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Discovering the ecological structure of different macrophyte groups in rivers using non-parametric and parametric multivariate ordination techniques

cris.virtual.author-orcid0000-0002-0929-5285
cris.virtual.author-orcid0000-0002-8196-333X
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cris.virtualsource.author-orcida59124fb-16e6-4640-b90f-907536b11f95
cris.virtualsource.author-orcid97286f2f-3fa8-4192-89a2-5ba580185c1c
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
dc.abstract.enThis paper analyses various methods of ecological ordering that are often used in modelling the relationship between vegetation and habitat. The results of direct gradient ordination by Canonical correspondence analysis (CCA), which is based on correlation, were compared with Non-metric multidimensional scaling (NMDS), which is based on rank analyses. Both tools were also compared with Detrended correspondence analysis (DCA), which is a popular indirect gradient analysis method. The macrophyte assessment was conducted at 98 river locations in the lowland regions of Poland. Each of the surveyed locations falls within a consistent abiotic category: small to medium-sized lowland rivers with a sandy bottom. Habitat elements analysed included limnological variables and geographic parameters, and the botanical survey focused on submerged macrophytes, including vascular plants, as well as bryophytes and algae. Firstly, it was shown that various analytical tools for determining the importance of ecological factors (Monte Carlo test, BIOENV) identify slightly diferent signifcant factors responsible for the development of macrophytes in rivers. Secondly, considerable similarity was found in the structure of macrophyte communities generated on NMDS and DCA biplots, while macrophyte communities were presented very diferently based on CCA. Thirdly, the ecological preferences of aquatic plants based on one-dimensional analyses primarily refected the results of CCA, whereas they did not always follow the ecological pattern revealed by NMDS. Finally, by conducting separate studies for non-vascular plants and vascular macrophytes, it was confrmed that diferent ecological drivers are responsible for the development of particular groups of macrophytes
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Budownictwa i Geoinżynierii
dc.affiliation.instituteKatedra Ekologii i Ochrony Środowiska
dc.contributor.authorBudka, Anna
dc.contributor.authorSzoszkiewicz, Krzysztof
dc.contributor.authorPietruczuk, Karol
dc.contributor.authorAgaj, Tropikë
dc.date.access2024-09-10
dc.date.accessioned2024-09-10T10:47:43Z
dc.date.available2024-09-10T10:47:43Z
dc.date.copyright2024-06-10
dc.date.issued2024
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>This paper analyses various methods of ecological ordering that are often used in modelling the relationship between vegetation and habitat. The results of direct gradient ordination by Canonical correspondence analysis (CCA), which is based on correlation, were compared with Non-metric multidimensional scaling (NMDS), which is based on rank analyses. Both tools were also compared with Detrended correspondence analysis (DCA), which is a popular indirect gradient analysis method. The macrophyte assessment was conducted at 98 river locations in the lowland regions of Poland. Each of the surveyed locations falls within a consistent abiotic category: small to medium-sized lowland rivers with a sandy bottom. Habitat elements analysed included limnological variables and geographic parameters, and the botanical survey focused on submerged macrophytes, including vascular plants, as well as bryophytes and algae. Firstly, it was shown that various analytical tools for determining the importance of ecological factors (Monte Carlo test, BIOENV) identify slightly different significant factors responsible for the development of macrophytes in rivers. Secondly, considerable similarity was found in the structure of macrophyte communities generated on NMDS and DCA biplots, while macrophyte communities were presented very differently based on CCA. Thirdly, the ecological preferences of aquatic plants based on one-dimensional analyses primarily reflected the results of CCA, whereas they did not always follow the ecological pattern revealed by NMDS. Finally, by conducting separate studies for non-vascular plants and vascular macrophytes, it was confirmed that different ecological drivers are responsible for the development of particular groups of macrophytes</jats:p>
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0.00
dc.description.if3,8
dc.description.points140
dc.description.reviewreview
dc.description.versionfinal_published
dc.description.volumevol. 14
dc.identifier.doi10.1038/s41598-024-64089-2
dc.identifier.issn2045-2322
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/1732
dc.identifier.weblinkhttps://www.nature.com/articles/s41598-024-64089-2
dc.languageen
dc.relation.ispartofScientific Reports
dc.relation.pagesart. 13313
dc.rightsCC-BY
dc.sciencecloudsend
dc.share.typeOPEN_JOURNAL
dc.subject.enOrdination methods
dc.subject.enSite classifcation
dc.subject.enHabitat gradient
dc.subject.enWater–vegetation
dc.titleDiscovering the ecological structure of different macrophyte groups in rivers using non-parametric and parametric multivariate ordination techniques
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume14