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Record W2936135609 · doi:10.3354/meps12965

Year-round tracking reveals multiple migratory tactics in a sentinel North Pacific seabird, Cassin’s auklet

2019· article· en· W2936135609 on OpenAlexaboutno aff
Katharine R. Studholme, JM Hipfner, AD Domalik, Sara J. Iverson, Glenn T. Crossin

Bibliographic record

VenueMarine Ecology Progress Series · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsSeabirdGeographyContext (archaeology)PopulationNova scotiaEcologyWildlifeAlbatrossOceanographyBiologyArchaeologyDemographyPredationGeologySociology

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 619:169-185 (2019) - DOI: https://doi.org/10.3354/meps12965 Year-round tracking reveals multiple migratory tactics in a sentinel North Pacific seabird, Cassin’s auklet Katharine R. Studholme1,*, J. Mark Hipfner2, Alice D. Domalik3, Sara J. Iverson1, Glenn T. Crossin1 1Department of Biology, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada 2Environment and Climate Change Canada, Wildlife Research Division, Delta, British Columbia V4K 3N2, Canada 3Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada *Corresponding author: krstudholme@dal.ca ABSTRACT: Nonbreeding distributions and migratory phenology can vary within and among populations of many taxa, including seabirds. Such differences can drive variation in survival and reproduction. Knowledge of where, when, and why individuals move is therefore crucial to understanding and predicting population-level processes, particularly in the context of oceanographic change. Here we present the first year-round tracking data for Cassin’s auklet Ptychoramphus aleuticus, a small, zooplanktivorous North Pacific seabird, revealing the nonbreeding behavior of birds from colonies in British Columbia, Canada, across 3 years of variable oceanographic conditions. These birds moved both north (summer, fall) and south (fall, winter) from the colony, using 1 of 4 migratory tactics: North, South, North-South, or Local. Distributions ranged from the Aleutian Islands to Baja California, to maximum distances of 2757 and 3110 km, respectively. Within tactics there was additional spatiotemporal variation among individuals, resulting in diverse nonbreeding experiences. Some variability was explained by year and sex. Cassin’s auklets appear to target distinct, ecologically differentiated areas within their nonbreeding range which may have good quality habitat. Variation in these target regions across years suggests somewhat flexible migratory behavior; however, consistent migration to the Southern California Bight despite very low productivity in one study year suggests that fixed tactics may exist. This work contributes to our understanding of predator movement in the North Pacific and highlights the importance of individual-level spatial data for studies of carryover effects and conservation planning. KEY WORDS: Ptychoramphus aleuticus · Nonbreeding distribution · Migratory strategy · Partial migration · Individual variability · Geolocator · Alcidae · Marine heatwave · ‘The Blob’ · Mortality event Full text in pdf format Supplementary material PreviousNextCite this article as: Studholme KR, Hipfner JM, Domalik AD, Iverson SJ, Crossin GT (2019) Year-round tracking reveals multiple migratory tactics in a sentinel North Pacific seabird, Cassin’s auklet. Mar Ecol Prog Ser 619:169-185. https://doi.org/10.3354/meps12965 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 619. Online publication date: June 04, 2019 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2019 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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.999

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)0.0030.001

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 head0.011
GPT teacher head0.229
Teacher spread0.218 · 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; both teacher heads agree on what is shown here.

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

Citations16
Published2019
Admission routes1
Has abstractyes

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