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Record W7017655704

Changes in lake-water organic carbon over recent centuries in northern Sweden, Västerbotten : Past and present mechanisms, and the potential implications on mercury

2023· article· en· W7017655704 on OpenAlexaboutno aff

Bibliographic record

VenueDiVA at Umeå University (Umeå University) · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsnot available
Fundersnot available
KeywordsMercury (programming language)Total organic carbonClimate changeDissolved organic carbonAcid rainDrainage basin
DOInot available

Abstract

fetched live from OpenAlex

Due to the current increase in lake water total organic carbon (LW-TOC), many studies have investigated the long-term dynamics using lake sediments. However, these have mainly been focused on Sweden’s south and south-central parts. Thus, this study aimed to investigate how LW-TOC concentrations in northern freshwater systems have changed over the recent few centuries and what effect potential trends or patterns may have on mercury (Hg). A multi-proxy study was conducted that included geochemical characteristics, inferred LW-TOC, chlorophyll a, and land-use observations acting as a supplement to modern land-use changes. The results show that LW-TOC concentrations display tendencies to a decreasing trend in the deepest part of the sediment, which could be related to traditional land-use activities. This is followed by a more rapid decrease reaching equally low LW-TOC concentrations as in southern and south-central Sweden, here suggested being caused by catchment disturbances superimposed by acid deposition. During the recent decades, LW-TOC displayed increasing concentrations, possibly due to the combined effect of the reduction of the abovementioned factors, but also likely to be superimposed by an increase in temperature similar to what has been shown for Canadian lakes. These results align broadly with lakes in southern and south-central Sweden, although with potentially different forcings in the earliest part of the sediment. This contemporary increase in LW-TOC is accompanied by an increase in Hg in two lakes, with both LW-TOC and Chl-a show possible relations.

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)0.000
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 score0.055
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.001
Research integrity0.0000.000
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 head0.011
GPT teacher head0.192
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 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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