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Modeling the Distribution of Migratory Bird Stopovers to Inform Landscape-Scale Siting of Wind Development

Overview of attention for article published in PLOS ONE, October 2013
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Title
Modeling the Distribution of Migratory Bird Stopovers to Inform Landscape-Scale Siting of Wind Development
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0075363
Pubmed ID
Authors

Amy Pocewicz, Wendy A. Estes-Zumpf, Mark D. Andersen, Holly E. Copeland, Douglas A. Keinath, Hannah R. Griscom

Abstract

Conservation of migratory birds requires understanding the distribution of and potential threats to their migratory habitats. However, although migratory birds are protected under international treaties, few maps have been available to represent migration at a landscape scale useful to target conservation efforts or inform the siting of wind energy developments that may affect migratory birds. To fill this gap, we developed models that predict where four groups of birds concentrate or stopover during their migration through the state of Wyoming, USA: raptors, wetland, riparian and sparse grassland birds. The models were based on existing literature and expert knowledge concerning bird migration behavior and ecology and validated using expert ratings and known occurrences. There was significant agreement between migratory occurrence data and migration models for all groups except raptors, and all models ranked well with experts. We measured the overlap between the migration concentration models and a predictive model of wind energy development to assess the potential exposure of migratory birds to wind development and illustrate the utility of migratory concentration models for landscape-scale planning. Wind development potential is high across 15% of Wyoming, and 73% of this high potential area intersects important migration concentration areas. From 5.2% to 18.8% of each group's important migration areas was represented within this high wind potential area, with the highest exposures for sparse grassland birds and the lowest for riparian birds. Our approach could be replicated elsewhere to fill critical data gaps and better inform conservation priorities and landscape-scale planning for migratory birds.

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

Geographical breakdown

Country Count As %
Portugal 4 3%
United States 1 <1%
South Africa 1 <1%
Unknown 118 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 23%
Student > Ph. D. Student 22 18%
Student > Master 20 16%
Other 12 10%
Student > Doctoral Student 11 9%
Other 12 10%
Unknown 19 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 44%
Environmental Science 36 29%
Social Sciences 3 2%
Psychology 2 2%
Earth and Planetary Sciences 2 2%
Other 5 4%
Unknown 22 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 October 2013.
All research outputs
#12,690,542
of 22,723,682 outputs
Outputs from PLOS ONE
#98,265
of 193,985 outputs
Outputs of similar age
#102,782
of 207,304 outputs
Outputs of similar age from PLOS ONE
#2,476
of 5,023 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,985 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 48th percentile – i.e., 48% 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 207,304 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 50% of its contemporaries.
We're also able to compare this research output to 5,023 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 50% of its contemporaries.