Drivers of plant diversity in Bulgarian dry grasslands vary across spatial scales and functional‐taxonomic groups. (13th September 2020)

• Record Type: Journal Article
• Authors: Dembicz, Iwona; Velev, Nikolay; Boch, Steffen; Janišová, Monika; Palpurina, Salza; Pedashenko, Hristo; Vassilev, Kiril; Dengler, Jürgen
• Editors: Bruun, Hans Henrik
• Is Part Of: Journal of vegetation science. Volume 32:Number 1(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-09-13
• Subjects: alpha‐diversity -- beta diversity -- bryophyte -- diversity–environment relationship -- dry grassland -- lichen -- nested plot -- Raunkiaer life form -- scale dependence -- species richness -- species–area relationship -- vascular plant; Plant ecology -- Periodicals; Plant communities -- Periodicals; Plant populations -- Periodicals; 581.7
• DOI: 10.1111/jvs.12935
• Languages: English
• ISSNs: 1100-9233

Abstract

Abstract: Questions: 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‐m 2 plots and 15 nested‐plot series with seven grain sizes (0.0001–100 m 2 ) 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‐m 2 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. Abstract : We analysed drivers of species richness of vascular plants, bryophytes, lichens and functional groups of vascular plants in Bulgarian dry grasslands across seven spatial scales (0.0001–100 m 2 ) with multi‐model inference. We found strong differences in environmental factors shaping richness among these groups and across scales. The high explanatory power of grassland site highlights the importance of the regional context.