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001-es BibID:	BIBFORM037388
Első szerző:	Szabó Szilárd (geográfus)
Cím:	Tools for Landscape Ecological Planning : Scale, and Aggregation Sensitivity of the Contagion type Landscape Metric Indices / Szabó Szilárd, Csorba Péter, Szilassi Péter
Dátum:	2012
Megjegyzések:	The major objective of this study is to investigate the aggregation (class number), and scale (cell size) dependence of the contagion landscape indices. A detailed statistical analysis of theoretical habitat patterns using 1 km cell size, 64 and 81 ha areas has been delineated. Simple aggregated and dispersed, regular and irregular patterns were created, and their characteristics were revealed by using contagion type landscape metrics (aggregation, intermixing and subdivision indices) on the class and landscape level, as well as the influence of the number of classes and spatial resolution in their values. Cross-correlations were also explored. Our results show that all metrics are sensitive to the number of classes; they produced different values using the same pattern for 2-3-4 classes, except with the Aggregation Index. Resolution (cell size) has a significant effect on the values of the aggregation indices: comparing the applied 100, 250 and 500 m resolutions to the native 1000 m, it has been observed that the range of values decreased to half of the possible. This means that aggregation indices need a heuristically determined cell size that differs from the needs of other metrics. This study highlights that the interspersion and subdivision indices are not scale dependent landscape indices. Aggregation metrics (Aggregation Index, Percentage of Like Adjacencies, Clumpiness Index) and subdivision metrics (Effective Mesh Size, Splitting Index, Division Index) do not correlate with each other, but they are in a strong relationship within their groups. The Interspersion Index does not correlate with these landscapes metric parameters; its application can be recommended due to its uniqueness. Despite the strong correlations, it is advisable to use the indices in parallel according to the differing calculation methods on landscape ecological planning. Cross-correlation matrix changes with the grain size, but it is not significant.
ISBN:	1842-4090
Tárgyszavak:	Természettudományok Környezettudományok idegen nyelvű folyóiratközlemény külföldi lapban landscape metrics contagion spatial patterns ecological planning ecological networks
Megjelenés:	Carpathian Journal of Earth and Environmental Sciences. - 7 : 3 (2012), p. 127-136. -
További szerzők:	Csorba Péter (1953-) (geográfus) Szilassi Péter
Pályázati támogatás:	TÁMOP-4.2.2/B-10/1-2010-0024 TÁMOP Bolyai János Kutatási Ösztöndíj Egyéb
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM071694
035-os BibID:	(WoS)000417229100025 (Scopus)85020405650
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)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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