A Method for Determining the Affected Areas of High-Alpine Mountain Trails

21292 6 112626 2 340480 document 112626 land-15-00200.pdf application/pdf 1090c8ee65b8616806512612f2f8f963 MD5 49156476 2026-02-05 09:00:58 https://pure.iiasa.ac.at/id/eprint/21292/1/land-15-00200.pdf 21292 1 1 application/pdf text en public cc_by_4

land-15-00200.pdf

published 112634 1 340507 document 112634 indexcodes.txt text/plain 42293696ec318cdcdb7f17a77b97b805 MD5 18250 2026-02-05 09:10:37 https://pure.iiasa.ac.at/id/eprint/21292/2/indexcodes.txt 21292 2 2 text/plain other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

lightbox.jpg

preview.jpg

medium.jpg

small.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/112626 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/112626 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/112626 archive 353 disk0/00/02/12/92 2026-02-05 09:02:38 2026-02-05 09:02:38 2026-02-05 09:02:38 article show Bašelj A. Kastelec D. Golobič M. Malek Z. 1957 0000-0002-6981-6708 Kokalj Ž. A Method for Determining the Affected Areas of High-Alpine Mountain Trails pub ASA NODES mountain trails; off-trail movement; estimation of affected areas; GNSS movement tracks; remote sensing data; lidar; sports and recreation applications; fieldwork measurements High-mountain areas with sensitive ecosystems are experiencing a steady increase in visitation, with visitors progressively moving outside designated trails, generating pressures on the natural environment. In extensive areas with numerous access points, it is difficult to monitor visitors’ movement and resulting impacts. This article describes a method for combining various data sources and approaches to determine affected areas, including their locations and extent. The method combines (1) field-mapping, (2) remote-sensing data display analysis, and (3) processing of publicly available GNSS tracks from sports applications, using 46 test plots along a selected trail to Mount Triglav in Slovenia. Affected-area surfaces and their spatial overlap were compared across the three approaches. The usefulness of remote-sensing displays and GNSS tracks for determining and predicting affected areas was assessed by reference to field measurements. A linear regression model showed that the display-analysis approach can explain 52.7% of the variability in field-mapping approach, while GNSS tracks do not provide enough information nor the accuracy comparable to field surveys. This study can help other researchers and nature-protection managers in selecting most suitable data derived from non-traditional sources to improve delineation of hiking trails and estimation of potential pressures on fragile environments. 2026-01-22 published MDPI doi:10.3390/land15010200 2606 public Land 15 1 e200 1 TRUE 2073-445X info:eu-repo/semantics/article