https://www.nature.com/articles/sdata2017123 AbstractCurrent ecological and evolutionary research are increasingly moving from species- to trait-based approaches because traits provide a stronger link to organism’s function and fitness. Trait databases covering a large number of species are becoming available, but such data remains scarce for certain groups. Amphibians are among the most diverse vertebrate groups on Earth, and constitute an abundant component of major terrestrial and freshwater ecosystems. They are also facing rapid population declines worldwide, which is likely to affect trait composition in local communities, thereby impacting ecosystem processes and services. In this context, we introduce AmphiBIO, a comprehensive database of natural history traits for amphibians worldwide. The database releases information on 17 traits related to ecology, morphology and reproduction features of amphibians. We compiled data from more than 1,500 literature sources, and for more than 6,500 species of all orders (Anura, Caudata and Gymnophiona), 61 families and 531 genera. This database has the potential to allow unprecedented large-scale analyses in ecology, evolution, and conservation of amphibians. Oliveira, B. F., São-Pedro, V. A., Santos-Barrera, G., Penone, C., & Costa, G. C. figshare https://doi.org/10.6084/m9.figshare.4644424 (2017) #download data from https://doi.org/10.6084/m9.figshare.4644424 #Load package, change to your destination library(tidyverse) # if tidyverse isn't installed, run this: install.packages("tidyverse") #Load package, change to your destination AmphiBIO_v1 <- read.csv("C:/Users/John/Google Drive/AmphiBIO_v1.csv") #select species AnFo <-filter(AmphiBIO_v1,Species=="Anaxyrus fowleri") AnAm <-filter(AmphiBIO_v1,Species=="Anaxyrus americanus") AnTe <-filter(AmphiBIO_v1,Species=="Anaxyrus terrestris") LiCa <-filter(AmphiBIO_v1,Species=="Lithobates catesbianus") LiCl <-filter(AmphiBIO_v1,Species=="Lithobates clamitans") LiPi <-filter(AmphiBIO_v1,Species=="Lithobates pipiens") LiSp <-filter(AmphiBIO_v1,Species=="Lithobates sphenocephalus") LiPa <-filter(AmphiBIO_v1,Species=="Lithobates palustris") LiSy <-filter(AmphiBIO_v1,Species=="Lithobates sylvaticus") ScHo <-filter(AmphiBIO_v1,Species=="Scaphiopus holbrookii") #group species into a dataframe prey_frogs <- bind_rows(AnFo,AnAm,AnTe,LiCa,LiCl,LiPi,LiSp,ScHo,LiSy,LiPa) #limit columns to those interested in prey_frogs <- transmute(prey_frogs, Species=Species, Body_mass_g = Body_mass_g, Body_length_mm = Body_size_mm) #view dataframe prey_frogs |
About the Blog (not really a blog, just a repository for notes, musings, and draft code/tutorials)
Into the Phrag is a reference to the mental and physical exertion required to wade into a sea of the invasive genotype of Phragmites australis. This version of the Common Reed is non-native to the United States and causes signifigant economic and ecologic damage. It can grow to be over 15 feet tall, making it labyrinth like and easy to get lost in. It blocks radio-telemetry signals, lacerates human skin, and is really good at poking you in the eye. Every field biologist hates it. Learn more here: www.fws.gov/gomcp/pdfs/phragmitesqa_factsheet.pdf Blog Posts
December 2020
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