Drivers of plant diversity in Bulgarian dry grasslands vary across spatial scales and functional-taxonomic groups
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F21%3A00120998" target="_blank" >RIV/00216224:14310/21:00120998 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1111/jvs.12935" target="_blank" >https://doi.org/10.1111/jvs.12935</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/jvs.12935" target="_blank" >10.1111/jvs.12935</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Drivers of plant diversity in Bulgarian dry grasslands vary across spatial scales and functional-taxonomic groups
Popis výsledku v původním jazyce
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 thez-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. Thez-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.
Název v anglickém jazyce
Drivers of plant diversity in Bulgarian dry grasslands vary across spatial scales and functional-taxonomic groups
Popis výsledku anglicky
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 thez-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. Thez-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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10611 - Plant sciences, botany
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Vegetation Science
ISSN
1100-9233
e-ISSN
1654-1103
Svazek periodika
32
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
14
Strana od-do
1-14
Kód UT WoS článku
000568612700001
EID výsledku v databázi Scopus
2-s2.0-85090858091