Nitrification is linked to dominant leaf traits rather than functional diversity

By D. Laughlin. 2011

169 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation, Soil Science

View Paper: https://www.semanticscholar.org/paper/b6d0f2fb9765af2b1e8328e45a256b0e601a26fc

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In Global and Planetary Change

In Nature and Landscape Conservation

In Soil Science

Citations in the corpus

Plant functional effects on ecosystem services (2013, background): “…that plant community trait effects may primarily be attributed to the biomass ratio hypothesis (CWM effects) rather than to non-additive effects (FD effects) (Mokany, Ash & Roxburgh 2008; Laughlin 2011; Lavorel et al. 2011), sometimes due to correlation between these two metrics (Dias et al. 2013).”
How fundamental plant functional trait relationships scale‐up to trade‐offs and synergies in ecosystem services (2012, methodology): “It has recently been gaining considerable currency for the testing of trade-offs among plant traits (Vile, Shipley & Garnier 2006; Ordoñez et al. 2009) or of effects of plant traits on ecosystem functioning (Laughlin 2011; Minden & Kleyer 2011).”
Root exudates mediate plant defense against foliar pathogens by recruiting beneficial microbes (2020, background): “G R A P H I C A L A B S T R A C T function of soil microbial communities (Orwin et al., 2010; Laughlin, 2011; Vries et al., 2012; Grigulis et al., 2013), a phenomenon that is modulated by the quality and/or quantity of available soil nutrients (Bardgett and Wardle 2010).”
Abiotic drivers and plant traits explain landscape-scale patterns in soil microbial communities. (2012, background): “2009), and in forest soils, shrub leaf traits have recently been shown to explain variation in nitrification potential (Laughlin 2011).”
An experimental framework to identify community functional components driving ecosystem processes and services delivery (2013, methodology): “First, when the effect traits considered are correlated to each other (Díaz et al. 2004; Wright et al. 2004), reduction of dimensionality, for example, via PCA axis scores, can be used to calculate CWM (Laughlin 2011; Mouillot et al. 2011).”
Functional flower traits and their diversity drive pollinator visitation (2017, background): “Few examples follow this approach and the majority identifies mass-ratio effects as main driver (Díaz et al. 2007, Mokany et al. 2008, Schumacher and Roscher 2009, Laughlin 2011, Lavorel et al. 2011, Mouillot et al. 2011, but see Schuldt et al. 2014).”
Soil organic matter availability and climate drive latitudinal patterns in bacterial diversity from tropical to cold temperate forests (2018, background): “Thus, plant functional traits rather than functional diversity correlate with the nitrification rate (Laughlin, 2011) and the ratio of bacterial to fungal biomass across the landscape scale (de Vries et al.”
The world‐wide ‘fast–slow’ plant economics spectrum: a traits manifesto (2014, background): “18) (e.g. Reich et al. 2001; Orwin et al. 2010; Laughlin 2011).”
Relative contributions of plant traits and soil microbial properties to mountain grassland ecosystem services (2013, background): “…most detailed studies that have explored the way in which plant traits influence below-ground communities, and their effects on C and N cycling, have been performed at an individual plant species or functional group level (e.g. Wardle et al. 1998; Orwin et al. 2010; but see Laughlin 2011).”
Guidelines for a graph-theoretic implementation of structural equation modeling (2012, background): “…2008, Laliberte and Tylianakis 2010, Beguin et al. 2011, Prugh and Brashares 2012), plant communities (e.g., Weiher 2003, Seabloom et al. 2006, Laughlin 2011, Reich et al. 2012), microbial communities (e.g., Bowker et al. 2010), animal populations (e.g., Janssen et al. 2011, Gimenez et al.…”