paleobuddy: paleobuddy: Simulating diversification dynamics

In brpetrucci/paleobuddy: Simulating Diversification Dynamics

paleobuddy: Simulating diversification dynamics

Description

paleobuddy provides users with flexible scenarios for species birth-death simulations. It also provides the possibility of generating phylogenetic trees (with extinct and extant species) and fossil records (with a number of preservation scenarios) from the same underlying process.

Birth-death simulation

Users have access to a large array of scenarios to use and combine for species birth-death simulation. The function bd.sim allows for constant rates, rates varying as a function of time, or time and/or an environmental variable, as well as age-dependent rates by using a shape parameter from a Weibull distribution (which can itself also be time-dependent). Extinction and speciation rates can be supplied independently, so that one can combine any types of scenarios for birth and death rates. The function find.lineages separates birth-death simulations into monophyletic clades so one can generate fossil records and phylogenies (see below) for clades with a specific mother species. This is particularly useful for simulations with multiple starting species. See ?bd.sim and ?find.lineages for more information.

All birth-death simulation functions return a sim object, which is a list of vectors containing speciation times, extinction times, status (extant or extinct) and parent identity for each species of the simulation. We supply methods for summarizing and printing sim objects in a more informative manner (see Visualization below). See ?sim for more information.

Fossil record simulation

The package provides users with a similarly diverse array of scenarios for preservation rates in generating fossil records from birth-death simulations. The function sample.clade accepts constant, time-varying, and environmentally dependent rates. Users might also supply a model describing the distribution of fossil occurrences over a species duration to simulate age-dependent sampling. See ?sample.clade for more information.

Phylogeny generation

We believe it is imperative to be able to generate fossil records and phylogenetic trees from the same underlying process, so the package provides make.phylo, a function that takes a simulation object of the form returned by bd.sim and generates a phylo object from the APE package. One can then use functions such as ape::plot.phylo and ape::drop.fossil to plot the phylogeny or analyze the phylogeny of extant species. Since APE is not required for any function in the package, it is a suggested but not imported package. Note that, as above, the function find.lineages allows users to separate clades with mother species of choice, the results of which can be passed to make.phylo to generate separate phylogenies for each clade. See ?make.phylo and ?find.lineages for more information.

Note: If a user wishes to perform the opposite operation - transform a phylo object into a sim object, perhaps to use paleobuddy for sampling on phylogenies generated by other packages, see ?phylo.to.sim.

Visualization

paleobuddy provides the user with a number of options for visualizing a sim object besides phylogenies. The sim object returned by birth-death simulation functions (see above) has summary and plot methods. summary(sim) gives quantitative details of a sim objective, namely the total and extant number of species, and summaries of species durations and speciation times. plot(sim) plots births, deaths, and diversity through time for that realization. The function draw.sim draws longevities of species in the simulation, allowing for customization through the addition of fossil occurrences (which can be time points or ranges), and vertical order of the drawn longevities.

Utility functions

The package makes use of a few helper functions for simulation and testing that we make available for the user. rexp.var aims to emulate the behavior of rexp, the native R function for drawing an exponentially distributed variate, with the possibility of supplying a time-varying rate. The function also allows for a shape parameter, in which case the times drawn will be distributed as a Weibull, possibly with time-varying parameters, for age-dependent rates. var.rate.div calculates the expected diversity of a birth-death process with varying rates for any time period, which is useful when testing the birth-death simulation functions. Finally, binner takes a vector of fossil occurrence times and a vector of time boundaries and returns the number of occurrences within each time period. This is mostly for use in the sample.clade function. See ?rexp.var, ?var.rate.div and ?binner for more information.

Author(s)

Bruno do Rosario Petrucci, Matheus Januario and Tiago B. Quental

Maintainer: Bruno do Rosario Petrucci <[e-mail]>

Examples

# here we present a quick example of paleobuddy usage
# for a more involved introduction, see the \code{overview} vignette

# make a vector for time
time <- seq(0, 10, 0.1)

# speciation rate
lambda <- function(t) {
  0.15 + 0.03*t
}

# extinction rate
mu <- 0.08

# these are pretty simple scenarios, of course
# check the examples in ?bd.sim for a more comprehensive review

# diversification
d <- function(t) {
  lambda(t) - mu
}

# calculate how many species we expect over 10 million years
div <- var.rate.div(rate = d, n0 = 1, t = time)
# note we are starting with 3 species (n0 = 3), but the user
# can provide any value - the most common scenario is n0 = 1

# plot it
plot(time, rev(div), type = 'l', main = "Expected diversity",
     xlab = "Time (My)", ylab = "Species",
     xlim = c(max(time), min(time)))

# we then expect around 9 species 
# alive by the present, seems pretty good

# set seed
set.seed(1)

# run the simulation
sim <- bd.sim(n0 = 1, lambda = lambda, mu = mu, 
              tMax = 10, nFinal = c(20, Inf))
# nFinal controls the final number of species
# here we throw away simulations with less than 20 species generated

# draw longevities
draw.sim(sim)

# from sim, we can create fossil records for each species
# rho is the fossil sampling rate, see ?sample.clade
samp <- sample.clade(sim = sim, rho = 0.75, tMax = 10,
                     bins = seq(10, 0, -1))
# note 7 out of the 31 species did not leave a fossil - we can in this way
# simulate the incompleteness of the fossil record

# we can draw fossil occurrences as well, and order by extinction time
draw.sim(sim, fossils = samp, sortBy = "TE")

# take a look at the phylogeny
if (requireNamespace("ape", quietly = TRUE)) {
  ape::plot.phylo(make.phylo(sim), root.edge = TRUE)
  ape::axisPhylo()
}

brpetrucci/paleobuddy documentation built on July 26, 2023, 8:15 p.m.