Statistics for Spatial Data.

I. the origin of species by means of natural selection

Motivation: The increasing availability of phylogenetic and trait data for communities of co-occurring species has created a need for software that integrates ecological and evolutionary analyses. Capabilities: Phylocom calculates numerous metrics of phylogenetic community structure and trait similarity within communities. Hypothesis testing is implemented using several null models. Within the same framework, it measures phylogenetic signal and correlated evolution for species traits. A range of utility functions allow community and phylogenetic data manipulation, tree and trait generation, and integration into scientific workflows. Availability: Open source at: http://phylodiversity.net/phylocom/

Phylocom: software for the analysis of phylogenetic community structure and trait evolution.

The term beta diversity has been used to refer to a wide variety of phenomena. Although all of these encompass some kind of compositional heterogeneity between places, many are not related to each other in any predictable way. The present two-part review aims to put the different phenomena that have been called beta diversity into a common conceptual framework, and to explain what each of them measures. In this first part, the focus is on defining a beta component of diversity. This involves deciding what diversity is and how the observed total or gamma diversity (g) is partitioned into alpha (a) and beta (b) components. Several different definitions of ‘‘beta diversity’’ that result from these decisions have been used in the ecological literature. True beta diversity is obtained when the total effective number of species in a dataset (true gamma diversity g) is multiplicatively partitioned into the effective number of species per compositionally distinct

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A diversity of beta diversities: straightening up a concept gone awry. Part 1. Defining beta diversity as a function of alpha and gamma diversity

Conservation priority setting based on phylogenetic diversity has frequently been proposed but rarely implemented. Here, we define a simple index that measures the contribution made by different species to phylogenetic diversity and show how the index might contribute towards species-based conservation priorities. We describe procedures to control for missing species, incomplete phylogenetic resolution and uncertainty in node ages that make it possible to apply the method in poorly known clades. We also show that the index is independent of clade size in phylogenies of more than 100 species, indicating that scores from unrelated taxonomic groups are likely to be comparable. Similar scores are returned under two different species concepts, suggesting that the index is robust to taxonomic changes. The approach is applied to a near-complete species-level phylogeny of the Mammalia to generate a global priority list incorporating both phylogenetic diversity and extinction risk. The 100 highest-ranking species represent a high proportion of total mammalian diversity and include many species not usually recognised as conservation priorities. Many species that are both evolutionarily distinct and globally endangered (EDGE species) do not benefit from existing conservation projects or protected areas. The results suggest that global conservation priorities may have to be reassessed in order to prevent a disproportionately large amount of mammalian evolutionary history becoming extinct in the near future.

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Mammals on the EDGE: Conservation Priorities Based on Threat and Phylogeny

In this paper, we introduce the concept of ‘originality of a species within a set’ in order to indicate the average rarity of all the features belonging to this species. Using a phylogenetic tree of 70 species of New World terrestrial Carnivora, we suggest measuring the originality by a probability distribution. This maximizes the expected number of features shared by two species randomly drawn from the set. By using this new index, we take account of branch lengths whereas current indices of originality focus on tree topology. As a supplement to Nee and May's optimizing algorithm, we find that originality must be one of the criteria used in conservation planning.

Is the originality of a species measurable

http://max2.ese.u-psud.fr/publications/Theoretical_Population_Biology.pdf

Measuring diversity from dissimilarities with Rao's quadratic entropy: are any dissimilarities suitable?

http://biology.mcgill.ca/faculty/abouheif/articles/Pavoine_et_al_TPB2008.pdf

Testing for phylogenetic signal in phenotypic traits: new matrices of phylogenetic proximities.

The worldwide spread of four groups of alien ant species has been significantly but differently influenced by major events in recent human history: waves of globalization, world wars and global recessions.

/pdf/recent-human-history-governs-global-ant-invasion-dynamics-4x89ako788.pdf

Recent human history governs global ant invasion dynamics

Full genome data sets are currently being explored on a regular basis to infer phylogenetic trees, but there are often discordances among the trees produced by different genes. An important goal in phylogenomics is to identify which individual gene and species produce the same phylogenetic tree and are thus likely to share the same evolutionary history. On the other hand, it is also essential to identify which genes and species produce discordant topologies and therefore evolve in a different way or represent noise in the data. The latter are outlier genes or species and they can provide a wealth of information on potentially interesting biological processes, such as incomplete lineage sorting, hybridization, and horizontal gene transfers. Here, we propose a new method to explore the genomic tree space and detect outlier genes and species based on multiple co-inertia analysis (MCOA), which efficiently captures and compares the similarities in the phylogenetic topologies produced by individual genes. Our method allows the rapid identification of outlier genes and species by extracting the similarities and discrepancies, in terms of the pairwise distances, between all the species in all the trees, simultaneously. This is achieved by using MCOA, which finds successive decomposition axes from individual ordinations (i.e., derived from distance matrices) that maximize a covariance function. The method is freely available as a set of R functions. The source code and tutorial can be found online at http://phylomcoa.cgenomics.org.

Sébastien Ollier

Papers

Is the originality of a species measurable

Measuring diversity from dissimilarities with Rao's quadratic entropy: are any dissimilarities suitable?

Testing for phylogenetic signal in phenotypic traits: new matrices of phylogenetic proximities.

Recent human history governs global ant invasion dynamics

Phylo-MCOA: a Fast and Efficient Method to Detect Outlier Genes and Species in Phylogenomics using Multiple Co-Inertia Analysis