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Within-community environmental variability drives trait variability in species-rich grasslands

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F17%3A43895581" target="_blank" >RIV/60076658:12310/17:43895581 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/67985939:_____/17:00480697

  • Výsledek na webu

    <a href="http://onlinelibrary.wiley.com/doi/10.1111/jvs.12487/epdf" target="_blank" >http://onlinelibrary.wiley.com/doi/10.1111/jvs.12487/epdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/jvs.12487" target="_blank" >10.1111/jvs.12487</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Within-community environmental variability drives trait variability in species-rich grasslands

  • Popis výsledku v původním jazyce

    AimsSpatial environmental heterogeneity has been considered an important co-existence mechanism because environmental variation enables different species to co-occur. We predict that if functional differences are important for co-existence, then both species and functional diversity should be positively related to environmental heterogeneity. LocationThirty three dry calcareous grassland sites in Estonia. MethodsIn each site, we established a transect (10.0mx0.1m), consisting of 100 quadrats (10cmx10cm). In each quadrat, we recorded species richness and composition, and measured soil depth, moisture and light availability. We collected data on eight traits from most of the species found across the sites. We calculated functional diversity (FD) at the quadrat scale, and compared the observed FD to that expected at random using two null models. The first null model used all the species that occurred in the transect in the randomizations to determine environmental filtering from the transect to the quadrat. The second null model restricted the species used in the randomizations to those species whose trait range was within the range of the observed values in the quadrat, to detect evidence for niche partitioning. Quadrat mean trait values and variability in functional composition were then related to small-scale mean environmental conditions and heterogeneity, respectively. ResultsWe found convergent patterns in biomass, specific leaf area, specific root length and clonality compared to randomized communities that included all species occurring in the transect, and found divergence in height and leaf area using the range-restricted null model. Hence, we found patterns consistent with environmental filtering and niche partitioning depending on the traits considered.

  • Název v anglickém jazyce

    Within-community environmental variability drives trait variability in species-rich grasslands

  • Popis výsledku anglicky

    AimsSpatial environmental heterogeneity has been considered an important co-existence mechanism because environmental variation enables different species to co-occur. We predict that if functional differences are important for co-existence, then both species and functional diversity should be positively related to environmental heterogeneity. LocationThirty three dry calcareous grassland sites in Estonia. MethodsIn each site, we established a transect (10.0mx0.1m), consisting of 100 quadrats (10cmx10cm). In each quadrat, we recorded species richness and composition, and measured soil depth, moisture and light availability. We collected data on eight traits from most of the species found across the sites. We calculated functional diversity (FD) at the quadrat scale, and compared the observed FD to that expected at random using two null models. The first null model used all the species that occurred in the transect in the randomizations to determine environmental filtering from the transect to the quadrat. The second null model restricted the species used in the randomizations to those species whose trait range was within the range of the observed values in the quadrat, to detect evidence for niche partitioning. Quadrat mean trait values and variability in functional composition were then related to small-scale mean environmental conditions and heterogeneity, respectively. ResultsWe found convergent patterns in biomass, specific leaf area, specific root length and clonality compared to randomized communities that included all species occurring in the transect, and found divergence in height and leaf area using the range-restricted null model. Hence, we found patterns consistent with environmental filtering and niche partitioning depending on the traits considered.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10619 - Biodiversity conservation

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/GAP505%2F12%2F1296" target="_blank" >GAP505/12/1296: Funkční zásobník druhů: vysvětlení nerealizované diverzity a její funkce</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2017

  • 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

  • Svazek periodika

    28

  • Číslo periodika v rámci svazku

    2

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    10

  • Strana od-do

    303-312

  • Kód UT WoS článku

    000397559100008

  • EID výsledku v databázi Scopus