Mathematical model describing the population dynamics of Ciona intestinalis, a biofouling tunicate on mussel farms in Prince Edward Island, Canada
Bibliographic record
Abstract
A mathematical model was used to describe the population of the aquatic invasive species, Ciona intestinalis in the presence of cultured mussel production. A differential equation model was developed to represent the key life stages: egg, larva, recruit, juvenile and adult. Stage transition rates were calculated from time spent in a stage and transition probabilities. Because surface availability for the settlement phase is a key determinant of population growth, dead juvenile and dead adult stages were also modelled, together with their drop-off rates. This model incorporated temperature dependencies and an environmental carrying capacity. Model validation was carried out against field data collected from Georgetown Harbour, in 2008. Relative sensitivity indices were calculated to determine the most influential factors in the model. The results indicated that the modelled outputs were broadly in agreement with the observed data. Under baseline conditions the number of C. intestinalis increased from early September to late October, after which they reached a plateau at an abundance of approximately five individuals per cm 2 . Sensitivity analyses revealed that a reduction in spawning interval or the development time of larva accelerated C. intestinalis population growth. In contrast, decreasing either carrying capacity or the percentage drop-off of live juvenile and adult stages resulted in a decline in the population. This research provides the first detailed model describing population dynamics of C. intestinalis in mussel farms and will be valuable in exploring effective treatment strategies for this invasive species.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".