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Dr. Péter Szilassi
University of Szeged, Department of Physical Geography and Geoinformatics

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0 Landscape Analysis
0 Landscape Ecology
0 Landscape Planning
0 land cover change
0 Landscape metrics

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land cover change
Landscape metrics
Landscape Ecology
Landscape Planning

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Project

Project Goal: call for papers for publishing materials in this research field.

Starting Date:10 December 2019

Current Stage: open until 2020 november

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Journal article
Published: 17 March 2021 in Land
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The dramatic decline of the abundance of farmland bird species can be related to the level of land-use intensity or the land-cover heterogeneity of rural landscapes. Our study area in central Europe (Hungary) included 3049 skylark observation points and their 600 m buffer zones. We used a very detailed map (20 × 20 m minimum mapping unit), the Hungarian Ecosystem Basemap, as a land-cover dataset for the calculation of three landscape indices: mean patch size (MPS), mean fractal dimension (MFRACT), and Shannon diversity index (SDI) to describe the landscape structure of the study areas. Generalized linear models were used to analyze the effect of land-cover types and landscape patterns on the abundance of the Eurasian skylark (Alauda arvensis). According to our findings, the proportions of arable land, open sand steppes, closed grassland patches, and shape complexity and size characteristics of these land cover patches have a positive effect on skylark abundance, while the SDI was negatively associated with the skylark population. On the basis of the used statistical model, the abundance density (individuals/km*) of skylarks could be estimated with 37.77% absolute percentage error and 2.12 mean absolute error. We predicted the skylark population density inside the Natura 2000 Special Protected Area of Hungary which is 0–6 individuals/km* and 23746 ± 8968 skylarks. The results can be implemented for the landscape management of rural landscapes, and the method used are adaptable for the density estimation of other farmland bird species in rural landscapes. According to our findings, inside the protected areas should increase the proportion, the average size and shape complexity of arable land, salt steppes and meadows, and closed grassland land cover patches.

ACS Style

Nándor Csikós; Péter Szilassi. Modelling the Impacts of Habitat Changes on the Population Density of Eurasian Skylark (Alauda arvensis) Based on Its Landscape Preferences. Land 2021, 10, 306 .

AMA Style

Nándor Csikós, Péter Szilassi. Modelling the Impacts of Habitat Changes on the Population Density of Eurasian Skylark (Alauda arvensis) Based on Its Landscape Preferences. Land. 2021; 10 (3):306.

Chicago/Turabian Style

Nándor Csikós; Péter Szilassi. 2021. "Modelling the Impacts of Habitat Changes on the Population Density of Eurasian Skylark (Alauda arvensis) Based on Its Landscape Preferences." Land 10, no. 3: 306.

Journal article
Published: 01 January 2021 in Land
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The species richness and biodiversity of vegetation in Hungary are increasingly threatened by invasive plant species brought in from other continents and foreign ecosystems. These invasive plant species have spread aggressively in the natural and semi-natural habitats of Europe. Common milkweed (Asclepias syriaca) is one of the species that pose the greatest ecological menace. Therefore, the primary purpose of the present study is to map and monitor the spread of common milkweed, the most common invasive plant species in Europe. Furthermore, the possibilities to detect and validate this special invasive plant by analyzing hyperspectral remote sensing data were investigated. In combination with field reference data, high-resolution hyperspectral aerial images acquired by an unmanned aerial vehicle (UAV) platform in 138 spectral bands in areas infected by common milkweed were examined. Then, support vector machine (SVM) and artificial neural network (ANN) classification algorithms were applied to the highly accurate field reference data. As a result, common milkweed individuals were distinguished in hyperspectral images, achieving an overall accuracy of 92.95% in the case of supervised SVM classification. Using the ANN model, an overall accuracy of 99.61% was achieved. To evaluate the proposed approach, two experimental tests were conducted, and in both cases, we managed to distinguish the individual specimens within the large variety of spreading invasive species in a study area of 2 ha, based on centimeter spatial resolution hyperspectral UAV imagery.

ACS Style

Levente Papp; Boudewijn Van Leeuwen; Péter Szilassi; Zalán Tobak; József Szatmári; Mátyás Árvai; János Mészáros; László Pásztor. Monitoring Invasive Plant Species Using Hyperspectral Remote Sensing Data. Land 2021, 10, 29 .

AMA Style

Levente Papp, Boudewijn Van Leeuwen, Péter Szilassi, Zalán Tobak, József Szatmári, Mátyás Árvai, János Mészáros, László Pásztor. Monitoring Invasive Plant Species Using Hyperspectral Remote Sensing Data. Land. 2021; 10 (1):29.

