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Mechanisms shaping plant biomass and species richness: plant strategies and litter effect in alkali and loess grasslands
Author(s) -
Kelemen András,
Török Péter,
Valkó Orsolya,
Miglécz Tamás,
Tóthmérész Béla
Publication year - 2013
Publication title -
journal of vegetation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 115
eISSN - 1654-1103
pISSN - 1100-9233
DOI - 10.1111/jvs.12027
Subject(s) - species richness , biomass (ecology) , grassland , ecology , productivity , ruderal species , agronomy , litter , plant community , environmental science , biology , habitat , economics , macroeconomics
Abstract Question Explaining the biomass–species richness relationship is key to understanding vegetation dynamics. Several possible mechanisms have been suggested, but complex analysis of plant strategies, major biomass and species richness components along a long productivity gradient is still lacking. We provide a detailed analysis of the relationship between major biomass components (total above‐ground biomass, green biomass and litter), plant strategies and species richness along a long gradient of alkali and loess grasslands in a steppe landscape in C entral E urope. Location H ortobágy, G reat H ungarian P lain, E ast H ungary. Methods Above‐ground biomass of characteristic alkali and loess grassland stands was sampled along a gradient of increasing productivity. In each grassland stand, a 25‐m 2 sample site was randomly selected. Within each site, ten above‐ground biomass samples (20 × 20 cm) were collected randomly in June 2009, at the peak of biomass production. We classified all species into mixed C‐S‐R strategy types. To obtain correlations between various biomass and species richness data, S pearman rank correlation was used. The relationship between plant strategies and species composition were displayed with a DCA ordination. Results The frequently detected humped‐back relationship was valid for the relation of total biomass and species richness. With increasing amount of total biomass, we detected an increasing proportion of competitors, and a decreasing proportion of stress tolerators in green biomass. A low proportion of ruderals was detected at both low and high biomass levels. Species richness was affected positively by litter at low litter scores, but there was a negative litter effect from much lower scores than detected previously (from 400 g·m −2 ). There was a positive relationship between green biomass production and species richness. Conclusions The study revealed that at the initial part of a productivity gradient, stress is likely responsible for low species richness. Our results show that litter can shape changes in species richness along the whole biomass gradient, thus the litter effect is one of the major mechanisms structuring grassland diversity.