The Christmas—Easter Shift: Simulating Alpine Ski Resorts' Future Development under Climate Change Conditions Using the Parameter ‘Optimal Ski Day’

Abstract

Ski tourism is strongly influenced by climate change. The economic success of ski tourism regions depends on both the quantity and quality of the ski resorts' opening days. However, to date there has been little research on the quality of ski season opening days. The purpose of this paper is to develop and apply a parameter that enables us to assess the future development of ski seasons in a differentiated way. The results show a decrease of ski area opening days from 2011 to 2060 in the investigation area in general and a trend to an intra-seasonal postponing of optimal ski days, labelled the ‘Christmas– Easter shift’. The parameter developed contributes to our understanding of climate change effects on the tourism supply-side at a regional scale and offers decision support to ski lift operators or tourism associations in terms of adaptation measures.

Keywords

winter sports tourism climate change climate impact research regional economic effects season length

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References

Abegg

(1996), Klimaänderung und Tourismus. Klimafolgenforschung am Beispiel des Wintertourismus in den Schweizer Alpen, vdf, Zurich.

Abegg

Elsasser

(2007), ‘Wintertourismus im klimastress’, in Egger

Herdin

, eds, Tourismus. Herausforderung Zukunft. Wissenschaftliche Schriftreihe des Zentrums für Tourismusforschung, Vol 11, Lit, Salzburg, pp 219–230.

Bark

R.H.

Colby

B.G.

Dominguez

(2010), ‘Snow days? Snowmaking adaptation and the future of low latitude, high elevation skiing in Arisona, USA’, Climatic Change, Vol 102, pp 467–491.

Barthel

Janisch

Schwarz

Trifkovic

Nickel

Schulz

Mauser

(2008), ‘An integrated modelling framework for simulating regional-scale actor responses to global change in the water domain’, Environmental Modelling and Software, Vol 23, pp 1095–1121.

Barthel

Janisch

Nickel

Trifkovic

Hörhan

(2010), ‘Using the multiactor-approach in GLOWA-Danube to simulate decisions for the water supply sector under conditions of global climate change’, Water Resources Management, Vol 24, No 2, pp 239–275.

BayWG (Bayerisches Wassergesetz des Landtags des Freistaats Bayern) (2010), ‘Bayerisches Wassergesetz’ (http://www.gesetze-bayern.de/jportal/portal/page/bsbayprod.psml?showdoccase=1&doc.id=jlr-WasGBY2010rahmen&doc.part=X&doc.origin=bs, accessed 15 October 2012).

Berrittella

Bigano

Roson

Tol

(2006), ‘A general equilibrium analysis of climate change impacts on tourism’, Tourism Management, Vol 27, pp 913–924.

Boon

(2006), ‘When leisure and work are allies. The case of skiers and tourist resort hotels’, Career Development International, Vol 11, No 7, pp 594–608.

Dawson

Scott

McBoyle

(2009), ‘Climate change analogue analysis of ski tourism in the northeastern USA’, Climate Research, Vol 39, pp 1–9.

10.

Dawson

Scott

(2010), ‘Systems analysis of climate change vulnerability for the US northeast ski sector’, Tourism and Hospitality Planning & Development, Vol 7, No 3, pp 219–235.

11.

Dingeldey

(2008), Modellierung der touristischen Attraktivität zur Bestimmung der Übernachtungsnachfrage im Einzugsbereich der Oberen Donau unter Berücksichtigung von Umwelteinflüssen, Dr Hut, Munich.

12.

Elsasser

Bürki

(2002), ‘Climate change as a threat to tourism in the Alps’, Climate Research, Vol 20, pp 253–257.

13.

Falk

(2011), ‘Impact of long-term weather on domestic and foreign winter tourism demand’, International Journal of Tourism Research, Online First DOI: 10.1002/jtr.865.

14.

