CCL

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1.

001-es BibID:BIBFORM063088
035-os BibID:(WoS)000370906000037 (Scopus)84953229403
Első szerző:Juhos Katalin
Cím:Explore the influence of soil quality on crop yield using statistically-derived pedological indicators / Katalin Juhos, Szilárd Szabó, Márta Ladányi
Dátum:2016
ISSN:1470-160X
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Ecological Indicators. - 63 (2016), p. 366-373. -
További szerzők:Szabó Szilárd (1974-) (geográfus) Ladányi Márta
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Intézményi repozitóriumban (DEA) tárolt változat
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2.

001-es BibID:BIBFORM083957
035-os BibID:(cikkazonosító)106234
Első szerző:Molnár Vanda Éva (környezetkutató)
Cím:Air pollution induced vegetation stress : The Air Pollution Tolerance Index as a quick tool for city health evaluation / Molnár Vanda Éva, Simon Edina, Tóthmérész Béla, Sarawut Ninsawat, Szabó Szilárd
Dátum:2020
ISSN:1470-160X
Megjegyzések:Air Pollution Tolerance Index (APTI) is used to assess how tolerant plant species are of air pollution; it also serves to identify tolerant plant species that can be useful for pollution removal. APTI is calculated from parameters that are affected by air pollutants, such as ascorbic acid content, total chlorophyll content, relative water content and pH of leaf extract. In this study we report APTI values of two common tree species (Celtis occidentalis and Tilia sp.) in Debrecen, Hungary. We also ran a meta-analysis to compare APTI values among various global cities and land use types (industrial, roadside and urban) using robust ANOVA. APTI's relationship with city population and PM10 (particulate matter with aerodynamic diameter smaller than 10 ?m) was analysed using regression modelling and Principal Component Analysis. We applied Random Forest Regression for statistical model building. We demonstrated that the tolerance of tree species is higher in industrial areas and in cities with high pollution levels than in control areas. We found a strong positive correlation between APTI and the size of cities. The cities showed a separation along the first principal component, which was also correlated with APTI and the size of cities. Our results show that APTI is an efficient tool in air pollution monitoring and in decision making during urban development and urban greening.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
biomonitoring
pH of leaf extract
Total leaf chlorophyll
Ascorbic acid
Water content of leaf
Random Forest Regression
Megjelenés:Ecological Indicators. - 113 (2020), p. 1-8. -
További szerzők:Simon Edina (1981-) (ökológus) Tóthmérész Béla (1960-) (ökológus) Ninsawat, Sarawut Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:TNN 123457
Egyéb
OTKA-116639
OTKA
KH 126481
Egyéb
KH 126477
Egyéb
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Intézményi repozitóriumban (DEA) tárolt változat
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3.

001-es BibID:BIBFORM047591
Első szerző:Szabó Szilárd (geográfus)
Cím:Factors biasing the correlation structure of patch level landscape metrics / Szilárd Szabó, Zoltán Túria, Sándor Márton
Dátum:2014
ISSN:1470-160X
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
Megjelenés:Ecological Indicators. - 36 (2014), p. 1-10. -
További szerzők:Túri Zoltán (1980-) (geográfus) Márton Sándor (szociológus)
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Intézményi repozitóriumban (DEA) tárolt változat
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4.

