The distribution of Spartina anglica on estuarine mudflats in relation to wave-related hydrodynamic parameters.
Bibliographic record
Abstract
Spartina anglica is an invasive alien plant species whose spread threatens the biodiversity of Irish estuarine mudflats, sandflats and saltmarshes. Models have been developed to predict its distribution to facilitate population control and conservation management, but a more precise definition of the wave-related model parameters is required. This study investigates the distribution of established Spartina anglica in Strangford Lough, Northern Ireland, in relation to wave-related hydrodynamic parameters, generated using a numerical computer model for wave generation and propagation in shallow water.The distribution of S. anglica was statistically associated with shorter waves. Longer waves are indicative of deeper water, affect a larger and deeper volume of water and travel at faster speeds than shorter waves. They are, therefore, more likely to disrupt Lough sediment surfaces and uproot S. anglica seedlings, thus limiting establishment. Other simulated wave-related hydrodynamic parameters showed little variation between sites with and without S. anglica.Although input wave parameters were taken for storm conditions, the simulated wave parameters generated by the study did not pass recognised thresholds for initiating sediment transport. To further investigate the linkages between wave-related hydrodynamic parameters and S. anglica establishment, therefore, it may be necessary to re-assimilate the wave model using higher input waves (i.e. exceptional storm waves). This study forms a preliminary basis for understanding interactions between wave-related hydrodynamics and S. anglica establishment and for developing a predictive model of S. anglica distribution patterns.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".