Paleolimnological records of post-glacial lake and wetland evolution from the Isthmus of Chignecto region, eastern Canada
Bibliographic record
Abstract
The Isthmus of Chignecto on the New Brunswick - Nova Scotia border is the location of the Tantramar, Missaguash, and Amherst Marshes, which together form a large coastal wetland system that has been the focus of much ecosystem research and habitat modification even though little is known about the systems' evolution. In this study, lithostratigraphic and chemostratigraphic lake sediment records from three lakes are used to provide a high resolution record of post-glacial environmental change for the region. Basal dates for the study lakes range from >10,000 cal. yr BP to < 4000 cal. yr BP, indicating that each lake provides a unique story on landscape and salt marsh evolution. Lake sediment stratigraphy indicates rapid fluctuations in lake productivity. Chemostratigraphic proxies indicate fluctuating salinity and oxygen levels in two of the three lakes and show that multiple saltwater incursions likely occurred. Analyses of metals indicate anomalously high pre-historic concentrations of Pb and Hg (8 ppm and 870 ppb respectively). Historic concentrations of Pb and Hg provide evidence for significant atmospheric deposition from industrialization and anthropogenic sources. Collectively, these data suggest that a sophisticated model is required to adequately explain the physical evolution of this extensive wetland system. Periods of sustained saltwater influx into freshwater systems were likely a fundamental driver of systems change. Additionally, both anthropogenic and natural disturbances of the lakes and wetlands have the potential to increase the bioavailability of contaminants. Management of these wetlands must take into account the sensitivity of the wetland system to environmental disturbance.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".