Fine‐grain beta diversity of Palaearctic grassland vegetation. (23rd June 2021)

• Record Type: Journal Article
• Authors: Dembicz, Iwona; Dengler, Jürgen; Steinbauer, Manuel J.; Matthews, Thomas J.; Bartha, Sándor; Burrascano, Sabina; Chiarucci, Alessandro; Filibeck, Goffredo; Gillet, François; Janišová, Monika; Palpurina, Salza; Storch, David; Ulrich, Werner; Aćić, Svetlana; Boch, Steffen; Campos, Juan Antonio; Cancellieri, Laura; Carboni, Marta; Ciaschetti, Giampiero; Conradi, Timo; De Frenne, Pieter; Dolezal, Jiri; Dolnik, Christian; Essl, Franz; Fantinato, Edy; García‐Mijangos, Itziar; Giusso del Galdo, Gian Pietro; Grytnes, John‐Arvid; Guarino, Riccardo; Güler, Behlül; Kapfer, Jutta; Klichowska, Ewelina; Kozub, Łukasz; Kuzemko, Anna; Löbel, Swantje; Manthey, Michael; Marcenò, Corrado; Mimet, Anne; Naqinezhad, Alireza; Noroozi, Jalil; Nowak, Arkadiusz; Pauli, Harald; Peet, Robert K.; Pellissier, Vincent; Pielech, Remigiusz; Terzi, Massimo; Uğurlu, Emin; Valkó, Orsolya; Vasheniak, Iuliia; Vassilev, Kiril; Vynokurov, Denys; White, Hannah J.; Willner, Wolfgang; Winkler, Manuela; Wolfrum, Sebastian; Zhang, Jinghui; Biurrun, Idoia;
• Editors: Kreft, Holger
• Is Part Of: Journal of vegetation science. Volume 32:Number 3(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-06-23
• Subjects: disturbance -- elevation -- fine‐grain beta diversity -- heterogeneity -- land use -- macroecology -- mean occupancy -- Palaearctic grassland -- productivity -- scale dependence -- species–area relationship (SAR) -- z‐value; Plant ecology -- Periodicals; Plant communities -- Periodicals; Plant populations -- Periodicals; 581.7
• DOI: 10.1111/jvs.13045
• Languages: English
• ISSNs: 1100-9233

Abstract

Abstract: Questions: 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 R ² = 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. Abstract : We analysed fine‐grain beta diversity of grasslands and other open habitats in the Palaearctic using 4, 654 nested‐plot series and the z ‐values of power‐law species–area relationships. Mean z ‐values were highest for lichens, intermediate for vascular plants and lowest for bryophytes. The strongest environmental predictors of z ‐values were herb layer cover (negative), elevation (positive), rock and stone cover (positive) and the c ‐value (U‐shaped). In a conceptual figure, we summarize the resulting hypotheses how different predictors could influence z ‐values via mean occupancy.