Impacts of climate change on mountain tourism: a review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Mountain landscapes and communities are highly sensitive and vulnerable to climate change. Tourism in mountain regions is highly dependent on natural resources and attractions which are very sensitive to climatic changes. This systematic review analyzing 276 papers, provides a comprehensive analysis of scientific literature dealing with climate change impacts on mountain tourism. While the impacts on the snow season are predominantly negative, impacts to summer season activities range from positive to negative. Contradictory results and lack of research in some regions and tourism activities means the overall impact is far from clear. We identified seven key knowledge gaps: underrepresentation of studies for South America and Africa, lack of appropriate data and indicators, an all-season perspective and investigation of opportunities, economic and socio-political consequences for mountain communities, the need for better science communication, and a lack of studies addressing liability and regulatory risks. Increasing our multidisciplinary understanding of potential climate impacts on mountain tourism and engaging stakeholders to prepare for the projected changes will help local populations in mountain communities create applicable and effective climate adaptation strategies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it