Abstract:The Sitno Natura 2000 Site covers an area of 935,56 hectares. The Sitno region is significant due to the number of rare and endangered species of plants, and as a result is considered a location of great importance to the maintenance of floral gene pools. The study area suffers human impacts in the form of tourism. The main purpose of this study is to the measure landscape elements, determine the ecological significance of habitats within the Sitno area, and from this data, organize the study area into conservation zones. The results of this landscape quantification are numerical values that can be used to interpret the quality of ongoing ecological processes within individual landscape types. Interpretation of this quantified data can be used to determine the ecological significance of landscapes in other study areas. This research examines the habitats of Natura 2000 Sites by a set of landscape metrics for habitat area, size, density, and shape, such as Number of patches (
Urban climate monitoring system (UCMS) was established in Novi Sad (Serbia) in 2014 based on the Local Climate Zones (LCZs) classifi cation system, GIS model calculations and fi eld work. Seven built and two land cover LCZ types were delineated and 27 stations equipped with air temperature and relative humidity sensors were distributed across all LCZs. Suitability of the developed monitoring system for human outdoor thermal comfort research in diff erent LCZs of the city and its surroundings was investigated during a heat wave period using Physiologically Equivalent Temperature (PET) index. During the daytime (night-time) the highest thermal loads are present in open midrise (compact midrise) LCZ, while the most comfortable is LCZ A (dense trees) during the whole day. In general, the highest thermal loads are obtained in midrise, followed by low-rise, sparsely built, low plants and dense trees LCZs. All LCZs (except LCZ A-dense trees) had higher PET when compared to LCZ D (LCZ D-low plants) during evening and nocturnal hours with maximum diff erence of 7.1 °C (00 UTC) between LCZ 2 (compact midrise) and LCZ D (low plants). Contrary to this, LCZ D (low plants) had higher PET compared to the majority of LCZs during the daytime with maximum diff erence of 8.5 °C (9 UTC) when compared to LCZ A (dense trees). Furthermore, the smallest thermal comfort diff erences during heat wave occurred between LCZs with similar structure (i.e. open low-rise and large low-rise, compact midrise and compact low-rise) and cover (i.e. sparsely built and low plants).
The aim of this paper is to determine the weakest point of Serbian destination competitiveness as a tourist destination in comparation with its main competitors. The paper is organised as follows. The short introduction of the previous research on the destination competitiveness is followed by description of the Integrated model of destination competitiveness that was used as the main reference framework. Section three is devoted to the description of the previous studies on competitiveness of Serbian tourism, while section four outlines the statistical methodology employed in this study and presents and interprets the empirical results. The results showed that Serbia is more competitive in its natural, cultural and created resources than in destination management while, according to the Integrated model, Serbia is less competitive in demand conditions that refer to the image and awareness of the destination itself.
This paper presents development and implementation of an automated urban climate monitoring system in mid-sized European city Novi Sad (Vojvodina, Serbia). The urban climate monitoring network contains 27 stations (25 in urban area and 2 in non-urbanized environment). To determine the representativeness station cites we used Stewart-Oke Local Climate Zones (LCZ) classification, authors' local knowledge and field surveys to delineate urban area and surrounding environments. For LCZ determination we used Lelovics-Gál automated GIS (Geographic Information System) method. Stations measure the values and every 10 minutes send the readings related to air temperature, relative humidity, battery voltage, status value and other technical information to the main server.In order for the data stored in database server to be ready for usage in urban climate studies and for analyzing entire systems' work, we created Urban Path System tool (UP-SYS_tool) and URBAN-PATH Portal. Furthermore, the automatic data procession system visualizes the measured values from urban climate monitoring network in Novi Sad and informs the citizens about the most recent temperature, relative humidity and thermal comfort measurements.These, in situ measurements should provide long-term time series in order to highlight the thermal differences among different urban structures in city/es (intra-urban and inter-urban comparisons), and contribute to better understanding of urban climate in the urban canopy layer.
Conventional approach in the investigation of urban climate of Novi Sad has been done through simple urban-rural air temperature differences. These inter-urban air temperature differences showed how much is city warmer than its surroundings, so-called urban heat island (UHI) effect. Temperature differences exist inside the city as well. To get to know the intensity of these intra-urban temperature differences, installation of meteorological stations in different parts of the city or mobile measurements are needed. In 2012 started IPA HUSRB project made by Department of Climatology and Landscape Ecology (University of Szeged) and Faculty of Sciences (University of Novi Sad). The main goal of this project is the development and installation of wireless urban meteorological network (temperature and relative humidity sensors) in Szeged and Novi Sad. Before the deployment of sensors, necessary metadata about each potential urban meteorological station site needs to be collected. Field work, collected metadata and Stewart and Oke climate-based classification system from 2012 were used for defining the potential urban meteorological stations sites on the territory of the city of Novi Sad (Serbia) and its surroundings.
In this article we examine the gender differences among hotel employees in service orientation and job satisfaction. To determine these differences, we used a service orientation scale (SOS), developed by Dienhart, Gregoire, Downey and Knight and a job satisfaction scale developed by Lytle. Our assumptions were that there would be significant gender differences in service orientation and job satisfaction. Our research proved factor structures of the two scales we used. Specifically, we showed gender differences in two of three factors, concerning service orientation (organisational support and customer focus), and no gender differences in job satisfaction. Our study revealed that organisational support is more important to men because they value more structured labour and service procedures than women (t = 2.21, df = 110, p = 0.03). In contrast, customer focus is more relevant to a women because it is more crucial to see satisfied guests, as well as having a good relationship with them (t = 2.07, df = 110, p = 0.04). It is of great importance for hotel management to have in mind that male and female employees respond and behave differently depending on the stimuli in the work environment and their satisfaction varies because of it.
Inland excess waters cause numerous considerable problems in economy, society and environment on a low lying parts of Serbia. The SEERISK methodology has been used for assessing the risk of inland excess water in Kanjiža municipality in Serbia. By applying the GIS tools, inland excess areas were extracted and categorization of different hazards level was done for following cover types: vegetable, orchard, crop, vineyard, grassland and forest. Analysing the satellite images for the selected period (March 2011, August 2012, April 2013 and June 2013), results show that four occurrences of inland excess water were recorded at 0.07% of territory, three occurrences at 0.53% of territory, two occurrences at 3.86%, one occurrence at 9.26% and there were no occurrences at 86.28% of territory. As the final result, the risk map shows four inland excess water risk level zones ranked from “Low”, “Medium”, “High” to “Very high” which can be used by the local authorities in order to design strategies for reducing negative effects from inland excess water hazard.
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