Frenzel

(2011), ‘Skifahren ohne Schnee. Sinkende Niederschläge stellen Bayerns Wintersportgebiete vor Probleme’, Bayerische Staatszeitung (http://www.bayerische-staatszeitung.de/staatszeitung/politik/detailansicht-politik/artikel/skifahren-ohne-schnee/, accessed 23 December 2011).

15.

Fukushima

Kureha

Ozaki

Fujimori

Harasawa

(2002), ‘Influences of air temperature change on leisure industries. Case study on ski activities’, Mitigation and Adaptation Strategies for Global Change, Vol 7, pp 173–189.

16.

German Meteorological Service (2011), ‘Tageswerte station Zugspitze’ (http://www.dwd.de/bvbw/appmanager/bvbwdwdwwwDesktop?_nfpb=trueand_pageLabel=_dwdwww_klima_umwelt_klimadaten_deutschlandandT82002gsbDocumentPath=Navigation%2FOeffentlichkeit%2FKlima__Umwelt%2FKlimadaten%2Fkldaten__kostenfrei%2Fausgabe__tageswerte__node.html%3F__nnn%3Dtrue, accessed 15 October 2012).

17.

Gössling

Scott

Hall

C.M.

Ceron

J.-P.

Dubois

(2012), ‘Consumer behaviour and demand response of tourists to climate change’, Annals of Tourism Research, Vol 39, No 1, pp 36–58.

18.

Hahn

(2004), ‘Künstliche Beschneiung im Alpenraum. Ein Hintergrundbericht’ (http://www.cipra.org/de/alpmedia/dossiers/11/?set_language=de, accessed 15 October 2012).

19.

Hall

C.M.

Higham

(2005), ‘Introduction: Tourism, recreation and climate change’, in Hall

C.M.

Higham

, eds, Tourism, Recreation and Climate Change, Channel View Publications, Clevedon, pp 3–28.

20.

Harrer

(1996), Wirtschaftsgeographische Auswirkungen einer veränderten ökologischen Situation. Konsequenzen für den Wintertourismus in Deutschland, dwif, Munich.

21.

Jones

Phillips

, eds (2011), Disappearing Destinations. Climate Change and Future Challenges for Coastal Tourism, CABI, Oxford.

22.

Kuhn

Ernst

(2009), ‘Gesellschaftsszenarien in GLOWA-Danube’, in GLOWA-Danube Project, Global Change Atlas Einzugsgebiet Obere Donau (http://www.glowa-danube.de/atlas/s6.php, accessed 15 October 2012).

23.

Landauer

Pröbstl

Haider

(2012), ‘Managing cross-country skiing destinations under the conditions of climate change. Scenarios for destinations in Austria and Finland’, Tourism Management, Vol 33, No 4, pp 741–751.

24.

Ludwig

Mauser

Niemeyer

Colgan

Stolz

Escher-Vetter

Kuhn

Reichstein

Tenhunen

Kraus

Ludwig

Barth

Hennicker

(2003), ‘Web-based modelling of energy, water and matter fluxes to support decision making in mesoscale catchments. The integrative perspective of GLOWA-Danube’, Physics and Chemistry of the Earth, Vol 28, pp 621–634.

25.

Matzarakis

Mayer

Iziomon

M.G.

(1999), ‘Applications of a universal thermal index. Physiological equivalent temperature’, International Journal of Biometeorology, Vol 43, pp 76–84.

26.

Mauser

(2010), ‘Der statistische Klimaantriebs-Generator’, in GLOWA-Danube Project, Global Change Atlas Einzugsgebiet Obere Donau (http://www.glowa-danube.de/atlas/s3.php, accessed 15 October 2012).

27.

Mauser

Weidinger

Stöber

(2008), ‘Das Projekt GLOWA-Danube’, in GLOWA-Danube Project, Global Change Atlas Einzugsgebiet Obere Donau (http://www.glowa-danube.de/atlas/e1.php, accessed 15 October 2012).

28.

