Data and code for 'Connectivity over a disease gradient enables recovery of rainforest frogs'
- 1. College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland 4811, Australia
- 2. Institute of Land, Water and Society, Charles Sturt University, Albury, New South Wales 2640, Australia
- 3. One Health Research Group, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Werribee, Victoria 3030, Australia
Description
This repository provides all data and R code from the analysis presented in the following paper:
Bell, S.C., Heard, G.W., Berger, L. and Skerratt, L.F. (in review). Connectivity over a disease risk gradient enables recovery of rainforest frogs.
The data are provided as a series of .csv files. R code is provided separately for each of the following components:
1. A script to collate nightly air temperature data from stream-side temperature loggers, plus daily maximum air temperature data from the nearest Australian Bureau of Meteorology recording station to each site.
2. A script to fit a hierarchical linear model to the stream-side air temperature, with the aid of the R2OpenBUGS package.
3. A script to fit a hierarchical logistic regression model to the chytrid infection data, with the aid of the R2OpenBUGS package.
4. A script to fit logistic regression models to the frog occupancy data, with the aid of the R2OpenBUGS package.
These files allow all analyses from the paper to be reproduced.
Files
Behana_Gorge_air_temps.csv
Files
(7.6 MB)
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