001-es BibID:BIBFORM071694
Első szerző:Szilassi Péter
Cím:The link between landscape pattern and vegetation naturalness on a regional scale / P. Szilassi, T. Bata, Sz. Szabó, B. Czúcz, Zs. Molnár, G. Mezősi
Dátum:2017
ISSN:1470-160X
Megjegyzések:The land use and land cover pattern of landscapes are key elements of basic landscape structure; accordingly,this pattern has an important role in landscape management, nature conservation and preservation. In Hungary,the naturalness of the vegetation was surveyed between 2003 and 2006, and the vegetation-based NaturalCapital Index (NCI) was calculated for almost the entire area of the country. This field-based database gave usthe unique opportunity to analyse the statistical connection between the naturalness of the vegetation and thelandscape (land cover) pattern on a regional scale. In our study, we analysed the efficiency of the regional-levelCORINE Land Cover (CLC) database for the estimation of the naturalness of the vegetation. This connection wasanalysed at the country scale using every (2272) Flora Mapping Unit (FMU), or 5.5 ?6.5 km quadrate, ofHungary. We calculated the shape-, edge- and size-related landscape indices for all FMUs on a landscape level(including all CLC patches) and a class level (the land cover polygons were classified according to their landcover characteristics and their level of hemeroby). We determined the Spearman's correlations to reveal thestatistical connections between the landscape metric parameters and the NCI values. All of the investigated areaweightedlandscape indices: Main Patch Size, (MPS), Main Fractal Dimension Index, (MFDI), Total Edge (TE),Main Shape Index (MSI) and Number of Shape Characteristic Points (NSCP) on the landscape level showed asignificant statistical connection with the NCI, but the sign of its correlation with the NCI contrasted with thefindings from previous studies on a larger scale. Our study shows that scale has a strong impact on the sign of thecorrelation between the naturalness of the vegetation and the landscape structure. On a class level, particularlythe shape-related landscape indices of the "Forest and semi-natural areas" showed statistically significant correlationswith the NCI. The correlation strongly depended on the method of classification of the CLC polygons.Furthermore, the spatial pattern of the land-cover-type-based CLC polygon categories showed higher correlationvalues with the NCI than CLC polygon classes, which were categorized according to their hemeroby state. Theseresults show that although the sign of the spatial pattern change in the main land cover classes is scale-dependent,they can be used to estimate the increase or decrease in the naturalness of the vegetation better than thespatial changes of the hemeroby-level-based landscape pattern. We can predict the change in the naturalness ofvegetation based on the spatial changes in the land cover pattern.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
landscape metrics
CORINE
scale sensitivity
landscape pattern
vegetation based natural capital index
hemeroby
Megjelenés:Ecological Indicators 81 (2017), p. 252-259. -
További szerzők:Bata Teodóra Szabó Szilárd (1974-) (geográfus) Czúcz B. Molnár Zs. Mezősi Gábor (1952-) (geográfus)
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Intézményi repozitóriumban (DEA) tárolt változat
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5.

001-es BibID:BIBFORM082563
Első szerző:Varga Orsolya Gyöngyi (geográfus)
Cím:Intensity Analysis and the Figure of Merit's components for assessment of a Cellular Automata-Markov simulation model / Orsolya Gyöngyi Varga, Robert Gilmore Pontius, Sudhir Kumar Singh, Szilárd Szabó
Dátum:2019
ISSN:1470-160X
Megjegyzések:Some popular metrics to evaluate land change simulation models are misleading. Therefore, land change scientists have called for the development of methods to evaluate various aspects of modelling applications. This article answers the call by giving novel methods to compare three types of land change: 1) reference change during the calibration time interval, 2) simulation change during the validation time interval, and 3) reference change during the validation time interval. We compare these changes by using Intensity Analysis' three levels and the Figure of Merit's four components: Misses, Hits, Wrong Hits and False Alarms. We illustrate the concepts by applying a Cellular Automata - Markov land change model to a case study in northeast Hungary. We used reference maps of five land categories to calibrate the model during 2000-2006, then to validate the simulation during 2006-2012. Intensity Analysis' time interval level shows that the simulation change and the reference change decelerated from 2000-2006 to 2006-2012. Intensity Analysis' category level shows that the simulation losses were less than what a pure Markov chain would have dictated. Intensity Analysis' transition level shows that the model's Markov algorithm simulated correctly that the gain of Forest targeted Agriculture and Wetland. The Figure of Merit's components reveals more allocation error than quantity error. Our collection of metrics show that more error derived from the Cellular Automata algorithm than from the Markov algorithm. We recommend that scientists use Intensity Analysis and the Figure of Merit's components to reveal various fundamental aspects of modelling applications.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
cellular automata
CA-Markov
Figure of Merit
Intensity analysis
land change
validation
Megjelenés:Ecological Indicators. - 101 (2019), p. 933-942. -
További szerzők:Pontius, Robert Gilmore Singh, Sudhir Kumar (1970-) (geográfus) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:EFOP-3.6.1-16-2016-00022
EFOP
TNN 123457
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Intézményi repozitóriumban (DEA) tárolt változat
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