The emergence and promise of functional biogeography

By C. Violle, Peter B. Reich, S. Pacala, Brian J. Enquist, Jens Kattge. Proceedings of the National Academy of Sciences of the United States of America, 2014

653 citations recorded by the source corpus.

Subfields: Ecological Modeling, Nature and Landscape Conservation, Paleontology

View Paper: https://www.semanticscholar.org/paper/2359051ba87254494e319d8b03e9d127c4b1b652

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In Ecological Modeling

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Citations in the corpus

Variation in leaf chlorophyll concentration from tropical to cold-temperate forests: Association with gross primary productivity (2018, background): “Analyses across diverse species and communities may contribute to addressing a current major challenge for ecologists: how to use traits measured at organ or plant level to predict key ecosystem properties along environmental gradients and under changing climate (Andersen et al., 2012; Garnier and N”
The quality of organic matter shapes the functional biogeography of bacterioplankton across boreal freshwater ecosystems (2015, background): “Traditionally, trait-based functional ecology has relied on the selection of traits that are relevant to community performance, assigning them to extant taxa to derive aggregate weighted community values for each trait, and exploring their intra- or intercommunity variability (Swenson & Enquist, 200”
Biogeographical region and environmental conditions drive functional traits of estuarine fish assemblages worldwide (2017, background): “…to the definition of functional niches of species and to the development of the predictive ability of trait- based ecology, namely to forecast how species and communities will respond to environmental changes (Violle et al., 2014), both of which are fundamental to define conservation strategies.”
A trait-based approach to ocean ecology (2018, background): “Trait biogeography in general is still in its infancy (Green et al., 2008; van Bodegom et al., 2014; Violle et al., 2014) and particularly poorly known in the marine environments (Barton et al.”
Global Root Traits (GRooT) Database (2020, methodology): “Accordingly, root traits remain absent from nearly all existing studies that define the global spectrum of plant form and function (Chave et al., 2009; Díaz et al., 2016; Reich, 2014; Wright et al., 2004; but see Averill et al., 2019).”
Scaling from Traits to Ecosystems: Developing a General Trait Driver Theory via Integrating Trait-Based and Metabolic Scaling Theories (2015, methodology): “We show how our approach can reformulate and generalize the arguments of Chapin et al. (2000), McGill et al. (2006) and Violle et al. (2014) by integrating several insights from trait-based ecology (Garnier andNavas, 2012) andMST (Enquist et al., 1998; Gillooly et al., 2001; West et al., 1997).”