Standardsignatur
Titel
Understanding forest protection against rockfall from a subjective stakeholder perception
Verfasser
Isidora Relic
Frank Perzl
Andreas Kofler
Karl Kleemayr
Roland Köck
Thomas Thaler
Christian Scheidl
Erscheinungsort
München
Verlag
European Geosciences Union
Erscheinungsjahr
2018
Material
Sonderdruck
Digitales Dokument
Datensatznummer
203554
Quelle
Geophysical Research Abstracts : The open-access abstracts of the EGU General Assemblies ; Jrg. 20 ; EGU2018-14254 (2018)
Abstract
Mountain forests provide protection against different kinds of natural hazards. This protective function is clearly
identified in the first paragraph of the Mountain Forest Protocol of the Alpine Convention of 1996 where it says
that mountain forests provide the most effective, the least expensive and the most aesthetic protection against natural hazards. Although techniques for stand stability of protection forests are well exploited by the forest experts,
systematic studies quantifying the protection effect of a forest against rockfall are limited. Hence, the collected
national and international guidelines and recommendations as well as other relevant literature will act as base-line
from which different point of views of different experts can be summarized and analyzed. Within the Interreg
Alpine Space project RockTheAlps, we therefore performed an in-depth analysis of state of the art recommendations and guidelines for sylvicultural management that primarily protects against rockfall in the European Alps.
To provide a foundation for a systematic study of the above noted relevant forest parameters we apply Q methodological approach. Q methodology enables us to identify and to describe the diversity expert’s knowledge of forest protection management strategies against rockfall risk prevention. In this way various attitudes, experiences and observations are understood and shown as qualitative data, whereas not every relevant parameter is evaluated independently of the others, but all parameters are related to each other