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Record W7048975846

Modélisation de l'habitat potentiel des proies du fou de Bassan (Morus bassanus) en période de reproduction dans l'estuaire et le golfe du Saint-Laurent

2017· other· fr· W7048975846 on OpenAlexaboutno aff

Bibliographic record

VenueSémaphore (Université du Québec à Rimouski) · 2017
Typeother
Languagefr
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsExclosureContext (archaeology)Limiting
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ: Au Québec, la colonie de fous de Bassan (Morus bassanus) de l’île Bonaventure a connu une mortalité massive importante des jeunes à l’été 2012. Un changement de la température de l’eau était un des facteurs pouvant expliquer ce phénomène. La température de l’eau pouvait en effet modifier la répartition de différentes espèces marines. Il en va de même pour la proie principale du fou lors du nourrissage des jeunes, le maquereau bleu (Scomber scombrus), qui est adapté à une fenêtre thermique précise. L’hypothèse de la relation entre la température de l’eau et la productivité du fou de Bassan n’avait pas encore été étudiée directement. L’avènement de l’utilisation de l’hydroacoustique pour déterminer la répartition des poissons procurait une occasion unique de tester directement la relation maquereau – température. Basé sur des données hydroacoustiques et de températures de l’eau des étés 2012 et 2013, un modèle spatial additif généralisé contraint avec surabondance de zéro (COZIGAM) a été créé afin de prédire la répartition des poissons pour les étés 2008 à 2014, à l’intérieur des profondeurs exploitées par le fou. Ainsi, l’interaction longitude-latitude, liée à la température de l’eau, a affecté la répartition des poissons. On a remarqué un optimum d’abondance entre 9 et 13°C chez les poissons avec une vessie natatoire (hareng, capelan…). L’abondance de ce groupe de poissons a eu un effet positif exponentiel sur l’abondance des poissons sans vessie natatoire (maquereau et lançon). \nUne variation de la répartition des poissons due à la température de l’eau a été constatée, suite à la comparaison des prédictions d’abondance des poissons entre les années. L’été 2012 se démarquait par une baisse d’abondance moyenne et une répartition plus nordique des poissons. Par conséquent, spécialement dans un contexte de réchauffement climatique, les résultats étaient cohérents avec une influence négative de la température de l’eau sur le succès de reproduction des fous de l’île Bonaventure, puisqu’une augmentation observée de la température de l’eau a modifié la répartition et l’abondance des proies du fou de Bassan. -- Mots clés en français : température de l’eau, répartition spatiale, hydroacoustique, COZIGAM, abondance, poisson, Morus Bassanus, Saint-Laurent. -- ABSTRACT: In the province of Quebec, exceptionally high levels of chick mortality rates were observed during the summer of 2012 in the northern gannets (Morus bassanus) colony of Bonaventure Island. A change in the temperature of the water was one of the factors that can explain this phenomenon. Indeed, the temperature of the water could change the distribution of marine species. The same goes for the main prey of the northern gannet when feeding chick, the mackerel (Scomber scombrus), which is adapted to a precise thermal window. The assumption of the relationship between water temperature and northern gannet productivity has not yet been directly studied. The advent of hydroacoustics provides unique opportunity to directly test the mackerel-temperature relationship by determining fish distribution. Based on hydroacoustics and water temperature data recorded in summer 2012 and 2013, a constrained zero-inflated generalized additive models spatial model (COZIGAM) was created to predict fish distribution for summers 2008 to 2014, within depths exploited by the northern gannet. Thus, related to water temperature, longitude-latitude interaction affects the distribution of fish. For fish with a swim bladder (herring, capelin …), there is an optimum abundance between 9 and 13°C. The abundance of this fish group has an exponential positive effect on the abundance of the fish without swim bladder (mackerel, sandlance). \nA variation in the distribution of fish due to water temperature was observed, following a comparison of spatial predictions between years. Summer 2012 was marked by a mean abundance decline and a more northern distribution of the fish. Consequently, especially in a context of global warming, these results are consistent with a significant negative influence of water temperature on the breeding success of Bonaventure Island northern gannet. Indeed, an observed increase in the water temperature greatly changes the distribution and abundance of prey of the northern gannet. -- Mot(s) clé(s) en anglais : water temperature, spatial distribution, hydroacoustic, COZIGAM, abundance, fish, Morus Bassanus, St. Lawrence.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score0.623

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.185
Teacher spread0.179 · 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 designSimulation or modeling
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

Citations0
Published2017
Admission routes1
Has abstractyes

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