Climate Study Insights for the Tourism Sector: Analysis of Selected Pilot Regions in Croatia
Abstract
1. Introduction
- How have long-term trends in temperature, precipitation, and drought indices evolved across selected Croatian destinations?
- How do tourism practitioners perceive these climatic changes, and how do these perceptions align with measured climate data?
- How do climate variations, particularly drought and heat stress, influence tourist behavior, operational practices, and adaptation strategies in different destination types?
2. Theoretical Framework
2.1. Climate Data and Indices as Decision-Support Tools for Tourism
2.2. Stakeholder Perceptions as a Lens on Climate Impacts
3. Methodology
3.1. Climate Data Collection and Processing
3.2. Stakeholder Interviews
3.3. Application of Mixed Methods for Descriptive Comparison
- Validation (identification of convergence): identifying where stakeholder perceptions align with observed climatic trends.
- Analysis of divergences (focus on differences): detecting mismatches between datasets, e.g., cases where climatic changes are visible in data but not perceived by stakeholders, and where perceived emerging challenges are not yet reflected in long-term climate indices.
- Regional contextualization: linking climate shifts with geographical features and tourism typologies of specific destinations.
4. Results
4.1. By Air Temperature and Precipitation Data Andderived Drought Indices
4.1.1. Trends in Annul Mean Air Temperature and Annual Precipitation Totals
4.1.2. Annual Courses of Air Temperature and Precipitation for Two Successive WMO Periods
4.1.3. A Comparison of SPI-9 and sc-PDSI Indices Results
4.2. Stakeholder Perceptions
4.2.1. Climate Hazard Impacts on Tourism Destinations
4.2.2. Community Engagement
4.2.3. Current Adaptation Measures
4.2.4. Opportunities for Climate-Resilient Tourism Development
4.3. Triangulating Climate Data and Narratives with Regional Contextualization
5. Discussion
5.1. Climate Change Signals and Stakeholders Perception in Croatian Regions
5.2. Building Climate-Resilient Tourism: Evidence-Based Planning and Community Engagement
5.3. Value of Mixed-Methods Triangulation for Climate–Tourism Assessment
- Faster risk identification: quantitative data and indices efficiently flag emergent climatic hazards (e.g., rising drought frequency), while stakeholder narratives prioritize those affecting tourism operations most urgently
- Higher policy relevance and feasibility: local narratives identify operational constraints, acceptable measures, and behavioral trends, elements that are essential for designing implementable adaptation strategies
- Support for iterative adaptive management: the combined use of climate indices and stakeholder observations provides the feedback structure necessary for monitoring and adjusting adaptation measures over time.
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
| SPI Value | Category |
|---|---|
| 2.00 or more | Extremely wet |
| 1.50 to 1.99 | Severely wet |
| 1.00 to 1.49 | Moderately wet |
| −0.99 to 0.99 | Near normal |
| −1.00 to −1.49 | Moderately dry |
| −1.49 to −1.99 | Severely dry |
| −2.00 or less | Extremely dry |
| PDSI Value | PDSI Category |
|---|---|
| Above 4.00 | Extreme wet spell |
| 3.00–3.99 | Severe wet spell |
| 2.00–2.99 | Moderate wet spell |
| 1.00–1.99 | Mild wet spell |
| 0.50–0.99 | Incipient wet spell |
| 0.49 to −0.49 | Normal |
| −0.50 to −0.99 | Incipient drought |
| −1.00 to −1.99 | Mild drought |
| −2.00 to −2.99 | Moderate drought |
| −3.00 to −3.99 | Severe drought |
| Below −4.00 | Extreme drought |
| Analytical | Code | Description | Example Topics |
|---|---|---|---|
| Dimension | |||
| Climate hazard impacts | Heat stress | Perceived effects of high temperatures on tourists, activities, and operations | Activity cancelation, demand for air conditioning, altered daily schedules |
