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Record W7084126824 · doi:10.6084/m9.figshare.30000610

Impacts of grey seal (<i>Halichoerus grypus</i>) on the plant cover of coastal sand dune ecosystem

2025· other· en· W7084126824 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2025
Typeother
Languageen
FieldEngineering
TopicPhotonic Crystal and Fiber Optics
Canadian institutionsnot available
Fundersnot available
KeywordsEcosystemVegetation (pathology)Biomass (ecology)ProductivitySpecies richnessDisturbance (geology)Sand dune stabilizationNutrient

Abstract

fetched live from OpenAlex

Through their various activities, pinnipeds alter the dynamics of plant communities in coastal ecosystems. Thus, the use of coastal environments as winter breeding grounds by grey seals, in response to the disappearance of sea ice, represents a potential threat to the ecological integrity of terrestrial dune ecosystems bordering the Gulf of St. Lawrence in Eastern Canada. In this study, we characterize the impact of grey seals on the dune ecosystem of the Île-Brion ecological reserve by comparing vegetation cover (density and biomass) and the physicochemical properties of substrates and leaf tissues of <i>Calamagrostis breviligulata</i> between sites occupied by the seal colony and control sites. Our results indicate that the grey seal colony plays a role in the transfer of allochthonous nutrients from the marine environment to coastal dune ecosystems through the release of various organic residues. This increased nutrient availability enhances the productivity of <i>C. breviligulata</i>, as indicated by significantly higher density and aboveground biomass on the sites occupied by the colony. However, species richness does not seem to be affected by the presence of grey seals. Thus, the benefits of daily fertilization appear to outweigh the mechanical damage and soil compaction occurring during winter.

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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.663
Threshold uncertainty score0.947

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)0.0530.000

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 head0.015
GPT teacher head0.200
Teacher spread0.184 · 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
GenreDataset

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
Published2025
Admission routes1
Has abstractyes

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