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Record W2130130556 · doi:10.1002/jwmg.696

Habitat use and selection of black scoters in southern New England and siting of offshore wind energy facilities

2014· article· en· W2130130556 on OpenAlexaff
Pamela H. Loring, Peter W. C. Paton, Jason E. Osenkowski, Scott G. Gilliland, Jean‐Pierre L. Savard, Scott R. McWilliams

Bibliographic record

VenueJournal of Wildlife Management · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsEnvironment and Climate Change Canada
FundersU.S. Geological SurveyU.S. Fish and Wildlife ServiceRhode Island Department of Environmental ManagementUniversity of Rhode Island
KeywordsRange (aeronautics)HabitatPelagic zoneGeographyEnvironmental scienceSubmarine pipelineShoreOceanographyEcologyFisheryGeologyBiology

Abstract

fetched live from OpenAlex

ABSTRACT The southern New England continental shelf is an important region for black scoters ( Melanitta americana ) during winter and migratory staging periods and a priority area for developing offshore wind energy facilities. However, little is known about the migration phenology and habitat use of black scoters in this portion of their range and this information is necessary to assess potential risks to black scoters during the marine spatial planning process. In this regional black scoter study over 2 winters, we used satellite telemetry and spatial modeling techniques to estimate migratory timing and length of stay, quantify winter home range size and site fidelity between winters, examine key habitat characteristics associated with core‐use areas, and map relative probabilities of use across a 3,800‐km 2 marine spatial planning area for 2 proposed offshore renewable energy facilities. Black scoters spent nearly 5 months in southern New England, with wide variation among individuals in the size of winter utilization distributions (range 16–12,367 km 2 ). Approximately 50% of the tagged birds returned to southern New England during the subsequent winter and had variable fidelity to core‐use areas occupied the previous winter. During both winters, black scoter core‐use areas were located closer to shore, at shallower water depths, with coarser sediment grain size and higher probability of hard‐bottom occurrence relative to available areas. Resource selection functions classified the majority of a nearshore 5‐turbine, 34‐km 2 renewable energy zone off Block Island as high probability of use by black scoters, whereas an offshore 200‐turbine, 667‐km 2 federal lease block zone was classified as low to medium‐low probability of selection. Wind energy facilities, such as the Block Island site, constructed in relatively shallow (<20 m deep), nearshore habitats (<5 km) over hard‐bottomed or coarse‐sand substrate could displace some foraging black scoters wintering in this region, whereas the larger federal lease block zone located farther offshore is more likely to affect scoters dispersing among core‐use areas and during migration between wintering and breeding grounds. © 2014 The Wildlife Society.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.239

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.201
Teacher spread0.191 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations29
Published2014
Admission routes1
Has abstractyes

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