Geoscience Reference
In-Depth Information
Table 20.1 General characteristics on ski-touring and snow-shoeing (Ingold, 2005 ; Scheuermann,
2005 )
Ski-touring
Snow-shoeing
Description
Ascents: physically exertive,
descents: demand for large hill areas
for ski-run
easy to learn, space intensive, off the
beaten track
Reason
access to winter landscape,
physical exercise, nature experience
solitude, nature experience, unspoiled
nature (without any infrastructure)
Spatial
Distribution
in all elevation zone: valley to summits montane zone (below forest line),
terrain without steeps
Abilities
ability to ski off-piste, good navigation
skills, good awareness of the risks of
mountain environment in winter (e.g.
avalanches)
Season
November to Mai, peak season February
to mid of April
January to March
Day Time
after daybreak to afternoon
morning to late afternoon
Development
strong increase:
7,00,000 persons in the year 2000
3,00,000 persons in the year 2005
strong increase during the last years
alternative due to insufficient snow
and for non-skier
knowing temporal and spatial aspects of recreational use and wildlife habitat, it
gets obvious if both intersect. However, concerning grouse species - in general
(see, e.g. Ingold, 2005 ; LWF, 2005 ) and for Berchtesgaden National Park (see,
e.g. Künzl, 2007 ; Preuss, 2005 ) - a large amount of data as well as knowledge
are available (e.g. habitat requirements during each season, mode of life, distur-
bance behaviour: response time, escape distance and length). With reference to
winter recreation (e.g. concrete number of ski-tourers and snow-shoers, their spatio-
temporal distribution) there is still a lack of information. Due to this, management
decisions related to both activities are frequently based on estimates and generaliza-
tions instead of concrete data. In addition, there is extensive knowledge on collecting
and processing ecological data, but comparatively only little experience in the field
of nature- and landscape-based recreation (Giles, 2003 ). In Berchtesgaden National
Park data collection by visitor monitoring methods, data management in adequate
data models and data processing via statistics were central steps to provide infor-
mation and knowledge on spatio-temporal use patterns of the winter activities. For
spatial analyses and cartographic visualization a Geographic Information Systems
GIS was used.
20.7 Visitor Numbers and Temporal Performance Pattern
In the winter of 2005/06 data on ski-touring and snow-shoeing were collected by
common visitor monitoring methods, as described in Arnberger ( 2007 ); Muhar et al.
( 2002 ):
 
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