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Record W7017697144

Black Scoter (<i>Melanitta americana</i>) Winter Habitat Use and Movement Patterns Along the Atlantic Coast of the United States

2018· article· en· W7017697144 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTigerPrints (Clemson University) · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsHabitatShoreEiderDistribution (mathematics)Historical ecologyBlack sea
DOInot available

Abstract

fetched live from OpenAlex

While the Atlantic coast of the United States and Canada is a major wintering area for sea ducks, habitat use and movement patterns of sea ducks, such as the black scoter (Melanitta americana), are vastly unknown and understudied. The lack of information in conjunction with a rise in human activity in and near the Atlantic Ocean has led to an increased effort for the conservation and management of sea ducks, while minimizing human conflicts. The objectives of my study were to 1) identify variables that had the most influence on black scoter distribution in the Atlantic Ocean along the southeastern coast of the United States and 2) investigate the winter movement patterns of black scoters in the Atlantic Ocean by quantifying the number of wintering sites, arrival and departure dates to and from the wintering grounds, days at a wintering site, area of a wintering site, distance between wintering site, and test if winter movement patterns varied by sex or geography. To identify the variables that were the most influential on black scoter distribution along the southeastern coast of the United States, I used aerial survey data from 2009 to 2012 provided by the United States Fish and Wildlife Service. I ran a Least Absolute Shrinkage and Selection Operator (LASSO) with broad and fine scale oceanographic and weather variables. The oceanographic variables of bathymetry, ocean floor slope, and distance to shore were found to have the greatest association with the distribution of black scoter. Additionally, my results suggest that oceanographic variables have a stronger relationship with black scoter distribution than weather variables. To quantify winter movement patterns of black scoters, I used satellite telemetry data from 2009 to 2012 that was provided by the Sea Duck Joint Venture. I used Mann-Whitney U-tests to quantify the differentiation between sex and geography. While there was no difference between sexes, average wintering site area and distance between wintering sites differed by geographic region. Southern wintering sites were larger and farther apart than northern wintering sites. These results suggest that black scoter habitat use and movement patterns vary regionally. My results enable managers to focus sampling effort for black scoter abundance and distribution along the Atlantic coast. Habitat characteristics for black scoters identified in my study area should be carefully considered when planning anthropogenic activities along the southeast coast of the United States, such as offshore energy development.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.196
Teacher spread0.183 · 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