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Record W2125635054 · doi:10.3354/meps09832

Reducing error in reproductive timing caused by temperature variation: interspecific differences in behavioural adjustment by fiddler crabs

2012· article· en· W2125635054 on OpenAlexafffundabout
Kecia A. Kerr, JH Christy, Rachel Collin, Frédéric Guichard

Bibliographic record

VenueMarine Ecology Progress Series · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaSmithsonian Tropical Research InstituteSmithsonian Institution
KeywordsBiologyInterspecific competitionEcologyPredationZoology

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 459:1-16 (2012) - DOI: https://doi.org/10.3354/meps09832 FEATURE ARTICLE Reducing error in reproductive timing caused by temperature variation: interspecific differences in behavioural adjustment by fiddler crabs K. A. Kerr1,2,3,*, J. H. Christy2, R. Collin2,3, F. Guichard1,3 1McGill University, Department of Biology, Montréal, Québec H3A 1B1, Canada 2Smithsonian Tropical Research Institute, Apartado Postal 0843-03092, Balboa, Ancon, Panama, Panama 3McGill-STRI Neotropical Environment Option (NEO), McGill University, Faculty of Science, Montréal, Québec H3A 2T6, Canada *Email: kecia.kerr@mail.mcgill.ca ABSTRACT: Many organisms time reproduction with physical and biological cycles that affect offspring survival. In the marine environment, a common pattern is the release of planktonic larvae during large-amplitude nocturnal tides, which may reduce losses due to predation. However, if the duration of embryonic development depends on temperature, changes in temperature can lead to errors in timing. Organisms may reduce such errors either by changing the timing of onset of incubation or by selecting the temperatures to which embryos are exposed. We conducted field and laboratory experiments with 2 species of fiddler crabs to examine the effects of temperature and temperature variation on the timing of larval release and synchrony of release among females. As expected, the duration of incubation increased with decreasing temperature in both species. In the field when temperature was low, Uca terpsichores released larvae earlier than expected, indicating that shifts in timing of mating reduced potential errors in timing of release. However, when temperature changed during incubation, accuracy and precision in the timing of release decreased. U. deichmanni maintained timing and synchrony of release despite variable temperature in the field, but in cold water in the laboratory, they incubated eggs longer than in the field and released larvae late. These differences suggest that U. deichmanni regulates the incubation period in the field. U. terpsichores may be less able than U. deichmanni to adjust to rapid variation in temperature that may accompany climate change, which could result in large-scale interspecific differences in larval survival and recruitment. KEY WORDS: Larval release · Timing of reproduction · Variable environment · Upwelling · Timing strategies · Tidal rhythms · Uca terpsichores · Uca deichmanni Full text in pdf format Information about this Feature Article Supplementary material NextCite this article as: Kerr KA, Christy JH, Collin R, Guichard F (2012) Reducing error in reproductive timing caused by temperature variation: interspecific differences in behavioural adjustment by fiddler crabs. Mar Ecol Prog Ser 459:1-16. https://doi.org/10.3354/meps09832 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 459. Online publication date: July 12, 2012 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2012 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 categoriesInsufficient 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 score0.008
Threshold uncertainty score0.997

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.242
Teacher spread0.221 · 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

Citations24
Published2012
Admission routes3
Has abstractyes

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