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Predicting the sensitivity of butterfly phenology to temperature over the past century

Overview of attention for article published in Global Change Biology, November 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
12 news outlets
blogs
2 blogs
twitter
4 X users
facebook
2 Facebook pages

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
145 Mendeley
citeulike
1 CiteULike
Title
Predicting the sensitivity of butterfly phenology to temperature over the past century
Published in
Global Change Biology, November 2013
DOI 10.1111/gcb.12429
Pubmed ID
Authors

Heather M. Kharouba, Sebastien R. Paquette, Jeremy T. Kerr, Mark Vellend

Abstract

Studies to date have documented substantial variation among species in the degree to which phenology responds to temperature and shifts over time, but we have a limited understanding of the causes of such variation. Here, we use a spatially and temporally extensive data set (ca. 48 000 observations from across Canada) to evaluate the utility of museum collection records in detecting broad-scale phenology-temperature relationships and to test for systematic differences in the sensitivity of phenology to temperature (days °C(-1) ) of Canadian butterfly species according to relevant ecological traits. We showed that the timing of flight season predictably responded to temperature both across space (variation in average temperature from site to site in Canada) and across time (variation from year to year within each individual site). This reveals that collection records, a vastly underexploited resource, can be applied to the quantification of broad-scale relationships between species' phenology and temperature. The timing of the flight season of earlier fliers and less mobile species was more sensitive to temperature than later fliers and more mobile species, demonstrating that ecological traits can account for some of the interspecific variation in species' phenological sensitivity to temperature. Finally, we found that phenological sensitivity to temperature differed across time and space implying that both dimensions of temperature will be needed to translate species' phenological sensitivity to temperature into accurate predictions of species' future phenological shifts. Given the widespread temperature sensitivity of flight season timing, we can expect long-term temporal shifts with increased warming [ca. 2.4 days °C(-1) (0.18 SE)] for many if not most butterfly species.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Canada 2 1%
Spain 2 1%
Sweden 1 <1%
Germany 1 <1%
France 1 <1%
Unknown 135 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 22%
Student > Ph. D. Student 28 19%
Student > Master 23 16%
Student > Bachelor 16 11%
Other 9 6%
Other 24 17%
Unknown 13 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 75 52%
Environmental Science 30 21%
Earth and Planetary Sciences 7 5%
Biochemistry, Genetics and Molecular Biology 3 2%
Unspecified 3 2%
Other 7 5%
Unknown 20 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 102. 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 10 January 2014.
All research outputs
#393,765
of 24,558,777 outputs
Outputs from Global Change Biology
#434
of 6,096 outputs
Outputs of similar age
#3,649
of 313,266 outputs
Outputs of similar age from Global Change Biology
#7
of 78 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,096 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.9. This one has done particularly well, scoring higher than 92% 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 313,266 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.