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The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze Mountains Cover

The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze Mountains

Open Access
|Apr 2016

Abstract

Information about vegetation condition is needed for the effective management of natural resources and the estimation of the effectiveness of nature conservation. The aim of the study was to analyse the condition of non-forest mountain communities: synanthropic communities and natural grasslands. UNESCO’s M&B Karkonosze Transboundary Biosphere Reserve was selected as the research area. The analysis was based on 40 field test polygons and APEX hyperspectral images. The field measurements allowed the collection of biophysical parameters - Leaf Area Index (LAI), fraction of Absorbed Photosynthetically Active Radiation (fAPAR) and chlorophyll content - which were correlated with vegetation indices calculated using the APEX images. Correlations were observed between the vegetation indices (general condition, plant structure) and total area of leaves (LAI), as well as fraction of Absorbed Photosynthetically Active Radiation (fAPAR). The outcomes show that the non-forest communities in the Karkonosze are in good condition, with the synanthropic communities characterised by better condition compared to the natural communities.

DOI: https://doi.org/10.1515/mgrsd-2016-0009 | Journal eISSN: 2084-6118 | Journal ISSN: 0867-6046
Language: English
Page range: 21 - 27
Submitted on: Jul 20, 2015
Accepted on: Feb 10, 2016
Published on: Apr 20, 2016
Published by: Faculty of Geography and Regional Studies, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2016 Anna M. Jarocińska, Monika Kacprzyk, Adriana Marcinkowska-Ochtyra, Adrian Ochtyra, Bogdan Zagajewski, Koen Meuleman, published by Faculty of Geography and Regional Studies, University of Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.