MétaCan
Menu
Back to cohort
Record W2473520970 · doi:10.3354/meps11779

Biogeographic, ontogenetic, and environmental variability in larval behaviour of American lobster Homarus americanus

2016· article· en· W2473520970 on OpenAlexaboutno aff
RRE Stanley, EJ Pedersen, PVR Snelgrove

Bibliographic record

VenueMarine Ecology Progress Series · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsHomarusAmerican lobsterOntogenyLarvaBiologyDiel vertical migrationNova scotiaEcologyOceanographyCrustaceanGeology

Abstract

fetched live from OpenAlex

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 553:125-146 (2016) - DOI: https://doi.org/10.3354/meps11779 Biogeographic, ontogenetic, and environmental variability in larval behaviour of American lobster Homarus americanus R. R. E. Stanley1,3,*, E. J. Pedersen2, P. V. R. Snelgrove1 1Ocean Sciences Center and Biology Department, Memorial University of Newfoundland, St. John's, PO Box 4200, Newfoundland A1C 5S7, Canada 2Biology Department, W3/1 Stewart Biology Building, McGill University, Montreal, Québec H3A 1B1, Canada 3Present address: Bedford Institute of Oceanography, Dartmouth, Nova Scotia B2Y 4A2, Canada *Corresponding author: rstanley@mun.ca ABSTRACT: Through laboratory observations we evaluated the influence of natal origin, ontogeny, and environment (light, temperature) on the vertical and horizontal swimming behaviour of larval American lobster Homarus americanus. We quantified several behavioural indices including vertical water position, average swim speed, and linearity, and measured how these factors interacted to determine horizontal diffusivity. Larval swimming behaviour varied significantly for all behavioural indices as a function of natal origin, ontogeny, temperature, and light. Across treatments, post-larvae exhibited fastest swim speeds (5.96 cm s-1), horizontal diffusivities (9.97 cm2 s-1), and highest position in the water column compared to earlier stages. We observed significantly lower (~60%) swimming speed and vertical position in intermediate developmental stages compared to early and late stages. Within stage I larvae, swim speed averaged 2.1 cm s-1 with a horizontal diffusivity of 3.31 cm2 s-1, and although swim speed did not vary with maternal origin we observed a significant interaction between origin and temperature. Larvae from different geographic regions, reared in common garden conditions, differed in behavioural response to temperature; warm origin larvae swam significantly faster (~25%) in warm water, as did cold origin larvae in cold water (~43% faster), relative to each other. Our results detail potential novel sources of variability in larval behaviour and provide one of few direct measures of swimming behaviour of larval American lobster. Collectively, our results provide a biological-behavioural context to parameterize biophysical models with broad applicability to meroplanktonic species, and a powerful tool to potentially improve accuracy of dispersal models and advance understanding of larval transport. KEY WORDS: Larvae · Behaviour · Swimming · Light · Temperature · Biogeography · Diffusion · American lobster Full text in pdf format PreviousNextCite this article as: Stanley RRE, Pedersen EJ, Snelgrove PVR (2016) Biogeographic, ontogenetic, and environmental variability in larval behaviour of American lobster Homarus americanus. Mar Ecol Prog Ser 553:125-146. https://doi.org/10.3354/meps11779 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 553. Online publication date: July 14, 2016 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2016 Inter-Research.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.998

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 studies0.0000.006
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.004
GPT teacher head0.198
Teacher spread0.194 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations14
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueMarine Ecology Progress SeriesSame topicCrustacean biology and ecologyFrench-language works237,207