Taxonomic and functional diversity covary in rock pool microalgal communities despite their different drivers

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dc.contributor.author Aarnio, Sonja
dc.contributor.author Soininen, Janne
dc.date.accessioned 2021-09-23T12:19:01Z
dc.date.available 2021-09-23T12:19:01Z
dc.date.issued 2021-09
dc.identifier.citation Aarnio , S & Soininen , J 2021 , ' Taxonomic and functional diversity covary in rock pool microalgal communities despite their different drivers ' , Ecology and Evolution , vol. 11 , no. 17 , pp. 11852-11873 . https://doi.org/10.1002/ece3.7953
dc.identifier.other PURE: 167747222
dc.identifier.other PURE UUID: 529b3891-1977-4095-8716-522ff01568fd
dc.identifier.other WOS: 000678661000001
dc.identifier.other ORCID: /0000-0002-8583-3137/work/100453877
dc.identifier.uri http://hdl.handle.net/10138/334565
dc.description.abstract Local biodiversity has traditionally been estimated with taxonomic diversity metrics such as species richness. Recently, the concept of biodiversity has been extended beyond species identity by ecological traits determining the functional role of a species in a community. This interspecific functional diversity typically responds more strongly to local environmental variation compared with taxonomic diversity, while taxonomic diversity may mirror more strongly dispersal processes compared with functional metrics. Several trait-based indices have been developed to measure functional diversity for various organisms and habitat types, but studies of their applicability on aquatic microbial communities have been underrepresented. We examined the drivers and covariance of taxonomic and functional diversity among diatom rock pool communities on the Baltic Sea coast. We quantified three taxonomic (species richness, Shannon's diversity, and Pielou's evenness) and three functional (functional richness, evenness, and divergence) diversity indices and determined abiotic factors best explaining variation in these indices by generalized linear mixed models. The six diversity indices were highly collinear except functional evenness, which merely correlated significantly with taxonomic evenness. All diversity indices were always explained by water conductivity and temperature-sampling month interaction. Taxonomic diversity was further consistently explained by pool distance to the sea, and functional richness and divergence by pool location. The explained variance in regression models did not markedly differ between taxonomic and functional metrics. Our findings do not clearly support the superiority of neither set of diversity indices in explaining coastal microbial diversity, but rather highlight the general overlap among the indices. However, as individual metrics may be driven by different factors, the greatest advantage in assessing biodiversity is nevertheless probably achieved with a simultaneous application of the taxonomic and functional diversity metrics. en
dc.format.extent 22
dc.language.iso eng
dc.relation.ispartof Ecology and Evolution
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject brackish
dc.subject diatom
dc.subject diversity index
dc.subject environmental
dc.subject functional guild
dc.subject trait
dc.subject PHYTOPLANKTON COMMUNITIES
dc.subject ENVIRONMENT RELATIONSHIPS
dc.subject RELATIVE IMPORTANCE
dc.subject ECOLOGICAL GUILDS
dc.subject SPECIES RICHNESS
dc.subject MODEL SYSTEMS
dc.subject DISPERSAL
dc.subject BIODIVERSITY
dc.subject PATTERNS
dc.subject PRODUCTIVITY
dc.subject 1181 Ecology, evolutionary biology
dc.title Taxonomic and functional diversity covary in rock pool microalgal communities despite their different drivers en
dc.type Article
dc.contributor.organization Department of Geosciences and Geography
dc.contributor.organization Biosciences
dc.contributor.organization Helsinki Institute of Sustainability Science (HELSUS)
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1002/ece3.7953
dc.relation.issn 2045-7758
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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