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Temporal patterns in adult salmon migration timing across southeast Alaska

Overview of attention for article published in Global Change Biology, February 2015
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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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 news outlet
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1 X user

Citations

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66 Dimensions

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141 Mendeley
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Title
Temporal patterns in adult salmon migration timing across southeast Alaska
Published in
Global Change Biology, February 2015
DOI 10.1111/gcb.12829
Pubmed ID
Authors

Ryan P. Kovach, Stephen C. Ellison, Sanjay Pyare, David A. Tallmon

Abstract

Pacific salmon migration timing can drive population productivity, ecosystem dynamics, and human harvest. Nevertheless, little is known about long-term variation in salmon migration timing for multiple species across broad regions. We used long-term data for five Pacific salmon species throughout rapidly warming Southeast Alaska to describe long-term changes in salmon migration timing, inter-annual phenological synchrony, relationships between climatic variation and migratory timing, and to test whether long-term changes in migration timing are related to glaciation in headwater streams. Temporal changes in the median date of salmon migration timing varied widely across species. Most sockeye populations are migrating later over time (11 of 14), but pink, chum, and especially coho populations are migrating earlier than they did historically (16 of 19 combined). Similarly, temporal trends in duration and inter-annual variation in migration timing were highly variable across species and populations. The greatest temporal shifts in the median date of migration timing were correlated with decreases in the duration of migration timing, suggestive of a loss of phenotypic variation due to natural selection. Pair-wise inter-annual correlations in migration timing varied widely but were generally positive, providing evidence for weak region-wide phenological synchrony. This synchrony is likely a function of climatic variation, as inter-annual variation in migration timing was related to climatic phenomenon operating at large- (Pacific Decadal Oscillation), moderate- (sea-surface temperature), and local-scales (precipitation). Surprisingly, the presence or absence of glaciers within a watershed was unrelated to long-term shifts in phenology. Overall, there was extensive heterogeneity in long-term patterns of migration timing throughout this climatically and geographically complex region, highlighting that future climatic change will likely have widely divergent impacts on salmon migration timing. Although salmon phenological diversity will complicate future predictions of migration timing, this variation likely acts as a major contributor to population and ecosystem resiliency in Southeast Alaska. This article is protected by copyright. All rights reserved.

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The data shown below were collected from the profile of 1 X user 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Mexico 1 <1%
Finland 1 <1%
Unknown 136 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 25%
Researcher 35 25%
Student > Bachelor 12 9%
Student > Ph. D. Student 12 9%
Other 8 6%
Other 8 6%
Unknown 31 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 38%
Environmental Science 30 21%
Biochemistry, Genetics and Molecular Biology 6 4%
Earth and Planetary Sciences 4 3%
Social Sciences 4 3%
Other 10 7%
Unknown 33 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 15 December 2014.
All research outputs
#3,191,465
of 22,772,779 outputs
Outputs from Global Change Biology
#3,344
of 5,693 outputs
Outputs of similar age
#48,553
of 352,051 outputs
Outputs of similar age from Global Change Biology
#48
of 86 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,693 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.9. This one is in the 41st percentile – i.e., 41% 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 352,051 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 86 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.