Towards a consensus for calculating dendrogram-based functional diversity indices

By M. Mouchet, F. Guilhaumon, Sébastien Villéger, N. Mason, J. Tomasini, David Mouillot. 2008

163 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/4dcff48558f08af6fc6e3cc0fb0426889067095c

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. G. Grenouillet
2. Wilfried Thuiller
3. Frédéric Jiguet
4. V. Devictor
5. Sébastien Villéger
6. S. Lavorel
7. David Mouillot
8. S. Brosse

In Ecology, Evolution, Behavior and Systematics

1. G. Grenouillet
2. Wilfried Thuiller
3. Frédéric Jiguet
4. David Mouillot
5. S. Brosse
6. V. Devictor
7. Sébastien Villéger
8. S. Lavorel

In Nature and Landscape Conservation

1. G. Grenouillet
2. Wilfried Thuiller
3. Frédéric Jiguet
4. Sébastien Villéger
5. David Mouillot
6. V. Devictor
7. S. Lavorel
8. Francesco de Bello

Citations in the corpus

• Rare Species Support Vulnerable Functions in High-Diversity Ecosystems (2013, methodology): “Then we built the most reliable functional dendrogram linking all species in a functional space [58]—that is, the dendrogram that provides the least distortion between original distances between species pairs and the ultrametric distances on the tree where species are clustered according to their bi”
• Global legume diversity assessment: Concepts, key indicators, and strategies (2013, methodology): “As a test case, we checked 31 species of Desmodium Desv. that are among the 806 species having five or fewer records in NHN with the monograph of Ohashi (1973).”
• How many dimensions are needed to accurately assess functional diversity? A pragmatic approach for assessing the quality of functional spaces (2015, methodology): “For instance, the dissimilarity metric used to compute the functional distance between species and the clustering algorithm used to build the functional dendrogram can significantly change the ranking of functional diversity among assemblages (Podani & Schmera, 2006; Mouchet et al., 2008).”
• Functional richness: Overview of indices and underlying concepts (2018, methodology): “With the aim of using the most faithful dendrogram to compute the FDP&G of a community, Mouchet et al. (2008) developed an algorithm allowing its identification on the basis of the two-norm quality criterion (which assesses the similarity between the initial dissimilarity matrix and the…”
• Spatial mismatch and congruence between taxonomic, phylogenetic and functional diversity: the need for integrative conservation strategies in a changing world. (2010, methodology): “Because cophenetic distances estimated from hierarchical classification may depend on the distance and clustering method, we used a consensus approach proposed by Mouchet et al. (2008).”