Chicago/Turabian Style

Levente Papp; Boudewijn Van Leeuwen; Péter Szilassi; Zalán Tobak; József Szatmári; Mátyás Árvai; János Mészáros; László Pásztor. 2021. "Monitoring Invasive Plant Species Using Hyperspectral Remote Sensing Data." Land 10, no. 1: 29.

Journal article
Published: 20 December 2020 in Urban Forestry & Urban Greening
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A liveable city requires urban green spaces (UGS) in many locations, since such spaces have a direct impact on the quality of life and overall well-being of city dwellers. UGS provision analyses therefore have been attracting a number of researchers, practitioners and decision makers for recent years using various methodologies. In this study, we conduct reference UGS provision analysis using accurate input data, calculating the population with access to a UGS within fifteen minutes of walking, with a one-minute resolution. These results are employed as reference for quantifying the spatial accuracy of buffer zone-based isochrone maps and the overall (thematic and scale) accuracy of the European Environmental Agency’s Urban Atlas population database in UGS provision estimation. The estimated differences between the Urban Atlas and the reference data in UGS provision assessment are 11.8 % (6861 people) within 10 min and 11.8 % (7050 people) within 15 min of walking. The difference between estimates from buffer zone-based isochrone maps and the reference is 2.1 % (1479 people) within 10 min and 0.1 % (77 people) within 15 min of walking. Further statistical analyses reveal that the spatial accuracy (correlation coefficient with reference = 0.7878) of the buffer zone-based map’s impact on the result of UGS provision estimation is more than the overall accuracy of the Urban Atlas’ population database (correlation coefficient with reference = 0.9798). These results may potentially enhance the knowledge about the limitations, usefulness and reliability of the buffer zone-based isochrone maps and the European-scale land cover and population dataset in spatial analyses of UGS provision. The results of this study can be used for improving the accuracy of buffer zone- and Urban Atlas-based UGS provision mapping estimates at local and regional scales.

ACS Style

Ronald A. Kolcsár; Nándor Csikós; Péter Szilassi. Testing the limitations of buffer zones and Urban atlas population data in urban green space provision analyses through the case study of Szeged, Hungary. Urban Forestry & Urban Greening 2020, 57, 126942 .

AMA Style

Ronald A. Kolcsár, Nándor Csikós, Péter Szilassi. Testing the limitations of buffer zones and Urban atlas population data in urban green space provision analyses through the case study of Szeged, Hungary. Urban Forestry & Urban Greening. 2020; 57 ():126942.

Chicago/Turabian Style

Ronald A. Kolcsár; Nándor Csikós; Péter Szilassi. 2020. "Testing the limitations of buffer zones and Urban atlas population data in urban green space provision analyses through the case study of Szeged, Hungary." Urban Forestry & Urban Greening 57, no. : 126942.

Journal article
Published: 31 October 2020 in Remote Sensing
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The use of an object-based image analysis (OBIA) method has recently become quite common for classifying high-resolution remote-sensed images. However, despite OBIA’s segmentation being equally useful for analysing medium-resolution images, it is not used for them as often. This study aims to analyse the effect of landscape metrics that have not yet been used in image classification to provide additional information for land cover mapping to improve the thematic accuracy of satellite image-based land cover mapping. To this end, multispectral satellite images taken by Landsat 8 Operational Land Imager (OLI) and Sentinel-2 Multispectral Instrument (MSI) during three different seasons in 2017 were analysed. The images were segmented, and based on these segments, four patch-level landscape metrics (mean patch size, total edge, mean shape index and fractal dimension) were calculated. A random forest classifier was applied for classification, and the Coordination of Information on the Environment Land Cover (CLC) 2018 database was used as reference data. According to the results, landscape metrics both with and without segmentation can significantly improve the overall accuracy of the classification over classification based on spectral values. The highest overall accuracy was achieved using all data (i.e., spectral values, segmentation, and metrics).

ACS Style

András Gudmann; Nándor Csikós; Péter Szilassi; László Mucsi. Improvement in Satellite Image-Based Land Cover Classification with Landscape Metrics. Remote Sensing 2020, 12, 3580 .

AMA Style

András Gudmann, Nándor Csikós, Péter Szilassi, László Mucsi. Improvement in Satellite Image-Based Land Cover Classification with Landscape Metrics. Remote Sensing. 2020; 12 (21):3580.

Chicago/Turabian Style

András Gudmann; Nándor Csikós; Péter Szilassi; László Mucsi. 2020. "Improvement in Satellite Image-Based Land Cover Classification with Landscape Metrics." Remote Sensing 12, no. 21: 3580.

