Modeling the migration of the American eel in the Gulf of St. Lawrence
Bibliographic record
Abstract
MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 549:183-198 (2016) - DOI: https://doi.org/10.3354/meps11706 Modeling the migration of the American eel in the Gulf of St. Lawrence Mélanie Béguer-Pon1,2,*, Kyoko Ohashi2, Jinyu Sheng2, Martin Castonguay3, Julian J. Dodson1 1Département de Biologie, Université Laval, Québec City, Québec G1V 0A6, Canada 2Department of Oceanography, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada 3Institut Maurice-Lamontagne/Fisheries and Oceans Canada, CP 1000, Mont-Joli, Québec G5H 3Z4, Canada *Corresponding author: melanie.beguer@gmail.com ABSTRACT: Telemetry experiments allow documentation of aquatic animal movements in the ocean, and numerical models can contribute to our understanding of the mechanisms underlying the observed movement patterns. In this study, we used mature (silver-stage) American eel Anguilla rostrata migration out of the St. Lawrence Estuary (SLE)-Gulf of St. Lawrence (GSL) system to illustrate how an individual-based model coupled with a 3-dimensional ocean circulation model can help us understand fish behaviour, and complement ongoing and future telemetry experiments. A suite of 23 numerical simulations that combined various vertical and horizontal swimming behaviours of virtual eels (‘v-eels’) was conducted to evaluate which behaviours most closely matched the observed migratory patterns of silver eels in the GSL. Results indicated that v-eels migrating through the SLE-GSL must employ active swimming and complex orientation strategies in order to migrate in the time suggested by telemetry experiments. The use of selective tidal stream transport is sufficient for v-eels to escape entrapment in the Estuary; however, this behaviour requires active swimming rather than simply drifting in the direction of the appropriate currents in the Estuary in order to eventually exit the GSL within the time frame observed in the field. Orientation towards higher salinity and/or greater water depths in the Gulf was not sufficient for v-eels to successfully escape the GSL, suggesting the use of other variables such as the geomagnetic field gradient is required. The model also allows exploration of the potential effects of climate change on the duration of migration, through changes in hydrological conditions. KEY WORDS: Orientation cues · Telemetry · Particle-tracking · Spawning migration · Ocean Tracking Network · Ocean circulation model · Anguilla rostrata Full text in pdf format PreviousNextCite this article as: Béguer-Pon M, Ohashi K, Sheng J, Castonguay M, Dodson JJ (2016) Modeling the migration of the American eel in the Gulf of St. Lawrence. Mar Ecol Prog Ser 549:183-198. https://doi.org/10.3354/meps11706 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 549. Online publication date: May 10, 2016 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2016 Inter-Research.
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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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".