Evidence map›Paper›PMID 39215311›Full record

ArticleMovement ecology2024

Intraspecific encounters can lead to reduced range overlap.

William F Fagan, Ananke Krishnan, Qianru Liao, Christen H Fleming, Daisy Liao, Clayton Lamb, Brent Patterson, Tyler Wheeldon, Ricardo Martinez-Garcia, Jorge F S Menezes and 3 more

Abstract read
In one paragraph

Article in Movement ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

William F FaganDepartment of Biology, University of Maryland, College Park, MD, USA. bfagan@umd.edu.ORCID https://orcid.org/0000-0003-2433-9052
Ananke Krishnan *Department of Biology, University of Maryland, College Park, MD, USA.
Qianru Liao *Department of Biology, University of Maryland, College Park, MD, USA.
Christen H FlemingDepartment of Biology, University of Maryland, College Park, MD, USA.
Daisy LiaoDepartment of Biology, University of Maryland, College Park, MD, USA.
Clayton LambDepartment of Biology, University of British Columbia, Kelowna, BC, Canada.
Brent PattersonOntario Ministry of Natural Resources and Forestry, Trent University, Peterborough, ON, Canada.
Tyler WheeldonOntario Ministry of Natural Resources and Forestry, Trent University, Peterborough, ON, Canada.
Ricardo Martinez-GarciaCenter for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rosendorf (HZDR), Görlitz, Germany.
Jorge F S MenezesCenter for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rosendorf (HZDR), Görlitz, Germany.
Michael J NoonanDepartment of Biology, The University of British Columbia Okanagan, Kelowna, BC, Canada.
Eliezer GurarieDepartment of Environmental Biology, SUNY Environmental Science and Forestry, Syracuse, NY, USA.
Justin M CalabreseDepartment of Biology, University of Maryland, College Park, MD, USA.

Funding

FAPESP BIOTA Young Investigator Research Grant no. 2019/05523-8457National Science Foundation IIBR 1915347Simons Foundation through grant 284558FY19
6 · The paper itself

Abstract

Direct encounters, in which two or more individuals are physically close to one another, are a topic of increasing interest as more and better movement data become available. Recent progress, including the development of statistical tools for estimating robust measures of changes in animals' space use over time, facilitates opportunities to link direct encounters between individuals with the long-term consequences of those encounters. Working with movement data for coyotes (Canis latrans) and grizzly bears (Ursus arctos horribilis), we investigate whether close intraspecific encounters were associated with spatial shifts in the animals' range distributions, as might be expected if one or both of the individuals involved in an encounter were seeking to reduce or avoid conflict over space. We analyze the movement data of a pair of coyotes in detail, identifying how a change in home range overlap resulting from altered movement behavior was apparently a consequence of a close intraspecific encounter. With grizzly bear movement data, we approach the problem as population-level hypothesis tests of the spatial consequences of encounters. We find support for the hypotheses that (1) close intraspecific encounters between bears are, under certain circumstances, associated with subsequent changes in overlap between range distributions and (2) encounters defined at finer spatial scales are followed by greater changes in space use. Our results suggest that animals can undertake long-term, large-scale spatial changes in response to close intraspecific encounters that have the potential for conflict. Overall, we find that analyses of movement data in a pairwise context can (1) identify distances at which individuals' proximity to one another may alter behavior and (2) facilitate testing of population-level hypotheses concerning the potential for direct encounters to alter individuals' space use.

Indexed as

Canis latransContinuous-time movement modelingGPS tracking dataPerceptual rangeSpatial overlapUrsus arctos horribilis

Identifiers

PMID39215311
PMCPMC11365178

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.