unknown 26 28%
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 August 2015.
All research outputs
#6,725,888
of 22,776,824 outputs
Outputs from Aquatic Sciences
#122
of 622 outputs
Outputs of similar age
#92,063
of 352,982 outputs
Outputs of similar age from Aquatic Sciences
#2
of 10 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 622 research outputs from this source. They receive a mean Attention Score of 3.7. 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 352,982 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 73% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.