The effect of niche filtering on plant species abundance in temperate grassland communities

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F22%3A00129151" target="_blank" >RIV/00216224:14310/22:00129151 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1111/1365-2435.13994" target="_blank" >https://doi.org/10.1111/1365-2435.13994</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/1365-2435.13994" target="_blank" >10.1111/1365-2435.13994</a>

Result language

angličtina

Original language name

The effect of niche filtering on plant species abundance in temperate grassland communities

Original language description

Niche filtering predicts that abundant species in communities have similar traits that are suitable for the environment. However, niche filtering can operate on distinct axes of trait variation in response to different ecological conditions. Here, we use a trait-based approach to infer niche filtering processes and (a) test if abundant and rare species in grassland communities are differently positioned along distinct axes of trait variation, (b) determine if these trait variation axes, as well as phylogenetic and functional similarities, drive species relative abundance (above-ground cover) within communities, and (c) explore whether these relationships vary across grassland types and macro-climatic gradients. We analysed species abundance in vegetation plots from temperate grasslands in Central Europe as a function of species position along three axes of trait variation: the 'Plant Size Spectrum' (PSS), the 'Leaf Economics Spectrum' (LES) and the 'Life span/Clonality Spectrum' (LCS). We also used phylogenetic and functional similarities in the multi-dimensional trait space as predictors of species abundance. We compared our results among alpine, wet, mesic and dry grasslands and tested whether the effect of the predictors on species abundance was significant across macro-climatic gradients. Compared to abundant species, rare species in grassland communities were more commonly annual and non-clonal, had lower stature and smaller leaves and seeds, and relied on more acquisitive leaf economics. Our predictors significantly explained species abundance in approximately one-third of the plots. LES was the most important predictor across all plots, with the most prominent effect in alpine and dry grasslands and areas with more extreme temperatures. In contrast, in mesic and wet grasslands and grasslands located in warmer and Correspondence less seasonal regions, species abundance was best predicted by phylogenetic similarities between species, with Poaceae species becoming more abundant. Our study explored trait-abundance relationships for different community types across a large area and broad macro-climatic gradients. We conclude that niche filtering, and particularly resource-acquisition trade-offs, drives species abundance in temperate grassland communities of Central Europe. Our findings emphasize the interaction between local environmental conditions and plant function in determining community assembly.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

<a href="/en/project/GX19-28491X" target="_blank" >GX19-28491X: Centre for European Vegetation Syntheses (CEVS)</a><br>

Continuities

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

Publication year

2022

Confidentiality

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

Name of the periodical

Functional Ecology

ISSN

0269-8463

e-ISSN

1365-2435

Volume of the periodical

36

Issue of the periodical within the volume

4

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

962-973

UT code for WoS article

000739111200001

EID of the result in the Scopus database

2-s2.0-85122307735