The intrinsic dimensionality of plant traits and its relevance to community assembly

By D. Laughlin. 2014

401 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/a672f0c43f3286dc778bdb948ab315ce59ade55c

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Climate, soil and plant functional types as drivers of global fine‐root trait variation (2017, result): “…determine the drivers of fine-root trait distribution, we need to focus most particularly on their variation at the level of species and plant individuals (e.g. Laughlin 2014; Violle et al. 2014), similar to what has been performed for leaf traits (e.g. Wright et al. 2005b; Maire et al. 2015).”
Trait correlation network analysis identifies biomass allocation traits and stem specific length as hub traits in herbaceous perennial plants (2018, background): “…ecologists have striven to reduce the linkages among multiple traits to a few axes of variation, “spectra,” or “leading dimensions,” reflecting major ecological strategies of plant life (Diaz et al., 2004; Grime et al., 1997; Laughlin, 2014; Westoby, Falster, Moles, Vesk, & Wright, 2002).”
Why functional ecology should consider all plant organs: An allocation-based perspective (2015, background): “As a prerequisite, functional ecology should conider corresponding traits of all relevant organs, as opposed o approaches addressing traits of one or two organs only (see aughlin 2014; Reich 2014).”
Soil fertility induces coordinated responses of multiple independent functional traits (2015, background): “Independent traits measured from multiple plant organs and whole-plant properties provide more information about species than single-trait spectrums alone (Westoby & Wright 2006; Laughlin 2014b), and this has important implications for understanding species distributions.”
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.”
Defining trait-based microbial strategies with consequences for soil carbon cycling under climate change (2018, background): “Moreover, given the vast metabolic diversity of microorganisms and the complexity of functional omics datasets, it is also unclear what dimensionality is needed to adequately describe microbial life history strategies (Laughlin, 2013).”
Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest (2021, background): “Additionally, previous studies indicated that the ability to predict community composition could increase with additional traits, but might reach saturation after including a specific number of trait axes (Laughlin, 2014; Schweiger et al., 2020).”
Patterns and thresholds of grazing‐induced changes in community structure and ecosystem functioning: species‐level responses and the critical role of species traits (2017, methodology): “correlation and intrinsic dimensionality of traits (Laughlin 2014),”
Root traits are multidimensional: specific root length is independent from root tissue density and the plant economic spectrum (2016, methodology): “We also used a variety of dimensionality estimators (Laughlin 2014) and PCA to determine the intrinsic dimensionality of the species–trait matrix (see Tables S1 and S2 in Appendix S1 for all mean trait values per species) to evaluate multivariate correlations.”
The Intrinsic Dimension of Images and Its Impact on Learning (2021, background): “In applications, such as crystallography, computer graphics, and ecology, practitioners depend on data having low intrinsic dimension (Valle & Oganov, 2010; Desbrun et al., 2002; Laughlin, 2014).”
Decoupling phylogenetic and functional diversity to reveal hidden signals in community assembly (2017, background): “Accordingly, several approaches have been proposed to select the most important traits and combine them in meaningful ways (Grime 1998; Laliberte & Legendre 2010; Laughlin 2014; Carmona et al. 2016).”