ArticleInternational journal of biometeorology2025
Identifying the tourism sector's exposure to climate change utilizing two different climate datasets: the case of three climatically diverse locations in Slovenia.
Article in International journal of biometeorology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.