Data and code for: Acoustic monitoring enables multi-taxa conservation assessment and prioritisation over large scales and for rare and cryptic species

This dataset contains the raw occurrence and acoustic activity (detections/night) of nocturnally active species surveyed in Ukrainian and Belarusian Polesia by passive acoustic monitoring, and associated landcover and metadata, from over 500 sites. This dataset was collected using Wildlife Acoustics SM4 FS acoustic recorders and processed using BTO machine-learning classifiers. The presence of each species and a minimum of 100 detections per species/per site was manually verified (unless there were fewer detections). The code provided is for the occupancy and abundance models for describing and predicting the distribution of these species over the region of Polesia. These data provide the foundation for assessing protected area coverage and efficacy in Polesia.
, , # Data for: Acoustic monitoring enables multi-taxa conservation assessment and prioritisation over large scales and for rare and cryptic species

Dataset DOI: [10.5061/dryad.kd51c5bj3](10.5061/dryad.kd51c5bj3)

## Description of the data and file structure

Data was collected during acoustic monitoring surveys of over 500 sites in Polesia. Raw data (species_occurence_activity.zip) contains the species occurrence (per night of recording and split into bats, birds, bush crickets, and small mammals), or activity data (detections per recording period) for each sampling site in an R data file format with associated land cover variables at a 20m, 1km and 5km resolution.

data-prep_(1).R and abund-data-prep.R contain R code to prepare the data for modelling.

The prediction surface for each model (environmental variables of which occupancy and abundance is predicted over) is contained in prediction_surfaces.zip.

All other .zip files contain the R code for the model the file is named for (e.g....,