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

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 proo...

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Autores principales: Bischof, Richard, Gjevestad, Jon Glenn Omholt, Ordiz, Andrés, Eldegard, Katrine, Milleret, Cyril
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586955/
https://www.ncbi.nlm.nih.gov/pubmed/31221989
http://dx.doi.org/10.1038/s41598-019-45150-x
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author Bischof, Richard
Gjevestad, Jon Glenn Omholt
Ordiz, Andrés
Eldegard, Katrine
Milleret, Cyril
author_facet Bischof, Richard
Gjevestad, Jon Glenn Omholt
Ordiz, Andrés
Eldegard, Katrine
Milleret, Cyril
author_sort Bischof, Richard
collection PubMed
description 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.
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spelling pubmed-65869552019-06-27 High frequency GPS bursts and path-level analysis reveal linear feature tracking by red foxes Bischof, Richard Gjevestad, Jon Glenn Omholt Ordiz, Andrés Eldegard, Katrine Milleret, Cyril Sci Rep Article 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. Nature Publishing Group UK 2019-06-20 /pmc/articles/PMC6586955/ /pubmed/31221989 http://dx.doi.org/10.1038/s41598-019-45150-x Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bischof, Richard
Gjevestad, Jon Glenn Omholt
Ordiz, Andrés
Eldegard, Katrine
Milleret, Cyril
High frequency GPS bursts and path-level analysis reveal linear feature tracking by red foxes
title High frequency GPS bursts and path-level analysis reveal linear feature tracking by red foxes
title_full High frequency GPS bursts and path-level analysis reveal linear feature tracking by red foxes
title_fullStr High frequency GPS bursts and path-level analysis reveal linear feature tracking by red foxes
title_full_unstemmed High frequency GPS bursts and path-level analysis reveal linear feature tracking by red foxes
title_short High frequency GPS bursts and path-level analysis reveal linear feature tracking by red foxes
title_sort high frequency gps bursts and path-level analysis reveal linear feature tracking by red foxes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586955/
https://www.ncbi.nlm.nih.gov/pubmed/31221989
http://dx.doi.org/10.1038/s41598-019-45150-x
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