Scale- and taxon-dependent biodiversity patterns of dry grassland vegetation in Transylvania (Romania).

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F14%3A00074909" target="_blank" >RIV/00216224:14310/14:00074909 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.agee.2013.10.028" target="_blank" >http://dx.doi.org/10.1016/j.agee.2013.10.028</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.agee.2013.10.028" target="_blank" >10.1016/j.agee.2013.10.028</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Scale- and taxon-dependent biodiversity patterns of dry grassland vegetation in Transylvania (Romania).

Popis výsledku v původním jazyce

Patterns of biodiversity may vary across spatial scales and between taxonomic groups; therefore, specific studies are needed to provide insights into factors driving community structure. Semi-natural grasslands are among the most biodiverse ecosystems, providing a suitable model for examining key ecological mechanisms. We analysed dry grasslands in Transylvania (Romania), which harbor extraordinarily species-rich plant communities, including the global maxima for two small grain sizes. We sampled data of vascular plants, bryophytes, and lichens in both nested and separate plots. We used soil, topographic, climatic, and land-use variables as predictors. Species richness at seven grain sizes (0.0001?100 m2) was modeled as a function of these predictors by generalized linear models, followed by multimodel inference over all possible variable combinations with AICc.

Název v anglickém jazyce

Scale- and taxon-dependent biodiversity patterns of dry grassland vegetation in Transylvania (Romania).

Popis výsledku anglicky

Patterns of biodiversity may vary across spatial scales and between taxonomic groups; therefore, specific studies are needed to provide insights into factors driving community structure. Semi-natural grasslands are among the most biodiverse ecosystems, providing a suitable model for examining key ecological mechanisms. We analysed dry grasslands in Transylvania (Romania), which harbor extraordinarily species-rich plant communities, including the global maxima for two small grain sizes. We sampled data of vascular plants, bryophytes, and lichens in both nested and separate plots. We used soil, topographic, climatic, and land-use variables as predictors. Species richness at seven grain sizes (0.0001?100 m2) was modeled as a function of these predictors by generalized linear models, followed by multimodel inference over all possible variable combinations with AICc.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EF - Botanika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Agriculture, Ecosystems & Environment

ISSN

0167-8809

e-ISSN

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Svazek periodika

182

Číslo periodika v rámci svazku

JANUARY

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

10

Strana od-do

15-24

Kód UT WoS článku

000332821500002

EID výsledku v databázi Scopus

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