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Record W4247938913 · doi:10.22587/ajbas.2018.12.1.8

Spatial and Temporal Distribution of Cyanobacteria and Their Relationship with Environmental Parameters In The Aby System Lagoon (south-eastern Ivory Coast, West Africa)

2018· article· en· W4247938913 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.

fundA Canadian funder is recorded on the work.
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

VenueAUSTRALIAN JOURNAL OF BASIC AND APPLIED SCIENCES · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsnot available
FundersUniversité de LiègeAgence Universitaire de la Francophonie
KeywordsSpatial distributionGeographyCote d ivoireDistribution (mathematics)OceanographyFisheryGeologyBiologyRemote sensing

Abstract

fetched live from OpenAlex

Cyanobacteria are often significant components floating microphyte communities, contributing to the biological diversity and, in some cases, providing most of the carbon sources that sustain aquatic food webs In terms of morphology, physiology and metabolism, Cyanobacteria (blue-green algae) are one of the most diverse groups of gram-negative photosynthetic prokaryotes Cyanobacteria have an important role in aquatic ecosystems and they make up part of the planktic, metaphytic, or benthic communities, representing the base of trophic chain; they are responsible for part of primary productivity of aquatic systems and are relevant in biogeochemical cycles Moreover, some species of Cyanobacteria have ability to incorporate nitrogen. Indeed, Cylindrospermopsis raciborskii has the capacity to fix atmospheric nitrogen (N2) through heterocytes, as do other Nostocales, conferring a competitive advantage in nitrogen-depleted environments relative to P. agardhii, which cannot fix nitrogen Due to their capacity for photosynthesis, Cyanobacteria can rapidly become dominant in aquatic and terrestrial habitats by forming intensive blooms. The development of cyanobacterial blooms has become a serious problem in recent decades, because many bloom-forming species are reported to be able to produce secondary metabolites toxic to many organisms, including humans (Bollina et al., 2012). Temperature increases in the range of 0.2 C per decade, and their effects on water mixing regimes, are expected to increase the occurrence, frequency and duration of cyanobacterial blooms in several regions of the planet These future changes in climate are also predicted to cause shifts in the species composition of cyanobacterial blooms in favour of invasive species These can have a strong negative effect on water quality, as certain species of Cyanobacteria are capable of producing toxins. Increased dominance of cyanobacteria on coastal lagoon is a continuing phenomenon in near shore tropical environments, particularly in areas impacted by humans (Bginet al., 2016). In the Aby Lagoon, northern hemisphere summer blooms of Cyanobacteria have been observed

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.381

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.204
Teacher spread0.184 · 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