Mauser

Marke

Reiter

Jacob

Preuschmann

(2009), ‘Die GLOWA-Danube Klimatrends’, in GLOWA-Danube Project, Global Change Atlas Einzugsgebiet Obere Donau (http://www.glowa-danube.de/atlas/s2.php, accessed 15 October 2012).

29.

Müller

(2007), Tourismus und Ökologie. Wechselwirkungen und Handlungsfelder, Oldenbourg, Munich.

30.

Müller

Weber

(2008), ‘Climate change and tourism. Scenario analysis for the Bernese Oberland in 2030’, Tourism Review, Vol 63, No 3, pp 57–71.

31.

OECD (Organization for Economic Cooperation and Development), UNEP (United Nations Environment Programme) (2011), ‘Climate change and tourism policy in OECD countries’ (http://www.oecd.org/dataoecd/8/28/48681944.pdf, accessed 15 October 2012).

32.

Sax

(2008), ‘Entwicklung eines Konzepts zur computergestützten Modellierung der touristischen Wassernutzung im Einzugsgebiet der Oberen Donau unter Berücksichtigung des Klimawandels’, Beiträge zur Wirtschaftsgeographie Regensburg, Vol 11, pp 1–236.

33.

Scott

de Freitas

Matzarakis

(2009), ‘Adaptation in the tourism and recreation sector’, in Ebi

K.L.

Burton

McGregor

G.R.

, eds, Biometeorology for Adaptation to Climate Variability and Change, Springer, Berlin, pp 171–194.

34.

Soboll

Elbers

Barthel

Schmude

Ernst

Ziller

(2011), ‘Integrated regional modeling and scenario development to evaluate future water demand under global change conditions’, Mitigation and Adaptation Strategies for Global Change, Vol 16, No 4, pp 477–498.

35.

Soboll

Schmude

(2011), ‘Simulating tourism water consumption under climate change conditions using agent-based modeling. The example of ski areas’, Annals of the Association of American Geographers, Vol 101, No 5, pp 1049–1066.

36.

Soboll

Dingeldey

(2012), ‘The future impact of climate change on Alpine winter tourism. A high resolution simulation system in the German and Austrian Alps’, Journal of Sustainable Tourism, Vol 20, No 1, pp 101–120.

37.

Soboll

Klier

Heumann

(2012), ‘The prospective impact of climate change on tourism and regional economic development. A simulation study for Bavaria’, Tourism Economics, Vol 18, No 1, pp 139–157.

38.

Solomon

Qin

Manning

Chen

Marquis

Averyt

K.B.

Tignor

Miller

H.L.

Chen

, eds (2007), ‘Climate change 2007. The physical science basis. Contribution of working group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change’, IPCC, New York.

39.

Tuppen

(2000), ‘The restructuring of winter sports resorts in the French Alps. Problems, processes and policies’, International Journal of Tourism Research, Vol 2, No 5, pp 327–344.

40.

Unbehaun

Pröbstl

Haider

(2008), ‘Trends in winter sport tourism. Challenges for the future’, Tourism Review, Vol 63, No 1, pp 36–47.

41.

VDS (Verband Deutscher Seilbahnen und Schlepplifte e.V.) (2012), ‘Beschneiungsanlagen in Deutschland’ (http://www.seilbahnen.de/beschneiungsanlagen-in-deutschland, accessed 15 October 2012).

42.

Witmer

Filliger

Künz

Kung

(1986), Erfassung, Bearbeitung und Kartierung von Schneedaten in der Schweiz, Geographical Institute University of Bern, Bern.

43.

WMO (World Meteorological Organization) (2008), ‘WMO guide to meteorological instruments and methods of observation. CIMO-Guide’ (http://www.wmo.int/pages/prog/www/IMOP/publications/CIMO-Guide/CIMO_Guide-7th_Edition-2008.html, accessed 15 October 2012).

44.

Zhang

Cai

Huang

(2011), ‘Tourism destination image structural model and visitors' behavioral intentions. Based on a confirmatory study of localization of potential consumers’, Tourism Science, Vol 1, pp 35–45.