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Enregistrement W4388043645 · doi:10.1242/jeb.245031

Go east (or south), hot limpet!

2023· article· en· W4388043645 sur OpenAlexaff
Brittney G. Borowiec

Notice bibliographique

RevueJournal of Experimental Biology · 2023
Typearticle
Langueen
DomaineEarth and Planetary Sciences
ThématiqueMarine and environmental studies
Établissements canadiensUniversity of Waterloo
Organismes subventionnairesnon disponible
Mots-clésLimpetIntertidal zoneGastropodaEcologySouthern HemisphereMuricidaeHabitatGeographyGeologyFisheryBiology

Résumé

récupéré en direct d'OpenAlex

The rocky intertidal zone isn't exactly prime real estate. As temperatures can jump by 30oC or more within hours or metres, animals rely on all sorts of tricks to escape serious harm. Some, like barnacles, hunker down and hope for the best as the mercury rises. Limpets, a form of sea snail, do something different: they move. Spencer Virgin and David Schiel from the University of Canterbury, New Zealand, hypothesised that limpets’ mobility contributed to their success in the intertidal zone. They have recently published, in Functional Ecology, their new discovery that limpets move and reorient towards mild microhabitats, avoiding the worst that their rocky habitat has to offer.Virgin visited the Kaikōura coast of New Zealand, a choice location for the endemic denticulate limpet (Cellana denticulate). He left some limpets as he found them and reoriented others by rotating the boulders to which they were attached by 180 deg; the limpets were now facing in the opposite direction to the prevailing sun. Over the next year, he returned every few weeks to observe where the limpets were located, including noting the temperature and slope of the rock that they clung to and what direction they faced. He also estimated how much food was available for the limpets from the amount of chlorophyll α, a key ingredient of the limpet delicacy of algal biofilms, which they scrape off rocks.The hottest months were November to February, as expected in the southern hemisphere, but exactly how hot each boulder was depended on its orientation: flat, north- or west-facing surfaces, which received the most direct sunlight, were warmer than steep, south- or east-facing surfaces. However, the chlorophyll α levels followed the opposite trend, peaking in the winter and on south- and east-facing surfaces. Both temperature and the amount of food available influenced where the limpets lived. As the days grew hotter, the limpets gravitated towards cool, algae-rich areas, such as steep slopes facing south or east and the individuals that had been put into unfavourable positions when their boulders were flipped moved more over the year, indicating that limpets actively sought locations that minimized the risk of overheating.The intertidal zone is also challenging for electronics, and the strong waves foiled the duo's plans to monitor limpet heart rates over the year. However, Virgin and Schiel did eek out 3 days of data from an alternative, more sheltered field site. There, they found that the sunnier north-facing limpets had the highest heart rates and shadier south-facing limpets had the lowest (east- and west-facing limpets fell in the middle), confirming that limpets’ seasonal migrations had real physiological consequences. However, the heart rate differences only emerged on extra hot and sunny days, hinting that orientation mattered most during the height of the summer.Unsatisfied with their field heart rate data, the researchers brought limpets into the lab, stuck them under a heat lamp and monitored their heart rates. As expected for a snail, heart rate initially rose in step with temperature, as the limpets successfully accommodated higher metabolic rates caused by warming. However, the increase in heart rate started lagging behind the increase in temperature at around 35°C, an early sign of trouble, and the animals’ heart rates stopped increasing entirely around 37°C, indicating that the limpets had hit the highest temperature at which they could live. Reviewing their field observations, Virgin and Schiel realized that the wild limpets came perilously close to the highest temperature they could survive multiple times during the summer and that the refuge provided by hiding out on steep slopes out of the sun could make all the difference for survival.Though their brains are just a few nerve cells, denticulate limpets in New Zealand know exactly what they want in a home: a southerly or easterly seaside view, on a steep slope carpeted in algae – and they'll search high and low for it, albeit at a snail's pace.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,130
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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 Opus0,034
Tête enseignante GPT0,255
Écart entre enseignants0,220 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

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
Publié2023
Routes d'admission1
Résumé présentoui

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