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Record W2044052264 · doi:10.3354/meps07269

Evidence of a seamount effect on aggregating visitors

2008· article· en· W2044052264 on OpenAlexaffabout
Telmo Morato, DA Varkey, Carla Dâmaso, Miguel Machete, M. Begoña Santos, Rui Prieto, T. J. Pitcher, Ricardo S. Santos

Bibliographic record

VenueMarine Ecology Progress Series · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsUniversity of British Columbia
FundersEuropean Social FundFundação para a Ciência e a Tecnologia
KeywordsSeamountFisheryDelphinus delphisShearwaterSkipjack tunaSperm whaleThunnusBiologyTernPuffinusTunaGeographyBycatchOceanographyEcologyFishingPredationSeabirdFish <Actinopterygii>Geology

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 357:23-32 (2008) - DOI: https://doi.org/10.3354/meps07269 Evidence of a seamount effect on aggregating visitors Telmo Morato1,2,*, Divya Alice Varkey2, Carla Damaso1, Miguel Machete1, Marco Santos1, Rui Prieto1, Ricardo S. Santos1, Tony J. Pitcher2 1Departamento de Oceanografia e Pescas, Universidade dos Açores, 9901-862, Horta, Portugal 2Fisheries Centre, Aquatic Ecosystems Research Laboratory, 2202 Main Mall, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada *Email: t.morato@fisheries.ubc.ca ABSTRACT: It has been suggested that seamounts hold higher abundances of some ‘visiting’ animals, such as tuna, sharks, billfishes, marine mammals, sea-turtles and even seabirds, but this has been based on sparse records, and warrants further examination. In this paper we use data from a fishery observer program to examine whether the predicted higher abundances of tuna, marine mammals, sea turtles and seabirds actually occur around Azores seamounts and to map the distribution of the various species. Our results indicate that some marine predators (skipjack Katsuwonus pelamis and bigeye tuna Thunnus obesus, common dolphin Delphinus delphis and Cory’s shearwater Calonectris diomedea borealis) were significantly more abundant in the vicinity of some shallow-water seamount summits. Our methodology, however, failed to demonstrate a seamount association for bottlenose dolphins Tursiops truncatus, spotted dolphin Stenella frontalis, sperm whale Physeter macrocephalus, terns Sterna hirundo and S. dougalli, yellow-legged gull Larus cachinnans atlantis and loggerhead sea turtles Caretta caretta. Seamounts may act as feeding stations for some of these visitors. Not all seamounts, however, seemed to be equally important for these associations. Only seamounts shallower than 400 m depth showed significant aggregation effects. These seamounts may be considered hotspots of marine life in the Azores, and a special effort should be made in order to ensure a sustainable management of these habitats. KEY WORDS: Seamounts · Tuna · Seabirds · Marine mammals · Sea turtles · Association · Azores Full text in pdf format Supplementary appendix PreviousNextCite this article as: Morato T, Varkey DA, Damaso C, Machete M and others (2008) Evidence of a seamount effect on aggregating visitors. Mar Ecol Prog Ser 357:23-32. https://doi.org/10.3354/meps07269Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 357. Online publication date: April 07, 2008 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2008 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.018
GPT teacher head0.256
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations216
Published2008
Admission routes2
Has abstractyes

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