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Enregistrement W2312521726 · doi:10.1242/jeb.084640

NO EXCESS BAGGAGE: BODY CHANGES IN MIGRATING BATS

2013· article· en· W2312521726 sur OpenAlexaboutno aff
Nicola Stead

Notice bibliographique

RevueJournal of Experimental Biology · 2013
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueBat Biology and Ecology Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGeographyBiologyZoologyEcology

Résumé

récupéré en direct d'OpenAlex

Rather than hibernate during the cold Canadian winter, hoary bats prefer to undertake an impressive migration to their wintering grounds in Southern USA and Mexico before returning home to Canada during the spring. These bats are not the only winged animals to undertake such mammoth journeys, with many birds also migrating similar distances to escape harsh winters. However, as Liam McGuire from the University of Western Ontario, Canada, points out, ‘We know quite a lot about bird migration, but migratory bats haven't been studied to any extent at all.’ Do bats use the same strategies as birds to fuel their long-haul trips? McGuire decided to investigate, and travelled to New Mexico, USA, and Saskatchewan, Canada, to capture bats at the beginning and end of their spring migration (p. 800).On his return to the lab, McGuire compared the mass of different organs and the fatty acid composition of adipose and muscle tissue in the two different groups of bats, helped by his co-advisors, Brock Fenton and Christopher Guglielmo. They found that migrating bats had higher levels of fatty acids that can be easily burnt to fuel flight and that they had larger exercise organs (for example the heart and lungs). However, to the team's surprise they had smaller digestive organs. McGuire explains that in avian migrants, reduction of digestive organs only occurs when they travel long distances without the chance to eat and refuel – they don't want to lug around excess baggage. However, hoary bats have plenty of pit stop opportunities on their route and McGuire says that he ‘expected that the bats would have increased the size of their digestive organs so that they could take advantage of opportunities to refuel quickly’.Does this mean that bats are abstaining for the duration of their migration like their fasting feathered friends? McGuire doesn't think so. He found that most bats had in fact eaten something prior to their capture. Instead, he finds it helpful to think of the bats' fat energy store like a car's petrol tank, which they fill up at the beginning of their migration, but rather than letting it run completely dry they drain it a little every day and top it up frequently with small meals. Therefore they don't need increased digestive capacity. This fits with their nocturnal nature, points out McGuire, who suspects that, ‘They may fly at night and as the sun's coming up they go down to where they're going to spend the day, grab a quick bite to eat, before roosting somewhere’.McGuire also found that there were differences between the sexes, with female bats reducing more of their lean body mass (mass that isn't fat) to increase the amount of relative body fat that they carry. Furthermore, when McGuire looked specifically at the types of fatty acids that make up the muscle membrane, he found variation in the ratios of omega-3 and omega-6 fatty acids between males and females. McGuire suspects that these differences mean that males use torpor – reduction of body temperature and metabolic rate – during their daily roosts to conserve energy. Females cannot profit from torpor to save energy, as during the spring migration they are pregnant and cannot drop their body temperature without harming their future offspring. They thus need to fill up their ‘tank’ even more than male bats before the spring migration.Migration represents a real challenge for these bats. However, it seems that they plan differently to birds to cope with this demanding journey, using strategies that are tailored to individual bats' needs – namely, a dislike of daylight and the possibility of being pregnant.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,016

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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.

Tête enseignante Opus0,024
Tête enseignante GPT0,270
Écart entre enseignants0,246 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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