Linking fine root traits to maximum potential growth rate among 11 mature temperate tree species

By L. Comas, D. Eissenstat. 2004

353 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f4fcb6f0f3481e75958e765c178f8e41216f3afe

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Citations in the corpus

The distribution of below‐ground traits is explained by intrinsic species differences and intraspecific plasticity in response to root neighbours (2013, background): “In fact, they often express traits, particularly among woody plants, not necessarily correlated with leaf trait syndromes (Comas & Eissenstat 2004; Withington et al. 2006; McCormack et al. 2012), which has limited our understanding of the factors affecting root trait trade-offs.”
Plant morphology and root hydraulics are altered by nutrient deficiency in Pistacia lentiscus (L.) (2006, background): “Higher SRL has been related to increases in exploitation efficiency (Fitter 1991), which would favor uptake efficiency ( Comas and Eissenstat 2002 ).”
The mysterious root length (2006, background): “However, other studies have found that fast-growing species of productive habitats have higher SRL than species of stressed environments (Ryser and Eek 2000; Craine et al. 2001; Nicotra et al. 2002; Comas and Eissenstat 2004), and an increased nutrient supply has been found to lead to a higher SRL (”
Root traits are multidimensional: specific root length is independent from root tissue density and the plant economic spectrum (2016, background): “Positive correlations that have been observed between SRL and relative growth rates (Eissenstat 1991; Reich et al. 1998; Wright & Westoby 1999; Comas & Eissenstat 2004) indicate that SRL can influence whole-plant economics.”
EVOLUTIONARY PATTERNS AND BIOGEOCHEMICAL SIGNIFICANCE OF ANGIOSPERM ROOT TRAITS (2012, neutral): “Some fast-growing species have short SRL, perhaps due to optimization of root tissue to maximize nutrient uptake through symbiotic interactions with fungi instead of directly through root uptake (Comas et al. 2002; Comas and Eissenstat 2004).”
Variability in amount and frequency of water supply affects roots but not growth of arid shrubs (2009, background): “Differences in growth rate among species were linked to differences in traits that maximize uptake capacity of roots and leaves such as SRL and SLA (Garnier 1991; Cornelissen et al. 1996; Reich et al. 1998; Comas and Eissenstat 2004 ), rather than to differences in biomass allocation to roots.”
The world‐wide ‘fast–slow’ plant economics spectrum: a traits manifesto (2014, background): “For example, McCormack et al. (2012) found shorter root life span and higher root [N] in faster-growing trees with lower wood density (all fast traits), and Comas and Eissenstat (2004) found faster-growing taxa to have smaller root diameter and high SRL than congeners.”
Species‐ and community‐level patterns in fine root traits along a 120 000‐year soil chronosequence in temperate rain forest (2011, background): “…are common: studies of northern hemisphere temperate tree species found no correlation between SRL and root N concentration (Pregitzer et al. 2002; Comas & Eissenstat 2004) or between root life span and SRL or root diameter (Withington et al. 2006), and no significant differences in root tissue…”
Climate, soil and plant functional types as drivers of global fine‐root trait variation (2017, background): “…both negative and positive relationships have been observed between SRL and drivers of soil fertility (e.g. Ryser & Eek 2000; Poot & Lambers 2003; Comas & Eissenstat 2004; Tjoelker et al. 2005) and between fine-root N and drivers of soil fertility (e.g. Hendricks et al. 2000; Yuan & Chen 2010).”
Root functional parameters predict fine root decomposability at the community level (2016, background): “…of the community alter the quality of overall fine roots in the community (Zhang et al. 2008; Holdaway et al. 2011; Prieto et al. 2015), given that plant species differ strongly in the quantity and quality of fine roots (Comas & Eissenstat 2004; Kerkhoff et al. 2006; Birouste et al. 2012).”
Fine root architecture, morphology, and biomass of different branch orders of two Chinese temperate tree species (2006, background): “Higher tissue density in L. gmelinii than in F. mandshurica agrees with the data of Comas and Eissenstat (2004), which showed that tissue density in the first two root orders of gymnosperms such as Pinus virginiana, Pinus strobes, and Tsuga Canadensis was markedly higher than all eight angiosperms…”
The mycorrhizal-associated nutrient economy: a new framework for predicting carbon-nutrient couplings in temperate forests. (2013, background): “Given that trees from the two mycorrhizal associations differ in multiple aboveground and belowground traits and processes (Cornelissen et al., 2001; Comas & Eissenstat, 2004; Phillips & Fahey, 2006; Comas & Eissenstat, 2009), we speculate that forests dominated by AM-and ECM-associated trees have…”