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Record W6948144066 · doi:10.48448/6ekh-qf72

Spatial overlap and effect of fishing effort on the foraging behavior of the Great Shearwater (Ardenna gravis) on the Argentine Continental Shelf

2021· other· en· W6948144066 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUnderline Science Inc. · 2021
Typeother
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsFishingShearwaterDiscardsBycatchDemersal zoneHakeForagingPelagic zoneSeabirdDemersal fish

Abstract

fetched live from OpenAlex

Abstract: Fishing is the main economic activity in waters of the Argentinian Continental Shelf (ACS). Various seabird species attend trawlers and longliners seeking food facilitated by the fishing operation as well as discards and offal as a byproduct of the catch and processing. During the austral spring, large numbers of Great Shearwaters (GSH, Ardenna gravis) forage over the ACS. This species has been registered interacting with longliners targeting skates or toothfish Dissostichus eleginoides, ice-chilling and freezer trawlers that target hake Merluccius hubbsi and has high rates of bycatch in coastal pelagic trawlers targeting anchovy Engraulis anchoita. This study analyzes the overlap between the distributions of adult (2009-2010 period) and immature (2006, 2008-2009, 2009-2010 periods) GSHs and a range of fishing fleets, as well as assessing the effect of fishing effort on shearwater foraging behavior. The database comprised fisheries effort for 9 fleets, and 21 GSH tracked by satellite telemetry. The tracking data were analyzed with switching state-space models (SSSM) to infer behavior (transitory or foraging) at each location. The overlap was analyzed using the UDOI index (no overlapping = 0, complete overlap UDOI ≥ 1), while the effect of fisheries on foraging behavior was analyzed using GLMM (individual identity as random factors). The largest overlap for all years and age pooled was observed with the pelagic trawlers (UDOI ≥ 0.45), demersal coastal fleets (≥ 0.32), and ice-trawlers target hake (≥ 0.25). For immatures ice-trawlers target hake (2006 and 2008-2009 periods), freezer longiners (2006) and coastal demersal trawlers (2009-2010 period) were the fisheries that showed positive effect in the foraging behavior (i.e. foraging was most likely with increased fishing effort), while for adults ice-trawlers target hake was the only fishery with effect significantly positive. This preliminary analysis as a proxy of risk of interaction constitutes the basis for further studies to define areas and times of higher sensitivity for shearwaters attending fisheries. Authors: Jesica Paz¹, Robert Ronconi², Juan Seco Pon¹, Sofía Copello¹, Peter Ryan³, Marco Favero¹ ¹Instituto de Investigaciones Marinas y Costeras (IIMyC), Universidad Nacional de Mar del Plata, CONI, ²Canadian Wildlife Service, Environment and Climate Change Canada, ³FitzPatrick Institute of African Ornithology, DST-NRF Centre of Excellence, University of Cape Town

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)0.001
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 score0.058
Threshold uncertainty score0.974

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0270.000

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 head0.019
GPT teacher head0.253
Teacher spread0.235 · 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