Long-term monitoring in endangered woodlands shows effects of multi-scale drivers on bird occupancy
Cite this dataset
Hingee, Kassel; Lindenmayer, David; Westgate, Martin (2022). Long-term monitoring in endangered woodlands shows effects of multi-scale drivers on bird occupancy [Dataset]. Dryad. https://doi.org/10.5061/dryad.tqjq2bw08
Abstract
Occupancy predictor data, detection predictor data, and species detections from sites in remnant Box Gum Grassy Woodland patches in south-eastern Australia. Only sites, species, and predictors used in our statistical analysises included. For privacy, predictors have been standardised (mean = 0, standard deviation = 1) and latitude and longitude have been offset by random vectors.
Methods
Values were obtained as per descriptions in the associated paper. Predictor variables have been standardised so that values in the in-sample data have a mean of 0 and standard deviation of 1.
Usage notes
Please see the README.txt file for descriptions of all files.
Funding