In December 2019, the virus SARS-CoV-2 responsible for the COVID-19 pandemic was detected in the Chinese city of Wuhan. The virus started to spread from China and dispersed over the rest of the world. In March 2020, WHO (World Health Organization) declared COVID-19 a pandemic. The transmission path of the pandemic was accelerated by different types of transportation. With complete analysis of spatial data, population density, types of traffic networks, and their properties, the spatial distribution of COVID-19 was estimated. GIS (Geographical Information System), numerical methods, and software for network analysis were used in this research to model scenarios of virus distribution on a global scale. The analyzed data included air, railway, marine, and road traffic. In the pandemic research, numerous models of possible trajectory of viruses can be created. Many have a stochastic character. This study includes all countries in the world affected by the COVID-19 up to date. In this study, GIS methods such as buffer, interpolations, and numerical analysis were used in order to estimate and visualize ongoing COVID-19 pandemic situation. According to the availability of new data, trajectory of virus paths was estimated. On the other hand, sparsely populated areas with poorly developed and small traffic networks (and isolated island territories) tend to be less or not affected as shown by the model. This low-cost approach can be used in order to define important measures that need to be addressed and implemented in order to successfully mitigate the implications of COVID-19 not only on global, but local and regional scales as well.

Hydrological heritage is a relatively new concept in the field of geosite assessment. The principal aim of this study is to apply M-GAM (Modified geosite assessment model) for comparative analysis of the Krupaja spring and the Žagubica (Mlava) spring, located in Homolje area, in Eastern Serbia. According to the classification of geosites of Institute for Nature Conservation of Serbia, these sites are on the list of protected sites (“hydro(geo)logical” heritage sites) of extraordinary national importance; however, they still have not gained necessary recognition in Serbia. Thus, their assessment according to different target groups should provide a clearer picture of their current condition. As M-GAM considers that not all indicators for evaluation of geosites are of the same importance, this paper applies two methods for comparing and determining the importance of indicators and subindicators in the model (Analytical-hierarchy process (AHP) and descriptive statistics conducted by SPSS). Also, it is assumed that different target groups will give different importance to some indicators in the model, which would result in various evaluation scores for the same geosites. The paper also provides a comparative analysis of the assessment carried out by two different target groups – potential geotourists and geoexperts. The results obtained by AHP and descriptive statistics are quite similar, which confirms the reliability of respondents’ answers and the results gained. The analyzed sites are differently positioned in the evaluation matrix, and implications are further discussed in the paper.

Roe deer (Capreolus capreolus L.) have greatly expanded in both distribution and abundance during the last few decades, and are the most abundant cervids in Europe today. The aim of this paper is to determine the factors that have the most considerable impact on roe deer numbers in the Vojvodina region (North Serbia). Environmental (area in ha, total area of forest and total area of meadows and pastures in hunting ground) and anthropogenic (number of registered hunters, number of hunting sections, number of gamekeepers and roads in km on 1,000 ha) factors had been shown to influence the number of roe deer in Vojvodina region. A multiple regression analysis was carried out as the main statistical approach. The mapping of certain parameters was done using ArcGIS 9.2 software in order to establish the relation between the roe deer population and the different environmental and anthropogenic conditions. The results signify that the roe deer number dependency in the Vojvodina region is a very complex and multi-factorial phenomenon, strongly influenced by human induced modifications. The effect of natural and human-induced habitat conditions on number of roe deer: case study of Vojvodina, Serbia 59

Special nature reserve "Stari Begej-Carska bara" is one of the last remaining wetlands in Vojvodina. Essential natural assets-hydrographic characteristics, have undergone significant changes, because of which the Reserve is still endangered even today. To overcome these obstacles in the management of the Reserve, we have to turn to the idea of sustainable development, which should in addition to the ecological criteria comprise socio-cultural and economic criteria.

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