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Enregistrement W4386795919 · doi:10.1002/dvg.23548

Diversity and distribution of ascidians

2023· letter· en· W4386795919 sur OpenAlexaboutno aff
Lauren M. Stefaniak

Notice bibliographique

Revuegenesis · 2023
Typeletter
Langueen
DomaineEnvironmental Science
ThématiqueMarine Ecology and Invasive Species
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMolecular taxonomyBiodiversityBiogeographyEcologyTaxonomy (biology)BiologyPhylogenetics

Résumé

récupéré en direct d'OpenAlex

My research focuses on the biodiversity and biogeography of ascidians, the mechanisms controlling the distribution of species and communities, and how human activities, such as shipping, coastal hardening, and climate changes can alter those distributions. Working with my masters and undergraduate student researchers, I use morphological and molecular taxonomy (Nydam et al., 2022; Reinhardt et al., 2010; Stefaniak et al., 2009), molecular ecology (Stefaniak et al., 2012), and observational and manipulative field and lab studies (Stefaniak, 2017; Stefaniak & Heupel, 2016; Stefaniak & Whitlatch, 2014) to explore these questions. While I always knew I wanted to be a marine biologist, my entry into the world of ascidian biology is best described as a series of serendipitous events. It started in 2005 when I joined Dr. Robert Whitlatch's lab at the University of Connecticut as a PhD student. Bob was working on introduced species in fouling communities, which means lots of ascidians. The newest ascidian was Didemnum vexillum, though that name was still uncertain at the time. Then, the following summer, I was fortunate enough to attend the first ascidian taxonomy workshop at the Smithsonian Tropical Research Institute in Bocas del Toro, Panama, taught by Gretchen Lambert, Dr. Rosana Rocha, and Dr. Charles Lambert, where I learned that I enjoy the puzzle of identifying ascidians I have never seen before. Attending the course led to Gretchen offering me her D. vexillum samples from around the world if I would do the molecular taxonomy, and to Gretchen and Charlie giving me an introduction to Dr. Hitoshi Sawada. Dr. Sawada would become my host at the Sugashima Marine Biological Laboratory (Nagoya University) for a summer of collecting D. vexillum around Japan and several summers teaching in an advanced marine biology course at Sugashima MBL. Combined with my training as a field marine biologist during my undergraduate research at Cornell University (advisor: Dr. Myra Shulman) and my time working in and managing a molecular evolution lab at the University of Iowa (Dr. John M. Logsdon, Jr.) after college, I was now very well positioned to tackle both the biology and molecular ecology of D. vexillum. In my PhD I was able to help determine that all these “new” didemnids were D. vexillum (Stefaniak et al., 2009), to identify the northeast Pacific Ocean as the likely native range (Figure 1, Stefaniak et al., 2012), and to characterize the life history of the species (Stefaniak, 2017; Stefaniak & Whitlatch, 2014). Joining Dr. Daniel Gleason (Georgia Southern University) in his work monitoring the benthic habitat community in the Gray's Reef National Marine Sanctuary (GRNMS) brought me to the southeast US Atlantic coast where I am now based, an area particularly conducive to studying the effects of human activities on ascidian distribution with its overlapping biogeographic faunas. Through my research and participation in bioblitzes and rapid assessment surveys, I have had the opportunity over the past 17 years to get to know the ascidian fauna of much of the US Atlantic coast as well as parts of the Pacific Northwest and Caribbean coasts. Currently, I am focused on three geographic areas: the coasts, reefs, and mangrove cays of Belize (with Drs. Susanna López-Legentil, Marie Nydam, and Patrick Erwin); GRNMS and other continental shelf areas in the southeast US (with Dr. D. Gleason); and natural and artificial habitats along the southeast US Atlantic coast (Figure 2). Past funding sources and support have included the National Science Foundation's East Asia and Pacific Summer Institute, the Japan Society for the Promotion of Science, Connecticut SeaGrant, Gray's Reef National Marine Sanctuary, the Quebec-Labrador Foundation, University of Connecticut (Department of Marine Science), Georgia Southern University (Institute for Coastal Plain Science), and the Long Island Sound Mapping Initiative. Current funding includes the National Science Foundation and Coastal Carolina University.

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)0,000
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: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,384
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
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 ouverte0,0000,002
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,018
Tête enseignante GPT0,190
Écart entre enseignants0,172 · 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'étudeSans objet
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
Publié2023
Routes d'admission1
Résumé présentoui

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