Journal article
Published: 16 January 2020 in Sustainability
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The increasing use of biomass for energy production is reshaping landscapes into energy landscapes. Our study aims to analyze the impact of the biogas energy landscape on the abundance of Eurasian skylark. The biogas power plants have a high impact on the landscape, because of the energy crops like silage maize and rape. We analyze land-use and land-cover heterogeneity in connection with this bird species in the Federal State of Schleswig-Holstein. Three databases are used: abundance data of a typical farmland bird (Eurasian skylark), Corine land cover, and statistical land-use data from the German Agricultural Structure Survey. Several spatial analyses and statistical analyses were conducted. Generalized linear models are used with model averaging and predicted marginal effects were calculated. We estimate the changes in individuals per km2 by considering six crop types and the Shannon Diversity Index (SDI). The Eurasian skylark abundance has a significant negative correlation with the area of the inland wetlands, the Shannon Diversity Index (SDI), permanent crops, silage maize, and rape. We found significant positive correlation with the pasture, potato, and wheat. The replacement of pastures, Eurasian skylarks’ preferred habitat, with energy crops, mostly silage maize, and the ongoing homogenization of the landscape, negatively affected this species’ distribution in the study area.

ACS Style

Nándor Csikós; Péter Szilassi. Impact of Energy Landscapes on the Abundance of Eurasian Skylark (Alauda arvensis), an Example from North Germany. Sustainability 2020, 12, 664 .

AMA Style

Nándor Csikós, Péter Szilassi. Impact of Energy Landscapes on the Abundance of Eurasian Skylark (Alauda arvensis), an Example from North Germany. Sustainability. 2020; 12 (2):664.

Chicago/Turabian Style

Nándor Csikós; Péter Szilassi. 2020. "Impact of Energy Landscapes on the Abundance of Eurasian Skylark (Alauda arvensis), an Example from North Germany." Sustainability 12, no. 2: 664.

Journal article
Published: 12 December 2019 in Plants
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For developing global strategies against the dramatic spread of invasive species, we need to identify the geographical, environmental, and socioeconomic factors determining the spatial distribution of invasive species. In our study, we investigated these factors influencing the occurrences of common milkweed (Asclepias syriaca L.), an invasive plant species that is of great concern to the European Union (EU). In a Hungarian study area, we used country-scale soil and climate databases, as well as an EU-scale land cover databases (CORINE) for the analyses. For the abundance data of A. syriaca, we applied the field survey photos from the Land Use and Coverage Area Frame Survey (LUCAS) Land Cover database for the European Union. With machine learning algorithm methods, we quantified the relative weight of the environmental variables on the abundance of common milkweed. According to our findings, soil texture and soil type (sandy soils) were the most important variables determining the occurrence of this species. We could exactly identify the actual land cover types and the recent land cover changes that have a significant role in the occurrence the common milkweed in Europe. We could also show the role of climatic conditions of the study area in the occurrence of this species, and we could prepare the potential distribution map of common milkweed for the study area.

ACS Style

Péter Szilassi; Gábor Szatmári; László Pásztor; Mátyás Árvai; József Szatmári; Katalin Szitár; Levente Papp. Understanding the Environmental Background of an Invasive Plant Species (Asclepias syriaca) for the Future: An Application of LUCAS Field Photographs and Machine Learning Algorithm Methods. Plants 2019, 8, 593 .

AMA Style

Péter Szilassi, Gábor Szatmári, László Pásztor, Mátyás Árvai, József Szatmári, Katalin Szitár, Levente Papp. Understanding the Environmental Background of an Invasive Plant Species (Asclepias syriaca) for the Future: An Application of LUCAS Field Photographs and Machine Learning Algorithm Methods. Plants. 2019; 8 (12):593.

Chicago/Turabian Style

Péter Szilassi; Gábor Szatmári; László Pásztor; Mátyás Árvai; József Szatmári; Katalin Szitár; Levente Papp. 2019. "Understanding the Environmental Background of an Invasive Plant Species (Asclepias syriaca) for the Future: An Application of LUCAS Field Photographs and Machine Learning Algorithm Methods." Plants 8, no. 12: 593.

