An index of functional diversity

By N. Mason, Kit Macgillivray, J. B. Steel, J. Wilson. 2003

105 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/666dc498ebb942ddc3673a678db5eb647ce68c22

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

1. A. Chao
2. Chun‐Huo Chiu
3. Francesco de Bello
4. S. Lavorel
5. L. Jost
6. Pierre Legendre
7. J. Lepš
8. M. Navas

In Ecology

1. Francesco de Bello
2. J. Lepš
3. Chun‐Huo Chiu
4. L. Jost
5. A. Chao
6. S. Lavorel
7. Etienne Laliberté
8. S. Berman

In Nature and Landscape Conservation

1. Francesco de Bello
2. J. Lepš
3. S. Lavorel
4. A. Chao
5. Chun‐Huo Chiu
6. Eric Garnier
7. L. Jost
8. Wilfried Thuiller

Citations in the corpus

• Quantifying and interpreting functional diversity of natural communities: practical considerations matter (2006, methodology): “This can be characterized by the variance of species trait values weighted by the species relative abundance (this is analogical to FDiv of Mason et al. 2003, without the non-linear transformation used by the original authors to get the coefficient to the interval between zero and one; both,…”
• A user's guide to functional diversity indices (2010, methodology): “One-dimensional divergence Functional divergence can be calculated as the abundance-weighted functional variance using mean species values (Mason et al. 2003).”
• A trait-based approach to comparative functional plant ecology: concepts, methods and applications for agroecology. A review (2012, background): “…entropy: Lepš et al. 2006) functional distances between species pairs in a multivariate functional trait space, distances between species along a hierarchical classification (FD: Petchey et al. 2004) or on the distribution of abundances along functional trait axes (FDvar: Mason et al. 2003).”
• Unifying Species Diversity, Phylogenetic Diversity, Functional Diversity, and Related Similarity and Differentiation Measures Through Hill Numbers (2014, background): “Functional diversity measures combining both functional distance and species abundance have been proposed (Rao 1982; Mason et al. 2003, 2005; Botta-Dukát 2005; Ricotta & Szeidl 2006; 302 Chao · Chiu · Jost A n n u .”
• A distance-based framework for measuring functional diversity from multiple traits. (2010, background): “FDis also satisfies all criteria but the first one (i.e., to be constrained between 0 and 1 for convenience) of Mason et al. (2003) if traits are standardized prior to its computation (see Appendix C).”
• A note on functional diversity measures (2005, background): “It remains unclear how different characters should be compared (see Mason et al., 2003).”
• Community assembly by limiting similarity vs. competitive hierarchies: testing the consequences of dispersion of individual traits (2014, background): “…traits we work with are either multiplicative constants or have potentially log-normallydistributed values such as biomasses or growth rates, we manipulated trait dispersion after log transformation and back-transformed the values after manipulation (see also Mason et al. 2003; Lep s et al. 2006).”
• Assessment of ecosystem function following marine aggregate dredging (2008, background): “has been gaining credibility as an efficient functional diversity index (Petchey & Gaston, 2002; Mason et al., 2003; Ricotta, 2005).”