Influence of rotation speed and frequency on the decision of Columba livia domestica to cross the rotor-swept area of paper blades mimicking a wind turbine
Data files
Nov 04, 2024 version files 77.28 KB
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README.md
1.51 KB
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trajectory.xlsx
75.77 KB
Abstract
To reduce bird collisions with wind turbines, automatic detection systems have been developed to slow the blades down when a bird is approaching. We experimentally tested whether blade rotational speed (i.e., number of rotations per min) and frequency (i.e., number of times a blade passes a point per min) affected the decision time (i.e., time to take-off), path choice (i.e., the position in the aviary), and decision to cross the rotor-swept area in Columba livia domestica (rock dove [domestic variety]; aka homing pigeon; hereafter, pigeon). We used a homemade device with paper blades, mimicking the movement of wind turbine blades. We adjusted the paper blade dimensions and achromatic contrast with the background to match the visual capabilities of pigeons, increasing the probability of detection. Pigeons were less likely to cross the rotor-swept area at higher speeds and frequencies, independent of their decision time. When pigeons crossed the rotor-swept area (43 out of 160 trials), 63% collided with the blades, regardless of blade speed or frequency. Pigeons chose to avoid the rotor-swept area after they had traveled half the distance to the wind turbine. Pigeons were not better able to avoid the rotor-swept area when blades were rotating at low speed and/or frequency and often collided with the blades. Thus, slowing blades to a low rotational speed may not reduce collisions with some species and a complete turbine shutdown may be necessary. The feasibility and economic costs of regular complete shutdowns after the deceleration triggered by the automatic detection systems need further investigation.
README: Influence of rotation speed and frequency on the decision of Columba livia domestica to cross the rotor-swept area of paper blades mimicking a wind turbine
https://doi.org/10.5061/dryad.7h44j1043
Description of the data and file structure
This dataset contains the coordinates of the pigeons' wingtips for each test carried out as part of the study. The coordinates were obtained using the method developed by Srinivasan et al. 2022.
Files and variables
File: trajectory.xlsx
Description:
NA indicates that values are not available.
Variables
- Bird_ID: ID of the bird
- Speed: Speed of the blades (rotations per minute)
- Nb_Blade: Number of blades: 0 (no blade), 2 or 4 blades
- Position_number: Order in which the positions of the birds along the trajectory were recorded. This figure is variable for each trajectory, as it depends on the number of wing beats the bird makes to cross the aviary. Each position recorded corresponds to a point in time when the bird's wings were fully extended.
- X_left: Horinzontal position of the bird's left wing tip (see fig. 1 of the article)
- X_right: Horinzontal position of the bird's right wing tip (see fig. 1 of the article)
- Y_left: Vertical position of the bird's left wing tip (see fig. 1 of the article)
- Y_right: Vertical position of the bird's right wing tip (see fig. 1 of the article)
- Height: Height of the bird (cm), a value of 0 indicates that the bird was on the ground
Methods
This dataset contains the coordinates of the pigeons' wingtips for each test carried out as part of the study. The coordinates were obtained using the method developed by Srinivasan et al. 2022.