10.5061/DRYAD.6B340
Warwick, Alexa R.
Florida State University
Travis, Joseph
Florida State University
Lemmon, Emily Moriarty
Florida State University
Data from: Geographic variation in the Pine Barrens Treefrog (Hyla
andersonii): concordance of genetic, morphometric, and acoustic signal
data
Dryad
dataset
2015
exchangeability
Hyla andersonii
Anurans
2015-05-13T19:40:42Z
2015-05-13T19:40:42Z
en
https://doi.org/10.1111/mec.13242
437061 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Delimiting species is important to every subfield in biology.
Templeton's cohesion species concept uses genetic and ecological
exchangeability to identify sets of populations that ought to be
considered as the same species, and the lack of exchangeability helps
determine which populations can be grouped as evolutionarily significant
units (ESU) in conservation science. However, previous work assessing
genetic and ecological interchangeability among populations has been
limited in scope. Here, we provide a method for assessing exchangeability
that incorporates multiple, independent lines of multivariate evidence in
genetic, behavioural and morphological data. We use this approach to
assess exchangeability across three disjunct groups of populations of the
Pine Barrens Treefrog (Hyla andersonii) from the eastern United States.
This species is considered threatened by each state in which it occurs and
conservation management of this taxon requires a clearer understanding of
how populations in these three regions may differ from one another. We
find a strikingly concordant pattern in which the first axis of variation
for each of the three types of data distinguishes populations along a
latitudinal gradient and the second axis distinguishes the set of
populations occurring in the Carolinas from those occurring in the New
Jersey and Florida/Alabama regions. We know of no comparable data set that
displays such concordance among different types of data across so large a
geographic range. The overlap in trait values (i.e. exchangeability)
between neighbouring regions, however, is substantial in all three types
of data, which supports continued consideration of this taxon as a single
species.
RAxML_COIcytBAligned COI and cytB sequences used as RAxML input
file.RAxML_bestTreeResulting best tree with bootstrap values generated
using RAxML.Raw acoustic dataJMP raw data file used for acoustic
analysesAcoustic_Dryad.jmpRaw morphometric dataJMP raw data file used for
morphometric analysesMorpho_Dryad.jmpMicrosatellite genotype dataRaw
microsatellite genotype data and input file for Genalex genetic analyses
(principal coordinates)Genetic_Genalex_Dryad.xlsxArlequin input
fileMicrosatellite data input file for Arlequin (Rst, AMOVA, Mantel
Test)Genetic_arlequin_Dryad.arpR script for acoustic calculationsTwo
scripts for acoustic signal variable extraction. One calculates mean, sd,
cv across calls for a single individual and generates a new data file with
all individuals together; the other script calculates these values across
waveforms for a single individual.R_script_Acoustic_calc_CC0.rStarting
file for R scriptFile required to run R script for acoustic variable
calculations. See details within the script document and script ReadMe
file.SumStats.csv
Eastern United States