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Mitigating road impacts on animals through learning principles

Overview of attention for article published in Animal Cognition, May 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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15 X users
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2 Facebook pages

Citations

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19 Dimensions

Readers on

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146 Mendeley
Title
Mitigating road impacts on animals through learning principles
Published in
Animal Cognition, May 2016
DOI 10.1007/s10071-016-0989-y
Pubmed ID
Authors

D. S. Proppe, N. McMillan, J. V. Congdon, C. B. Sturdy

Abstract

Roads are a nearly ubiquitous feature of the developed world, but their presence does not come without consequences. Many mammals, birds, reptiles, and amphibians suffer high rates of mortality through collision with motor vehicles, while other species treat roads as barriers that reduce gene flow between populations. Road effects extend beyond the pavement, where traffic noise is altering communities of songbirds, insects, and some mammals. Traditional methods of mitigation along roads include the creation of quieter pavement and tires and the construction of physical barriers to reduce sound transmission and movement. While effective, these forms of mitigation are costly and time-consuming. One alternative is the use of learning principles to create or extinguish aversive behaviors in animals living near roads. Classical and operant conditioning are well-documented techniques for altering behavior in response to novel cues and signals. Behavioral ecologists have used conditioning techniques to mitigate human-wildlife conflict challenges, alter predator-prey interactions, and facilitate reintroduction efforts. Yet, these principles have rarely been applied in the context of roads. We suggest that the field of road ecology is ripe with opportunity for experimentation with learning principles. We present tangible ways that learning techniques could be utilized to mitigate negative roadside behaviors, address the importance of evaluating fitness within these contexts, and evaluate the longevity of learned behaviors. This review serves as an invitation for empirical studies that test the effectiveness of learning paradigms as a mitigation tool in the context of roads.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Portugal 1 <1%
Canada 1 <1%
Unknown 143 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 18%
Student > Master 26 18%
Researcher 18 12%
Student > Bachelor 15 10%
Student > Doctoral Student 6 4%
Other 25 17%
Unknown 29 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 34%
Environmental Science 35 24%
Psychology 8 5%
Nursing and Health Professions 4 3%
Engineering 3 2%
Other 8 5%
Unknown 38 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 12 December 2017.
All research outputs
#3,731,521
of 23,573,357 outputs
Outputs from Animal Cognition
#632
of 1,487 outputs
Outputs of similar age
#57,695
of 300,419 outputs
Outputs of similar age from Animal Cognition
#13
of 33 outputs
Altmetric has tracked 23,573,357 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.0. This one has gotten more attention than average, scoring higher than 57% 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 300,419 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 80% of its contemporaries.
We're also able to compare this research output to 33 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 60% of its contemporaries.