17 research outputs found
Preparing for a Bsal invasion into North America has improved multi-sector readiness
Western palearctic salamander susceptibility to the skin disease caused by the amphibian chytrid fungus Batrachochytrium salamandrivorans (Bsal) was recognized in 2014, eliciting concerns for a potential novel wave of amphibian declines following the B. dendrobatidis (Bd) chytridiomycosis global pandemic. Although Bsal had not been detected in North America, initial experimental trials supported the heightened susceptibility of caudate amphibians to Bsal chytridiomycosis, recognizing the critical threat this pathogen poses to the North American salamander biodiversity hotspot. Here, we take stock of 10 years of research, collaboration, engagement, and outreach by the North American Bsal Task Force. We summarize main knowledge and conservation actions to both forestall and respond to Bsal invasion into North America. We address the questions: what have we learned; what are current challenges; and are we ready for a more effective reaction to Bsal’s eventual detection? We expect that the many contributions to preemptive planning accrued over the past decade will pay dividends in amphibian conservation effectiveness and can inform future responses to other novel wildlife diseases and extreme threats
RAxML_COIcytB
Aligned COI and cytB sequences used as RAxML input file
Data from: Geographic variation in the Pine Barrens Treefrog (Hyla andersonii): concordance of genetic, morphometric, and acoustic signal data
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
Raw morphometric data
JMP raw data file used for morphometric analyse
RAxML_bestTree
Resulting best tree with bootstrap values generated using RAxML
Starting file for R script
File required to run R script for acoustic variable calculations. See details within the script document and script ReadMe file
Raw acoustic data
JMP raw data file used for acoustic analyse
R script for acoustic calculations
Two 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
Arlequin input file
Microsatellite data input file for Arlequin (Rst, AMOVA, Mantel Test
Microsatellite genotype data
Raw microsatellite genotype data and input file for Genalex genetic analyses (principal coordinates