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Record W2139363355 · doi:10.5253/078.100.0205

The Diet of the White-Breasted Cormorant<i>Phalacrocorax carbo lucidus</i>Along the Atlantic Coast of West Africa

2012· article· en· W2139363355 on OpenAlexaff
Jan Veen, Wim C. Mullié, Thor Veen

Bibliographic record

VenueArdea · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFisheryCormorantBrackish waterPopulationEstuaryBiologyPelagic zoneGeographyEcologyPredationSalinity

Abstract

fetched live from OpenAlex

The White-breasted Cormorant Phalacrocorax carbo lucidus occurs in Central, West, East and South Africa. The West African population breeds on the Cape Verde Islands and along the Atlantic coast from Mauritania to Guinea. The species forages in marine, brackish and fresh waters and is thought to be (almost) completely piscivorous. However, data on diet are poorly available and completely lacking for the West African population. We collected regurgitated pellets at three sites, in Mauritania (Island of Zira, Banc d'Arguin) and Senegal (Ilot aux Oiseaux, a small islet in the estuary of the Senegal River and Ile de la Madeleine near Dakar). On the basis of otoliths, 34 fish species belonging to 21 families were identified. There was great variation in the diet of the cormorants at the different sites, with Haemulidae and Batrachoididae being dominant on Ile de la Madeleine, Ariidae and Cynoglossidae on Ilot aux Oiseaux and Sparidae, Mugilidae and Batrachoididae on the Island of Zira. Most fish consumed were coastal species, many of which may also enter brackish or fresh waters. The cormorants mainly ate benthic and bentho-pelagic fish species varying in size between 10 and 20 cm. There was great variation in the number of otoliths per pellet at the different sites with a remarkably small number in the Zira sample. We investigated whether a small number of otoliths per pellet can be explained by the prey fish being larger or by the otoliths being more eroded. The latter might be an indication that part of the otoliths had been totally dissolved and thus disappeared from the samples. Neither fish size nor extent of wear could explain the small number of otoliths in the Zira sample. A comparison between artisanal fisheries catches and the diet of the cormorants showed hardly any overlap for the Senegalese sites. However, substantial overlap was found at the Banc d'Arguin in Mauritania. These differences can be explained by the high proportion of pelagic species caught in the Senegalese sites.

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)0.001
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 score0.142
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.216
Teacher spread0.203 · 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

Citations6
Published2012
Admission routes1
Has abstractyes

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