Comparison of three modelling approaches of potential natural forest habitats in Bavaria, Germany

  • In the context of the EU Habitats Directive, which contains the obligation of environmental monitoring, nature conservation authorities face a growing demand for effective and competitive methods to survey protected habitats. Therefore the presented research study compared three modelling approaches (rule-based method with applied Bavarian woodland types, multivariate technique of cluster analysis, and a fuzzy logic approach) for the purpose of detecting potential habitat types. The results can be combined with earth observation data of different geometric resolution (ASTER, SPOT5, aerial photographs or very high resolution satellite data) in order to determine actual forest habitat types. This was carried out at two test sites, situated in the pre-alpine area in Bavaria (southern Germany). The results were subsequently compared to the terrestrial mapped habitat areas of the NATURA 2000 management plans. First results show that these techniques are a valuable support in mapping and monitoring NATURA 2000 forest habitats.

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Metadaten
Author:Michael Förster, Birgit Kleinschmit, Helge WalentowskiORCiDGND
URN:urn:nbn:de:hebis:30-1104190
ISSN:1867-710X
Parent Title (German):Waldökologie online : AFSV-Berichte der Arbeitsgemeinschaft Forstliche Standorts- und Vegetationskunde
Document Type:Article
Language:English
Year of Completion:2005
Year of first Publication:2005
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2008/07/30
Tag:Natura2000; environmental monitoring; multivariate technique; nature conservation; rule-based method
Issue:2
Page Number:10
First Page:126
Last Page:135
HeBIS-PPN:204052254
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Zeitschriften / Jahresberichte:Waldökologie, Landschaftsforschung und Naturschutz / Waldökologie online, Heft 2 (2005)
Licence (German):License LogoDeutsches Urheberrecht