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Record W2327981701 · doi:10.3318/bioe.2016.1

Estimating the historical distribution, abundance and ecological contribution of <em>Modiolus modiolus</em> in Strangford Lough, Northern Ireland

2016· article· en· W2327981701 on OpenAlexfundno aff
James Strong, M. W. Service, Moore

Bibliographic record

VenueBiology & Environment Proceedings of the Royal Irish Academy · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Bivalve and Aquaculture Studies
Canadian institutionsnot available
FundersAgri-Food and Biosciences InstituteQueen's UniversityNatural Environment Research CouncilU.S. Department of EnergyNorthern Ireland Environment AgencySight Research UKQueen's University BelfastDepartment of Agriculture and Rural Development, Northern IrelandStrong
KeywordsAbundance (ecology)GeographyFisheryModiolus (cochlea)FishingPopulationHabitatEcologyOceanographyEnvironmental sciencePhysical geographyBiologyGeologyDemography

Abstract

fetched live from OpenAlex

Strangford Lough is a large sheltered marine inlet in Northern Ireland. It is also a designated Special Area of Conservation based partially on the presence of an extensive area of Modiolus modiolus (Linnaeus, 1758) biogenic reef. However, this feature is believed to have declined substantially over the last 40 years. The objective of the study was to estimate the size of this decline both in terms of extent and abundance. This study combined (i) new survey data (a dedicated multibeam echo-sounder survey of the Lough), (ii) a habitat suitability model for M. modiolus with (iii) historical diver surveys to estimate the extent and abundance before 1985 (before the suspected period of greatest decline), 2003 (during the introduction of a ban on mobile fishing gear in the Lough) and 2007 (the most recent diver survey available). Estimations indicate that the extent reduced from approximately 12.6km2 in 1986 to just 5.7km2 by 2007 and the abundance declined by 87% in the same period. The decline has implications both for the remaining population of M. modiolus and ecosystem functionality within the Lough, which are both discussed in detail.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.108
Threshold uncertainty score0.215

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.010
GPT teacher head0.221
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), 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

Citations10
Published2016
Admission routes1
Has abstractyes

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