Modern Phylogenetic Comparative Methods and Their Application in Evolutionary Biology

By L. Garamszegi. Springer Berlin Heidelberg, 2014

641 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology, Paleontology

View Paper: https://www.semanticscholar.org/paper/6aa1ff414066f8c73712cf930ea3eea87bef1884

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. A. Møller
2. G. Markó
3. R. Stuart‐Smith
4. J. D. Ibáñez-Álamo
5. A. Gómez
6. M. Díaz
7. Bernard Henrissat
8. Wwl Cheung

In Molecular Biology

1. A. Møller
2. Francis Martin
3. K. Peay
4. A. Kohler
5. J. M. Talbot
6. R. Stuart‐Smith
7. M. Díaz
8. Bernard Henrissat

In Paleontology

1. A. Møller
2. G. Markó
3. R. Stuart‐Smith
4. A. Gómez
5. Bernard Henrissat
6. Wwl Cheung
7. A. Kohler
8. Daniel T. Blumstein

Citations in the corpus

• A quantitative review of abundance-based species distribution models (2021, methodology): “We fitted these models using phylogenetic generalised least squares using the R package caper using maximum likelihood to estimate Pagels λ (Blomberg and Symonds 2014, Orme et al. 2018).”
• phytools 2.0: an updated R ecosystem for phylogenetic comparative methods (and other things) (2023, background): “…et al. 2010; Stadler 2011; Etienne and Haegeman 2012; Goldberg and Igić 2012; Beaulieu et al. 2013; Rabosky 2014; Uyeda and Harmon 2014; Beaulieu and O’Meara 2016; Revell 2021; MacPherson et al. 2022, and many others; reviewed in OMeara 2012; Garamszegi 2014; Harmon 2019; Revell and Harmon 2022).”
• Rural-Urban Differences in Escape Behavior of European Birds across a Latitudinal Gradient (2017, methodology): “We tested the effect of the predictors on 1pre-detection-8 and 1buffer-8 using models that were weighted by sample size to account for differences in sampling effort among populations (Garamszegi and Møller, 2011; Garamszegi, 2014).”
• Fifteen species in one: deciphering the Brachionus plicatilis species complex (Rotifera, Monogononta) through DNA taxonomy (2017, methodology): “We then used phylogenetic generalised least square (PGLS) analyses to account for the confounding factor of phylogenetic relatedness (Garamszegi, 2014).”
• Functional guild classification predicts the enzymatic role of fungi in litter and soil biogeochemistry (2015, methodology): “Normality and homogeneity of variance was checked visually (as recommended, Garamszegi, 2014) and equality of variances was tested by the Fligner and Killeen test (Conover et al., 1981).”