2013
DOI: 10.1371/journal.pone.0069800
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Plant Trait Assembly Affects Superiority of Grazer's Foraging Strategies in Species-Rich Grasslands

Abstract: BackgroundCurrent plant – herbivore interaction models and experiments with mammalian herbivores grazing plant monocultures show the superiority of a maximizing forage quality strategy (MFQ) over a maximizing intake strategy (MI). However, there is a lack of evidence whether grazers comply with the model predictions under field conditions.Methodology/FindingsWe assessed diet selection of sheep (Ovis aries) using plant functional traits in productive mesic vs. low-productivity dry species-rich grasslands domina… Show more

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Cited by 20 publications
(23 citation statements)
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“…A possible explanation could be that dominant plants in stressed habitats are highly adapted to abiotic stress, resource competition and have the ability to form strong and deep root system and tussock‐form canopy structure, which make them also highly resistant to grazing (Osem et al, , Lezama et al, , Kelemen et al, ). This phenomenon also could be partly explained by the habitat dependent strategy shift between maximising for forage quality and maximising intake strategy of sheep grazing stressed by Mladek et al (). However, it also should be taken in account that several studies indicated that sheep grazing can be highly selective for forbs (see details for example in Jerrentrup et al, ).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…A possible explanation could be that dominant plants in stressed habitats are highly adapted to abiotic stress, resource competition and have the ability to form strong and deep root system and tussock‐form canopy structure, which make them also highly resistant to grazing (Osem et al, , Lezama et al, , Kelemen et al, ). This phenomenon also could be partly explained by the habitat dependent strategy shift between maximising for forage quality and maximising intake strategy of sheep grazing stressed by Mladek et al (). However, it also should be taken in account that several studies indicated that sheep grazing can be highly selective for forbs (see details for example in Jerrentrup et al, ).…”
Section: Discussionmentioning
confidence: 99%
“…These results are also well in line with that the sheep were highly selective for forb species, especially for legume species. It was found by Mladek et al (2013) that sheep grazing affected in higher magnitude the late flowering grasses than the early flowering ones. The late flowering species provide a higher forage quality for longer period (typically until the flowering) than the early flowering ones.…”
Section: Effect Of Livestock Type On Diversity and Trait Compositionmentioning
confidence: 99%
“…Jacobs' index values computed for each class were assigned 95% confidence intervals using the method of Strauss (1979); the 'selectivity' of a particular value was considered significant (p b 0.05) if the confidence intervals did not include zero (eg. Boulanger et al, 2009;Kauhala & Auttila, 2009;Mládek et al, 2013;Monterroso, Brito, Ferreras, & Alves, 2009). A range of regression models were fitted between the refuge density dataset and the various landscape metrics.…”
Section: Discussionmentioning
confidence: 99%
“…This can be explained by the general grazing habit of cattle, and thus, its magnitude is highly grazer dependent. Jerrentrup et al (2015) and Rook et al (2004) reported that cattle was less selective to forbs compared to sheep, and cattle, in general, was more likely characterized by a "maximising intake" strategy (see Mládek et al, 2013); therefore, selecting patches with higher biomass instead of selecting for individual species, that is, with lower SLA (see also Török, Valkó, Deák, Kelemen, & Tóthmérész, 2014). This behavior suggests that in cases of low and medium density cattle grazing, cattle likely suppress the dominant species of the respective habitat, in most cases characteristic graminoid species, causing an increase in functional diversity .…”
Section: Intensity-dependent Selectivity Hypothesismentioning
confidence: 99%