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Enregistrement W1968999780 · doi:10.1242/jeb.00246

BORN TO DIVE

2003· article· en· W1968999780 sur OpenAlexaboutno aff
Sarah Tilley

Notice bibliographique

RevueJournal of Experimental Biology · 2003
Typearticle
Langueen
DomaineEnvironmental Science
ThématiquePhysiological and biochemical adaptations
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEnvironmental scienceBiologyZoology

Résumé

récupéré en direct d'OpenAlex

Muskrats live in an extreme environment where temperatures can soar to 30°C during summer and drop to –40°C in winter. But being partial to plant tubers, winter means that muskrats have to keep diving under the ice covering their marsh to find food. `What really hits you is how much their swimming behaviour changes in the winter', explains Robert MacArthur who has studied muskrats for a number of years. But when he tried to address the question of what made a muskrat a good diver, he found more questions than answers.Originally MacArthur wanted to understand how such small animals maintained their body temperature in such extremes, and this initial question has led to further studies of their diving. Muskrats dive from a very early age –if a mother is disturbed she will dive into the water dragging her young in with her. `I think of them as little prairie seals,' jokes MacArthur. His work then progressed onto the question of what makes a good diver. It is thought that adult animals are more superior divers than juveniles because experiments predict that they would respire more slowly underwater and store more oxygen. While it is often thought that juveniles acquire these abilities in the normal course of diving, few experiments have looked specifically at whether dive experience improves the physiological capability to dive. So MacArthur and his colleagues in Winnipeg, Canada, trained groups of muskrats to either dive or swim at the surface in a maze in search of food(p. 1153).Previous experiments on seals and tufted ducks have shown that diving experience alters how oxygen is stored in the body Sure enough, when the Winnipeg group checked the muskrat blood they found levels of the oxygen-carrying protein haemoglobin were raised. But this was the only significant change they found.`One surprise is that we didn't see the expected change in myoglobin levels', explains MacArthur. Myoglobin, which carries oxygen in the muscles,is thought to be important in the development of diving ability in marine birds and mammals. MacArthur already knew that wild muskrats store significantly more oxygen in their blood and muscles during winter when compared to the summer months. But without seeing altered myoglobin levels, or other changes that they can attribute to diving experience, it is hard for MacArthur and his colleagues to know what causes this seasonal change.So it's back to the lab for MacArthur. There are many other aspects of diving muskrats that he would like to take a closer look at. While this experiment was carefully designed, water temperature was not considered and he wants to study this further. He would also like to see how longer dive times would affect the results of this study. `Their dive times were typical of nature', explains MacArthur, but they can dive for twice as long as the maze allowed for. This also raises another question: `At what point do they become anaerobic?' MacArthur is already looking at this by examining lactic acid kinetics in these mammals. Another option would to be to train `naïve'muskrats – juveniles that have never dived – in his maze. But there is always the possibility that muskrats are just born to dive.

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)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,351
Score d'incertitude au seuil0,926

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0030,001
Communication savante0,0030,003
Science ouverte0,0010,006
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,3510,231

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 Opus0,021
Tête enseignante GPT0,280
Écart entre enseignants0,258 · 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.

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
Publié2003
Routes d'admission1
Résumé présentoui

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Même revueJournal of Experimental Biology→Même sujetPhysiological and biochemical adaptations→Travaux en français237 207→