Fine-grain beta diversity of Palaearctic grassland vegetation

dc.authorid0000-0003-0824-1426en_US
dc.authorscopusid24170041700en_US
dc.contributor.authorUǧurlu, Emin
dc.contributor.authorDembicz I.
dc.contributor.authorDengler J.
dc.contributor.authorSteinbauer M.J.
dc.contributor.authorMatthews T.J.
dc.date.accessioned2022-04-01T08:36:32Z
dc.date.available2022-04-01T08:36:32Z
dc.date.issued2021en_US
dc.departmentBTÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.description.abstractQuestions: Which environmental factors influence fine-grain beta diversity of vegetation and do they vary among taxonomic groups?. Location: Palaearctic biogeographic realm. Methods: We extracted 4,654 nested-plot series with at least four different grain sizes between 0.0001 m² and 1,024 m² from the GrassPlot database, covering a wide range of different grassland and other open habitat types. We derived extensive environmental and structural information for these series. For each series and four taxonomic groups (vascular plants, bryophytes, lichens, all), we calculated the slope parameter (z-value) of the power law species–area relationship (SAR), as a beta diversity measure. We tested whether z-values differed among taxonomic groups and with respect to biogeographic gradients (latitude, elevation, macroclimate), ecological (site) characteristics (several stress–productivity, disturbance and heterogeneity measures, including land use) and alpha diversity (c-value of the power law SAR). Results: Mean z-values were highest for lichens, intermediate for vascular plants and lowest for bryophytes. Bivariate regressions of z-values against environmental variables had rather low predictive power (mean R² = 0.07 for vascular plants, less for other taxa). For vascular plants, the strongest predictors of z-values were herb layer cover (negative), elevation (positive), rock and stone cover (positive) and the c-value (U-shaped). All tested metrics related to land use (fertilization, livestock grazing, mowing, burning, decrease in naturalness) led to a decrease in z-values. Other predictors had little or no impact on z-values. The patterns for bryophytes, lichens and all taxa combined were similar but weaker than those for vascular plants. Conclusions: We conclude that productivity has negative and heterogeneity positive effects on z-values, while the effect of disturbance varies depending on type and intensity. These patterns and the differences among taxonomic groups can be explained via the effects of these drivers on the mean occupancy of species, which is mathematically linked to beta diversity.en_US
dc.identifier.doi10.1111/jvs.13045en_US
dc.identifier.issn11009233
dc.identifier.issue3en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1825
dc.identifier.volume32en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorUǧurlu, Emin
dc.language.isoenen_US
dc.publisherJohn Wiley and Sons Incen_US
dc.relation.ispartofJournal of Vegetation Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectdisturbanceen_US
dc.subjectelevationen_US
dc.subjectfine-grain beta diversityen_US
dc.subjectheterogeneityen_US
dc.subjectland useen_US
dc.subjectmacroecologyen_US
dc.subjectmean occupancyen_US
dc.subjectPalaearctic grasslanden_US
dc.subjectproductivityen_US
dc.subjectscale dependenceen_US
dc.subjectspecies–area relationship (SAR)en_US
dc.subjectz-valueen_US
dc.titleFine-grain beta diversity of Palaearctic grassland vegetationen_US
dc.typeArticleen_US

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