MétaCan
Menu
Back to cohort
Record W7076144767 · doi:10.26092/elib/4387

Transparent Exopolymer Particles in the Surface Arctic Ocean by Ocean Biogeochemistry Modeling

2025· article· en· W7076144767 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

VenueMedia (https://www.suub.uni-bremen.de/) · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsnot available
Fundersnot available
KeywordsPhytoplanktonExopolymerBiogeochemistryArcticMarine ecosystemEcosystemSea icePrimary producersCarbon cycleBiogeochemical cycle

Abstract

fetched live from OpenAlex

In light of the Arctic Amplification of global warming, it is fundamental to enhance our comprehension of ecosystem dynamics in the Arctic Ocean. This will facilitate predictions about how alterations in phytoplankton and broader ecological processes may evolve under future warming scenarios. The primary production of the Arctic Ocean is principally based on phytoplankton building up organic carbon. The growth and distribution of phytoplankton are strongly shaped by the seasonality of polar night and day, sea ice cover and nutrient availability. Focusing on one essential component of the organic carbon cycle, I simulate transparent exopolymer particles (TEP) in the upper ocean. As in situ observations are scarce, modeling can extend our knowledge on their spatial and temporal occurrence patterns and trends. Additionally, these particles have recently been reported to act themselves as biogenic aerosol precursors, or as precursor for other organic compounds. These may be an important source of primary marine organic aerosols in the Arctic atmosphere. In the first part of my dissertation, I present a coupled ocean sea-ice biogeochemistry model where I integrate dissolved acidic polysaccharides (PCHO) and TEP. Phytoplankton exude organic carbon into the surrounding ocean, particularly under nutrient-depleted conditions. PCHO are defined as one part of the exuded organic carbon, which can then aggregate to form larger particles, such as TEP. There is a strong seasonal cycle of TEP in the upper ocean, as the occurrence of TEP follows the phytoplankton blooms both temporally and spatially. The simulation provides an initial estimate of TEP concentration with the highest levels reaching 200-400 µg C/L in the upper ocean (0-30 m depth) simulated in the Fram Strait and on the continental shelves under conditions of nutrient depletion for June to August. In the central basins, TEP concentration range from 10 to 50 µg C/L. When considered in the context of observation datasets, this simulation performs well in terms of Total Chlorophyll a (TChla) and particulate organic carbon. There is reasonable agreement for TEP compared with the few in situ datasets available. It would be recommended to gather more observational data on TEP in conjunction with data on TChla and other relevant biogeochemical parameters. This would allow deeper insights into the ecosystem dynamics and time series of TEP in the Arctic Ocean. As a consequence of the simulation analysis, the regions of interest for in situ measurements should be the marginal ice zones, and especially the high Arctic due to the seasonal variations of sea ice and its overall declining trend. Moreover, the simulation for the period 1990 to 2019 indicates a significant negative trend of TEP concentration in summer in regions affected by the inflow of Atlantic water, such as the eastern Fram Strait, the Barents Sea, and parts of the Eurasian Basin. Regions of the Arctic Ocean influenced by Pacific water exhibit a significant positive trend in TEP concentration, including the Amerasian Basin, the Canadian Arctic Archipelago and the Kara Sea. In the second part of my thesis, I re-analyze the simulated environmental variables in order to ascertain their role as TEP drivers in three exemplary regions. The analysis demonstrates that TChla is an important predictor for TEP occurrence in general, but also physical factors such as photosynthetically active radiation and sea ice concentration exert a significant influence on the distribution of TEP in the Laptev Sea, while nutrient availability plays an important role in shaping the time series observed in the Fram Strait. In the third part, I asses the long-term trend of TEP in the Arctic Ocean following a high-emission scenario proposed by the Intergovernmental Panel on Climate Change. The Arctic-wide TEP concentration is projected to increase significantly from 80 to 105 µg C/L in the upper ocean until 2100. This increase is driven mostly by the retreat of the sea ice cover, which triggers increases in phytoplankton carbon concentration and a subsequent increase in phytoplankton nutrient limitations. However, there are regional differences as, e.g., in the western Fram Strait, the trends seem to be shaped by the sea ice retreat and light availability, whereas in the eastern Fram Strait, nutrient availability and remineralization of TEP are important factors. The final part of my dissertation revisits the role of biogenic aerosol precursors in the upper ocean. I briefly discuss one application of the knowledge gained about the organic carbon cycle in the upper Arctic Ocean. By serving as an ocean-atmosphere boundary condition, the simulation enables the determination of primary marine organic aerosol emissions in an aerosol-climate model. I conclude with a discussion on two perspectives for future research, namely the simulation of organic matter enrichment at the ocean surface and the distribution of TEP in the water column, especially with respect to sinking and degradation processes.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.242
Teacher spread0.229 · 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