In:
Vegetation Classification and Survey, Pensoft Publishers, Vol. 1 ( 2020-05-04), p. 53-75
Abstract:
Aims : This study aims to contribute to the knowledge of European freshwater lake ecosystems with updated and new information on aquatic plant communities, by conducting national-scale phytosociological research of freshwater lake vegetation in Greece. Moreover, it investigates the relationship between aquatic plant communities and lake environmental parameters, including eutrophication levels and hydro-morphological conditions. Study area : Lakes in Greece, SE Europe. Methods : 5,690 phytosociological relevés of aquatic vegetation were sampled in 18 freshwater lake ecosystems during 2013–2016. The relevés were subjected to hierarchical cluster and indicator species analyses in order to identify associations and communities of aquatic vegetation, as well as to describe their syntaxonomy. Multiple regression analysis was applied to investigate the relationship between vegetation syntaxa and environmental parameters of lakes, i.e. physico-chemical parameters and water level fluctuation. Results : Ninety-nine plant taxa belonging to 30 different families were recorded. Forty-six vegetation types were identified and described by their ecological characteristics, diagnostic taxa and syntaxonomical status. Thirteen vegetation types, the largest number belonging to the vegetation class Charetea , are considered to be new records for Greece. The distribution of the vegetation types recorded in the 18 freshwater lakes was found to depend on environmental parameters and levels of eutrophication. Conclusions : An updated aquatic vegetation inventory was produced for Greek lakes, and primary results showed that the presence/absence of aquatic plant communities and the community composition in freshwater lakes can be utilized to assess the pressure of eutrophication on lake ecosystems. Taxonomic reference : Euro+Med (2006–). Abbreviations : MNT = Mean number of taxa; WFD = Water Framework Directive.
Type of Medium:
Online Resource
ISSN:
2683-0671
DOI:
10.3897/VCS/2020/48377
DOI:
10.3897/VCS/2020/48377.figure1
DOI:
10.3897/VCS/2020/48377.figure2
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10.3897/VCS/2020/48377.figure3
DOI:
10.3897/VCS/2020/48377.suppl1
DOI:
10.3897/VCS/2020/48377.suppl2
DOI:
10.3897/VCS/2020/48377.suppl3
DOI:
10.3897/VCS/2020/48377.suppl4
DOI:
10.3897/VCS/2020/48377.suppl5
DOI:
10.3897/VCS/2020/48377.suppl6
Language:
Unknown
Publisher:
Pensoft Publishers
Publication Date:
2020
detail.hit.zdb_id:
3025473-5