This study aims to investigate how national parks, identified as remarkable and, therefore, worthy of the trip, are visited and experienced. The main objective of this study was to explore the influence of memorable tourism experiences on environmentally responsible behavior, satisfaction, and behavioral intentions as its outcome. By giving an account of how national parks may be experienced by nature-based tourists, its main focus is on the concept of memorable nature-based tourist experience (MNBTE). The data for this research were collected through a survey from tourists visiting national parks in Serbia. The results demonstrate the significance of MNBTE as an important relationship mediator. The study’s key contributions are the extension of the memorable tourism experience construct and the inclusion of tourist satisfaction, intention to revisit, recommend, share the experience, and the environmental responsibility of tourists. Practical implications and potential future research approaches are also highlighted in the conclusion.

Flood frequency analysis was performed on annual maxima series for 90 years (1928–2017) of discharge data recorded at the Sremska Mitrovica gauging station on the Sava River. The three-parameter distributions (PearsonIII, Log-PearsonIII) are more suitable for modelling annual maxima than distribution functions with only two parameters (Normal, Log-normal, Gumbel). The Mann–Kendall test statistic indicated that there is no statistically significant trend identified in annual maximum discharges or average annual discharges. A positive increasing trend was observed in annual temperature, while annual precipitation shows a decreasing trend which is non-significant. The seasonality analysis found a statistically non-significant weak negative trend in discharge in spring, summer and autumn and a statistically non-significant weak positive trend in winter. During winter, spring, and summer a non-significant negative trend in precipitation was observed, while autumn has experienced a statistically significant increasing trend. Temperatures show a positive trend in all seasons, but only temperatures during the warm period show a statistically significant increase. The results demonstrate that decreasing discharges of the Sava River at the Sremska Mitrovica gauging station are mainly the consequence of decreasing precipitation and increasing temperature (increasing evaporation), which is consistent with the results of other studies of the region.

Floods are one of the most common natural hazards and as such, they are causing a great loss of human life as well as great economic damages. Flood frequency analysis (FFA) is still an active...

Soil erosion assessment enables the identification of manifested soil erosion categories, their spatial distribution and the relationship between soil erosion and land use patterns. The integrated approach of the RUSLE method and GIS tools was used in estimating soil erosion rates in Bačka (Serbia). Previous research of soil erosion intensity in the study area was last performed 50 years ago. The spatial distribution of the calculated erosive factors shows the diversity of erosive conditions. The results indicate that the average annual soil loss is from 0 to 28.6 t ha–¹ yr–¹. The soil erosion is particularly pronounced in the area of the Titel loess plateau (up to 28.6 t ha–¹ yr–¹). The results indicate the diversity of the erosion rates depending on the land use. Multiple correlation indicates that the LS factor has the largest effect on erosion (correlation coefficient 1). The results in this paper can be used in planning future conservation measures, especially if the recent field measurements of soil erosion are added. This research is also important since the RUSLE method represents a new approach in determining the soil erosion intensity.

Droughts are natural hazards that endanger the safety of population, their property and can create serious agricultural and ecological problems over the affected region. An analysis of the Standardized Precipitation Index (SPI) was performed by using the database of sixty years (1956-2016) of the monthly precipitation for the nine meteorological stations in Vojvodina region (Serbia). The SPI has been used for drought determination. The present study investigates the application of k-means clustering methods on the SPI at the 12-month timescale values to detect distinct drought clusters. For the purpose of determining the optimal number of clusters, the Gap Statistics was used. The results show that the total of four clusters (regions) can be identified in Vojvodina: three stations are listed in region 1 (Sombor, Palić, and Novi Sad), two stations in region 2 (Bač and Sremska Mitrovica), region 3 is a single-station region (Bela Crkva), while in region 4, three stations are grouped (Kikinda, Zrenjanin, and Vršac). The Mann-Kendall test has shown that only in region 1 there is a trend in SPI values ranging from arid towards more humid conditions in the 1956-2016 period. In other regions no trend was observed in the data series. These results could contribute to water resources and agricultural planning and management in Vojvodina region and also confirm the usefulness of clustering methods for drought regionalization.