1. Hidden fish assemblages in Mediterranean Posidonia oceanica meadows are less diverse and abundant than in the cryptic spaces of neighboring habitatsMarcelo Kovačić, Igor Glavičič, Alen Soldo, Zoran Valić, Dejan Paliska, 2026, izvirni znanstveni članek Opis: The present research provides the first quantitative comparison of the hidden fish assemblages in Posidonia meadows and neighboring non-Posidonia habitats. The data and samples were collected at sixty sampling points at three locations on the south side of Brač Island in the eastern Adriatic Sea from October 2023 to June 2025. The gradient of a significant increase in fish abundance and average fish species richness in cuboids and the increase in the frequency of occurrence of fish species were observed from habitats inside Posidonia meadows, over the Posidonia meadow edge, to the habitats outside Posidonia meadows. The primary influence on the abundance was the rarity of species from the family Gobiidae within Posidonia habitats. The markedly different species composition between the Posidonia and non-Posidonia habitats was driven by the high species richness of the family Labridae in the Posidonia habitat compared to the high species richness of the family Gobiidae in the non-Posidon The Posidonia meadow edge showed overlap with the two other habitat types, sharing a number of species. The sampling protocol developed in this study is suitable for the quantitative assessment of fishes inhabiting hidden Posidonia microhabitats and provides a methodological basis for future research. The current knowledge of fish in Mediterranean Posidonia meadows, as well as the conservation consequences of still limited knowledge, are discussed.
Ključne besede: Adriatic Sea, seagrass, cryptobenthos, benthic fishes, habitat charateristics, SCUBA diving
Objavljeno v RUP: 04.05.2026; Ogledov: 171; Prenosov: 5
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2. Image-based analysis of tourist destination perceptions : a deep learning and spatial–temporal study in SloveniaDejan Paliska, Aleksandra Brezovec, Gorazd Sedmak, 2026, izvirni znanstveni članek Opis: In the context of fierce competition among tourist destinations and increasing difficulty of differentiation, developing a strong destination image is particularly important. A comprehensive understanding of how tourists perceive destinations through user-generated images can help destination management organizations (DMOs) design more effective marketing strategies. This is especially relevant for destinations with spatially and temporally dispersed tourism resources and strong seasonal dynamics. This paper analyses inbound tourist photographs by combining deep learning techniques with spatial analysis to examine the spatial and temporal distribution of photo scenes and shifts in scene preferences among tourists. The study focuses on three distinct types of destinations in Slovenia—urban (Ljubljana), nature-based/alpine (Bled), and coastal (Piran, Izola, Koper)—providing insights into how image-based spatial scene analysis can inform destination marketing strategies. The results reveal significant spatial and temporal heterogeneity of scenes across micro destinations. Nature-based destinations exhibit lower topic entropy and fewer topic changes per user, whereas urban destinations show higher variability, with users changing topics on average five times per day. Seasonal effects are moderate: nature-based destinations display lower topic entropy in winter and higher in autumn and spring, coastal destinations show less pronounced seasonal variation, and urban destinations show almost none. These findings provide valuable insights into the spatial and temporal distribution of tourist interests and offer practical guidance for DMOs in strategic marketing planning.
Ključne besede: tourist destination image, user-generated content, deep learning, spatial-temporal analysis, destination marketing strategy
Objavljeno v RUP: 18.02.2026; Ogledov: 450; Prenosov: 8
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3. Tourist accommodation choices in nature-based destinations : the case of geotourism destination Kras/CarsoDejan Paliska, Gorazd Sedmak, 2025, izvirni znanstveni članek Opis: This paper explores the relationship between accommodation choices and visitor interests, and characteristics in the emerging cross-border Karst Geopark, a geologically rich nature-based destination. It examines how demographics, interests, and activity prefer- ences influence lodging decisions. Findings indicate that older visitors, women, and repeat tourists favor agritourism, whereas first-time and cross-border travelers prefer private rooms for greater flexibility. Additionally, interests in geotourism and cycling significantly shape accommodation preferences. The study highlights the need for destination man- agers and accommodation providers to tailor offerings to visitor expectations, enhancing tourism benefits. Methodological limitations, including sample imbalance and overlooked external factors, are discussed, with recommendations for future research to refine pre- dictive models and incorporate supply-side attributes. These insights provide valuable guidance for policymakers and tourism stakeholders in developing targeted, sustainable accommodation strategies.
Objavljeno v RUP: 02.02.2026; Ogledov: 382; Prenosov: 3
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