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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
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