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Ecological Evaluation of the Sustainability of City Forests
(Basel : MDPI, 2023)
The Košutnjak forest in the city of Belgrade, Serbia, with an area of 259 ha, provides
ecological and social benefits to its inhabitants, but its composition has changed in the last 20 years: forest areas have decreased, ...
Analysis of the Universal Thermal Climate Index during heat waves in Serbia
(Copernicus Gesellschaft Mbh, Gottingen, 2020)
The objective of this paper is to assess the bioclimatic conditions in Serbia during summer in order to identify biothermal heat hazard. Special emphasis is placed on the bioclimatic index UTCI (Universal Thermal Climate ...
GIS-Based Forest Fire Susceptibility Zonation with IoT Sensor Network Support, Case Study—Nature Park Golija, Serbia
(MDPI, 2021)
The territory of the Republic of Serbia is vulnerable to various natural disasters, among which forest fires stand out. In relation with climate changes, the number of forest fires in Serbia has been increasing from year ...
The pygidial gland secretion of Laemostenus punctatus (Coleoptera, Carabidae): a source of natural agents with antimicrobial, anti-adhesive, and anti-invasive activities
(Frontiers Media SA, 2023)
In the present study, we investigated in vitro the antimicrobial activity of the pygidial gland secretion of the guanophilic ground beetle Laemostenus (Pristonychus) punctatus (Dejean, 1828) and some of its chemicals against ...
Supporting Tourism by Assessing the Predictors of COVID-19 Vaccination for Travel Reasons
(Basel : MDPI, 2022)
The persistence of the SARS-CoV-2 virus imposed vaccination passports for traveling in most countries. We investigated psychological factors that predict the intention to vaccinate for travel. In a cross-sectional study, ...
Testing a New Ensemble Vegetation Classification Method Based on Deep Learning and Machine Learning Methods Using Aerial Photogrammetric Images
(Frontiers Media SA, 2022)
The objective of this research is to report results from a new ensemble method for
vegetation classification that uses deep learning (DL) and machine learning (ML)
techniques. Deep learning and machine learning architectures ...
Radionuclides and Metals in the Parks of the City of Belgrade, Serbia: Spatial Distribution and Health Risk Assessment
(Basel : MDPI, 2022)
In urban areas, forest patches and parks are usually the places where people spend most of their time outdoors. Because of poor environmental protection policy and insufficient investment in industry and energy, Serbia is ...
Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia
(Basel : MDPI, 2023)
The erosion potential model was applied to estimate the soil erosion status of rural settlements during the years 1971 and 2011. We used univariate and bivariate local Moran’s I indices to
detect and visualize the spatial ...
Wind energy potential for the electricity production - Knjazevac Municipality case study (Serbia)
(Elsevier, Amsterdam, 2021)
Geospatial potential for harvesting wind energy is not an easy task to perform in conditions of deficiency of accurate data in remote and large areas (macro to medium locations). There are different methodologies available ...
Deforestation as a Cause of IncreasedSurface Runoff in the Catchment:Remote Sensing and SWAT Approach—A Case Study of Southern Serbia
(Frontiers Media SA, 2022)
In the past two decades, the South part of Serbia has been affected by exploitive and illegal logging. As this trend is not decreasing to this day, there is a need to determine the area where this logging occurred precisely. ...