Determining macrophyte species richness and dark diversity sources – A novel approach to improve the biodiversity estimation based on species traits

cris.virtual.author-orcid0000-0002-8196-333X
cris.virtual.author-orcid0000-0002-0929-5285
cris.virtual.author-orcid0000-0002-8514-5449
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid97286f2f-3fa8-4192-89a2-5ba580185c1c
cris.virtualsource.author-orcida59124fb-16e6-4640-b90f-907536b11f95
cris.virtualsource.author-orcid0e58100d-9317-4213-93ad-a314751fcd69
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
dc.abstract.enBiodiversity measures deliver valuable ecological information by reflecting a range of ecosystem processes. However, the accuracy of environmental assessment based on species patterns may often be affected by insufficient survey details. The comprehensive evaluation of plant taxa richness in rivers requires an extensive sampling effort. The use of Hill numbers and Chao estimators improves species diversity assessment based on a feasible number of samples. The aim of this work was to identify macrophyte groups, associated with various species traits, which are rich in species, as well as those whose detection is particularly difficult as it requires an exceptional sampling effort (sources of dark diversity). Analyses were performed with the use of Hill numbers and Chao estimators. It was shown that the field identification of all estimated macrophytes is particularly difficult for low trophy indicators and generally submerged plants, as well as for small-leaved species. A field survey encompassing the full (expected) macrophyte diversity encountered within a river is easiest to perform in the case of free-floating plants and large-leaved macrophytes, as well as for species with high trophic tolerance. The study proved that ecological assessment of rivers based on a small number of sampling units may lead to incorrect diversity estimates. Conversely, the estimation of diversity patterns at the level of the Shannon and Simpson indices does not require extensive sampling, and the extrapolation approach is not needed. The effectiveness of diversity assessment in fluvial ecosystems can be increased by extrapolation of gray diversity which can be considered in planning of monitoring programs. Moreover even estimated dark diversity bight be already efficient to identify ecological pattern and when comparing biodiversity across regions and ecosystems.
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliationWydział Rolnictwa, Ogrodnictwa i Bioinżynierii
dc.affiliation.instituteKatedra Ekologii i Ochrony Środowiska
dc.affiliation.instituteKatedra Metod Matematycznych i Statystycznych
dc.contributor.authorSzoszkiewicz, Krzysztof
dc.contributor.authorBudka, Anna
dc.contributor.authorŁacka, Agnieszka
dc.contributor.authorPietruczuk, Karol
dc.date.access2025-11-06
dc.date.accessioned2025-11-06T12:44:46Z
dc.date.available2025-11-06T12:44:46Z
dc.date.copyright2021-11-14
dc.date.issued2022
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if9,8
dc.description.number10 April 2022
dc.description.points200
dc.description.versionfinal_published
dc.description.volume816
dc.identifier.doi10.1016/j.scitotenv.2021.151496
dc.identifier.eissn1879-1026
dc.identifier.issn0048-9697
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/5783
dc.identifier.weblinkhttps://www.sciencedirect.com/science/article/pii/S0048969721065748?via%3Dihub
dc.languageen
dc.relation.ispartofScience of The Total Environment
dc.rightsCC-BY-NC-ND
dc.sciencecloudnosend
dc.share.typeOTHER
dc.subject.enrivers
dc.subject.enmacrophytes
dc.subject.enbiodiversity
dc.subject.enHill numbers
dc.subject.enChao estimators
dc.subject.enextrapolation
dc.subject.enbiodiversity profile
dc.titleDetermining macrophyte species richness and dark diversity sources – A novel approach to improve the biodiversity estimation based on species traits
dc.title.volumeart. 151496
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.volume816