Species-area relationships in continuous vegetation: Evidence from Palaearctic grasslands
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F20%3A43901213" target="_blank" >RIV/60076658:12310/20:43901213 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/19:10409523 RIV/67985939:_____/20:00533926
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jbi.13697" target="_blank" >https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jbi.13697</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/jbi.13697" target="_blank" >10.1111/jbi.13697</a>
Alternative languages
Result language
angličtina
Original language name
Species-area relationships in continuous vegetation: Evidence from Palaearctic grasslands
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Biogeography
ISSN
0305-0270
e-ISSN
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Volume of the periodical
47
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
15
Pages from-to
72-86
UT code for WoS article
000509327100006
EID of the result in the Scopus database
2-s2.0-85073966067