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

• Published in: Scientific reports 2019-06, Vol.9 (1), p.8849-13, Article 8849
• Main Authors: Bischof, Richard, Gjevestad, Jon Glenn Omholt, Ordiz, Andrés, Eldegard, Katrine, Milleret, Cyril
• Format: Article
• Language: English
• Subjects: 631/158; 704/158/856; Animals; Animals, Wild; Behavior, Animal; Ecosystem; Foraging behavior; Foxes; Geographic Information Systems; Global positioning systems; GPS; Habitats; Humanities and Social Sciences; Investigations; Life sciences; multidisciplinary; Norway; Roads; Science; Science (multidisciplinary); Spatial Behavior; Spatial data; Telemetry; Wildlife
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-019-45150-x

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 vulpe s) 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.