Towards a better understanding of avian collisions in wind energy facilities using automatic detection systems

The rapid expansion of wind power energy has direct negative impacts on biodiversity, notably on avifauna through collisions with turbines. A better understanding of the collision causes is the key to improving mitigation efforts. Collisions are the result of a combination of environmental factors that increase bird sensitivity and exposure to collisions. To date, potential risk factors have mostly been assessed individually, in few species of interest and/or at a small spatio-temporal scales, despite the multifaceted nature of collision risk. To fill this gap, we used for the first time data from automatic detection systems (optic systems that automatically detect and monitor birds in the vicinity of wind turbines) to simultaneously assess the effects of behavioral and environmental factors on bird sensitivity (here, estimated as the bird presence in the risk zone) and exposure (here, estimated as the frequency with which birds use the zone). We analyzed 205,867 bird trajectories from ..., , , # Data from: Towards a better understanding of avian collisions in wind energy facilities using automatic detection systems

[https://doi.org/10.5061/dryad.sj3tx96fx](https://doi.org/10.5061/dryad.sj3tx96fx)

## Description of the data and file structure

Data were automatically recorded by automatic detection systems (ADS) on turbines in 11 wind energy facilities (WEF) in France between 2018 and 2023. Their acquisition, processing, and analysis are fully described in the associated publication \"Towards a better understanding of avian collisions in wind energy facilities using automatic detection systems\".

### Files and variables

#### File: JAPPL-2024-01035\_data.csv

**Description:** 

##### Variables

* trackID: unique ID of the detected bird
* WEF_ID: unique ID of the Wind Energy Facility
* ADS_ID: unique ID of the Automatic Detection System
* ADS_type: type of ADS, either optical with or without stereoscopy (3D or 2D)
* datetime: date and time of the bird detection
* julianDay: da...,