The relationships among root and leaf traits of 76 grassland species and relative abundance along fertility and disturbance gradients

By Joseph M. Craine, J. Froehle, David Tilman, D. Wedin, F. Chapin. 2001

411 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Forestry, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/8d18f269338656904ff1cbac8eabf6d14dbff1e7

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In Ecology, Evolution, Behavior and Systematics

In Forestry

In Nature and Landscape Conservation

Citations in the corpus

Linking fine root traits to maximum potential growth rate among 11 mature temperate tree species (2004, background): “Grassland species associated with nutrient-poor habitats, which are typically slow-growing species, also have high tissue density in their roots (Craine et al. 2001).”
Using plant functional traits to guide restoration: A case study in California coastal grassland (2011, background): “This should favor species with slow returns on investments (low SLA, high leaf density, Craine et al. 2001).”
Congruency analysis of species ranking based on leaf traits: which traits are the more reliable? (2004, background): “Among the plant traits, leaf traits are often cited as the principal traits to relate plant resource use, biomass and ecosystem functioning Westoby 1998; Weiher et al. 1999; Craine et al. 2001 .”
A multi‐trait test of the leaf‐height‐seed plant strategy scheme with 133 species from a pine forest flora (2010, background): “Compari- sons of functional traits across taxa have provided insight into the primary functional gradients among plants (e.g. Grime et al. 1997; Reich et al. 1999; Craine et al. 2001; Dı́az et al. 2004).”
Interspecific integration of trait dimensions at local scales: the plant phenotype as an integrated network (2017, result): “Results in support of this inference are mixed (Craine et al. 2001; Laughlin et al. 2010; Kembel & Cahill 2011; Fortunel, Fine & Baraloto 2012).”
Large-scale changes in the abundance of common higher plant species across Britain between 1978, 1990 and 1998 as a consequence of human activity: Tests of hypothesised changes in trait representation (2005, background): “, 2001; Achermann and Bobbink, 2003) but there are exceptions (Tilman, 1997; Craine et al., 2001; Diekmann and Falkengren-Grerup, 2002) many of which relate to the responses of short, low-SLA grasses and tall, high-SLA forbs.”
Plant functional types: are we getting any closer to the Holy Grail? (2007, background): “2000, Ryser 1996), greater nutrient use efficiency and resistance to herbivore and physical damage (Craine et al. 2001).”
Scaling from Traits to Ecosystems: Developing a General Trait Driver Theory via Integrating Trait-Based and Metabolic Scaling Theories (2015, result): “Similar to past findings, across all plots, the community mean SLA increased (see Craine et al., 2001; Knops and Reinhart, 2000) and the variance Also listed are the predicted signs of the correlationsmade fromTrait Driver Theory (see text and Table 1) and from Biodiversity–Ecosystem Functioning…”
Influence of root and leaf traits on the uptake of nutrients in cover crops (2016, background): “On the contrary, high root mass, dense tissues and large diameters favor resource conservation (Eissenstat et al. 2000; Craine et al. 2001).”
Functional traits, productivity and effects on nitrogen cycling of 33 grassland species (2002, background): “High-N species would presumably grow better as N supply increases, congruent with the findings of Craine et al. (2001) which showed that species with low tissue density and related traits increased in relative abundance with N fertilization at Cedar Creek.”
Evidence for a ‘plant community economics spectrum’ driven by nutrient and water limitations in a Mediterranean rangeland of southern France (2012, background): “Similarly, Craine et al. (2001) demonstrated that herbaceous species occupying frequently low-N environments had greater tissue density in leaves and roots, which might be associated to higher nutrient use efficiency.”
Evidence of the ‘plant economics spectrum’ in a subarctic flora (2010, background): “…root length were strongly correlated for woody species (Reich et al. 1998; Wright & Westoby 1999; Withington et al. 2006) but decoupled when the species pools comprised both woody and herbaceous species (correlations derived from Craine et al. 2001 and Reich et al. 2003a; Tjoelker et al. 2005).”
The plant traits that drive ecosystems: Evidence from three continents (2004, background): “Through investigations in various parts of the world (e.g. Chapin et al. 1996; Díaz & Cabido 1997; Grime et al. 1997; Reich et al. 1997; Wardle et al. 1998; Cunningham et al. 1999; Craine et al. 2001; Wright & Westoby 2002; Ackerly 2003), evidence is growing that such predictors do exist, and can be”
Sampling roots to capture plant and soil functions (2017, background): “…studies (e.g. Pregitzer et al. 2002; Comas & Eissenstat 2004; Guo et al. 2008), whereas herbaceous studies focussed more generally on the comparative ecology or physiology of multiple root species irrespective of order (e.g. Craine et al. 2001; Kembel & Cahill 2011; Roumet et al. 2016).”
Functional traits of woody plants: correspondence of species rankings between field adults and laboratory-grown seedlings? (2003, background): “…in plant design and functioning (e.g. Poorter & Bergkotte 1992; Reich et al. 1992; Von Willert et al. 1992; Grime et al. 1997; Lambers et al. 1998; Craine et al 2001); (2) the classification of plant species into 'functional types' or strategies (e.g. Von Willert et al. 1990, 1992; Diaz & Cabido…”