Species–area relationships in continuous vegetation: Evidence from Palaearctic grasslands
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2020-01Author
Dengler, Jürgen
Matthews, Thomas J.
Steinbauer, Manuel J.
Wolfrum, Sebastian
Boch, Steffen
Chiarucci, Alessandro
Conradi, Timo
Dembicz, Iwona
Nowak, Arkadiusz
Storch, David
Ulrich, Werner
Cancellieri, Laura
Carboni, Marta
Ciaschetti, Giampiero
De Frenne, Pieter
Dolezal, Jiri
Dolnik, Christian
Essl, Franz
Fantinato, Edy
Filibeck, Goffredo
Grytnes, John‐Arvid
Guarino, Riccardo
Güler, Behlül
Janišová, Monika
Klichowska, Ewelina
Kozub, Łukasz
Kuzemko, Anna
Manthey, Michael
Mimet, Anne
Naqinezhad, Alireza
Pedersen, Christian
Peet, Robert K.
Pellissier, Vincent
Pielech, Remigiusz
Potenza, Giovanna
Rosati, Leonardo
Terzi, Massimo
Valkó, Orsolya
Vynokurov, Denys
White, Hannah
Winkler, Manuela
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Journal of Biogeography 47(1) : 72-86 (2020)
Abstract
Aim Species-area relationships (SARs) are fundamental scaling laws in ecology although their shape is still disputed. At larger areas, power laws best represent SARs. Yet, it remains unclear whether SARs follow other shapes at finer spatial grains in continuous vegetation. We asked which function describes SARs best at small grains and explored how sampling methodology or the environment influence SAR shape. Location Palaearctic grasslands and other non-forested habitats. Taxa Vascular plants, bryophytes and lichens. Methods We used the GrassPlot database, containing standardized vegetation-plot data from vascular plants, bryophytes and lichens spanning a wide range of grassland types throughout the Palaearctic and including 2,057 nested-plot series with at least seven grain sizes ranging from 1 cm(2) to 1,024 m(2). Using nonlinear regression, we assessed the appropriateness of different SAR functions (power, power quadratic, power breakpoint, logarithmic, Michaelis-Menten). Based on AICc, we tested whether the ranking of functions differed among taxonomic groups, methodological settings, biomes or vegetation types. Results The power function was the most suitable function across the studied taxonomic groups. The superiority of this function increased from lichens to bryophytes to vascular plants to all three taxonomic groups together. The sampling method was highly influential as rooted presence sampling decreased the performance of the power function. By contrast, biome and vegetation type had practically no influence on the superiority of the power law. Main conclusions We conclude that SARs of sessile organisms at smaller spatial grains are best approximated by a power function. This coincides with several other comprehensive studies of SARs at different grain sizes and for different taxa, thus supporting the general appropriateness of the power function for modelling species diversity over a wide range of grain sizes. The poor performance of the Michaelis-Menten function demonstrates that richness within plant communities generally does not approach any saturation, thus calling into question the concept of minimal area.
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Except where otherwise noted, this item's license is described as 2019 The Authors. Journal of Biogeography published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.