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dc.contributor.authorSporbert, Maria
dc.contributor.authorWelk, Erik
dc.contributor.authorSeidler, Gunnar
dc.contributor.authorJandt, Ute
dc.contributor.authorAcíc, Svetlana
dc.contributor.authorBiurrun, Idoia
dc.contributor.authorCampos, Juan Antonio
dc.contributor.authorČarni, Andraž
dc.contributor.authorCerabolini, Bruno E.L.
dc.contributor.authorChytrý, Milan
dc.contributor.authorCusterevska, Renata
dc.contributor.authorDengler, Jürgen
dc.contributor.authorDe Sanctis, Michele
dc.contributor.authorDziuba, Tetiana
dc.contributor.authorFagúndez, Jamie
dc.contributor.authorField, Richard
dc.contributor.authorGolub, Valentin
dc.contributor.authorHe, Tianhua
dc.contributor.authorJansen, Florian
dc.contributor.authorLenoir, Jonathan
dc.contributor.authorMarcenó, Corrado
dc.contributor.authorMartín-Forés, Irene
dc.contributor.authorMoeslund, Jesper Erenskjold
dc.contributor.authorMoretti, Marco
dc.contributor.authorNiinemets, Ülo
dc.contributor.authorPeñuelas, Josep
dc.contributor.authorPérez-Haase, Aaron
dc.contributor.authorVandvik, Vigdis
dc.contributor.authorVassilev, Kiril
dc.contributor.authorVynokurov, Denys
dc.contributor.authorBruelheide, Helge
dc.date.accessioned2022-04-06T08:12:28Z
dc.date.available2022-04-06T08:12:28Z
dc.date.created2021-09-07T16:32:50Z
dc.date.issued2021
dc.identifier.issn1100-9233
dc.identifier.urihttps://hdl.handle.net/11250/2990082
dc.description.abstractAim Plant functional traits summarize the main variability in plant form and function across taxa and biomes. We assess whether geographic range size, climatic niche size, and local abundance of plants can be predicted by sets of traits (trait syndromes) or are driven by single traits. Location Eurasia. Methods Species distribution maps were extracted from the Chorological Database Halle to derive information on the geographic range size and climatic niche size for 456 herbaceous, dwarf shrub and shrub species. We estimated local species abundances based on 740,113 vegetation plots from the European Vegetation Archive, where abundances were available as plant species cover per plot. We compiled a complete species-by-trait matrix of 20 plant functional traits from trait databases (TRY, BiolFlor and CLO-PLA). The relationships of species’ geographic range size, climatic niche size and local abundance with single traits and trait syndromes were tested with multiple linear regression models. Results Generally, traits were more strongly related to local abundances than to broad-scale species distribution patterns in geographic and climatic space (range and niche size), but both were better predicted by trait combinations than by single traits. Local abundance increased with leaf area and specific leaf area (SLA). Geographic range size and climatic niche size both increased with SLA. While range size increased with plant height, niche size decreased with leaf carbon content. Conclusion Functional traits matter for species’ abundance and distribution at both local and broad geographic scale. Local abundances are associated with different combinations of traits as compared to broad-scale distributions, pointing to filtering by different environmental and ecological factors acting at distinct spatial scales. However, traits related to the leaf economics spectrum were important for species’ abundance and occurrence at both spatial scales. This finding emphasizes the general importance of resource acquisition strategies for the abundance and distribution of herbaceous, dwarf shrub and shrub species.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDifferent sets of traits explain abundance and distribution patterns of European plants at different spatial scalesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2021 The Author(s)en_US
dc.source.articlenumbere13016en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1111/jvs.13016
dc.identifier.cristin1932157
dc.source.journalJournal of Vegetation Science (JVS)en_US
dc.relation.projectNorges forskningsråd: 320602en_US
dc.identifier.citationJournal of Vegetation Science (JVS). 2021, 32 (2), e13016.en_US
dc.source.volume32en_US
dc.source.issue2en_US


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