Ranked tree shapes, non-random extinctions and the loss of phylogenetic diversity

التفاصيل البيبلوغرافية
العنوان: Ranked tree shapes, non-random extinctions and the loss of phylogenetic diversity
المؤلفون: Amaury Lambert, Odile Maliet, Fanny Gascuel
بيانات النشر: Cold Spring Harbor Laboratory, 2017.
سنة النشر: 2017
مصطلحات موضوعية: Tree (data structure), Phylogenetic diversity, Extinction, Range (biology), Statistics, Species diversity, Species richness, Clade, Relative species abundance, Mathematics
الوصف: Phylogenetic diversity (PD) is a measure of the evolutionary legacy of a group of species, which can be used to define conservation priorities. It has been shown that an important loss of species diversity can sometimes lead to a much less important loss of PD, depending on the topology of the species tree and on the distribution of its branch lengths. However, the rate of decrease of PD strongly depends on the relative depths of the nodes in the tree and on the order in which species become extinct. We introduce a new, sampling-consistent, three-parameter model generating random trees with covarying topology, clade relative depths and clade relative extinction risks. This model can be seen as an extension to Aldous’ one parameter splitting modelβ, which controls for tree balance) with two additional parameters: a new parameterαquantifying the correlation between the richness of a clade and its relative depth, and a parameterηquantifying the correlation between the richness of a clade and its frequency (relative abundance or range), taken herein as a proxy for its overall extinction risk. We show on simulated phylogenies that loss of PD depends on the combined effect of all three parameters,β, αandη. In particular, PD may decrease as fast as species diversity when high extinction risks are clustered within small, old clades, corresponding to a parameter range that we term the ‘thin ice zone’ (β< –1 orα< 0;η> 1). Besides, when high extinction risks are clustered within large clades, the loss of PD can be higher in trees that are more balanced (β> 0), in contrast to the predictions of earlier studies based on simpler models. We propose a Monte-Carlo algorithm, tested on simulated data, to infer all three parameters. Applying it to a real dataset comprising 120 bird clades (class Aves) with known range sizes, we show that parameter estimates precisely fall close to close to a ‘thin ice zone’: the combination of their ranking tree shape and non-random extinctions risks makes them prone to a sudden collapse of PD.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8063622eb4e0f8a61efded74a084f5ff
https://doi.org/10.1101/224295
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....8063622eb4e0f8a61efded74a084f5ff
قاعدة البيانات: OpenAIRE