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Dissolved organic matter fate in coastal Mediterranean site: Toulon bay case - France

2020· article· en· W3092642193 on OpenAlexaff
Amonda El Houssainy, Gaël Durrieu, Huy Dang, Cédric Garnier, Stéphane Mounier

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsTrent University
Fundersnot available
KeywordsBayBiogeochemical cycleOrganic matterSedimentary organic matterDissolved organic carbonEnvironmental chemistryEnvironmental scienceOceanographyChemistryTotal organic carbonGeology

Abstract

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Dissolved organic matter (DOM) is a complex continuum of molecular species and plays an important role in biogeochemical processes in the aquatic ecosystem, waters and sediments (Aiken et al., 2011; Bolan et al., 2011; Burdige et al., 2004; Chen and Hur, 2015; Fu et al., 2006; Jiang et al., 2018; Stedmon et al., 2003). Once settled into marine sediments, organic matter undergoes biogeochemical transformations (Chen and Hur, 2015). These biogeochemical conditions are dependent on different parameters such as redox condition and microbial activities controlling its dynamics. Studies on pore water organic matter (PW-OM) and extracted organic matter (EOM) give understanding on the fate of sedimentary organic matter. Several studies (Burdige, 2001; Burdige et al., 2004; Chen and Hur, 2015; Dang et al., 2014; Hur et al., 2014; Murphy et al., 2008; Stedmon et al., 2003; Stedmon and Bro, 2008) have used Excitation Emission Matrices of fluorescence coupled to PARAFAC and UV-Vis spectroscopy to characterize DOM among several technics. As it is rapid and gives information on the dynamics, the aromatic structure and even the degree of humification of DOM. Toulon bay is a semi-enclosed bay located in the N-W basin of the Mediterranean Sea and in the S-E of the French coast. This bay is exposed to numerous pollution sources. The origins of organic matter in the bay is the input of two urbanized rivers (Las and Eygoutier), aquaculture, treated sewage outlets and planktonic activities (Boge et al., 2006; Nicolau et al., 2012). Sediment cores and column seawaters were collected at four points in the bay in front of Las River. Each core was sliced within a 2cm resolution under inert atmosphere (N2). Then, pore water was retrieved and filtered (0.2 µm) and solid fraction was freeze-dried, 2mm sieved, crushed. DOC and nutrients concentrations in water samples and total carbon, organic carbon (POC) and total nitrogen were measured on solid. Extraction with alkaline solution was performed and extracted organic carbon and extracted nitrogen were measured. 3D fluorescence measurements were done for all samples from 200 to 800 nm for both excitation and emission. The results showed that the degradation of OM was more intense in front of Las River than outside of the bay. Pore water and extracted OM are influenced by fresh biomass input and the latter is strongly humified. Pore water OM in the superficial layers of sediments comes from autochthonous origin and less humified with a weak aromaticity. However, in deep layers, it shows a terrestrial origin, a regain of aromaticity and an important humic character based on HIX index. Moreover, it is controlled by the production and degradation of nutrients and POC. Extracted OM derives from terrestrial origin and is strongly humified based on HIX index. The state of FDOM in superficial sediments is different from the one in deep sediments because of the reducing environment. There is a contradiction of FDOM fate/behavior between the dissolved and solid phase in deep sediments because the production of FDOM isn’t from the POC pool.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.133
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.012
GPT teacher head0.193
Teacher spread0.181 · 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 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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