| Water scarcity | Impacts of drought and water shortages | Water restrictions, ecosystem stress, destination image | |
| Extreme events | Effects of storms, floods, wind | Infrastructure damage, safety concerns, service disruption | |
| Tourism system sensitivity | Seasonality shifts | Changes in timing and distribution of tourism demand | Decline in winter tourism, growth of shoulder seasons |
| Infrastructure vulnerability | Sensitivity of tourism infrastructure to climate hazards | Trail damage, marina repairs, beach erosion | |
| Community engagement and governance | Institutional coordination | Cooperation among DMOs, municipalities, utilities, park authorities | Integrated planning, governance gaps |
| Local participation | Role of local communities and civil society | Associations, awareness, stakeholder involvement | |
| Adaptation measures | Operational adaptation | Practical, short-term responses | Shading, hydration points, flexible scheduling |
| Strategic adaptation | Long-term planning and investments | Climate-resilient infrastructure, diversification | |
| Opportunities | Product diversification | New or expanded tourism products linked to climate change | Wellness tourism, eco-tourism, cycling |
| Sustainability pathways | Perceived potential for climate-resilient development | Renewable energy, water-saving technologies |





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| Reason | Rationale |
|---|---|
| Climate change impacts are both physical and experiential | Meteorological data captures long-term changes, while stakeholder narratives reveal impacts on tourism operations, and decision-making, which quantitative metrics alone cannot capture [25,42] |
| Narratives contain early-warning signals | Stakeholders often perceive emerging challenges (e.g., wildfire risk, water scarcity, or tourist behavior changes) before they are detectable in climatological indices, highlighting the value of local experiential knowledge [43,60] |
| Triangulation strengthens validity | Convergence between qualitative and quantitative data reduces method-specific bias and increases confidence in findings (if various independent data sources produce consistent results), while discrepancies reveal gaps in awareness, mismatches between perception and climate data, or local micro-climatic dynamics [44,61] |
| Adaptation planning require data and lived context | Narrative insights capture operational constraints, visitor behavior, and socio-cultural meanings, enabling policy recommendations grounded in real-world context [62,63] |
| International climate agreements support this approach | Mixed-methods studies are widely used in IPCC reports, climate-services research, and socio-ecological systems analysis, aligning this approach with established scientific practices [1,64] |
| Period | Variable | L1 | L2 | L3 | L4 | L5 |
|---|---|---|---|---|---|---|
| 1961–2024 | (a) Values of To for mean annual air temperature linear trends and location change | 37.1 * | 31.4 * | 40.1 * | 40.2 * | 41.5 * |
| 1961–2024 | (b) Values of To for annual precipitation total’s linear trends and location change | 7.6 | 5.7 | 3.8 | 1.9 | 3.1 |
| (a) Standardized Precipitation Index for 9-month scale (SPI-9) wetness/dryness category frequences for pilot locations for monthly Time Scale | |||||||||||||||
| Varaždin | Ličko Lešće | Rijeka | Mali Lošinj | Zadar | |||||||||||
| W | D | N | W | D | N | W | D | N | W | D | N | W | D | N | Period |
| 49 | 53 | 282 | 41 | 72 | 271 | 46 | 66 | 272 | 52 | 54 | 278 | 47 | 49 | 288 | 1961–1992 |
| 69 | 68 | 247 | 79 | 58 | 247 | 78 | 58 | 248 | 81 | 51 | 252 | 71 | 70 | 243 | 1993–2024 |
| (b) Monthly Self-calibrated Palmer Drought Severity Index (sc-PDSI) wetness/dryness category frequences for pilot locations | |||||||||||||||
| Varaždin | Ličko Lešće | Rijeka | Mali Lošinj | Zadar | |||||||||||
