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001-es BibID:BIBFORM084864
Első szerző:Blanka Viktória
Cím:Meso-region scale change of climate in the 21th century and its potential impacts on the environment in the Carpathian Basin / Blanka Viktória, Mezősi Gábor, Wolfgang Loibl, Szépszó Gabriella, Csorba Péter, Burghard Meyer, Bata Teodóra, Nagy Richárd, Vass Róbert
Dátum:2012
ISBN:978 963 306 161 9
Tárgyszavak:Természettudományok Földtudományok könyvfejezet
könyvrészlet
Megjelenés:Review of climate change research program at the University of Szeged (2010-2012) = A klímaváltozás kutatás válogatott eredményei a Szegedi Tudományegyetemen (2010-2012) / ed. Rakonczai János, Ladányi Zsuzsanna. - p. 25-36. -
További szerzők:Mezősi Gábor (1952-) (geográfus) Loibl, Wolfgang Szépszó Gabriella Csorba Péter (1953-) (geográfus) Meyer, Burghard C. Bata Teodóra Nagy Richárd (1983-) (geográfus) Vass Róbert (1980-) (geográfus)
Pályázati támogatás:TÁMOP-4.2.1/B-09/1/KONV-2010-0005
TÁMOP
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2.

001-es BibID:BIBFORM084454
Első szerző:Mezősi Gábor (geográfus)
Cím:Assessment of regional climate change impacts on Hungarian landscapes / Mezősi Gábor, Burghard C. Meyer, Wolfgang Loibl, Christoph Aubrecht, Csorba Péter, Bata Teodóra
Dátum:2013
ISSN:1436-3798 1436-378X
Megjegyzések:The assessment of regional climate change impacts combined with the sensitivity of landscape functions by predictive modelling of hazardous landscape processes is a new fundamental field of research. In particular, this study investigates the effects of changing weather extremes on meso-regional-scale landscape vulnerability. Climatic-exposure parameter analysis was performed on a predicted climate change scenario. The exposure to climate change was analysed on the basis of the original data of the meso-scale IPCC A1B climate scenario from the REMO and ALADIN regional models for the periods of 2021?2050 and 2071?2100, and the regional types of climate change impacts were calculated by using cluster analysis. Selected climate exposure parameters of the REMO and ALADIN models were analysed, in particular, for extreme events (days with precipitation greater than 30 mm, heat waves, dry periods, wet periods) and for daily temperature and precipitation. The landscape functions impacted by climate change are proxies for the main recent and future problematic processes in Hungary. Soil erosion caused by water, drought, soil erosion caused by wind, mass movement and flash floods were analysed for the time periods of 1961-1990, 2021-2050 and 2071-2100. Based on the sensitivity thresholds for the impact assessments, the landscape functional sensitivity indicators were interpreted, and an integrative summary of the five indicators was made, differentiating the regions facing only a few or multiple sensitivities. In Central Hungary, the increasing exposure and sensitivity to droughts will be a serious problem when following the REMO scenario. In several regions, most indicators will change the sensitivity threshold from a tolerable risk to an increased or very high risk.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Regional Environmental Change. - 13 : 4 (2013), p. 797-811. -
További szerzők:Meyer, Burghard C. Loibl, Wolfgang Aubrecht, Christoph Csorba Péter (1953-) (geográfus) Bata Teodóra
Pályázati támogatás:TÁMOP-4.2.1/B-09/1KONV-2010
TÁMOP
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3.

001-es BibID:BIBFORM081274
Első szerző:Mezősi Gábor (geográfus)
Cím:Similarity assessment of natural landscapes based on taxonomic distance / Mezősi G., Csorba P., Bata T., Blanka V., Ladányi Zs.
Dátum:2016
ISSN:1589-1623 1785-0037
Megjegyzések:The degree of similarity/dissimilarity between landscapes is important information for landscape classification, potential assessment and evaluation. In geographical assessments, similarity in landscape functioning and visual attributes is commonly analysed by using landscape factors (e.g., relief, water balance and soil fertility), land use and built-up area. In this study the similarity and dissimilarity of Hungarian landscape units were investigated to reveal the appropriateness and uncertainty of the current delimitation methods. Nine indicators for 230 landscape units, delineated by the traditional methods, were integrated into a data matrix. Dissimilarity coefficients were calculated for each unit to determine the Euclidean distance between all indicators. Dissimilarity analysis was performed by multidimensional scaling using Kruskal's stress test and hierarchical clustering. The applied method enabled a more objective determination of taxonomic distance. Based on the results, the similarity and dissimilarity of landscapes could be evaluated by more accurate and quantitative datasets. Several neighbouring landscape units should require increased attention in spatial planning because these landscapes differ from each other: they belong to different clusters based on the investigated indicators, though they are adjacent.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
similarity analysis
multidimensional scaling
taxonomic distance
ecology
Megjelenés:Applied Ecology and Environmental Research. - 14 : 3 (2016), p. 679-693. -
További szerzők:Csorba Péter (1953-) (geográfus) Bata Teodóra Blanka Viktória Ladányi Zsuzsanna
Pályázati támogatás:SROP-4.2.2.B-15/1/KONV-2015-0001
Egyéb
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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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