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Enregistrement W2995577605 · doi:10.13140/rg.2.2.18471.27042

Using Satellite And Radio Telemetry To Examine Stopover And Migration Ecology Of The Whimbrel: 2009-2011 Report

2011· article· en· W2995577605 sur OpenAlexaboutno aff
F. M. Smith

Notice bibliographique

RevueW&M Publish (College of William & Mary) · 2011
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueMarine animal studies overview
Établissements canadiensnon disponible
Organismes subventionnairesU.S. Fish and Wildlife ServiceNational Oceanic and Atmospheric AdministrationU.S. Department of Commerce
Mots-clésTelemetrySatelliteEcologySatellite trackingRemote sensingGeographyEnvironmental scienceFisheryBiologyComputer scienceTelecommunicationsEngineering

Résumé

récupéré en direct d'OpenAlex

The whimbrel (Numenius phaeopus) is a large, Holarctic, highly migratory shorebird. The North American race (N.p. hudsonicus) includes two disjunct breeding populations, both of which winter primarily in Central and South America. The western population breeds in Alaska and the Northwest Territories of Canada (Engelmoer and Roselaar 1998). The eastern population breeds south and west of Hudson Bay in Manitoba and Ontario (Skeel and Mallory 1996, Jehl and Smith 1970). The prevailing idea was that the western population followed a Pacific Coast migration route between breeding and wintering areas in Panama and western South America, and that the Hudson Bay population followed an Atlantic Coast migration route to wintering grounds in Northeast South America (Andres et al. 2009, Skeel and Mallory 1996, Morrison and Ross 1989). Both populations are of high conservation concern due to population declines in recent decades (Bart et al. 2007, Morrison et al. 2006, Watts and Truitt in press). Investigations into the migration routes of whimbrels staging in Virginia have shown a previously unknown link between the eastern and western populations as they stop-over in Virginia (Watts et al. 2008). The primary objective of this project is to examine the stop-over and migration strategies of whimbrels, as they relate to the conservation of the species. A total of 12 9.5 gram PTT satellite transmitters were deployed during the 2009-2010 spring and fall migration seasons. Average weight for the whimbrels with transmitters was 568 ± 53SD grams, or approximately 150-200 grams over mean winter (lean) weight. A total of 67 digitally coded glue-on radio transmitters were attached to birds during these seasons. The cumulative data give us insight into stop-over times for whimbrels as they stage on the Eastern Shore of Virginia before migrating to both breeding and wintering grounds. Satellite and radio transmittered whimbrels departed the Eastern Shore in the spring season between 22 May and 3 June and in the fall season between 11 August and 20 September. Spring birds tend to leave during a short window (CCB/TNC spring whimbrel count unpublished data), whereas fall birds have a much bigger migration window as shown by the wide range of satellite and radio transmitter leave dates. Several unusual migration events were observed during the spring and fall seasons. Twenty flights averaging 2,595 km were documented during the spring seasons. These flights took an average of 81 hours to complete. Twenty-four flights averaging 2,603 km were documented during the fall seasons. These flights took an average of 91hours to complete. A total of 13 shorter flights on breeding grounds were also documented, with birds moving from initial locations in along the Hudson Bay coastline to interior breeding locations. The mean distance traveled on these flights was 435 km with the mean time in flight 44 hours. A total of 17 shorter flights on wintering grounds were documented, with birds moving from initial locations in the Greater and Lesser Antilles, Suriname, and Guyana into French Guiana, Suriname, and Brazil, the primary wintering grounds for the Atlantic population of whimbrels (Morrison and Ross 1989). The mean distance traveled on these flights was 548 km with the mean time in flight 52 hours.

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)0,001
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 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 enseignants0,039
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
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 ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,030
Tête enseignante GPT0,226
Écart entre enseignants0,196 · 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.

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

Citations2
Publié2011
Routes d'admission1
Résumé présentoui

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