Journal article
Published: 01 August 2019 in Acta Ornithologica
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The European avifauna on agricultural land has been permanently diminished over the past few decades. This phenomenon is clearly connected with agricultural intensification and the recent land cover changes. The main aims of this study were to identify the land cover preferences of a farmland bird species, the Eurasian Skylark Alauda arvensis in Hungary and investigate the link between the recent trend of the abundance of this species and the land-cover change. We employed GIS and statistical methods to assess the link between the abundance of this species based on the Hungarian common bird monitoring database (MMM) and the spatial proportion of the Corine Land Cover (CLC) categories in different buffer zones with 300, 600 and 1200 m from the observation points. Based on the significant statistical connections, we could identify and select land cover categories that serve as habitats and land cover categories that this bird species does not inhabit. The land cover preference of the Eurasian Skylark, in case of some land cover category, is depending on the grain scale (circle radius distance from the observation points). In analyses arable lands has been omitted because this land cover type is the well-known habitat of the species. According to our results, the Eurasian Skylark prefers permanent crops (vineyards, fruit trees and berry plantations) inside 600m and 1200m buffer zones, and pastures inside 1200m buffer zones, while it does not prefer urban fabric areas and heterogeneous agricultural, forests, and wetlands or water bodies inside 300m and 600m, scrub and/or herbaceous vegetation associations (transitional woodland-shrub and natural grassland areas) inside the 600m and 1200m radius buffer areas. The identification of these regional (European level) land-cover categories allowed us to analyse the recent (1990–2012) and the predicted (2006–2050) characteristics of habitat changes of this bird species, associated with land cover change. Based on our results, we could estimate that the Skylark habitat will decrease by 188 560 ha between 2006–2050 in Hungary.

ACS Style

Peter Szilassi; Nandor Csikos; Robert Galle; Tibor Szep. Recent and Predicted Changes in Habitat of the Eurasian Skylark Alauda arvensis Based on the Link between the Land Cover and the Field Survey Based Abundance Data. Acta Ornithologica 2019, 54, 59 -71.

AMA Style

Peter Szilassi, Nandor Csikos, Robert Galle, Tibor Szep. Recent and Predicted Changes in Habitat of the Eurasian Skylark Alauda arvensis Based on the Link between the Land Cover and the Field Survey Based Abundance Data. Acta Ornithologica. 2019; 54 (1):59-71.

Chicago/Turabian Style

Peter Szilassi; Nandor Csikos; Robert Galle; Tibor Szep. 2019. "Recent and Predicted Changes in Habitat of the Eurasian Skylark Alauda arvensis Based on the Link between the Land Cover and the Field Survey Based Abundance Data." Acta Ornithologica 54, no. 1: 59-71.

Journal article
Published: 29 April 2019 in Sustainability
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The increasing use of biogas, produced from energy crops like silage maize, is supposed to noticeably change the structures and patterns of agricultural landscapes in Europe. The main objective of our study is to quantify this assumed impact of intensive biogas production with the example of an agrarian landscape in Northern Germany. Therefore, we used three different datasets; Corine Land Cover (CLC), local agricultural statistics (Agrar-Struktur-Erhebung, ASE), and data on biogas power plants. Via kernel density analysis, we delineated impact zones which represent different levels of bioenergy-generated transformations of agrarian landscapes. We cross-checked the results by the analyses of the land cover and landscape pattern changes from 2000 to 2012 inside the impact zones. We found significant correlations between the installed electrical capacity (IC) and land cover changes. According to our findings, the landscape pattern of cropland—expressed via landscape metrics (mean patch size (MPS), total edge (TE), mean shape index (MSI), mean fractal dimension index (MFRACT)—increased and that of pastures decreased since the beginning of biogas production. Moreover, our study indicates that the increasing number of biogas power plants in certain areas is accompanied with a continuous reduction in crop diversity and a homogenization of land use in the same areas. We found maximum degrees of land use homogenisation in areas with highest IC. Our results show that a Kernel density map of the IC of biogas power plants might offer a suitable first indicator for monitoring and quantifying landscape change induced by biogas production.

ACS Style

Nandor Csikos; Malte Schwanebeck; Michael Kuhwald; Peter Szilassi; Rainer Duttmann. Density of Biogas Power Plants as An Indicator of Bioenergy Generated Transformation of Agricultural Landscapes. Sustainability 2019, 11, 2500 .

AMA Style

Nandor Csikos, Malte Schwanebeck, Michael Kuhwald, Peter Szilassi, Rainer Duttmann. Density of Biogas Power Plants as An Indicator of Bioenergy Generated Transformation of Agricultural Landscapes. Sustainability. 2019; 11 (9):2500.

Chicago/Turabian Style

Nandor Csikos; Malte Schwanebeck; Michael Kuhwald; Peter Szilassi; Rainer Duttmann. 2019. "Density of Biogas Power Plants as An Indicator of Bioenergy Generated Transformation of Agricultural Landscapes." Sustainability 11, no. 9: 2500.

