Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-20532
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dc.contributor.authorDembicz, Iwona-
dc.contributor.authorVelev, Nikolay-
dc.contributor.authorBoch, Steffen-
dc.contributor.authorJanišová, Monika-
dc.contributor.authorPalpurina, Salza-
dc.contributor.authorPedashenko, Hristo-
dc.contributor.authorVassilev, Kiril-
dc.contributor.authorDengler, Jürgen-
dc.date.accessioned2020-10-01T14:22:37Z-
dc.date.available2020-10-01T14:22:37Z-
dc.date.issued2020-09-
dc.identifier.issn1100-9233de_CH
dc.identifier.issn1654-1103de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/20532-
dc.description.abstractQuestions: Studying dry grasslands in a previously unexplored region, we asked: (a) which environmental factors drive the diversity patterns in vegetation; (b) are taxonomic groups (vascular plants, bryophytes, lichens) and functional vascular plant groups differently affected; and (c) how is fine-grain beta diversity affected by environmental drivers? Location: Northwestern and Central Bulgaria. Methods: We sampled environmental data and vascular plant, terricolous bryophyte and lichen species in 97 10-m2 plots and 15 nested-plot series with seven grain sizes (0.0001–100 m2) of ten grassland sites within the two regions. We used species richness as measure of alpha-diversity and the z-value of the power-law species–area relationship as measure of beta-diversity. We analysed effects of landscape, topographic, soil and land-use variables on the species richness of the different taxonomic and functional groups. We applied generalised linear models (GLMs) or, in the presence of spatial autocorrelation, generalised linear mixed-effect models (GLMMs) in a multi-model inference framework. Results: The main factors affecting total and vascular plant species richness in 10-m2 plots were soil pH (unimodal) and inclination (negative). Species richness of bryophytes was positively affected by rock cover, sand proportion and negatively by inclination. Inclination and litter cover were also negative predictors of lichen species richness. Elevation negatively affected phanerophyte and therophyte richness, but positively that of cryptophytes. A major part of unexplained variance in species richness was associated with the grassland site. The z-values for total richness showed a positive relationship with elevation and inclination. Conclusions: Environmental factors shaping richness patterns strongly differed among taxonomic groups, functional vascular plant groups and spatial scales. The disparities between our and previous findings suggest that many drivers of biodiversity cannot be generalised but rather depend on the regional context. The large unexplained variance at the site level calls for considering more site-related factors such as land-use history.de_CH
dc.language.isoende_CH
dc.publisherWileyde_CH
dc.relation.ispartofJournal of Vegetation Sciencede_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectAlpha‐diversityde_CH
dc.subjectBeta diversityde_CH
dc.subjectBryophytede_CH
dc.subjectDiversity–environment relationshipde_CH
dc.subjectDry grasslandde_CH
dc.subjectLichende_CH
dc.subjectNested plotde_CH
dc.subjectRaunkiaer life formde_CH
dc.subjectScale dependencede_CH
dc.subjectSpecies richnessde_CH
dc.subjectSpecies–area relationshipde_CH
dc.subjectVascular plantde_CH
dc.subject.ddc577: Ökologiede_CH
dc.subject.ddc580: Pflanzen (Botanik)de_CH
dc.titleDrivers of plant diversity in Bulgarian dry grasslands vary across spatial scales and functional‐taxonomic groupsde_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.doi10.1111/jvs.12935de_CH
dc.identifier.doi10.21256/zhaw-20532-
zhaw.funding.euNode_CH
zhaw.issue1de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.starte12935de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume32de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedVegetationsökologiede_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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Dembicz, I., Velev, N., Boch, S., Janišová, M., Palpurina, S., Pedashenko, H., Vassilev, K., & Dengler, J. (2020). Drivers of plant diversity in Bulgarian dry grasslands vary across spatial scales and functional‐taxonomic groups. Journal of Vegetation Science, 32(1), e12935. https://doi.org/10.1111/jvs.12935
Dembicz, I. et al. (2020) ‘Drivers of plant diversity in Bulgarian dry grasslands vary across spatial scales and functional‐taxonomic groups’, Journal of Vegetation Science, 32(1), p. e12935. Available at: https://doi.org/10.1111/jvs.12935.
I. Dembicz et al., “Drivers of plant diversity in Bulgarian dry grasslands vary across spatial scales and functional‐taxonomic groups,” Journal of Vegetation Science, vol. 32, no. 1, p. e12935, Sep. 2020, doi: 10.1111/jvs.12935.
DEMBICZ, Iwona, Nikolay VELEV, Steffen BOCH, Monika JANIŠOVÁ, Salza PALPURINA, Hristo PEDASHENKO, Kiril VASSILEV und Jürgen DENGLER, 2020. Drivers of plant diversity in Bulgarian dry grasslands vary across spatial scales and functional‐taxonomic groups. Journal of Vegetation Science. September 2020. Bd. 32, Nr. 1, S. e12935. DOI 10.1111/jvs.12935
Dembicz, Iwona, Nikolay Velev, Steffen Boch, Monika Janišová, Salza Palpurina, Hristo Pedashenko, Kiril Vassilev, and Jürgen Dengler. 2020. “Drivers of Plant Diversity in Bulgarian Dry Grasslands Vary across Spatial Scales and Functional‐Taxonomic Groups.” Journal of Vegetation Science 32 (1): e12935. https://doi.org/10.1111/jvs.12935.
Dembicz, Iwona, et al. “Drivers of Plant Diversity in Bulgarian Dry Grasslands Vary across Spatial Scales and Functional‐Taxonomic Groups.” Journal of Vegetation Science, vol. 32, no. 1, Sept. 2020, p. e12935, https://doi.org/10.1111/jvs.12935.


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