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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-26830
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dc.contributor.authorUlrich, Werner-
dc.contributor.authorMatthews, Thomas J.-
dc.contributor.authorBiurrun, Idoia-
dc.contributor.authorCampos, Juan Antonio-
dc.contributor.authorCzortek, Patryk-
dc.contributor.authorDembicz, Iwona-
dc.contributor.authorEssl, Franz-
dc.contributor.authorFilibeck, Goffredo-
dc.contributor.authorDel Galdo, Gian-Pietro Giusso-
dc.contributor.authorGüler, Behlül-
dc.contributor.authorNaqinezhad, Alireza-
dc.contributor.authorTörök, Péter-
dc.contributor.authorDengler, Jürgen-
dc.date.accessioned2023-02-09T10:37:20Z-
dc.date.available2023-02-09T10:37:20Z-
dc.date.issued2022-08-
dc.identifier.issn0012-9658de_CH
dc.identifier.issn1939-9170de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/26830-
dc.description.abstractSpecies 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-m2 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.de_CH
dc.language.isoende_CH
dc.publisherWileyde_CH
dc.relation.ispartofEcologyde_CH
dc.rightshttps://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectPalaearctic grasslandde_CH
dc.subjectWeibull distributionde_CH
dc.subjectLog-series distributionde_CH
dc.subjectLognormal distributionde_CH
dc.subjectPlant coverde_CH
dc.subjectSpatial scalingde_CH
dc.subjectSpecies abundancede_CH
dc.subjectBiodiversityde_CH
dc.subjectBiotade_CH
dc.subjectSoilde_CH
dc.subjectEcosystemde_CH
dc.subjectGrasslandde_CH
dc.subject.ddc333.7: Landflächen, Naturerholungsgebietede_CH
dc.subject.ddc577: Ökologiede_CH
dc.titleEnvironmental drivers and spatial scaling of species abundance distributions in Palaearctic grassland vegetationde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Umwelt und Natürliche Ressourcen (IUNR)de_CH
dc.identifier.doi10.1002/ecy.3725de_CH
dc.identifier.doi10.21256/zhaw-26830-
dc.identifier.pmid35416279de_CH
zhaw.funding.euNode_CH
zhaw.issue8de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.starte3725de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume103de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedVegetationsökologiede_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
zhaw.relation.referenceshttps://doi.org/10.6084/m9.figshare.16870641de_CH
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Ulrich, W., Matthews, T. J., Biurrun, I., Campos, J. A., Czortek, P., Dembicz, I., Essl, F., Filibeck, G., Del Galdo, G.-P. G., Güler, B., Naqinezhad, A., Török, P., & Dengler, J. (2022). Environmental drivers and spatial scaling of species abundance distributions in Palaearctic grassland vegetation. Ecology, 103(8), e3725. https://doi.org/10.1002/ecy.3725
Ulrich, W. et al. (2022) ‘Environmental drivers and spatial scaling of species abundance distributions in Palaearctic grassland vegetation’, Ecology, 103(8), p. e3725. Available at: https://doi.org/10.1002/ecy.3725.
W. Ulrich et al., “Environmental drivers and spatial scaling of species abundance distributions in Palaearctic grassland vegetation,” Ecology, vol. 103, no. 8, p. e3725, Aug. 2022, doi: 10.1002/ecy.3725.
ULRICH, Werner, Thomas J. MATTHEWS, Idoia BIURRUN, Juan Antonio CAMPOS, Patryk CZORTEK, Iwona DEMBICZ, Franz ESSL, Goffredo FILIBECK, Gian-Pietro Giusso DEL GALDO, Behlül GÜLER, Alireza NAQINEZHAD, Péter TÖRÖK und Jürgen DENGLER, 2022. Environmental drivers and spatial scaling of species abundance distributions in Palaearctic grassland vegetation. Ecology. August 2022. Bd. 103, Nr. 8, S. e3725. DOI 10.1002/ecy.3725
Ulrich, Werner, Thomas J. Matthews, Idoia Biurrun, Juan Antonio Campos, Patryk Czortek, Iwona Dembicz, Franz Essl, et al. 2022. “Environmental Drivers and Spatial Scaling of Species Abundance Distributions in Palaearctic Grassland Vegetation.” Ecology 103 (8): e3725. https://doi.org/10.1002/ecy.3725.
Ulrich, Werner, et al. “Environmental Drivers and Spatial Scaling of Species Abundance Distributions in Palaearctic Grassland Vegetation.” Ecology, vol. 103, no. 8, Aug. 2022, p. e3725, https://doi.org/10.1002/ecy.3725.


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