Capture Times of Passerines on the South Shore of Lake Ontario During Spring Migration
Notice bibliographique
Résumé
Capture times of 6500 migrant passerines caught in mist nets at the Kaiser-Manitou Beach Banding Station at Braddock Bay, New York, on the south shore of Lake Ontario, during May 1993 to 1996, were analyzed.Results were compared with data from a similar study conducted by Prince Edward Point Bird Observatory at Point Traverse, Ontario, Canada, on the north shore of Lake Ontario.There were significant interspecies differences in capture times which have implications for researchers developing census protocols for migrants along the Lake Ontario shoreline.The mean capture time for 15 of 17 species caught at both sites was from 0.3 to 2.2 hours earlier at Braddock Bey.This phenomenon may be due to the effect of Lake Ontario, topographical or habitat differences, prevailing wind direction, or a combination of influences.Deslauriers and Francis (1991) summarized previous research on time-of-day effects on auditory and visual bird censuses.Before their study, little research had been done on mist net capture times.More recent papers by Jenni et al. (1996) and Pardiek and Waide (1992) studied efficiency of mist nets which could impact on capture times.Remsen and Good (1996) cautioned against misuse of mist net data to assess avian population status, especially when the sampling setup did not include aerial nets (neither Braddock Bay nor Traverse used aerial nets).Deslauriers and Francis (1991 ) analyzed mist net capture times of spring migrants at Prince Edward Point on the Canadian shore of Lake Ontario near Kingston during 1976 to 1980 and in 1988 and found behaviorally induced differences in mean capture times of many species.Jan.-Mar.In this paper, capture times of spring migrants at the Kaiser-Manitou Beach (K-MB) Banding Station at Braddock Bay during 1993 to 1996 are analyzed and compared with the results of the study conducted by Prince Edward Point Bird Observatory at Point Traverse.METHODS The K-MB Station is located within 150 m of the shoreline of Lake Ontario, 24 km NW of Rochester, New York (coordinates 431-0774).Habitat includes shrubby fields, wet deciduous woods, and hedgerows.A "constant-effort" mist-netting operation, with 20 to 25,12-m nylon top-tethered 1%" mesh nets, was run daily (weather permitting) during May from 1993 to 1996.A strict protocol was established so that nets, raised in a consistent manner, were set daily by sunrise and kept open for at least eight hours.Birds were removed from nets every half hour beginning at exactly 15 minutes after sunrise.They were brought back to a work area where they were banded, processed, and released.On busy days, birds were held in cages that were marked carefully as to the birds' time of capture.Although the time of processing was also recorded, it is only the capture time that was used in this study Capture time was not kept for birds handled later than the eighth hour after sunrise.As in the Prince Edward Point study, capture time was transformed into the nearest hour after sunrise to account for changing sunrise times throughout the month.Capture time data were used only from days where the full eight-hour protocol was employed.
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 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) | 0,001 | 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 ».