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  5. Species–area relationships in continuous vegetation: Evidence from Palaearctic grasslands

Species–area relationships in continuous vegetation: Evidence from Palaearctic grasslands

Author(s)
Dengler, Jürgen
Matthews, Thomas J.
Steinbauer, Manuel J.
Wolfrum, Sebastian
Boch, Steffen
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Date Issued
2020
Type
article
Volume
47
Issue
1
Start Page
72
End Page
86
DOI
10.1111/jbi.13697
Journal
JOURNAL OF BIOGEOGRAPHY  
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 cm2 to 1,024 m2. 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
Handle
http://hdl.handle.net/2067/52811
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