Notice bibliographique
Résumé
Flying in the cluttered rainforest is challenging at the best of times, and it is particularly challenging for little bats when it rains. In 1971, Donald R. Griffin showed how high humidity and rain interferes with echolocation, which could explain why many bats won't fly during a downpour. In addition, having wet fur could increase the energetic costs of thermoregulation and decrease the aerodynamic properties of the bat by causing the fur to clump together. However, no one knew how much of an impact getting wet might have on bats in flight. In a recent study, Christian C. Voig and his colleagues from the Leibniz Institute for Zoo and Wildlife Research, and from the Freie Universität Berlin, Germany, measured the cost incurred by bats when flying in the rain.The researchers studied 10 Sowell's short-tailed bats (Carollia sowelli) at La Selva Biological Station in Costa Rica. Each bat was exposed to three treatments in random order. In the first treatment, the researchers allowed the bats to fly in dry conditions; the second treatment consisted of wetting the bats with tap water and then allowing them to fly; and during the third treatment, the bats were exposed to moderate rain while flying. Voig and his colleagues measured the metabolic rate of the bats before, during and after flight to determine the cost of flight during these three different conditions.The metabolic rate of dry bats while flying conformed to the team's expectations for mammals of that size. However, the metabolic rate of the wet bats was more than twice as high as that of the dry bats, and it didn't matter how the animals had been drenched.Although the additional weight of water itself could partially explain the higher cost of flying while wet, the researchers point out that a twofold increase in metabolic rate would have required the average 18 g bat to be carrying 25 g of water, which is unlikely as dry and wet bats weighed about the same. The increase in flight costs was also not due to changes in flight pattern caused by the raindrops, because the wet bats that had been doused with tap water experienced the same increase in metabolic rate as the bats that had been rained on.However, Voig and his team of researchers noticed that water caused the bats' fur to clump, which could decrease the aerodynamic properties of the fur, increasing the costs of lift and thrust during flight. They also suggest that the cooling effect of water evaporating from the bat's fur and wing membranes increases the cost of thermoregulation and could therefore increase the cost of flight.Off all living and extinct vertebrates, only three groups have evolved flight: pterosaurs, birds and bats; but of these three groups, only bats are covered with fur. Although fur aids in bats' thermoregulation by providing insulation, Voig's study shows that having fur can be a drag if you are a hungry little bat trying to forage in the rain.
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 | 0,000 | 0,001 |
| 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 | 0,000 | 0,000 |
| 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) | 0,009 | 0,001 |
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 ».