Evidence map›Paper›PMID 35395833›Full record

ArticleMovement ecology2022

Towns and trails drive carnivore movement behaviour, resource selection, and connectivity.

Jesse Whittington, Mark Hebblewhite, Robin W Baron, Adam T Ford, John Paczkowski

Open access · goldAbstract read
In one paragraph

Article in Movement ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
12.0field-weighted citation impact, top 1% of its field
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Understanding mammal avoidance of human settlements.The Journal of animal ecology · 2026
    Article
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  8. Wild canids and felids differ in their reliance on reused travel routeways.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. From science to impact: Conserving ecological connectivity in large conservation landscapes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Review
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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

5 authors at 5 institutions in 2 countries.

Jesse WhittingtonPark Canada, Banff National Park Resource Conservation, PO Box 900, Banff, AB, T1L 1K2, Canada. jesse.whittington@pc.gc.ca.ORCID http://orcid.org/0000-0002-4129-7491
Mark HebblewhiteWildlife Biology Program, Department of Ecosystem and Conservation Sciences, W.A. Franke College of Forestry and Conservation, University of Montana, 32 Campus Drive, Missoula, MT, 59801, USA.ORCID http://orcid.org/0000-0001-5382-1361
Robin W BaronPark Canada, Banff National Park Resource Conservation, PO Box 900, Banff, AB, T1L 1K2, Canada.
Adam T FordDepartment of Biology, Faculty of Science, University of British Columbia, Kelowna, BC, V1V 1V7, Canada.ORCID http://orcid.org/0000-0003-2509-7980
John PaczkowskiAlberta Environment and Parks, Kananaskis Region, 201, 800 Railway Avenue, Canmore, AB, T1W 1P1, Canada.
Alberta Environment and Protected Areas · CABanff National ParkParks Canada · CAUniversity of British Columbia · CAUniversity of Montana · US

Funding

National Science Foundation 1556248
6 · The paper itself

Abstract

backgroundGlobal increases in human activity threaten connectivity of animal habitat and populations. Protection and restoration of wildlife habitat and movement corridors require robust models to forecast the effects of human activity on movement behaviour, resource selection, and connectivity. Recent research suggests that animal resource selection and responses to human activity depend on their behavioural movement state, with increased tolerance for human activity in fast states of movement. Yet, few studies have incorporated state-dependent movement behaviour into analyses of Merriam connectivity, that is individual-based metrics of connectivity that incorporate landscape structure and movement behaviour.

methodsWe assessed the cumulative effects of anthropogenic development on multiple movement processes including movement behaviour, resource selection, and Merriam connectivity. We simulated movement paths using hidden Markov movement models and step selection functions to estimate habitat use and connectivity for three landscape scenarios: reference conditions with no anthropogenic development, current conditions, and future conditions with a simulated expansion of towns and recreational trails. Our analysis used 20 years of grizzly bear (Ursus arctos) and gray wolf (Canis lupus) movement data collected in and around Banff National Park, Canada.

resultsCarnivores increased their speed of travel near towns and areas of high trail and road density, presumably to avoid encounters with people. They exhibited stronger avoidance of anthropogenic development when foraging and resting compared to travelling and during the day compared to night. Wolves exhibited stronger avoidance of anthropogenic development than grizzly bears. Current development reduced the amount of high-quality habitat between two mountain towns by more than 35%. Habitat degradation constrained movement routes around towns and was most pronounced for foraging and resting behaviour. Current anthropogenic development reduced connectivity from reference conditions an average of 85%. Habitat quality and connectivity further declined under a future development scenario.

conclusionsOur results highlight the cumulative effects of anthropogenic development on carnivore movement behaviour, habitat use, and connectivity. Our strong behaviour-specific responses to human activity suggest that conservation initiatives should consider how proposed developments and restoration actions would affect where animals travel and how they use the landscape.

Indexed as

ConnectivityConservationCorridorHidden MarkovHuman developmentMovement ecologyResource selectionStep selectionUtilization distribution

Identifiers

PMID35395833
PMCPMC8994267
OpenAlexW4226137929

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.