Coastal roots: the history of seagrass in Northern Ireland
Bibliographic record
Abstract
Abstract A considerable knowledge gap exists in relation to the presence and even existence of seagrass within Northern Ireland’s waters. Peer-reviewed publications on the historical ecology of seagrass are scarce and a collated timeline of references directly focusing on Northern Irish seagrasses does not exist. Recognising abiotic and biotic induced environmental change within key marine features such as seagrass is vital when attempting to measure the biodiversity and carbon sequestration services they provide. The research undertaken during this study identified three distinct periods within the archival records, which could be matched to the ecological history of seagrass in Northern Ireland. The first period (extensive and dense seagrass meadows from 1790 to 1880) was characterised by extensive seagrass meadows which were dense and healthy. The second period (degradation from 1880 to 1940) saw the beginnings of decline in seagrass from the 1790s, initially from anthropogenic influences and later from the seagrass wasting disease) and the final period (signs of recovery from 1940 to present day) showed small amounts of local regrowth of seagrass but at far reduced densities compared to the historical baseline described. These three defined periods all delivered varying degrees of anthropogenic stressors which determined the conservational health of seagrass in Northern Ireland. Seagrass habitats have become integral components in future-proofing the coastal marine environment against the effects of climate change and its associated impacts. Therefore, it is envisaged that the historical baseline that this manuscript provides will greatly benefit habitat managers in protecting, repairing, and restoring lost seagrass meadows.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".