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Record W2099929965 · doi:10.4319/lo.2003.48.5.2062

Climatic control of ultraviolet radiation effects on lakes

2003· article· en· W2099929965 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLimnology and Oceanography · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBiocrusts and Microbial Ecology
Canadian institutionsUniversité LavalCenter for Northern StudiesQueen's UniversityUniversity of Regina
Fundersnot available
KeywordsBiotaEnvironmental scienceAbundance (ecology)BorealEcologyEcosystemLake ecosystemUltraviolet radiationDissolved organic carbonClimate changeNutrientBiomass (ecology)AlgaeOceanographyBiologyChemistryGeology

Abstract

fetched live from OpenAlex

Ultraviolet radiation (UVR) damages most biota, yet little evidence exists for its long‐term effects on natural ecosystems. We used paleoecological techniques at three low‐elevation lakes to show that algal abundance in lakes was depressed 10‐fold by UVR during the first millennium of lake existence. Likewise, analysis of data from a lake near treeline showed that algal biomass declined 10–25‐fold both early in the lake history and during the last ~4000 yr, when inputs of UVR‐absorbing dissolved organic matter (DOM) declined despite constant nutrient levels since ~10,000 14 C yr before the present. This rapid (–1.25% yr −1 ), sustained (>600 yr) suppression of algal abundance arose from directional climate change that reduced DOM inputs and occurred despite initial reservoirs of photoprotective DOM that are typical of most boreal lakes. Hence, we conclude that many lakes may be vulnerable to order‐of‐magnitude declines in algal abundance arising from future climate‐DOM‐UVR interactions.

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.

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 score0.512
Threshold uncertainty score0.138

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 head0.004
GPT teacher head0.173
Teacher spread0.169 · 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