| W | D | N | W | D | N | W | D | N | W | D | N | W | D | N | Period |
| 79 | 23 | 282 | 102 | 33 | 249 | 97 | 24 | 263 | 71 | 41 | 272 | 130 | 26 | 228 | 1961–1992 |
| 45 | 70 | 269 | 105 | 57 | 222 | 87 | 78 | 219 | 86 | 66 | 232 | 56 | 63 | 265 | 1993–2024 |
| Topic | Ličko-Senjska County (Plitvice Region) | Međimurska County (Sveti Martin na Muri) | Primorsko-Goranska County (Krk) | Zadarska County (Pakoštane) |
|---|---|---|---|---|
| Seasonality shifts | Fewer winter visitors due to reduced snow; longer spring/autumn season | Higher summer heat reduces daytime outdoor activity; growth in wellness and gastronomy in shoulder seasons | Increased arrivals in pre- and post-season; peak summer less comfortable | Clear shift to early morning/evening activities; spring/autumn promoted for cycling, birdwatching |
| Heat stress | Afternoon activities are often canceled; forest trails less attractive | Tourists avoid outdoor activities during midday; rise in demand for indoor/cultural programs | Guests demand more shaded and air-conditioned facilities | Strongly impacts tourist comfort; air conditioning now essential |
| Water scarcity | Concern about reduced water levels in rivers and waterfalls; rationing not yet in place | Drought lowers river flow, affecting Mura/Drava activities | Seasonal shortages on islands; restrictions introduced | Acute issue in peak season; Vrana Lake ecosystem visibly stressed; water restrictions harm destination image |
| Infrastructure damage | Trails, bridges, and signage frequently damaged by floods or storms | Some damage to bike/hiking paths, managed with local budgets | Coastal promenades, marinas, beaches face frequent storm damage | Storm surges damage ports and beaches; costly repeated repairs |
| Wind/storms | Strong winds affect Senj/Karlobag safety; impact on outdoor tourism | Stronger winds reduce comfort but rarely cancel activities | Bora disrupts ferries and nautical tourism | Storm surges linked to extreme winds threaten small ports and coastal zones |
| Community engagement | Local community engaged in park management; limited capacity for broader governance | Strong local associations, but adaptation planning fragmented | Moderate; coordination between DMOs, utilities, and municipalities still weak | Stakeholders call for stronger integration between local gov’t, DMOs, and utilities |
| Adaptation measures | Trail reinforcement, visitor flow management, diversification beyond snow tourism | Shaded routes, hydration points, flexible scheduling of events | Infrastructure upgrades, water-saving policies, promotion of shoulder seasons | Pilot water-saving projects, eco-tourism, renewable energy interest |
| Opportunities | Branding Plitvice as year-round nature destination | Wellness, cultural, and eno-gastro tourism | Extending season, eco-sports, nautical diversification | Leadership in eco-tourism, sustainable water and energy solutions |
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Zovko, M.; Marković Vukadin, I.; Pandžić, K.; Likso, T. Climate Study Insights for the Tourism Sector: Analysis of Selected Pilot Regions in Croatia. Geographies 2026, 6, 17. https://doi.org/10.3390/geographies6010017
Zovko M, Marković Vukadin I, Pandžić K, Likso T. Climate Study Insights for the Tourism Sector: Analysis of Selected Pilot Regions in Croatia. Geographies. 2026; 6(1):17. https://doi.org/10.3390/geographies6010017
Chicago/Turabian StyleZovko, Mira, Izidora Marković Vukadin, Krešo Pandžić, and Tanja Likso. 2026. "Climate Study Insights for the Tourism Sector: Analysis of Selected Pilot Regions in Croatia" Geographies 6, no. 1: 17. https://doi.org/10.3390/geographies6010017
APA StyleZovko, M., Marković Vukadin, I., Pandžić, K., & Likso, T. (2026). Climate Study Insights for the Tourism Sector: Analysis of Selected Pilot Regions in Croatia. Geographies, 6(1), 17. https://doi.org/10.3390/geographies6010017

