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dc.contributor.authorUlrich, Werner
dc.contributor.authorMatthews, Thomas J.
dc.contributor.authorBiurrun Galarraga, Miren Idoia ORCID
dc.contributor.authorCampos Prieto, Juan Antonio ORCID
dc.contributor.authorCzortek, Patryk
dc.contributor.authorDembicz, Iwona
dc.contributor.authorEssl, Franz
dc.contributor.authorFilibeck, Goffredo
dc.contributor.authorGiusso del Galdo, Gian Pietro
dc.contributor.authorGuler, Behlul
dc.contributor.authorNaqinezhad, Alireza
dc.contributor.authorTorok, Peter
dc.contributor.authorDengler, Juergen
dc.date.accessioned2022-09-02T09:02:13Z
dc.date.available2022-09-02T09:02:13Z
dc.date.issued2022-08
dc.identifier.citationEcology 103(8) : (2022) // Article ID e3725es_ES
dc.identifier.issn0012-9658
dc.identifier.issn1939-9170
dc.identifier.urihttp://hdl.handle.net/10810/57420
dc.description.abstract[EN] Species abundance distributions (SADs) link species richness with species abundances and are an important tool in the quantitative analysis of ecological communities. Niche-based and sample-based SAD models predict different spatial scaling properties of SAD parameters. However, empirical research on SAD scaling properties is largely missing. Here we extracted percentage cover values of all occurring vascular plants as proxies of their abundance in 1725 10-m(2) plots from the GrassPlot database, covering 47 regional data sets of 19 different grasslands and other open vegetation types of the Palaearctic biogeographic realm. For each plot, we fitted the Weibull distribution, a model that is able to effectively mimic other distributions like the log-series and lognormal, to the species-log abundance rank order distribution. We calculated the skewness and kurtosis of the empirical distributions and linked these moments, along with the shape and scale parameters of the Weibull distribution, to plot climatic and soil characteristics. The Weibull distribution provided excellent fits to grassland plant communities and identified four basic types of communities characterized by different degrees of dominance. Shape and scale parameter values of local communities on poorer soils were largely in accordance with log-series distributions. Proportions of subdominant species tended to be lower than predicted by the standard lognormal SAD. Successive accumulation of plots of the same vegetation type yielded nonlinear spatial scaling of SAD moments and Weibull parameters. This scaling was largely independent of environmental correlates and geographic plot position. Our findings caution against simple generalizations about the mechanisms that generate SADs. We argue that in grasslands, lognormal-type SADs tend to prevail within a wider range of environmental conditions, including more extreme habitats such as arid environments. In contrast, log-series distributions are mainly restricted to comparatively species-rich communities on humid and fertile soils.es_ES
dc.description.sponsorshipWe thank all vegetation scientists who carefully collected the plant diversity data and contributed them to GrassPlot. The Eurasian Dry Grassland Group (EDGG) and the International Association for Vegetation Science (IAVS) supported the EDGG field workshops, which generated a core part of the GrassPlot data. The Bavarian Research Alliance (via the BayIntAn scheme) and the Bayreuth Center of Ecology and Environmental Research (BayCEER) funded the initial GrassPlot workshop during which the database was established (grants to Jurgen Dengler). Werner Ulrich acknowledges support from the Polish National Science Centre (Grant 2017/27/B/NZ8/00316). Idoia Biurrun and Juan Antonio Campos were partly supported by the Basque Government (IT936-16). Goffredo Filibeck was partly supported by the MIUR initiative "Department of Excellence" (Law 232/2016) granted to DAFNE. Peter Torok was supported by the NKFIH K 119225 and K 137573 projects and the HAS Momentum Program during the manuscript preparation. Franz Essl appreciates funding by the Austrian Science Foundation FWF (Grant I 3757-B29).es_ES
dc.language.isoenges_ES
dc.publisherWileyes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectlognormal distributiones_ES
dc.subjectlog series distributiones_ES
dc.subjectPalaearctic grasslandes_ES
dc.subjectplant coverspatial scalinges_ES
dc.subjectspecies abundancees_ES
dc.subjectWeibull distributiones_ES
dc.titleEnvironmental drivers and spatial scaling of species abundance distributions in Palaearctic grassland vegetationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2022 The Authors.Ecologypublished by Wiley Periodicals LLC on behalf of The Ecological Society of America. This is an open access article under the terms of theCreative Commons AttributionLicense, which permits use, distribution and reproduction in any medium, providedthe original work is properly cited.es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecy.3725es_ES
dc.identifier.doi10.1002/ecy.3725
dc.departamentoesBiología vegetal y ecologíaes_ES
dc.departamentoeuLandaren biologia eta ekologiaes_ES


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© 2022 The Authors.Ecologypublished by Wiley Periodicals LLC on behalf of The Ecological Society of America. This is an open access article under the terms of theCreative Commons AttributionLicense, which permits use, distribution and reproduction in any medium, providedthe original work is properly cited.
Except where otherwise noted, this item's license is described as © 2022 The Authors.Ecologypublished by Wiley Periodicals LLC on behalf of The Ecological Society of America. This is an open access article under the terms of theCreative Commons AttributionLicense, which permits use, distribution and reproduction in any medium, providedthe original work is properly cited.