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Record W2133011208 · doi:10.1029/2009gb003757

Relative role of decreasing precipitation sulfate and climate on recent lake recovery

2010· article· en· W2133011208 on OpenAlexaff
Daniel Houle, Suzanne Couture, Christian Gagnon

Bibliographic record

VenueGlobal Biogeochemical Cycles · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicSoil and Water Nutrient Dynamics
Canadian institutionsMinistère des Ressources naturelles et des Forêts (Québec)Environment and Climate Change Canada
Fundersnot available
KeywordsEnvironmental sciencePrecipitationTemperate climateBorealAlkalinitySulfateClimate changeAcid rainNorthern HemisphereAcid neutralizing capacityAquatic ecosystemEcosystemEnvironmental chemistryDeposition (geology)Physical geographyAcid depositionHydrology (agriculture)Atmospheric sciencesOceanographyEcologyChemistryGeologyStructural basinGeographySoil scienceMeteorology

Abstract

fetched live from OpenAlex

In the last 2 decades, acidic sulfur (S) depositions and SO 4 concentration in surface water significantly decreased in many regions of the world, while at the same time temperatures have been increasing, particularly in the decade 1995–2005, which was one of the warmest ever recorded in the Northern Hemisphere. Understanding the potentially antagonistic or additive effects of decreasing S depositions and increasing temperatures on lake chemistry is essential to adequately evaluate the effectiveness of reduction programs for S emissions. By assessing the rate of change in climate variables, precipitation SO 4 and lake chemistry for 47 temperate and boreal catchments, we found that changes in climate, particularly higher annual temperatures, were more often correlated to lake's pH and alkalinity than was the rate of decreasing S depositions between 1989 and 2005. It suggests that the recent improvement in the acid‐base status of the studied lakes that cover a large area of northeastern North America as well as a large array of acid‐base conditions cannot be attributed solely to a decrease in SO 4 precipitation, but also to climatic variations. Not taking this information into account could lead to an overestimation of the benefit of lower SO 4 deposition on aquatic ecosystems recovery.

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 score0.364
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.005
GPT teacher head0.216
Teacher spread0.211 · 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

Citations39
Published2010
Admission routes1
Has abstractyes

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