Selectivity in Mammalian Extinction Risk and Threat Types: a New Measure of Phylogenetic Signal Strength in Binary Traits

By Susanne A. Fritz, Andy Purvis. Conservation Biology, 2010

895 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation, Paleontology

View Paper: https://www.semanticscholar.org/paper/a79c05b96e0c9059ebc24c84a9b18942daafcfc9

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In Ecology

In Nature and Landscape Conservation

In Paleontology

Citations in the corpus

Impending extinction crisis of the world’s primates: Why primates matter (2017, background): “Rather, the prevalence of threatened taxa in some clades but not in others implies a strong phylogenetic pattern in susceptibility (83, 84).”
Angiosperm Responses to a Low-CO2 World: CAM and C4 Photosynthesis as Parallel Evolutionary Trajectories (2012, methodology): “…appear that CAM has evolved more often and is more broadly distributed across the tree, although each trait independently exhibited highly significant phylogenetic clustering as evaluated with the D statistic (Fritz and Purvis 2010), implemented in the R package ‘‘caper’’ (P ¼ 0:00 in both cases).”
Effects of human‐modified landscapes on taxonomic, functional and phylogenetic dimensions of bat biodiversity (2015, methodology): “To facilitate ecological interpretation of phylogenetic patterns, we used the D-statistic (Fritz & Purvis, 2010) and Pagel’s k (Pagel, 1999; Freckleton et al., 2002) to measure the strength of phylogenetic signals (i.e. statistical dependence among species’ trait values due to phylogenetic…”
“Primeval forest relict beetles” of Central Europe: a set of 168 umbrella species for the protection of primeval forest remnants (2018, methodology): “This indicates that the primeval forest relict status exhibited moderately strong phylogenetic clumping (Fritz and Purvis 2010).”
Clonal growth and sexual reproduction: tradeoffs and environmental constraints (2015, methodology): “For categorical traits such as clonality, we used the D statistic of Fritz and Purvis (2010) and tested the likelihood of the estimated value based on two extreme hypotheses: 1) hypothesis λ 0 (no phylogenetic signal); and 2) hypothesis λ 1 (Brownian model of trait evolution across the phylogenetic…”
Predicting tropical insect herbivore abundance from host plant traits and phylogeny (2012, methodology): “We chose this approach over Mantel tests because the latter lacks power and is known to involve high Type I error with phylogenetic information, whereas Blomberg’s K does not (Harmon and Glor 2010).”
Targeted vertebrate surveys enhance the faunal importance and improve explanatory models within the Eastern Arc Mountains of Kenya and Tanzania (2014, background): “Given that biodiversity importance is generally measured on species richness, endemism and associated threat status (Brooks et al., 2006; Fritz & Purvis, 2010), a consequence of this data deficit is that conservation efforts may not be based on comprehensive and/or consistent evidence.”
Comparing environmental DNA metabarcoding and underwater visual census to monitor tropical reef fishes (2020, methodology): “For the genera detected by UVC, we found an average D-statistic of 0.18 ± 0.1 across the 100 trees, indicating that the clustering of genera identified by this monitoring technique is not different than expected under a Brownian model (p = .28 ± .12; Figure 3a).”