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Record W2109766838

THE INFLUENCE OF FISH BEHAVIOUR ON SEARCH STRATEGIES OF COMMON MURRES URIA AALGE IN THE NORTHWEST ATLANTIC

2003· article· en· W2109766838 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Federation of University Women
KeywordsCapelinUria aalgeSeabirdForagingPredationBiologyFisheryMallotusPopulationEcologyForage fishBiological dispersalRange (aeronautics)GeographyDemography
DOInot available

Abstract

fetched live from OpenAlex

Although distribution patterns of seabirds at sea have been described for decades, it remains difficult to identify the mechanisms underlying these patterns. For instance, researchers focusing on prey dispersion as the primary determinant of seabird distribution have found high variability in the spatial overlap of bird and prey aggregations, partially due to the scale-dependent nature of such associations. We conducted a study to identify how the behaviour of capelin Mallotus villosus, the primary prey species of all vertebrate predators in the Northwest Atlantic, influences the search tactics of Common Murres Uria aalge while acting as central-place foragers during chick-rearing. The study was conducted from 1998-2002 on and around Funk Island, the largest colony of murres in eastern Canada (∼ 400 000 breeding pairs , situated on the northeast coast of Newfoundland. We made direct measurements of (1) the distribution, a bundance and spatial and temporal persistence of capelin aggregations within the foraging range from the colony (∼ 100 km) in combination with (2) bio-physical habitat characteristics associated with capelin aggregations, and (3) individual- and population-level arrival and departure behaviour of murres from the colony. During July of 2000, capelin were found to be persistently abundant within specific 2.25 km blocks of transect ("hotspots"). Further study revealed that capelin persisted in hotspots due to bio-physical characteristics suitable for demersal spawning and for staging areas and foraging areas prior to and after spawning. Directions of return and departure flights of murres measured from the colony did not match during the same observation period (∼ 1h), indicating that murres departing the colony did not use information on prey distribution provided by the flight paths of flocks returning to the colony (Information Center Hypothesis). Specific, commuting routes (regular flight paths) of murres toward and away from capelin hotspots, however, were obvious at sea, and feeding murres consistently marked the location of these hotspots. This provided excellent conditions for murres to locate capelin from memory and by cueing to activities of conspecifics (local enhancement). Hotspots were persistent across years in this region, presumably allowing marine predators to learn the locations of hotspots, resulting in the use of traditional feeding grounds through generations. Hotspots of predators and prey promote energy transfer among trophic levels, a key ecosystem process. Human predators also concentrate fishing activities within these areas and, thus, there is a need to identify hotspots for protection. Persistent hotspots would be particularly amenable to the design of marine protected areas defined by the habitats of marine predators and their prey.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.254
Teacher spread0.234 · 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