Threat-sensitive learning of predator odours by a prey fish
Notice bibliographique
Résumé
[Many prey animals have a remarkable ability to match the intensity of their behavioural responses to the degree of threat posed by specific predators. However, little is known about how such threat-sensitive predator avoidance develops. In a series of laboratory experiments we tested whether goldfish (Carassius auratus) could learn to recognize predator odours in a threat-sensitive manner. We exposed predator-naive goldfish to various concentrations of chemical cues of pike (Esox lucius) fed goldfish and pike fed another fish diet (swordtails,Xiphophorus helleri). During the conditioning trials goldfish showed behavioural responses to pike fed goldfish but not to pike fed swordtails. Moreover, the intensity of the responses to pike cues increased as the concentration of pike cues increased. Subsequent test trials showed that goldfish that had originally been exposed to pike fed goldfish showed responses to pike fed swordtails, indicating learned recognition of the pike as a predator. Of particular importance, the intensity of the learned responses by the goldfish matched the intensity of the responses observed in the original conditioning trials, thereby demonstrating threat-sensitive learning. Prey should have a selective advantage if they are able to adjust the intensity of their anti-predator response to match the threat posed by their predators. Our preliminary investigations revealed that this threat-sensitive learning has important survival implications during encounters with pike., Many prey animals have a remarkable ability to match the intensity of their behavioural responses to the degree of threat posed by specific predators. However, little is known about how such threat-sensitive predator avoidance develops. In a series of laboratory experiments we tested whether goldfish (Carassius auratus) could learn to recognize predator odours in a threat-sensitive manner. We exposed predator-naive goldfish to various concentrations of chemical cues of pike (Esox lucius) fed goldfish and pike fed another fish diet (swordtails,Xiphophorus helleri). During the conditioning trials goldfish showed behavioural responses to pike fed goldfish but not to pike fed swordtails. Moreover, the intensity of the responses to pike cues increased as the concentration of pike cues increased. Subsequent test trials showed that goldfish that had originally been exposed to pike fed goldfish showed responses to pike fed swordtails, indicating learned recognition of the pike as a predator. Of particular importance, the intensity of the learned responses by the goldfish matched the intensity of the responses observed in the original conditioning trials, thereby demonstrating threat-sensitive learning. Prey should have a selective advantage if they are able to adjust the intensity of their anti-predator response to match the threat posed by their predators. Our preliminary investigations revealed that this threat-sensitive learning has important survival implications during encounters with pike.]
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 | 0,000 |
| 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 | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».