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    Scale dependence of species–area relationships is widespread but generally weak in Palaearctic grasslands

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    Scale dependence of species–area relationships is widespread but generally weak in Palaearctic grasslands.pdf (2.035Mb)
    Date
    2021-05-01
    Author
    Zhang, Jinghui
    Gillet, François
    Bartha, Sándor
    Alatalo, Juha Mikael
    Biurrun, Idoia
    Dembicz, Iwona
    Grytnes, John Arvid
    Jaunatre, Renaud
    Pielech, Remigiusz
    Van Meerbeek, Koenraad
    Vynokurov, Denys
    Widmer, Stefan
    Aleksanyan, Alla
    Bhatta, Kuber Prasad
    Campos, Juan Antonio
    Czortek, Patryk
    Dolezal, Jiri
    Essl, Franz
    García-Mijangos, Itziar
    Guarino, Riccardo
    Güler, Behlül
    Hájek, Michal
    Kuzemko, Anna
    Li, Frank Yonghong
    Löbel, Swantje
    Moradi, Halime
    Naqinezhad, Alireza
    Silva, Vasco
    Šmerdová, Eva
    Sonkoly, Judit
    Stifter, Simon
    Talebi, Amir
    Török, Péter
    White, Hannah
    Wu, Jianshuang
    Dengler, Jürgen
    ...show more authors ...show less authors
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    Abstract
    Questions: Species–area relationships (SARs) are fundamental for understanding biodiversity patterns and are generally well described by a power law with a constant exponent z. However, z-values sometimes vary across spatial scales. We asked whether there is a general scale dependence of z-values at fine spatial grains and which potential drivers influence it. Location: Palaearctic biogeographic realm. Methods: We used 6,696 nested-plot series of vascular plants, bryophytes and lichens from the GrassPlot database with two or more grain sizes, ranging from 0.0001 m² to 1,024 m² and covering diverse open habitats. The plots were recorded with two widespread sampling approaches (rooted presence = species “rooting” inside the plot; shoot presence = species with aerial parts inside). Using Generalized Additive Models, we tested for scale dependence of z-values by evaluating if the z-values differ with gran size and tested for differences between the sampling approaches. The response shapes of z-values to grain were classified by fitting Generalized Linear Models with logit link to each series. We tested whether the grain size where the maximum z-value occurred is driven by taxonomic group, biogeographic or ecological variables. Results: For rooted presence, we found a strong monotonous increase of z-values with grain sizes for all grain sizes below 1 m². For shoot presence, the scale dependence was much weaker, with hump-shaped curves prevailing. Among the environmental variables studied, latitude, vegetation type, naturalness and land use had strong effects, with z-values of secondary peaking at smaller grain sizes. Conclusions: The overall weak scale dependence of z-values underlines that the power function generally is appropriate to describe SARs within the studied grain sizes in continuous open vegetation, if recorded with the shoot presence method. When clear peaks of z-values occur, this can be seen as an expression of granularity of species composition, partly driven by abiotic environment.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85109201038&origin=inward
    DOI/handle
    http://dx.doi.org/10.1111/jvs.13044
    http://hdl.handle.net/10576/21422
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