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Enregistrement W7079460743 · doi:10.26108/g1b3-4x07

Resource partitioning and repeatability in foraging behaviours among four auks nesting in sympatry in a sub-Arctic ecosystem

2016· article· en· W7079460743 sur OpenAlexaboutno aff

Notice bibliographique

RevueAcadiaU-DEV · 2016
Typearticle
Langueen
DomaineComputer Science
ThématiqueGeochemistry and Geologic Mapping
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSeabirdForagingInterspecific competitionUria aalgeTrophic levelPredationPelagic zoneNiche segregationSympatry

Résumé

récupéré en direct d'OpenAlex

CHAPTER 2: Abstract. Auks, a group of diving seabirds, share ecological similarities, and are often found in sympatrically-nesting assemblages at suitable nesting sites. Despite these similarities, it is expected that co-existing species have evolved strategies that reduce niche overlap in response to resource competition. The presence of Atlantic puffins (Fratercula arctica), razorbills (Alca torda), thick-billed (Uria lomvia) and common murres (Uria aalge) at the Gannet Islands, Labrador, is an opportunity to study interspecific interactions among the four main and similar species of a seabird assemblage. I compared the foraging movement of adult birds, and chick and adult diet inferred from stable isotopes, as dimensions in the foraging niche among these four auks. My results revealed that puffins and thick-billed murres headed offshore to forage, while razorbills and common murres were more coastal heading towards mainland Labrador. The patterns of spatial segregation found among the coastal and the pelagic birds were mirrored by their stable isotope ratios, with a group of species foraging on a higher trophic level of an inshore food web, and the other foraging on a lower trophic level of an offshore and pelagic food web. The 'pelagic' species segregated on prey choice for the chick while differential alternate prey selection was the source of segregation between the 'coastal' species. My 17 findings are more evidence that segregation, in at least one or more dimensions of the foraging niche, is a key mechanism that potentially reduces interspecific competition among co-existing and closely related seabirds, explaining the persistence of such seabird assemblages through time. Chapter 3: Abstract. In animal populations, there are individuals that are highly consistent while others are highly flexible in their behavioural strategy. Since seabirds forage in an environment regulated by bottom-up mechanisms, their foraging behaviour is expected to be more plastic in response to changing environmental conditions that might affect the distribution of their preferred prey. I was interested in looking at how short-term individual consistency in different foraging behaviours varies across species of an important seabird assemblage nesting in sympatry: Atlantic puffins (Fratercula arctica), razorbills (Alca torda), common murres (Uria aalge) and thick-billed murres (Uria lomvia). I looked at the repeatability in foraging effort (maximum distance and duration) as well as in foraging locations of individual foraging trips to assess the various levels of individual consistency for those given behaviours. Observed individual repeatability for all behaviours varied considerably by species. Puffins proved to be highly flexible, contrasting with razorbills that were highly consistent, while a range of individual consistencies were revealed in thick-billed murres and to a lesser extent in common murres. These interspecific differences were likely promoted by differences in specific optimal prey availability and perhaps were reflecting individual strategies such as specialization for particular prey items. Because there is a need to better understand 57 individual foraging decisions and how consistency in behaviour influences or is influenced by an individual's intrinsic characteristics, I related individual consistency with individual physiological and body condition in thick-billed murres. I found strong correlations both positive and negative between individual-level repeatability indices and individual intrinsic components suggesting that individual consistency in foraging effort and flexibility in foraging location are intrinsically linked to individual capacities and constraints.

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)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,009
Score d'incertitude au seuil0,596

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
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 savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,015
Tête enseignante GPT0,213
Écart entre enseignants0,198 · 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 tête enseignante, 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
Publié2016
Routes d'admission1
Résumé présentoui

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