Literature DB >> 20490572

Climate and tourism in the Black Forest during the warm season.

Christina Endler1, Andreas Matzarakis.   

Abstract

Climate, climate change and tourism all interact. Part of the public discussion about climate change focusses on the tourism sector, with direct and indirect impacts being of equally high relevance. Climate and tourism are closely linked. Thus, climate is a very decisive factor in choices both of destination and of type of journey (active holidays, wellness, and city tours) in the tourism sector. However, whether choices about destinations or types of trip will alter with climate change is difficult to predict. Future climates can be simulated and projected, and the tendencies of climate parameters can be estimated using global and regional climate models. In this paper, the focus is on climate change in the mountainous regions of southwest Germany - the Black Forest. The Black Forest is one of the low mountain ranges where both winter and summer tourism are vulnerable to climate change due to its southern location; the strongest climatic changes are expected in areas covering the south and southwest of Germany. Moreover, as the choice of destination is highly dependent on good weather, a climatic assessment for tourism is essential. Thus, the aim of this study was to estimate climatic changes in mountainous regions during summer, especially for tourism and recreation. The assessment method was based on human-biometeorology as well as tourism-climatologic approaches. Regional climate simulations based on the regional climate model REMO were used for tourism-related climatic analyses. Emission scenarios A1B and B1 were considered for the time period 2021 to 2050, compared to the 30-year base period of 1971-2000, particularly for the warm period of the year, defined here as the months of March-November. In this study, we quantified the frequency, but not the means, of climate parameters. The study results show that global and regional warming is reflected in an increase in annual mean air temperature, especially in autumn. Changes in the spring show a slight negative trend, which is in line with the trend of a decrease in physiologically equivalent temperature as well as in thermal comfort conditions. Due to the rising air temperature, heat stress as well as sultry conditions are projected to become more frequent, affecting human health and recreation, especially at lower lying altitudes. The tops of the mountains and higher elevated areas still have the advantage of offering comfortable climatic conditions.

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Year:  2010        PMID: 20490572     DOI: 10.1007/s00484-010-0323-3

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  5 in total

1.  The physiological equivalent temperature - a universal index for the biometeorological assessment of the thermal environment.

Authors:  P Höppe
Journal:  Int J Biometeorol       Date:  1999-10       Impact factor: 3.787

2.  Tourism climatology: evaluating environmental information for decision making and business planning in the recreation and tourism sector.

Authors:  C R de Freitas
Journal:  Int J Biometeorol       Date:  2003-05-09       Impact factor: 3.787

3.  The role of increasing temperature variability in European summer heatwaves.

Authors:  Christoph Schär; Pier Luigi Vidale; Daniel Lüthi; Christoph Frei; Christian Häberli; Mark A Liniger; Christof Appenzeller
Journal:  Nature       Date:  2004-01-11       Impact factor: 49.962

4.  Modelling radiation fluxes in simple and complex environments--application of the RayMan model.

Authors:  Andreas Matzarakis; Frank Rutz; Helmut Mayer
Journal:  Int J Biometeorol       Date:  2006-11-09       Impact factor: 3.787

5.  Climate change and thermal bioclimate in cities: impacts and options for adaptation in Freiburg, Germany.

Authors:  Andreas Matzarakis; Christina Endler
Journal:  Int J Biometeorol       Date:  2010-01-21       Impact factor: 3.787

  5 in total
  1 in total

1.  Quantification of climate tourism potential of Croatia based on measured data and regional modeling.

Authors:  Caroline Brosy; Ksenija Zaninovic; Andreas Matzarakis
Journal:  Int J Biometeorol       Date:  2013-10-11       Impact factor: 3.787

  1 in total

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