Research article
Published: 11 July 2018 in Landscape Ecology
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Intensive agricultural management practices and landscape homogenisation are the main drivers of biodiversity loss in agricultural landscapes. Agricultural fields are regularly disturbed and provide unstable habitats due to crop management regimes. This may lead to movement of arthropods into neighbouring non-arable habitats, as natural and semi-natural habitats provide suitable overwintering sites. Here we assessed the effect of landscape composition and configuration on the overwintering spider and carabid fauna of grassy field margins and hedgerows. We sampled ground-dwelling arthropods at field edges of different types (grassy field margin and hedgerows), landscape composition (diverse and simple) and configuration (mosaic and large-scale agricultural landscapes). We detected larger spiders in hedgerows than in grassy field margins and in complex landscapes rather than in simple landscapes. We found a significant effect of interaction between landscape composition and edge type on ballooning propensity of spiders. Agrobiont carabids were more abundant in field edges of compositionally simple and large-scale agricultural landscapes. Furthermore, we showed an effect of interaction between landscape composition and edge type on agrobiont spiders. We collected larger carabids in grassy field margins than in hedgerows and carabids were smaller in simple landscapes than in diverse landscapes. The spider community was affected by edge type, and landscape composition had a significant effect on the carabid community. Small-scale agricultural landscapes may have higher overall densities of ground-dwelling spiders and carabids than large scale landscapes due to the relatively high edge density and the higher quantity of available overwintering sites.

ACS Style

Róbert Gallé; Péter Császár; Tímea Makra; Nikolett Gallé-Szpisjak; Zsuzsanna Ladányi; Attila Torma; Kapilkumar Ingle; Péter Szilassi. Small-scale agricultural landscapes promote spider and ground beetle densities by offering suitable overwintering sites. Landscape Ecology 2018, 33, 1435 -1446.

AMA Style

Róbert Gallé, Péter Császár, Tímea Makra, Nikolett Gallé-Szpisjak, Zsuzsanna Ladányi, Attila Torma, Kapilkumar Ingle, Péter Szilassi. Small-scale agricultural landscapes promote spider and ground beetle densities by offering suitable overwintering sites. Landscape Ecology. 2018; 33 (8):1435-1446.

Chicago/Turabian Style

Róbert Gallé; Péter Császár; Tímea Makra; Nikolett Gallé-Szpisjak; Zsuzsanna Ladányi; Attila Torma; Kapilkumar Ingle; Péter Szilassi. 2018. "Small-scale agricultural landscapes promote spider and ground beetle densities by offering suitable overwintering sites." Landscape Ecology 33, no. 8: 1435-1446.

Journal article
Published: 01 May 2018 in GeoMetodika
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ACS Style

Péter Szilassi; Szegedi Tudományegyetem Természeti Földrajzi És Geoinformatikai Tanszék; László Szőlősy; Szeged Radnóti Miklós Kísérleti Gimnázium. Földrajztanárok földrajz kerettantervekről alkotott véleménye online kérdőíves felmérés alapján. GeoMetodika 2018, 2, 19 -26.

AMA Style

Péter Szilassi, Szegedi Tudományegyetem Természeti Földrajzi És Geoinformatikai Tanszék, László Szőlősy, Szeged Radnóti Miklós Kísérleti Gimnázium. Földrajztanárok földrajz kerettantervekről alkotott véleménye online kérdőíves felmérés alapján. GeoMetodika. 2018; 2 (2):19-26.

Chicago/Turabian Style

Péter Szilassi; Szegedi Tudományegyetem Természeti Földrajzi És Geoinformatikai Tanszék; László Szőlősy; Szeged Radnóti Miklós Kísérleti Gimnázium. 2018. "Földrajztanárok földrajz kerettantervekről alkotott véleménye online kérdőíves felmérés alapján." GeoMetodika 2, no. 2: 19-26.

Journal article
Published: 10 October 2017 in GeoMetodika
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ACS Style

Brigitta Balázs; Péter Szilassi; Zsuzsa M. Császár; Viktor Pál; Károly Terepics; Erzsébet Jász; Andrea Farsang. Milyen a jó földrajztankönyv? Értékelési módszerek a 21. században a földrajztankönyvi funkciók időbeli változásának tükrében. GeoMetodika 2017, 1, 35 -48.

AMA Style

Brigitta Balázs, Péter Szilassi, Zsuzsa M. Császár, Viktor Pál, Károly Terepics, Erzsébet Jász, Andrea Farsang. Milyen a jó földrajztankönyv? Értékelési módszerek a 21. században a földrajztankönyvi funkciók időbeli változásának tükrében. GeoMetodika. 2017; 1 (1):35-48.

Chicago/Turabian Style

Brigitta Balázs; Péter Szilassi; Zsuzsa M. Császár; Viktor Pál; Károly Terepics; Erzsébet Jász; Andrea Farsang. 2017. "Milyen a jó földrajztankönyv? Értékelési módszerek a 21. században a földrajztankönyvi funkciók időbeli változásának tükrében." GeoMetodika 1, no. 1: 35-48.

