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Record W4408668012 · doi:10.2110/jsr.2024.110

Sedimentation patterns in the three basins of Walden Pond, Concord, Massachusetts, U.S.A.: a multiproxy approach to decipher environmental trends, anthropogenic impacts, and regional events of the last 800 years

2025· article· en· W4408668012 on OpenAlexaff
Katrin Monecke, Brad Hubeny, Francine M.G. McCarthy, Aaron Alderson, Joseph I. Boyce, Daniel J. Brabander, Renee Veresh

Bibliographic record

VenueJournal of Sedimentary Research · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsMcMaster UniversityBrock University
Fundersnot available
KeywordsGeologyDECIPHERSedimentationPaleontologySediment

Abstract

fetched live from OpenAlex

Abstract Multiproxy analysis of sedimentary records retrieved from the three basins of Walden Pond, Concord, Massachusetts, reveals distinct sedimentary processes characterizing each basin configuration. It also allows reconstruction of a comprehensive landscape history that explores a wide range of questions from climate change to regional anthropogenic and natural events. Here, we present an 800-year-long sedimentary record of the three basins of Walden Pond, a closed kettle lake, that has been affected by changes to the landscape since European settlement in the early 17th century and during later transition to a popular tourist destination. Separate age models were developed for each basin using pollen stratigraphy, onset of industrial contaminants, and radiocarbon dating, which allow robust correlation between the three basins. Using a combination of geophysical, sedimentological, geochemical, and palynological proxies we were able to define four time periods of landscape change: a mostly forested landscape before the early 17th century, an early European era characterized by logging and shoreline use, an industrial period with peak concentrations of air pollutants such as coal and Pb, and the youngest period of widespread recreational activities marked by soil erosion, high nutrient input, and high productivity. While all three basins show the main trends, the shallowest basin is most affected by shoreline processes. The deepest and largest basin has the highest sedimentation rate, likely because of sediment focusing and more effective preservation of organic matter due to partial lake-bottom anoxia. Suspended sediments and airborne pollutants are more equally distributed throughout all basins but can be diluted in larger basins. In addition to long-term trends, we were able to identify sudden-onset sedimentation events, likely caused by mass wasting along the steep-sided slopes of all three basins. Three of these horizons are evident in more than one basin and perhaps are linked to a strong historic earthquake in 1755 CE and two prehistoric earthquakes.

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 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)0.003
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 score0.004
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.037
GPT teacher head0.311
Teacher spread0.274 · 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 teacher head, 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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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