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

Autor: Bastian Berlin, J. H. Blanke, Rannveig Ólafsdóttir, Micael Runnström
Přispěvatelé: Líf- og umhverfisvísindadeild (HÍ), Faculty of Life and Environmental Sciences (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Háskóli Íslands, University of Iceland
Jazyk: angličtina
Rok vydání: 2019
Předmět:
010504 meteorology & atmospheric sciences
Monitoring
nature-based tourism
Experimental plots
Maximum likelihood classification
Recreational trampling
01 natural sciences
Natural (archaeology)
lcsh:TD1-1066
Image analysis
Recovery rate
Maximum Likelihood Classification (MLC)
image analysis
0502 economics and business
Traðk
Green chromatic coordinate (GCC)
Gróðureyðing
lcsh:Environmental technology. Sanitary engineering
Recreation
Ecology
Evolution
Behavior and Systematics
0105 earth and related environmental sciences
General Environmental Science
green chromatic coordinate (GCC)
Resistance (ecology)
Renewable Energy
Sustainability and the Environment
recreational trampling
experimental plots
05 social sciences
Ferðamennska
Plant community
Vegetation
Nature-based tourism
monitoring
Environmental science
Physical geography
Trampling
Umhverfismál
050212 sport
leisure & tourism
Zdroj: Environments, Vol 6, Iss 9, p 99 (2019)
Environments
Volume 6
Issue 9
ISSN: 2076-3298
Popis: Publisher's version (útgefin grein)
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.
This research was partly funded by the Icelandic Tourist Board.
Databáze: OpenAIRE
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