Journal article
Published: 01 October 2017 in Ecological Indicators
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ACS Style

P. Szilassi; T. Bata; Szilard Szabo; Bálint Czúcz; Zsolt Molnar; G. Mezősi. The link between landscape pattern and vegetation naturalness on a regional scale. Ecological Indicators 2017, 81, 252 -259.

AMA Style

P. Szilassi, T. Bata, Szilard Szabo, Bálint Czúcz, Zsolt Molnar, G. Mezősi. The link between landscape pattern and vegetation naturalness on a regional scale. Ecological Indicators. 2017; 81 ():252-259.

Chicago/Turabian Style

P. Szilassi; T. Bata; Szilard Szabo; Bálint Czúcz; Zsolt Molnar; G. Mezősi. 2017. "The link between landscape pattern and vegetation naturalness on a regional scale." Ecological Indicators 81, no. : 252-259.

Journal article
Published: 12 July 2017 in International Journal of Environmental Research and Public Health
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Individual perceptions are essential when evaluating the well-being benefits from urban green spaces. This study predicted the influence of perceived green space characteristics in the city of Szeged, Hungary, on two well-being variables: the green space visitors’ level of satisfaction and the self-reported quality of life. The applied logistic regression analysis used nine predictors: seven perceived green space characteristics from a questionnaire survey among visitors of five urban green spaces of Szeged; and the frequency of green space visitors’ crowd-sourced recreational running paths and photographs picturing green space aesthetics. Results revealed that perceived green space characteristics with direct well-being benefits were strong predictors of both dependent variables. Perceived green space characteristics with indirect, yet fundamental, well-being benefits, namely, regulating ecosystem services had minor influence on the dependent variables. The crowd-sourced geo-tagged data predicted only the perceived quality of life contributions; but revealed spatial patterns of recreational green space use and aesthetics. This study recommends that regulating ecosystem services should be planned with a focus on residents’ aesthetic and recreational needs. Further research on the combination of green space visitors´ perceptions and crowd-sourced geo-tagged data is suggested to promote planning for well-being and health benefits of urban green spaces.

ACS Style

Gyula Kothencz; Ronald Kolcsár; Pablo Cabrera-Barona; Péter Szilassi. Urban Green Space Perception and Its Contribution to Well-Being. International Journal of Environmental Research and Public Health 2017, 14, 766 .

AMA Style

Gyula Kothencz, Ronald Kolcsár, Pablo Cabrera-Barona, Péter Szilassi. Urban Green Space Perception and Its Contribution to Well-Being. International Journal of Environmental Research and Public Health. 2017; 14 (7):766.

Chicago/Turabian Style

Gyula Kothencz; Ronald Kolcsár; Pablo Cabrera-Barona; Péter Szilassi. 2017. "Urban Green Space Perception and Its Contribution to Well-Being." International Journal of Environmental Research and Public Health 14, no. 7: 766.

Journal article
Published: 01 March 2017 in Water Resources Management
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ACS Style

Viktória Blanka; Zsuzsanna Ladányi; Péter Szilassi; György Sipos; Attila Rácz; József Szatmári. Public Perception on Hydro-Climatic Extremes and Water Management Related to Environmental Exposure, SE Hungary. Water Resources Management 2017, 31, 1619 -1634.

AMA Style

Viktória Blanka, Zsuzsanna Ladányi, Péter Szilassi, György Sipos, Attila Rácz, József Szatmári. Public Perception on Hydro-Climatic Extremes and Water Management Related to Environmental Exposure, SE Hungary. Water Resources Management. 2017; 31 (5):1619-1634.

Chicago/Turabian Style

Viktória Blanka; Zsuzsanna Ladányi; Péter Szilassi; György Sipos; Attila Rácz; József Szatmári. 2017. "Public Perception on Hydro-Climatic Extremes and Water Management Related to Environmental Exposure, SE Hungary." Water Resources Management 31, no. 5: 1619-1634.

