Towards a trait-based quantification of species niche

By C. Violle, Lin Jiang. 2009

286 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/9be014479da3d8e47d32ddc70be3e4a27d74dc81

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In Ecological Modeling

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Citations in the corpus

Interspecific integration of trait dimensions at local scales: the plant phenotype as an integrated network (2017, background): “To adequately characterize phenotypic variation reflecting plant strategies, trait space (Blonder et al. 2014; Laughlin 2014) and functional niches (cf. Violle & Jiang 2009; Winemiller et al. 2015), we suggest including traits central to the phenotypic network.”
Intraspecific trait variability mediates the response of subalpine grassland communities to extreme drought events (2014, methodology): “Secondly, trait values, as determinants of individual plant performances, may be used as a surrogate for species niche (Violle & Jiang 2009; Kearney et al. 2010).”
Shifts in plant functional strategies over the course of wheat domestication (2018, background): “Indeed, a key postulate of functional ecology is that plant functional traits are proxies for species’ niche axes and the ability of species (or genotypes) to capture and use resources (McGill, Enquist, Weiher, & Westoby, 2006; Violle & Jiang, 2009; Violle et al., 2007).”
Plant functional traits capture species richness variations along a flooding gradient (2011, background): “…like SLA and plant height instead of disturbance and productivity because of their better predictive power for species richness variation, which supports the plea for moving from resource-based approaches to trait-based approaches in community ecology (McGill et al. 2006, Violle and Jiang 2009).”
Scaling from Traits to Ecosystems: Developing a General Trait Driver Theory via Integrating Trait-Based and Metabolic Scaling Theories (2015, background): “However, intraspecific variation in traits is important to determine the breadth of the distribution (Sides et al., 2014; Violle and Jiang, 2009).”
The n‐dimensional hypervolume (2014, methodology): “Within ecology it can be applied beyond the quantification of species niches (Violle & Jiang, 2009), for instance to quantify the multivariate space of a community or a regional pool (Ricklefs & O’Rourke, 1975; Foote, 1997), to measure morphology (Raup & Michelson, 1965) or to test functional…”
Measuring the functional redundancy of biological communities: a quantitative guide (2016, background): “…does not consider within-species differentiation (but see Pavoine& Izsak 2014), it is widely recognized that spe- cies differences in trait values are related to niche differentiation, and hence to different mechanisms of resource use (Lep s et al. 2006; Violle & Jang 2009; Blonder et al. 2014).”
The Multidimensional Stoichiometric Niche (2017, background): “As with isotopic niches, biogeochemical niches have been quantified for individual species, based on the mean value of plant elemental traits (Peñuelas et al., 2008, 2010; Violle and Jiang, 2009), and scaled-up to describe entire plant communities (Kerkhoff and Enquist, 2006).”
TRY – a global database of plant traits (2011, background): “Such increased synthetic understanding of variation in plant traits is expected to support the development of a new generation of vegetation models with a better representation of vegetation structure and functional variation (Lavorel et al., 2008; Violle & Jiang, 2009).”
Intra-specific and inter-specific variation in specific leaf area reveal the importance of abiotic and biotic drivers of species diversity across elevation and latitude (2013, background): “…to link abiotic and biotic mechanisms to diversity patterns across elevation and latitude, we can begin by assuming that trait variability reflects variation in resource use within a population, thereby reflecting niche space and breadth (Roughgarden 1972; Violle & Jiang 2009; Violle et al. 2012).”
Rapid determination of comparative drought tolerance traits: using an osmometer to predict turgor loss point (2012, background): “…Scoffoni & Sack 2012), leaf traits that have been frequently suggested as proxies for the p–v curve parameters or as indices for drought tolerance mainly because of the con- venience with which they can be determined (e.g. Niinemets 2001; Kraft, Valencia & Ackerly 2008; Violle & Jiang 2009).”
The winners and losers of land use intensification: pollinator community disassembly is non‐random and alters functional diversity (2014, unknown): “…traits influence ecosystem functioning, while ‘response’ traits influence how species respond to disturbance Naeem & Wright, 2003; Hooper et al., 2005; Violle & Jiang, 2009), most traits in our dataset not only contribute to pollination functions, but also are likely to influence responses to…”