Functional traits, productivity and effects on nitrogen cycling of 33 grassland species
By Joseph M. Craine, David Tilman, D. Wedin, Peter B. Reich, M. Tjoelker, J. M H Knops. 2002
394 citations recorded by the source corpus.
Subfields: Forestry, Nature and Landscape Conservation, Soil Science
View Paper: https://www.semanticscholar.org/paper/a6df516cc80b001e4df26a553d057c33e480b243
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Forestry
- S. Lavorel
- M. Westoby
- I. Wright
- Eric Garnier
- Peter B. Reich
- Sandra Díaz
- Joseph M. Craine
- Jeannine Cavender-Bares
In Nature and Landscape Conservation
- S. Lavorel
- Peter B. Reich
- Eric Garnier
- D. Laughlin
- I. Wright
- Francesco de Bello
- Sandra Díaz
- K. Grigulis
In Soil Science
- Peter B. Reich
- S. Lavorel
- R. Bardgett
- Sandra Díaz
- David Tilman
- Joseph M. Craine
- K. Grigulis
- D. Fornara
Citations in the corpus
- Linkages of plant traits to soil properties and the functioning of temperate grassland (2010, background): “(2005) that root traits are not strongly linked to leaf traits, but contradicts the findings of others that root traits follow patterns similar to leaves in grassland species (Craine et al. 2002; Tjoelker et al. 2005).”
- A trait-based approach to comparative functional plant ecology: concepts, methods and applications for agroecology. A review (2012, background): “Finally, Craine et al. (2002) grew 33 grasslands species for 5 years under low nitrogen availability and found that among non-legume species which produced and maintained large amounts of biomass were those with lower nitrogen concentrations in tissues, greater longevity of organs and higher root…”
- Competition for Nutrients and Optimal Root Allocation (2006, methodology): “…density 2 · 10)4 g mm)3 Craine et al. (2002) h Volumetric soil moisture 0.02 or 0.2 mm3 H2O mm )3 soil [CR] Concentration of C in root bio- mass 450 mg g)1 Craine et al. (2002) [NR] Concentration of nutrients in root biomass 10 mg g)1 Craine et al. (2002) AllocN,R Fraction of acquired N…”
- Reconciling plant strategy theories of Grime and Tilman (2005, background): “…species that inhabited low-fertility, low-disturbance sites were called ‘stress-tolerators’, fast-growing species that inhabited high-fertility, lowdisturbance sites were called ‘competitors’ and fast-growing species that inhabited high-fertility, high-disturbance sites were called ‘ruderals’.”
- Impacts of nitrogen addition on plant species richness and abundance: A global meta‐analysis (2018, background): “Indeed, both groups have been identified as the most sensitive to increased N inputs (Bobbink et al., 2010; Craine et al., 2002).”
- The intrinsic dimensionality of plant traits and its relevance to community assembly (2014, background): “The vast majority of studies only report details of the eigenanalysis for two or three dimensions (Grime et al. 1997; Ackerly 2004; Diaz et al. 2004; Laughlin et al. 2010), but some have reported up to four (Craine et al. 2002; Wright et al. 2007).”
- Soil and Plant Nitrogen Pools as Related to Plant Diversity in an Experimental Grassland (2007, background): “Further investigations have to address not only the effect of legumes ( Craine et al., 2002; Scherer-Lorenzen et al., 2003) but also the effects of other functional plant groups on the soil N pool.”
- Approaches to defining a planetary boundary for biodiversity (2014, background): “, 2013), potentially geared to key functions (Craine et al., 2002), after”
- Trade-off between root nitrogen acquisition and shoot nitrogen utilization across 13 co-occurring pasture grass species (2009, background): “Journal compilation © 2009 British Ecological Society, Functional Ecology, 23, 668–679 contrasted N demand (Craine et al. 2002).”
- Root traits and soil properties in harvested perennial grassland, annual wheat, and never-tilled annual wheat (2014, background): “Most studies that relate root characteristics to soil properties are container studies (Swemmer et al. 2006) or immature monocultures (Craine et al. 2002, 2003; Fornara et al. 2009).”
- Relative contributions of plant traits and soil microbial properties to mountain grassland ecosystem services (2013, background): “…the relevance of the leaf economics spectrum not only to above-ground biomass and litter decomposition or litter pools, but also to soil processes as expected from theory (De Deyn, Cornelissen & Bardgett 2008) and recent empirical studies (Laughlin 2011; Pakeman 2011; see also Craine et al. 2002).”
- GEMINI: a Grassland Model Simulating the Role of Plant Traits for Community Dynamics and Ecosystem F (2012, background): “Lrootmax1, the potential length of primary roots was estimated from Kutschera (1960) root atlas and from the correlation between maximal plant height and rooting depth (Craine et al., 2002).”
- EVOLUTIONARY PATTERNS AND BIOGEOCHEMICAL SIGNIFICANCE OF ANGIOSPERM ROOT TRAITS (2012, neutral): “Other researchers are conducting work with roots of herbaceous annuals and perennials (Grime et al. 1997; Craine et al. 2002; Levang-Brilz and Biondini 2003; Tjoelker et al. 2005; Roumet et al. 2006; Kembel and Cahill 2011), and it may eventually be possible to synthesize data more broadly.”
- Plant functional types: are we getting any closer to the Holy Grail? (2007, background): “…root length and root biomass) is associated with thick, dense roots with low nitrogen and high lignin concentrations (Comas & Eissenstat 2004, Craine et al. 2002, Craine et al. 2003), a syndrome usually found in slow growing species or plants grown in limiting conditions (Reich et al. 1998a,…”
- Leaf area and growth of juvenile temperate evergreens in low light: species of contrasting shade tolerance change rank during ontogeny (2004, background): “The former seems unlikely, given the long leaf life spans of Aextoxicon and Myrceugenia (Fig. 1), and evidence from other studies that root and leaf traits tend to be positively correlated, albeit rather weakly in some cases (Comas et al. 2002; Craine et al. 2002 ).”
- A structured and dynamic framework to advance traits-based theory and prediction in ecology. (2010, background): “In step 1, either phenomenological relationships (e.g. Craine et al. 2002; Reich et al. 2003) or, more appropriately for mechanistic inferences, first principles can be used to characterize the performance filter (Enquist et al. 2007).”