Fine-grain beta diversity of Palaearctic grassland vegetation
Ikusi/ Ireki
Data
2021-05-22Egilea
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
Cancellieri, Laura
Carboni, Marta
Ciaschetti, Giampiero
Conradi, Timo
De Frenne, Pieter
Dolezal, Jiri
Dolnik, Christian
Essl, Franz
Fantinato, Edy
Giusso del Galdo, Gian Pietro
Grytnes, John‐Arvid
Guarino, Riccardo
Güler, Behlül
Kapfer, Jutta
Klichowska, Ewelina
Kozub, Łukasz
Kuzemko, Anna
Löbel, Swantje
Manthey, Michael
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
Willner, Wolfgang
Winkler, Manuela
Wolfrum, Sebastian
Zhang, Jinghui
Journal Of Vegetation Science 32(3) : (2021) // Article ID e13045
Laburpena
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 m(2) and 1,024 m(2) 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.