Journal article
Published: 01 November 2014 in Journal of Environmental Geography
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Several environmental and economic consequences of drought and the accompanying water shortage were observed in the plain area of the Carpathian Basin in the last decades. This area is mostly used for agriculture, thus it is a key problem in the future to maintain food safety in the changing circumstances. Therefore, involvement and identification of areas affected by drought hazard and revealing steps of efficient adaptation are of high importance. In this study influence of drought severity on agricultural production is investigated in the Hungarian-Serbian cross-border area. The tendency in drought severity was analysed by PaDI and MAI drought indices. The effect of drought on agricultural production is evaluated on maize yield data as the most drought sensitive crop in the region. Increasing drought frequency and severity was indicated for the study area for the period of 1961-2012. The spatial assessment of annual PaDI maps revealed the higher exposure of the north and northeastern part of the study area to drought, where drought frequency was also experienced to be the highest. Increased sensitivity was detected based on maize yield loss after the early 1990s and annual yields were in strong connection with d rought severity. In spite of the technological development of agriculture, environmental factors still substantially affect crop yie lds. The observed unfavourable changes in the region mean that water management and spatial planning faces conceptual challenges to prevent and mitigate the damages of drought.

ACS Style

Károly Fiala; Viktória Blanka; Zsuzsanna Ladányi; Péter Szilassi; Balázs Benyhe; Dragan Dolinaj; Imre Pálfai. Drought Severity and its Effect on Agricultural Production in the Hungarian-Serbian Cross-Border Area. Journal of Environmental Geography 2014, 7, 43 -51.

AMA Style

Károly Fiala, Viktória Blanka, Zsuzsanna Ladányi, Péter Szilassi, Balázs Benyhe, Dragan Dolinaj, Imre Pálfai. Drought Severity and its Effect on Agricultural Production in the Hungarian-Serbian Cross-Border Area. Journal of Environmental Geography. 2014; 7 (3-4):43-51.

Chicago/Turabian Style

Károly Fiala; Viktória Blanka; Zsuzsanna Ladányi; Péter Szilassi; Balázs Benyhe; Dragan Dolinaj; Imre Pálfai. 2014. "Drought Severity and its Effect on Agricultural Production in the Hungarian-Serbian Cross-Border Area." Journal of Environmental Geography 7, no. 3-4: 43-51.

Journal article
Published: 20 January 2013 in Water, Air, & Soil Pollution
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Major incidents involving mine waste facilities and poor environmental management practices have left the legacy of thousands of contaminated sites like in the historic mining areas in the Carpathian Basin. Associated environmental risks have triggered the development of new EU environmental legislation to prevent and minimize the effects of such incidents. The Mine Waste Directive requires the risk-based inventory of all mine waste sites in Europe by May 2012. In order to address the mining environmental problems, a standard risk-based pre-selection protocol has been developed by the EU Commission. The protocol consists of 18 simple questions about contamination source, pathway and receptor. This paper evaluates the protocol by applying it to real-life cases, adopting it to local conditions, comparing to the similar method of the European Environmental Agency standard Preliminary Risk Assessment Model (PRAMS) and by carrying out uncertainty analysis. All together, 145 ore mine waste sites have been selected for scientific testing and evaluation using the EU Mining Waste Directive (MWD) Pre-selection Protocol as a case study from Hungary. The proportion of uncertain responses to questions in the protocol for the mine waste site gives an insight of specific and overall uncertainty in the data used. Questions of the EU MWD Pre-selection Protocol are linked to a GIS system, and key parameters such as the topographic slope and distance to the nearest surface and groundwater bodies to settlements and protected areas are calculated and statistically evaluated in order to adjust the RA models to local conditions in Hungary. Results show that the adjustment of threshold values to local conditions is necessary; however, the EU MWD Pre-selection Protocol is robust and is relatively insensitive to threshold values. Results of the EU MWD Pre-selection Protocol are consistent with the pre-screening European Environmental Agency PRAMS model which further confirms that the Protocol delivers reliable selection results that are not sensitive to the selected parameters. An interesting outcome of the study is that the highest uncertainty is associated with the engineering conditions of the waste facilities, such as the heights and size.

ACS Style

A. Abdaal; Gyozo Jordan; Péter Szilassi. Testing Contamination Risk Assessment Methods for Mine Waste Sites. Water, Air, & Soil Pollution 2013, 224, 1 .

AMA Style

A. Abdaal, Gyozo Jordan, Péter Szilassi. Testing Contamination Risk Assessment Methods for Mine Waste Sites. Water, Air, & Soil Pollution. 2013; 224 (2):1.

Chicago/Turabian Style

A. Abdaal; Gyozo Jordan; Péter Szilassi. 2013. "Testing Contamination Risk Assessment Methods for Mine Waste Sites." Water, Air, & Soil Pollution 224, no. 2: 1.

