The differential futures of ski tourism in Ontario (Canada) under climate change: the limits of snowmaking adaptation

被引:44
|
作者
Scott, Daniel [1 ]
Steiger, Robert [2 ,3 ]
Rutty, Michelle [4 ]
Pons, Marc [5 ]
Johnson, Peter [1 ]
机构
[1] Univ Waterloo, Geog & Environm Management, Waterloo, ON, Canada
[2] Univ Innsbruck, Inst Publ Finance, Innsbruck, Austria
[3] Univ Innsbruck, Inst Geog, Innsbruck, Austria
[4] Michigan State Univ, Community Sustainabil, E Lansing, MI 48824 USA
[5] Observ Sostenibilitat dAndorra, St Julia De Loria, Andorra
关键词
climate change; climate risk; ski tourism; adaptation; snowmaking; high-end scenario; STOCHASTIC WEATHER GENERATORS; CHANGE VULNERABILITY; LARS-WG; INDUSTRY; SNOW; SOUTHERN; IMPACT;
D O I
10.1080/13683500.2017.1401984
中图分类号
F [经济];
学科分类号
02 ;
摘要
The international ski tourism industry is highly vulnerable to inter-annual climate variability and climate change. Accordingly, there is a strong need to advance our understanding of climate risk for this multi-billion tourism market that is so important to mountain regions around the world. This study addressed major limitations in the ski tourism literature, while concurrently supporting priority information needs of ski tourism stakeholders. An improved version of SkiSim 2.0 is applied to all 34 alpine ski areas in southern Ontario (Canada) to examine potential changes in the capacity of this regional marketplace. Model improvements include differential snowmaking capacities of individual ski areas, updated snowmaking decision rules, as well as a new indicator, termed 'terrain-days', to estimate changes in system capacity. The results project two fundamentally different futures for this ski tourism marketplace under climate change. If the international community succeeds in achieving the + 2 degrees C Paris Agreement policy goal, then losses in system capacity can be limited to less than 10% in the mid- and late-century. In contrast, a high-end emission scenario (RCP 8.5) would severely disrupt this ski tourism market by mid-century, with system capacity losses between 28% and 73%.
引用
收藏
页码:1327 / 1342
页数:16
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