Identifying the tourism sector's exposure to climate change utilizing two different climate datasets: the case of three climatically diverse locations in Slovenia.

Clicks: 32
ID: 281650
2025
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
This study investigates the exposure of Slovenia's tourism industry to climate change by analyzing climate data from two sources: the Copernicus Climate Data Store (CDS) and the Slovenian Environment Agency (ARSO). Three distinct climate zones in Slovenia, namely submediterranean, subcontinental and moderate climate of the hilly region are examined. Using climate indices such as CIT: 3S and HCI: Urban, the research assesses historical trends and future projections of climate suitability for various tourism activities. Key climate variables, including hot days, heavy precipitation, and snow cover, are analyzed to improve the understanding of climate exposure. The submediterranean region may experience extended tourist seasons but face challenges from heatwaves and water scarcity. The subalpine region, dependent on winter tourism, is projected to experience reduced snow cover and potential challenges for ski resorts. The subcontinental region could benefit from extended seasons for outdoor activities but may also face heat stress and extreme weather events. The study shows that climate indicators can offer valuable insights, but can also oversimplify complex climate processes. Discrepancies between CDS and ARSO data highlight potential biases, emphasizing the need for caution in interpreting absolute values. Climate projections inherently involve uncertainties, particularly for snow indicators. Ensemble modeling and careful consideration of uncertainties are essential for assessing future impacts. By addressing these considerations, this study provides a comprehensive understanding of climate change's implications for Slovenia's tourism sector and offers valuable guidance for adaptation planning.
Reference Key
pogačar2025identifying Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Pogačar, Tjaša; Kuk, Rok; Kokot, Katja; Turnšek, Maja
Journal international journal of biometeorology
Year 2025
DOI
10.1007/s00484-025-02910-x
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.