Alkyl Lipid Distributions and Compound‐Specific <sup>14</sup>C Isotope Compositions in Diverse Sedimentary Archives in Sub‐Antarctic South Georgia: Deconvolving (Past and Present) Marine and Terrestrial Sources and Revealing Localized Export Dynamics in Response to Environmental Change
Bibliographic record
Abstract
Abstract Alkyl lipid distributions in terrestrial, lacustrine and marine sedimentary archives on sub‐Antarctic South Georgia are investigated to identify source endmembers and evaluate their variation in response to Holocene environmental changes. To understand organic matter exchange processes along the land‐ocean continuum, we combine lipid compositional data with compound‐specific 14C data in representative sedimentary records. These data provide additional source information and temporal constraints on exchange processes that operate at the landscape level. The alkane, alkanoic acid and alkanol distributions are distinct between terrestrial and marine sources, between vascular and primarily non‐vascular plants, and according to the level of degradation. Compound‐specific 14C ages of alkanes, alkanoic acids and alkanols reveal the complexity of the carbon pools associated with these carbon sources. We find that terrigenous compounds in lacustrine and marine sediments are generally older than those produced by aquatic sources, reflecting intermediate storage in peat/soil prior to deposition. Nonetheless, the pre‐depositional age of terrigenous alkyl lipids differs in the different settings although they are located in close proximity under the same climatic conditions. Overall, the 14C data reflect changes in the balance of accumulation and erosion of organic matter in the terrestrial catchments of the investigated sites in response to prevailing environmental conditions. Petrogenic OC ranges from 0% to 7% and 4%–37% in catchments with minor glacier presence and to up to 67%–76% in the large tidewater glacier catchment. Long‐term biospheric OC turnover seems to have been remarkably constant throughout most of the Holocene and higher than in analog settings in the northern hemisphere.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".