Measuring biodiversity to explain community assembly: a unified approach
By Sandrine Pavoine, Michael B. Bonsall. Biological Reviews of The Cambridge Philosophical Society, 2011
615 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/e52d1fcb994d7a53a1997c6aa8f9a8d231dca999
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- Francesco de Bello
- Wilfried Thuiller
- G. Grenouillet
- N. Mason
- S. Lavorel
- J. Lepš
- Z. Botta‐Dukát
- Miguel B. Araújo
In Ecology, Evolution, Behavior and Systematics
- Francesco de Bello
- J. Lepš
- N. Mason
- Wilfried Thuiller
- S. Lavorel
- G. Grenouillet
- C. P. Carmona
- Z. Botta‐Dukát
In Nature and Landscape Conservation
- Francesco de Bello
- Wilfried Thuiller
- J. Lepš
- S. Lavorel
- N. Mason
- G. Grenouillet
- C. P. Carmona
- Sébastien Villéger
Citations in the corpus
- Using trait and phylogenetic diversity to evaluate the generality of the stress‐dominance hypothesis in eastern North American tree communities (2014, background): “…attributes, and are potentially influenced by many different processes in addition to competition and environmental filtering, including dispersal limitation, positive interactions, and predation or parasitism (Cavender-Bares et al. 2009, Pavoine and Bonsall 2011, Spasojevic and Suding 2012).”
- Functional diversity metrics using kernel density n-dimensional hypervolumes (2020, background): “Both BAT and FD include a vast collection of functional indexes, allowing a user to explore a functional community based on different mathematical aspects of FD, namely the richness, divergence, and regularity components (Pavoine & Bonsall, 2011; Tucker et al., 2017).”
- On the importance of intraspecific variability for the quantification of functional diversity (2012, methodology): “4) The FD index from Petchey and Gaston (2002, hereafter FDP), measures the extent of functional differences among species’ trait values by estimating the dispersion of species in the trait space (Pavoine and Bonsall 2011).”
- Phylogenetic patterns are not proxies of community assembly mechanisms (they are far better) (2015, background): “…(Emerson & Gillespie 2008; Cavender-Bares et al. 2009) and lack of correlation between measures of phylogenetic dispersion and trait dispersion (Pavoine & Bonsall 2011; Pavoine et al. 2013; Srivastava et al. 2012; Swenson 2013), questioning the interpretation of assembly mechanisms using…”
- Dos and don'ts when inferring assembly rules from diversity patterns (2020, background): “For example, one may complement phylogenetic measures with trait information (de Bello et al., 2017; Gianuca et al., 2017; Lopez et al., 2016; Pavoine & Bonsall, 2011) or integrate trait and phylogenetic information in a single measure in order to converge as close as possible to the…”
- Traits Without Borders: Integrating Functional Diversity Across Scales. (2016, background): “primary components (functional richness, functional evenness, and functional divergence) [13,14], each potentially represented by different indices [14,19,20].”
- An experimental framework to identify community functional components driving ecosystem processes and services delivery (2013, background): “This index expresses the sum of the dissimilarities in the trait space among all possible pairs of species weighted by the product of relative species abundance and underpins a family of related functional divergence indices (Pavoine & Bonsall 2011).”
- A guide to phylogenetic metrics for conservation, community ecology and macroecology (2016, methodology): “A recent framework developed by Pavoine & Bonsall (2011) based on preliminary work by Mouillot et al. (2005) and Ricotta (2007), provides a broad clarification of the mathematical underpinnings of phylo-diversity metrics, allowing them to be grouped under three mathematical dimensions (richness,…”
- Quantifying Functional Biodiversity (2011, background): “Several authors have claimed that its contribution to functional diversity approach is not significant due to high correlation with richness (Mouchet et al. 2010; Pavoine and Bonsall 2011).”
- Which trait dissimilarity for functional diversity: trait means or trait overlap? (2013, background): “This is generally resolved by computing a pairwise species trait dissimilarity matrix (Pavoine et al. 2009; Laliberte & Legendre 2010), i. e. a matrix which contains the trait dissimilarity for each pair of species in a dataset.”
- Contrasting changes in taxonomic, phylogenetic and functional diversity during a long‐term succession: insights into assembly processes (2013, background): “A mismatch between functional and phylogenetic diversity would indicate that the phylogenetic diversity does not reflect the diversity of phylogenetically conserved traits and/or suggest that important traits were missing from the analysis (Pavoine & Bonsall 2011).”
- Testing the ability of functional diversity indices to detect trait convergence and divergence using individual‐based simulation (2016, methodology): “We selected five indices for testing based on the comprehensive review of Pavoine & Bonsall (2011) so as to represent all three components of functional diversity: richness, divergence and evenness.”
- Moving beyond the guild concept: developing a practical functional trait framework for terrestrial beetles (2015, background): “…community responses to disturbance (Poff et al., 2006; Gerisch et al., 2011) and consequent changes to ecosystem function (Díaz et al., 2013), extinction risk (Davies et al., 2000) and how community assembly processes change with environment (Pavoine & Bonsall, 2011; Podgaiski et al., 2013).”