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Bobcats (Lynx rufus) as a Model Organism to Investigate the Effects of Roads on Wide-Ranging Carnivores

Overview of attention for article published in Environmental Management, April 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Citations

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130 Mendeley
Title
Bobcats (Lynx rufus) as a Model Organism to Investigate the Effects of Roads on Wide-Ranging Carnivores
Published in
Environmental Management, April 2015
DOI 10.1007/s00267-015-0468-2
Pubmed ID
Authors

John A. Litvaitis, Gregory C. Reed, Rory P. Carroll, Marian K. Litvaitis, Jeffrey Tash, Tyler Mahard, Derek J. A. Broman, Catherine Callahan, Mark Ellingwood

Abstract

We are using bobcats (Lynx rufus) as a model organism to examine how roads affect the abundance, distribution, and genetic structure of a wide-ranging carnivore. First, we compared the distribution of bobcat-vehicle collisions to road density and then estimated collision probabilities for specific landscapes using a moving window with road-specific traffic volume. Next, we obtained incidental observations of bobcats from the public, camera-trap detections, and locations of bobcats equipped with GPS collars to examine habitat selection. These data were used to generate a cost-surface map to investigate potential barrier effects of roads. Finally, we have begun an examination of genetic structure of bobcat populations in relation to major road networks. Distribution of vehicle-killed bobcats was correlated with road density, especially state and interstate highways. Collision models suggested that some regions may function as demographic sinks. Simulated movements in the context of the cost-surface map indicated that some major roads may be barriers. These patterns were supported by the genetic structure of bobcats. The sharpest divisions among genetically distinct demes occurred along natural barriers (mountains and large lakes) and in road-dense regions. In conclusion, our study has demonstrated the utility of using bobcats as a model organism to understand the variety of threats that roads pose to a wide-ranging species. Bobcats may also be useful as one of a group of focal species while developing approaches to maintain existing connectivity or mitigate the negative effects of roads.

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

Geographical breakdown

Country Count As %
United States 3 2%
Germany 1 <1%
Indonesia 1 <1%
Mexico 1 <1%
Austria 1 <1%
Spain 1 <1%
Estonia 1 <1%
Unknown 121 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 21%
Student > Master 24 18%
Student > Ph. D. Student 22 17%
Student > Bachelor 12 9%
Other 9 7%
Other 16 12%
Unknown 20 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 46%
Environmental Science 32 25%
Medicine and Dentistry 4 3%
Engineering 3 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 6 5%
Unknown 23 18%
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 26 May 2015.
All research outputs
#7,777,586
of 25,371,288 outputs
Outputs from Environmental Management
#657
of 1,913 outputs
Outputs of similar age
#85,928
of 278,624 outputs
Outputs of similar age from Environmental Management
#12
of 46 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,913 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 65% 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 278,624 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 68% of its contemporaries.
We're also able to compare this research output to 46 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 73% of its contemporaries.