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Local Variability Mediates Vulnerability of Trout Populations to Land Use and Climate Change

Overview of attention for article published in PLOS ONE, August 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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8 news outlets
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5 X users

Citations

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35 Dimensions

Readers on

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83 Mendeley
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1 CiteULike
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Title
Local Variability Mediates Vulnerability of Trout Populations to Land Use and Climate Change
Published in
PLOS ONE, August 2015
DOI 10.1371/journal.pone.0135334
Pubmed ID
Authors

Brooke E. Penaluna, Jason B. Dunham, Steve F. Railsback, Ivan Arismendi, Sherri L. Johnson, Robert E. Bilby, Mohammad Safeeq, Arne E. Skaugset

Abstract

Land use and climate change occur simultaneously around the globe. Fully understanding their separate and combined effects requires a mechanistic understanding at the local scale where their effects are ultimately realized. Here we applied an individual-based model of fish population dynamics to evaluate the role of local stream variability in modifying responses of Coastal Cutthroat Trout (Oncorhynchus clarkii clarkii) to scenarios simulating identical changes in temperature and stream flows linked to forest harvest, climate change, and their combined effects over six decades. We parameterized the model for four neighboring streams located in a forested headwater catchment in northwestern Oregon, USA with multi-year, daily measurements of stream temperature, flow, and turbidity (2007-2011), and field measurements of both instream habitat structure and three years of annual trout population estimates. Model simulations revealed that variability in habitat conditions among streams (depth, available habitat) mediated the effects of forest harvest and climate change. Net effects for most simulated trout responses were different from or less than the sum of their separate scenarios. In some cases, forest harvest countered the effects of climate change through increased summer flow. Climate change most strongly influenced trout (earlier fry emergence, reductions in biomass of older trout, increased biomass of young-of-year), but these changes did not consistently translate into reductions in biomass over time. Forest harvest, in contrast, produced fewer and less consistent responses in trout. Earlier fry emergence driven by climate change was the most consistent simulated response, whereas survival, growth, and biomass were inconsistent. Overall our findings indicate a host of local processes can strongly influence how populations respond to broad scale effects of land use and climate change.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Ukraine 1 1%
Unknown 81 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 23%
Researcher 18 22%
Student > Ph. D. Student 10 12%
Student > Bachelor 9 11%
Other 7 8%
Other 11 13%
Unknown 9 11%
Readers by discipline Count As %
Environmental Science 29 35%
Agricultural and Biological Sciences 22 27%
Nursing and Health Professions 4 5%
Social Sciences 4 5%
Mathematics 2 2%
Other 7 8%
Unknown 15 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 68. 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 13 October 2015.
All research outputs
#532,437
of 22,824,164 outputs
Outputs from PLOS ONE
#7,582
of 194,764 outputs
Outputs of similar age
#7,422
of 266,184 outputs
Outputs of similar age from PLOS ONE
#187
of 5,959 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,764 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done particularly well, scoring higher than 96% 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 266,184 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 97% of its contemporaries.
We're also able to compare this research output to 5,959 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 96% of its contemporaries.