Plant traits relate to whole‐community litter quality and decomposition following land use change
By Helen M. Quested, O. Eriksson, Claire Fortunel, Eric Garnier. 2007
127 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/2041b3740ddb71088309a4a164866a21f853ecb6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- Peter B. Reich
- Francesco de Bello
- M. Navas
- R. Pakeman
- Eric Garnier
- J. H. C. Cornelissen
- William K. Cornwell
- A. Zanne
In Ecology
- Francesco de Bello
- Peter B. Reich
- D. Peltzer
- J. H. C. Cornelissen
- M. Navas
- David A. Wardle
- R. Pakeman
- D. Laughlin
In Nature and Landscape Conservation
- D. Laughlin
- Peter B. Reich
- Francesco de Bello
- S. Lavorel
- Eric Garnier
- J. H. C. Cornelissen
- M. Navas
- R. Pakeman
Citations in the corpus
- An experimental framework to identify community functional components driving ecosystem processes and services delivery (2013, background): “Therefore, the mean trait value of the species present in the community, weighted by their relative abundance (the so-called community-weighted mean trait value – CWM), should be related to ecosystem processes and properties (Garnier et al. 2004; Quested et al. 2007).”
- Nitrification is linked to dominant leaf traits rather than functional diversity (2011, background): “2010a), which suggests that soils beneath a community dominated by such plants may have faster rates of decomposition, mineralization and nitrification (Pastor et al. 1984; Quested et al. 2007; Cornwell et al. 2008).”
- A multi‐trait test of the leaf‐height‐seed plant strategy scheme with 133 species from a pine forest flora (2010, background): “Quested et al. (2007) found that community-aggregated LDMC was the best predictor of community litter decomposition rates.”
- Plant secondary metabolites: a key driver of litter decomposition and soil nutrient cycling (2016, background): “We argue that some of these discrepancies may result Cornelissen & Thompson (1997) (+) 0.48 (+) 0.31 In situ Specific Cortez et al. (2007) ( ) 0.66 (+) 0.56 (+) 0.52 In situ CWM Cortez et al. (2007) (+) 0.71 (ns) 0.01 ( ) 0.71 (+) 0.35 In situ Specific Fortunel et al. (2009) ( ) 0.17 (+) 0.10 (ns) 0”
- Do plant traits retrieved from a database accurately predict on‐site measurements? (2013, background): “1999; Ryser & Urbas 2000) and is also correlated with community litter decomposition rates (Quested et al. 2007; Laughlin et al. 2010).”
- Recovery of plant species composition and ecosystem function after cessation of grazing in a Mediterranean grassland (2010, methodology): “Additional plant litter bags were prepared from standard green hay (“standard plant litter”) obtained from Sweden (Quested et al. 2007), in order to rule out differences in the conditions of the microenvironment in the different plots.”
- A trait-based approach to comparative functional plant ecology: concepts, methods and applications for agroecology. A review (2012, background): “Whatever the form of the relationship, empirical tests in several situations have shown that CWM of traits involved in the LES tend to scale with community-level decomposition rates (Garnier et al. 2004; Cortez et al. 2007; Quested et al. 2007; Quétier et al. 2007; Fortunel et al. 2009a).”
- A global meta-analysis of the relative extent of intraspecific trait variation in plant communities. (2015, unknown): “Leaf chemical traits of plant communities are known to exert a strong influence on nutrient cycling and decomposition rates (Quested et al. 2007; Cornwell et al. 2008), and intraspecific variability in these traits is likely to play a role in driving spatial and temporal variation in these…”
- Global relationship of wood and leaf litter decomposability: the role of functional traits within and across plant organs (2014, background): “High specific leaf area (SLA) and low tissue density can directly speed up litter decay via a high surface-to-volume ratio and fragility or indirectly via their correlation with the aforementioned chemical properties (Quested et al., 2007; Bakker et al., 2011).”
- Leaf dry matter content as a predictor of grassland litter decomposition: a test of the ‘mass ratio hypothesis’ (2011, background): “Community weighted mean LDMC in a microcosm experiment explained 17% of the variation (Fortunel et al. 2009), in a common garden 66% ( Quested et al. 2007 )a nd in”
- Environmental factors and traits that drive plant litter decomposition do not determine home‐field advantage effects (2015, background): “studies (Quested et al. 2007; Fortunel et al. 2009; Jackson, Peltzer & Wardle 2013), these factors were unimportant in determining home-field advantage (HFA) in the”