In joelnitta/canaper: Categorical Analysis of Neo- And Paleo-Endemism

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canaper

#' @srrstats {G1.1} documents novelty

The goal of canaper is to enable categorical analysis of neo- and paleo-endemism (CANAPE) in R.

• For tutorials, see the canaper website.

Installation

The stable version can be installed from CRAN:

install.packages("canaper")

The development version can be installed from r-universe or github:

# r-universe
options(repos = c(
  ropensci = "https://ropensci.r-universe.dev/", 
  CRAN = "https://cran.rstudio.com/"
))
install.packages("canaper", dep = TRUE)

# OR

# github (requires `remotes` or `devtools`)
remotes::install_github("ropensci/canaper")

Example usage

These examples use the dataset from Phylocom. The dataset includes a community (site x species) matrix and a phylogenetic tree.

library(canaper)

data(phylocom)

# Example community matrix including 4 "clumped" communities,
# one "even" community, and one "random" community
phylocom$comm

# Example phylogeny
phylocom$phy

The main "workhorse" function of canaper is cpr_rand_test(), which conducts a randomization test to determine if observed values of phylogenetic diversity (PD) and phylogenetic endemism (PE) are significantly different from random. It also calculates the same values on an alternative phylogeny where all branch lengths have been set equal (alternative PD, alternative PE) as well as the ratio of the original value to the alternative value (relative PD, relative PE).

set.seed(071421)
rand_test_results <- cpr_rand_test(
  phylocom$comm, phylocom$phy,
  null_model = "swap"
)

cpr_rand_test produces a lot of columns (nine per metric), so let's just look at a subset of them:

rand_test_results[, 1:9]

This is a summary of the columns:

• *_obs: Observed value
• *_obs_c_lower: Count of times observed value was lower than random values
• *_obs_c_upper: Count of times observed value was higher than random values
• *_obs_p_lower: Percentage of times observed value was lower than random values
• *_obs_p_upper: Percentage of times observed value was higher than random values
• *_obs_q: Count of the non-NA random values used for comparison
• *_obs_z: Standard effect size (z-score)
• *_rand_mean: Mean of the random values
• *_rand_sd: Standard deviation of the random values

The next step in CANAPE is to classify endemism types according to the significance of PE, alternative PE, and relative PE. This adds a column called endem_type.

canape_results <- cpr_classify_endem(rand_test_results)

canape_results[, "endem_type", drop = FALSE]

This data set is very small, so it doesn't include all possible endemism types. In total, they include:

• paleo: paleoendemic
• neo: neoendemic
• not significant (what it says)
• mixed: mixture of both paleo and neo
• super: mixed and highly significant (p < 0.01)

For a more complete example, please see the vignette

Comparsion with other software

Several other R packages are available to calculate diversity metrics for ecological communities. The non-exhaustive summary below focuses on alpha diversity metrics in comparison with canaper, and is not a comprehensive description of each package.

• PhyloMeasures: Calculates phylogenetic community diversity metrics including MPD, MNTD, PD, phylosor, and unifrac. Null models for matrix randomization include uniform, frequency.by.richness, and sequential.
• phyloregion: Calculates PD but not MPD or MNTD. Implements sparse matrix encoding to increase computing speed, which is used by canaper. Null models for matrix randomization include tipshuffle, rowwise, and colwise. Also performs regionalization based on taxonomic or phylogenetic beta diversity.
• picante: Calculates MPD, MNTD, PD, etc. Null models for community matrix randomization include frequency, richness, independentswap, and trialswap.
• vegan: Performs a large range of mostly non-phylogenetic diversity analyses. Includes the largest selection of null models (> 20), according to data type (binary vs. quantitative). canaper uses vegan to randomize community matrices.
• biodiverse: Not an R package, but software written in perl with a GUI. Performs all of the calculations needed for CANAPE, and many other metrics (> 300). Includes rand_structured null model as well as spatially structured null models. None of these null models are currently available in any R packages AFAIK, except for independentswap.

Other information

Poster at Botany 2021

• PDF
• Video

Citing this package

If you use this package, please cite it! Here is an example:

• Nitta JH, Laffan SW, Mishler BD, Iwasaki W. (2021) canaper: Categorical analysis of neo- and paleo-endemism in R. doi: 10.5281/zenodo.5094032

The example DOI above is for the overall package.

Here is the latest DOI, which you should use if you are using the latest version of the package:

You can find DOIs for older versions by viewing the "Releases" menu on the right.

Papers citing canaper

• van Galen et al. 2023. "Correlated evolution in an ectomycorrhizal host-symbiont system". New Phytologist https://doi.org/10.1111/nph.18802
• Naranjo et al. 2023. "Ancestral area analyses reveal Pleistocene-influenced evolution in a clade of coastal plain endemic plants". Journal of Biogeography 50, 393-405 https://doi.org/10.1111/jbi.14541
• Ellepola et al. 2022. "The role of climate and islands in species diversification and reproductive-mode evolution of Old World tree frogs". Communications Biology 5, 347 https://doi.org/10.1038/s42003-022-03292-1
• Lu et al. 2022 "A comprehensive evaluation of flowering plant diversity and conservation priority for national park planning in China". Fundamental Research https://doi.org/10.1016/j.fmre.2022.08.008
• Nitta et al. 2022 "Spatial phylogenetics of Japanese ferns: Patterns, processes, and implications for conservation". American Journal of Botany 109, 727-745 https://doi.org/10.1002/ajb2.1848

Contributing and code of conduct

Contributions to canaper are welcome! For more information, please see CONTRIBUTING.md

Please note that this package is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Note to developers

roxyglobals is used to maintain R/globals.R, but is not available on CRAN. You will need to install this package from github and use the @autoglobal or @global roxygen tags to develop functions with globals.

Licenses

• Code: MIT
• Example datasets
• acacia, biod_example: GNU General Public License v3.0
• phylocom: BSD-3-Clause

References

Mishler, B., Knerr, N., González-Orozco, C. et al. Phylogenetic measures of biodiversity and neo- and paleo-endemism in Australian Acacia. Nat Commun 5, 4473 (2014). https://doi.org/10.1038/ncomms5473

joelnitta/canaper documentation built on May 7, 2023, 10:28 a.m.