Fatal attraction: migratory bats are lured to wind turbine blades
Notice bibliographique
Résumé
Wind turbines are important for global energy production because of their low greenhouse gas emissions. However, for unknown reasons, many migratory bats are colliding with the wind turbine blades, leading to mass die-offs. As vision plays an important role for bats as they fly, often allowing them to avoid obstacles, one thought is that bats are visually attracted to wind turbines, causing them to mistakenly fly towards and fatally collide with the fast-moving blades. This idea led independent researcher Kristin Jonasson (USA) and researchers from the University of Colorado Colorado Springs, the National Renewable Energy Laboratory and the USDA Forest Service Pacific Southwest Research Station (all in the USA) to determine whether two of the most common migratory bat species affected by wind turbines in North America – hoary bats (Lasiurus cinereus) and silver-haired bats (Lasionycteris noctivagans) – were visually attracted to light reflecting off wind turbine blades.Between 15 September and 13 October 2024, the team caught 242 hoary and 154 silver-haired bats in Humboldt Redwoods State Park (CA, USA). They then transported the bats in cloth bags a short distance to a location where they had built a large Y-shaped structure, known as a Y-maze, for the bats to fly through. At the end of one of the two arms, the researchers placed an industry standard, glossy, white-painted decommissioned wind turbine blade illuminated by a light replicating moonlight. At the end of the other arm, the researchers placed a matte black-painted decommissioned wind turbine blade illuminated with replicated moonlight or an unlit matte black-painted decommissioned wind turbine blade, or they removed the wind turbine blade entirely and left the arm dark and empty. The researchers then released the bats individually into the maze, filming the animals as they flew through the structure and selected one arm of the maze or the other, while also recording their echolocation clicks, to find out whether the bats are attracted to the simulated moonlight reflecting off the white or the black wind turbine blades.The researchers found that both species flew through the arm of the Y-maze with the illuminated white-painted wind turbine blade twice as often as the arm with the matte black-painted wind turbine blade (lit or unlit) or with no wind turbine blade. From this, they concluded that bats are likely attracted to the simulated moonlight reflected from the wind turbine blade. Additionally, the bats chose the white-painted wind turbine arm more often than the dark empty maze arm (97% of hoary bats and 74% of silver-haired bats), suggesting that these bats prioritize vision over echolocation as they navigate through the air, even though all of the bats were confirmed to be echolocating while they were flying.Overall, Jonasson and colleagues have successfully shown that two North American migratory species of bats are visually attracted to moonlight that reflects off wind turbine blades. A future step in protecting these bats is to make sustainable changes to wind turbines, so they can continue generating electricity while ensuring that bats are not in peril from their fast-moving blades.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».