Evidence map›Paper›PMID 31352891›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019

Animal learning may contribute to both problems and solutions for wildlife-train collisions.

Colleen Cassady St Clair, Jonathan Backs, Alyssa Friesen, Aditya Gangadharan, Patrick Gilhooly, Maureen Murray, Sonya Pollock

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Can behavioural ecologists help establish protected areas?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  8. Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  9. Behavioural valuation of landscapes using movement data.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  10. Exposure to humans and task difficulty levels affect wild raccoons (Behavioral ecology : official journal of the International Society for Behavioral Ecology
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Colleen Cassady St ClairDepartment of Biological Sciences, University of Alberta, Edmonton, Canada T6G 2E9.
Jonathan BacksDepartment of Biological Sciences, University of Alberta, Edmonton, Canada T6G 2E9.
Alyssa FriesenDepartment of Biological Sciences, University of Alberta, Edmonton, Canada T6G 2E9.
Aditya GangadharanDepartment of Biological Sciences, University of Alberta, Edmonton, Canada T6G 2E9.
Patrick GilhoolyDepartment of Biological Sciences, University of Alberta, Edmonton, Canada T6G 2E9.
Maureen MurrayDepartment of Biological Sciences, University of Alberta, Edmonton, Canada T6G 2E9.
Sonya PollockDepartment of Biological Sciences, University of Alberta, Edmonton, Canada T6G 2E9.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transportation infrastructure can cause an ecological trap if it attracts wildlife for foraging and travel opportunities, while increasing the risk of mortality from collisions. This situation occurs for a vulnerable population of grizzly bears (Ursus arctos) in Banff National Park, Canada, where train strikes have become a leading cause of mortality. We explored this problem with analyses of rail-associated food attractants, habitat use of GPS-collared bears and patterns of past mortality. Bears appeared to be attracted to grain spilled from rail cars, enhanced growth of adjacent vegetation and train-killed ungulates with rail use that increased in spring and autumn, and in areas where trains slowed, topography was rugged, and human density was low. However, areas with higher grain deposits or greater use by bears did not predict sites of past mortality. The onset of reported train strikes occurred amid several other interacting changes in this landscape, including the cessation of lethal bear management, changes in the distribution and abundance of ungulates, increasing human use and new anthropogenic features. We posit that rapid learning by bears is critical to their persistence in this landscape and that this capacity might be enhanced to prevent train strikes in future with simple warning devices, such as the one we invented, that signal approaching trains. This article is part of the theme issue 'Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation'.

Indexed as

Conservation of Natural ResourcesLearningParks, RecreationalRailroadsAccidents, TrafficAlbertaAnimalsFemaleMaleUrsidaebehavioural flexibilityecological trapgrizzly bearsmitigationrailwaytransportation

Identifiers

PMID31352891
PMCPMC6710577

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.