Opin vísindi

Image Analysis to Monitor Experimental Trampling and Vegetation Recovery in Icelandic Plant Communities

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dc.contributor Háskóli Íslands
dc.contributor University of Iceland
dc.contributor.author Runnström, Micael C.
dc.contributor.author Olafsdottir, Rannveig
dc.contributor.author Blanke, Jan
dc.contributor.author Berlin, Bastian
dc.date.accessioned 2020-03-23T15:59:39Z
dc.date.available 2020-03-23T15:59:39Z
dc.date.issued 2019-08-21
dc.identifier.citation Runnström, M.C.; Ólafsdóttir, R.; Blanke, J.; Berlin, B. Image Analysis to Monitor Experimental Trampling and Vegetation Recovery in Icelandic Plant Communities. Environments 2019, 6, 99.
dc.identifier.issn 2076-3298
dc.identifier.uri https://hdl.handle.net/20.500.11815/1650
dc.description Publisher's version (útgefin grein)
dc.description.abstract With growing tourism in natural areas, monitoring recreational impacts is becoming increasingly important. This paper aims to evaluate how di_erent trampling intensities a_ect some common Icelandic plant communities by using digital photographs to analyze and quantify vegetation in experimental plots and to monitor vegetation recovery rates over a consecutive three-year period. Additionally, it seeks to evaluate the use of image analysis for monitoring recreational impact in natural areas. Experimental trampling was conducted in two di_erent sites representing the lowlands and the highlands in 2014, and the experimental plots were revisited in 2015, 2016, and 2017. The results show that moss has the highest sensitivity to trampling, and furthermore has a slow recovery rate. Moss-heaths in the highlands also show higher sensitivity and slower recovery rates than moss-heaths in the lowlands, and grasslands show the highest resistance to trampling. Both methods tested, i.e., Green Chromatic Coordinate (GCC) and Maximum Likelihood Classification (MLC), showed significant correlation with the trampling impact. Using image analysis to quantify the status and define limits of use will likely be a valuable and vital element in managing recreational areas. Unmanned aerial vehicles (UAVs) will add a robust way to collect photographic data that can be processed into vegetation parameters to monitor recreational impacts in natural areas.
dc.description.sponsorship This research was partly funded by the Icelandic Tourist Board.
dc.format.extent 99
dc.language.iso en
dc.publisher MDPI AG
dc.relation.ispartofseries Environments;6(9)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Experimental plots
dc.subject Green chromatic coordinate (GCC)
dc.subject Image analysis
dc.subject Maximum Likelihood Classification (MLC)
dc.subject Monitoring
dc.subject Nature-based tourism
dc.subject Recreational trampling
dc.subject Ferðamennska
dc.subject Umhverfismál
dc.subject Gróðureyðing
dc.subject Traðk
dc.title Image Analysis to Monitor Experimental Trampling and Vegetation Recovery in Icelandic Plant Communities
dc.type info:eu-repo/semantics/article
dcterms.license This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
dc.description.version Peer Reviewed
dc.identifier.journal Environments - MDPI
dc.identifier.doi 10.3390/environments6090099
dc.relation.url https://www.mdpi.com/2076-3298/6/9/99/pdf
dc.contributor.department Líf- og umhverfisvísindadeild (HÍ)
dc.contributor.department Faculty of Life and Environmental Sciences (UI)
dc.contributor.school Verkfræði- og náttúruvísindasvið (HÍ)
dc.contributor.school School of Engineering and Natural Sciences (UI)

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