Comparative assessment of Western Podolia meadow steppes (Ukraine) based on the synphytoindication method

The aim of our study is to establish the determinant ecological factors that have the greatest differential impact on the distribution of meadow steppe plant communities of Western Podolia (Ukraine) on the base of a synphytoindication analysis. There were 8 study sites within the study area in the L...

Full description

Bibliographic Details
Main Authors: Lysenko Henadii M., Danylyk Ivan M., Iemelianova Svitlana M., Borsukevych Liubov M., Sosnovska Svitlana V.
Format: Article
Language:English
Published: Sciendo 2021-06-01
Series:Hacquetia
Subjects:
Online Access:https://doi.org/10.2478/hacq-2020-0018
id doaj-808fe55bb18f47af83f9de9d0a66bec7
record_format Article
spelling doaj-808fe55bb18f47af83f9de9d0a66bec72021-09-06T19:22:16ZengSciendoHacquetia1854-98292021-06-0120119721610.2478/hacq-2020-0018Comparative assessment of Western Podolia meadow steppes (Ukraine) based on the synphytoindication methodLysenko Henadii M.0Danylyk Ivan M.1Iemelianova Svitlana M.2Borsukevych Liubov M.3Sosnovska Svitlana V.4Gogol State University of Nizhyn, 2, Kropyvyansky St., Nizhyn, Chernigiv Region, 16600, Ukraine.Institute of Ecology of the Carpathians N.A.S. of Ukraine, 4, Kozelnytska St., L’viv 79026, Ukraine.M. G. Kholodny Institute of Botany N.A.S. of Ukraine, 2, Tereshchenkivska St., Kyiv, 01004, Ukraine.Botanical Garden of Ivan Franco National University of L’viv, 44, M. Cheremshyny St., L’viv, 79014, Ukraine.Institute of Ecology of the Carpathians N.A.S. of Ukraine, 4, Kozelnytska St., L’viv 79026, Ukraine.The aim of our study is to establish the determinant ecological factors that have the greatest differential impact on the distribution of meadow steppe plant communities of Western Podolia (Ukraine) on the base of a synphytoindication analysis. There were 8 study sites within the study area in the L’viv and Ivano-Frankivsk regions. To determine the coenotic affinity of the studied species, 48 relevés were analyzed. Numerical classification based on the Modified TWINSPAN algorithm divided the dataset into five clusters, which have been identified as the associations Pastinaco sativae-Arrhenatheretum elatioris, Geranio sanguinei-Trifolietum alpestris, Inuletum ensifoliae, Jurineo calcareae-Stipetum capillatae and Lembotropio nigricans-Potentilletum arenariae. The results of gradient analyses indicate that the distribution of meadow steppe communities in the Podolia Upland closely correlates with a number of climatic (thermoregime and continentality of climate) and especially edaphic (soil humidity, soil acidity and carbonate content) ecological factors.https://doi.org/10.2478/hacq-2020-0018climatic and edaphic factorsmeadow steppesordinationpodolia uplandphytoindication scalessyntaxonomytwinspanvegetation
collection DOAJ
language English
format Article
sources DOAJ
author Lysenko Henadii M.
Danylyk Ivan M.
Iemelianova Svitlana M.
Borsukevych Liubov M.
Sosnovska Svitlana V.
spellingShingle Lysenko Henadii M.
Danylyk Ivan M.
Iemelianova Svitlana M.
Borsukevych Liubov M.
Sosnovska Svitlana V.
Comparative assessment of Western Podolia meadow steppes (Ukraine) based on the synphytoindication method
Hacquetia
climatic and edaphic factors
meadow steppes
ordination
podolia upland
phytoindication scales
syntaxonomy
twinspan
vegetation
author_facet Lysenko Henadii M.
Danylyk Ivan M.
Iemelianova Svitlana M.
Borsukevych Liubov M.
Sosnovska Svitlana V.
author_sort Lysenko Henadii M.
title Comparative assessment of Western Podolia meadow steppes (Ukraine) based on the synphytoindication method
title_short Comparative assessment of Western Podolia meadow steppes (Ukraine) based on the synphytoindication method
title_full Comparative assessment of Western Podolia meadow steppes (Ukraine) based on the synphytoindication method
title_fullStr Comparative assessment of Western Podolia meadow steppes (Ukraine) based on the synphytoindication method
title_full_unstemmed Comparative assessment of Western Podolia meadow steppes (Ukraine) based on the synphytoindication method
title_sort comparative assessment of western podolia meadow steppes (ukraine) based on the synphytoindication method
publisher Sciendo
series Hacquetia
issn 1854-9829
publishDate 2021-06-01
description The aim of our study is to establish the determinant ecological factors that have the greatest differential impact on the distribution of meadow steppe plant communities of Western Podolia (Ukraine) on the base of a synphytoindication analysis. There were 8 study sites within the study area in the L’viv and Ivano-Frankivsk regions. To determine the coenotic affinity of the studied species, 48 relevés were analyzed. Numerical classification based on the Modified TWINSPAN algorithm divided the dataset into five clusters, which have been identified as the associations Pastinaco sativae-Arrhenatheretum elatioris, Geranio sanguinei-Trifolietum alpestris, Inuletum ensifoliae, Jurineo calcareae-Stipetum capillatae and Lembotropio nigricans-Potentilletum arenariae. The results of gradient analyses indicate that the distribution of meadow steppe communities in the Podolia Upland closely correlates with a number of climatic (thermoregime and continentality of climate) and especially edaphic (soil humidity, soil acidity and carbonate content) ecological factors.
topic climatic and edaphic factors
meadow steppes
ordination
podolia upland
phytoindication scales
syntaxonomy
twinspan
vegetation
url https://doi.org/10.2478/hacq-2020-0018
work_keys_str_mv AT lysenkohenadiim comparativeassessmentofwesternpodoliameadowsteppesukrainebasedonthesynphytoindicationmethod
AT danylykivanm comparativeassessmentofwesternpodoliameadowsteppesukrainebasedonthesynphytoindicationmethod
AT iemelianovasvitlanam comparativeassessmentofwesternpodoliameadowsteppesukrainebasedonthesynphytoindicationmethod
AT borsukevychliubovm comparativeassessmentofwesternpodoliameadowsteppesukrainebasedonthesynphytoindicationmethod
AT sosnovskasvitlanav comparativeassessmentofwesternpodoliameadowsteppesukrainebasedonthesynphytoindicationmethod
_version_ 1717772374049292288