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AuthorZhang, Jinghui
AuthorGillet, François
AuthorBartha, Sándor
AuthorAlatalo, Juha Mikael
AuthorBiurrun, Idoia
AuthorDembicz, Iwona
AuthorGrytnes, John Arvid
AuthorJaunatre, Renaud
AuthorPielech, Remigiusz
AuthorVan Meerbeek, Koenraad
AuthorVynokurov, Denys
AuthorWidmer, Stefan
AuthorAleksanyan, Alla
AuthorBhatta, Kuber Prasad
AuthorCampos, Juan Antonio
AuthorCzortek, Patryk
AuthorDolezal, Jiri
AuthorEssl, Franz
AuthorGarcía-Mijangos, Itziar
AuthorGuarino, Riccardo
AuthorGüler, Behlül
AuthorHájek, Michal
AuthorKuzemko, Anna
AuthorLi, Frank Yonghong
AuthorLöbel, Swantje
AuthorMoradi, Halime
AuthorNaqinezhad, Alireza
AuthorSilva, Vasco
AuthorŠmerdová, Eva
AuthorSonkoly, Judit
AuthorStifter, Simon
AuthorTalebi, Amir
AuthorTörök, Péter
AuthorWhite, Hannah
AuthorWu, Jianshuang
AuthorDengler, Jürgen
Available date2021-07-13T10:34:17Z
Publication Date2021-05-01
Publication NameJournal of Vegetation Science
Identifierhttp://dx.doi.org/10.1111/jvs.13044
CitationZhang, J, Gillet, F, Bartha, S, et al. Scale dependence of species–area relationships is widespread but generally weak in Palaearctic grasslands. J Veg Sci. 2021; 32:e13044. https://doi.org/10.1111/jvs.13044
ISSN11009233
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85109201038&origin=inward
URIhttp://hdl.handle.net/10576/21422
AbstractQuestions: 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.
Languageen
PublisherWiley
Subjectbeta diversity
grassland
GrassPlot
Heterogeneity
Palaearctic
power law
rooted presence
scale dependence
shoot presence
species–area relationship
vegetation
z-value
TitleScale dependence of species–area relationships is widespread but generally weak in Palaearctic grasslands
TypeArticle
Issue Number3
Volume Number32


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