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Record W2755723983 · doi:10.1080/17451000.2017.1342846

Population structure and temporal variation of the roughneck shrimp<i>Rimapenaeus constrictus</i>(Decapoda: Penaeoidea) in a coastal bay of the Southwestern Atlantic

2017· article· en· W2755723983 on OpenAlexaboutno aff
Wilson Oliveira-Souza, Helena Passeri Lavrado

Bibliographic record

VenueMarine Biology Research · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
FundersFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsBayShrimpBiologyFisheryAbundance (ecology)PopulationOceanographyDecapodaCarapaceSalinityFishingAllometryEcologyCrustacean

Abstract

fetched live from OpenAlex

Few studies have been performed regarding long-term variation of penaeids in coastal areas, especially of the marine shrimp Rimapenaeus constrictus, which is distributed along the western Atlantic Ocean (Canada to Brazil). This is the first study of R. constrictus in the Guanabara Bay, a tropical bay on the southern coast of Rio de Janeiro state, Brazil. We aimed to describe its population structure, focusing on sex ratio, abundance, size class and allometry, as well as its relationship with abiotic factors, over five years. Monthly trawls were carried out from January 2011 to December 2015, using a shrimp fishing boat equipped with a single-rig net. The shrimps were identified and sexed and the carapace length and total weight were measured. A total of 6358 individuals were sampled. Females were more abundant and larger than males, a common pattern found in penaeids. The annual abundance peak, which occurred in 2013, was influenced by total rainfall and seasonal peaks occurred in winter and spring. Abundance was positively related to salinity (rs: 0.31, p < 0.05), suggesting that the shrimp’s presence near shallower coastal regions is due to the presence of marine water at the bottom and/or a stronger stratification of the water column in the bay. A low seasonal variation in female allometry can be the result of a constant investment in gametogenesis, and a high seasonal variation in allometry for males can be due to their short life cycle, as was found in previous studies of the same species in other coastal regions worldwide.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.989

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 science0.0010.002
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 head0.026
GPT teacher head0.300
Teacher spread0.274 · 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.

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

Citations3
Published2017
Admission routes1
Has abstractyes

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