Evidence map›Paper›PMID 31221989›Full record

ArticleScientific reports2019

High frequency GPS bursts and path-level analysis reveal linear feature tracking by red foxes.

Richard Bischof, Jon Glenn Omholt Gjevestad, Andrés Ordiz, Katrine Eldegard, Cyril Milleret

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Density and Home Range of Cats in a Small Inhabited Mediterranean Island.Animals : an open access journal from MDPI · 2024
    Article
  6. Article
  7. Article
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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.

Richard BischofFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Høgskoleveien 12, 1432, Ås, Norway. richard.bischof@nmbu.no.ORCID http://orcid.org/0000-0002-1267-9183
Jon Glenn Omholt GjevestadFaculty of Science and Technology, Norwegian University of Life Sciences, PO Box 5003, NO-1432, Ås, Norway.ORCID http://orcid.org/0000-0001-9650-3910
Andrés OrdizFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Høgskoleveien 12, 1432, Ås, Norway.ORCID http://orcid.org/0000-0002-6141-8457
Katrine EldegardFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Høgskoleveien 12, 1432, Ås, Norway.ORCID http://orcid.org/0000-0002-3276-8087
Cyril MilleretFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Høgskoleveien 12, 1432, Ås, Norway.ORCID http://orcid.org/0000-0002-8563-981X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a need to quantify and better understand how wildlife interact with linear features, as these are integral elements of most landscapes. One potentially important aspect is linear feature tracking (LFT), yet studies rarely succeed in directly revealing or quantifying this behavior. In a proof-of-concept study, we employed short-term intensive GPS monitoring of red foxes (Vulpes vulpes) in a multiple-use landscape in southern Norway. Using periodic bursts of high frequency GPS position fixes, we performed modified path selection analyses to estimate the propensity of foxes to track natural and man-made linear features (roads, forest edges, and streams) once they are encountered. Foxes in our study tracked primarily forest edges and roads. Forty-three percent of bursts that encountered any linear feature resulted in LFT. LFT, although prominent, was manifested as a short-lived behavior, with overall median times to linear feature abandonment around two minutes. Movement speeds were highest along roads, perhaps due to greater ease of travel or higher perceived risk. In the highly heterogeneous habitats that characterize human-dominated landscapes, LFT may be manifested at such a fine spatio-temporal scale that it would remain hidden during telemetry studies employing conventional position fix frequencies. The approach described here may aid others studying spatial behaviors that are manifested over very short durations, yet are biologically significant.

Indexed as

Behavior, AnimalFoxesGeographic Information SystemsSpatial BehaviorAnimalsAnimals, WildEcosystemNorway

Identifiers

PMID31221989
PMCPMC6586955

What OpenQuestion holds

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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.