Articles
Published: 01 March 2011 in International Journal of Geographical Information Science
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The recent availability of regional-scale land use and land cover data made it possible to apply land use and land cover models at regional-, national- and even continental-scale levels. A commonly used modelling approach is based on the assessment of land cover probabilities by means of logistic regression equations. In most cases, however, the error involved in the parameterization of logistic regression equations is not known. In this article, the sensitivity of logistic regression parameterization for land use and land cover probability assessments is analysed by comparing the results using input maps from different sources. Land cover maps with a range of accuracy levels were collected for a sub-catchment of the Lake Balaton watershed in Hungary. The results show that the parameterization of the logistic regression coefficients is highly dependent on the quality of the input maps. Both the spatial pattern and the area covered by a specific land cover type have a direct influence on the error propagation in the land cover probability maps. These findings should be taken into account when interpreting the results of land use and land cover change models at regional- and national-scale levels.

ACS Style

Wim Van Dessel; Anton Van Rompaey; Péter Szilassi. Sensitivity analysis of logistic regression parameterization for land use and land cover probability estimation. International Journal of Geographical Information Science 2011, 25, 489 -508.

AMA Style

Wim Van Dessel, Anton Van Rompaey, Péter Szilassi. Sensitivity analysis of logistic regression parameterization for land use and land cover probability estimation. International Journal of Geographical Information Science. 2011; 25 (3):489-508.

Chicago/Turabian Style

Wim Van Dessel; Anton Van Rompaey; Péter Szilassi. 2011. "Sensitivity analysis of logistic regression parameterization for land use and land cover probability estimation." International Journal of Geographical Information Science 25, no. 3: 489-508.

Journal article
Published: 08 July 2009 in Landscape Ecology
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The first author of the paper published in Landscape Ecology (2008) 23:645–656 would like to correct his mistake made in the authorship of the printed paper with sincere apologies. The correct full title of the paper should be referred to as the following: “Wim Van Dessel, Anton Van Rompaey, Lien Poelmans, Peter Szilassi, Gyozo Jordan, Gabor Csillag: Predicting land cover changes and their impact on the sediment influx in the Lake Balaton catchment.”

ACS Style

Wim Van Dessel; Anton Van Rompaey; Lien Poelmans; Peter Szilassi; Gyozo Jordan; Gabor Csillag. Predicting land cover changes and their impact on the sediment influx in the Lake Balaton catchment. Landscape Ecology 2009, 24, 987 -987.

AMA Style

Wim Van Dessel, Anton Van Rompaey, Lien Poelmans, Peter Szilassi, Gyozo Jordan, Gabor Csillag. Predicting land cover changes and their impact on the sediment influx in the Lake Balaton catchment. Landscape Ecology. 2009; 24 (7):987-987.

Chicago/Turabian Style

Wim Van Dessel; Anton Van Rompaey; Lien Poelmans; Peter Szilassi; Gyozo Jordan; Gabor Csillag. 2009. "Predicting land cover changes and their impact on the sediment influx in the Lake Balaton catchment." Landscape Ecology 24, no. 7: 987-987.

Research article
Published: 14 May 2008 in Landscape Ecology
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The land cover pattern in the Lake Balaton catchment (Hungary) has been changing since decollectivization in the 1990s. These land cover changes significantly impact the landscape connectivity, controlling the influx of sediments into the lake. A comparison of high resolution land cover maps from 1981, 2000 and 2005 showed a significant extensification of the agriculture with land cover conversions from arable land and vineyards to grassland and forest. For each land unit transition probabilities were assessed using logistic regression techniques to evaluate to which extent land cover changes are controlled by physical or socio-economic parameters. A stochastic land cover allocation algorithm was applied to generate future land cover patterns. The landscape connectivity for each of the simulated land cover patterns was assessed by means of a distributed routing algorithm. The simulations suggest that further land abandonment in the upslope parts of the catchment will cause a non-linear reduction of average soil erosion rates. The changes, however, have a relatively low impact on the sediment volume entering the lake because of the land unit’s poor connectivity with permanent river channels. The major contributors to the lakes sediment load are the vineyards near the lakeshore. They are likely to be maintained because of their touristic value. A significant reduction of the total sediment input in the lake can be expected only if soil conservation measures in the vineyards near the shorelines are undertaken.

ACS Style

Wim Van Dessel; Anton Van Rompaey; Lien Poelmans; Péter Szilassi. Predicting land cover changes and their impact on the sediment influx in the Lake Balaton catchment. Landscape Ecology 2008, 23, 645 -656.

AMA Style

Wim Van Dessel, Anton Van Rompaey, Lien Poelmans, Péter Szilassi. Predicting land cover changes and their impact on the sediment influx in the Lake Balaton catchment. Landscape Ecology. 2008; 23 (6):645-656.

Chicago/Turabian Style

Wim Van Dessel; Anton Van Rompaey; Lien Poelmans; Péter Szilassi. 2008. "Predicting land cover changes and their impact on the sediment influx in the Lake Balaton catchment." Landscape Ecology 23, no. 6: 645-656.