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Record W4386795919 · doi:10.1002/dvg.23548

Diversity and distribution of ascidians

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

Bibliographic record

Venuegenesis · 2023
Typeletter
Languageen
FieldEnvironmental Science
TopicMarine Ecology and Invasive Species
Canadian institutionsnot available
Fundersnot available
KeywordsMolecular taxonomyBiodiversityBiogeographyEcologyTaxonomy (biology)BiologyPhylogenetics

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.384
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.190
Teacher spread0.172 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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