MétaCan
Menu
Retour à la cohorte
Enregistrement W4386799538 · doi:10.1093/ornithapp/duad042

2023 AOS Harry R. Painton Award to Natália Stefanini Da Silveira and Honorable Mentions to Rachael W. Herman and Sarah P. Saunders

2023· article· en· W4386799538 sur OpenAlexaffabout
Sara J. Oyler‐McCance, Brooke L. Bateman, Nathan W. Cooper, Kevin C. Fraser, Elizabeth A. MacDougall‐Shackleton, Christopher G. Guglielmo, José Maria Cardoso da Silva, Adrianne G. Tossas, Casey Youngflesh

Notice bibliographique

RevueOrnithological applications · 2023
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueAvian ecology and behavior
Établissements canadiensWestern UniversityUniversity of Manitoba
Organismes subventionnairesnon disponible
Mots-clésLibrary scienceArt historyEnvironmental ethicsHistoryHumanitiesArtPhilosophy

Résumé

récupéré en direct d'OpenAlex

Natália Stefanini Da Silveira Rachael W. Herman Sarah P. Saunders The AOS Harry R. Painton Award, given in odd-numbered years, is presented to the author of an outstanding paper published in the two preceding years in Ornithological Applications. The award was established in 1961 through a bequest from physician and eminent amateur ornithologist Harry Painton; a history of the Painton Award, including winners from 1961 to 1993, was published in The Condor in 1994. The 2023 Harry R. Painton Award recipient is Natália Stefanini Da Silveira for her paper “Future climate change will impact the size and location of breeding and wintering areas of migratory thrushes in South America” (Da Silveira et al. 2021). Natália Stefanini Da Silveira has a degree in biological sciences from the State University of São Paulo (UNESP), and a master’s degree and doctorate from the postgraduate program in zoology, Institute of Biosciences, UNESP, Rio Claro. In her postgraduate studies, she examined animal movement at different scales—focusing on birds—from regional movements to migrations and the impact of environmental changes on these systems. She is currently a postdoctoral candidate at the Spatial Ecology and Conservation Lab (LEEC; UNESP-RC), and works in partnership with Tropical Water Research Alliance (TWRA) on a project for sustainable development and biodiversity conservation in the Tocantins–Araguaia Hydrographic Basin. In their winning paper, “Future climate change will impact the size and location of breeding and wintering areas of migratory thrushes in South America,” Da Silveira and her coauthors examined the potential impact of future climate change on migratory thrushes in South America—a region rich in migrating birds whose movement patterns are not well understood. The authors explored how the distribution of breeding and wintering areas in three closely related species of thrushes with different migratory patterns (one short- and two long-distance migrants) change under future climate change scenarios. They predicted declines in the area of future breeding and wintering grounds along with elevational and longitudinal shifts in distribution. Their paper is the first of its kind to describe how climate change may affect migratory birds in South America, showing that impacts will differ depending on where species breed and overwinter. Da Silveira, N. S., M. H. Vancine, A. E Jahn, M. A. Pizo, and T. Sobral-Souza (2021). Future climate change will ­impact the size and location of breeding and wintering areas of migratory thrushes in South America, Ornithological Applications 123:duab006. https://doi.org/10.1093/ornithapp/duab006 This year, the AOS additionally recognizes two individuals for honorable mention: Rachael W. Herman for her paper “Age-structured model reveals prolonged immigration is key for colony establishment in Gentoo Penguins” (Herman and Lynch 2022) and Sarah Saunders for her paper “Bridging the research-implementation gap in avian conservation with translational ecology” (Saunders et al. 2021). Rachael W. Herman is a Ph.D. candidate and NASA FINESST fellow in Heather Lynch’s lab in the Department of Ecology and Evolution at Stony Brook University. Her dissertation work focuses on population dynamics of Gentoo Penguins (Pygoscelis papua). Using a combination of remote-sensing assets, population modeling, and population genomics, she is investigating how Gentoo Penguins are both increasing in population numbers and expanding their range farther south along the Antarctic Peninsula, and what environmental factors are facilitating these dramatic changes. Herman has previously been awarded two AOS travel awards to present her research at the American Ornithological Society conferences in 2016 and 2022. Herman, R. W., and H. J. Lynch (2022). Age-structured model reveals prolonged immigration is key for colony establishment in Gentoo Penguins. Ornithological Applications 124:duac014. https://doi.org/10.1093/ornithapp/duac014 Sarah Saunders is a senior manager of quantitative science at the National Audubon Society and is based out of her home office in Grand Rapids, Michigan. Her work predominantly focuses on the Great Lakes region, where she models occupancy, abundance, and population dynamics of breeding marsh birds, waterbirds, and shorebirds. She also works with Audubon’s Climate Watch program data to model how species’ occupancy dynamics are shifting with climate change. Saunders specializes in integrated modeling, including combining different migration data types to estimate migratory connectivity for North American bird species. She has served as a judge for the AOS student presentation awards and now serves on the Student and Postdoc Travel and Presentation Awards Committee. Saunders served as an associate editor for Ornithological Applications from 2020 to 2023. She was elected as an AOS Elective Member in 2022. Saunders, S. P., J. X. Wu, E. A. Gow, E. Adams, B. L. Bateman, T. Bayard, S. Beilke, A. A. Dayer, A. M. V. Fournier, K. Fox, P. Heglund, S. B. Lerman, N. L. Michel, E. H. Paxton, Ç. H. Şekercioğlu, M. A. Smith, W. Thogmartin, M. S. Woodrey, and C. van Riper, III (2021). Bridging the research-implementation gap in avian conservation with translational ecology. Ornithological Applications 123:duab018, https://doi.org/10.1093/ornithapp/duab018

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut 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: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,752
Score d'incertitude au seuil0,354

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,010
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0020,001
Communication savante0,0060,005
Science ouverte0,0010,005
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,7520,685

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 Opus0,026
Tête enseignante GPT0,286
Écart entre enseignants0,260 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

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'admission2
Résumé présentoui

Explorer davantage

Même revueOrnithological applicationsMême sujetAvian ecology and behaviorTravaux en français237 207