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Record W3134618043 · doi:10.1038/s43247-021-00121-x

Global patterns of nitrate isotope composition in rivers and adjacent aquifers reveal reactive nitrogen cascading

2021· article· en· W3134618043 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCommunications Earth & Environment · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsWilfrid Laurier University
FundersAgencia Nacional de Promoción Científica y TecnológicaAgencia Nacional de Investigación y DesarrolloConsejo Nacional de Investigaciones Científicas y TécnicasDivision of Atmospheric and Geospace SciencesNatural Sciences and Engineering Research Council of CanadaInternational Atomic Energy AgencyFondo de Financiamiento de Centros de Investigación en Áreas PrioritariasBritish Geological SurveyAcademy of FinlandNatural Environment Research CouncilUK Research and InnovationUniversiti Sains MalaysiaSight Research UKFondazione CariploNational Science Foundation
KeywordsBiogeochemical cycleNitrateAquiferEnvironmental chemistryIsotopes of nitrogenEnvironmental scienceNitrogenIsotope analysisStable isotope ratioReactive nitrogenδ15NNitrogen cyclePollutionHydrology (agriculture)GroundwaterChemistryEcologyGeologyBiologyδ13C

Abstract

fetched live from OpenAlex

Abstract Remediation of nitrate pollution of Earth’s rivers and aquifers is hampered by cumulative biogeochemical processes and nitrogen sources. Isotopes ( δ 15 N, δ 18 O) help unravel spatiotemporal nitrogen(N)-cycling of aquatic nitrate (NO 3 − ). We synthesized nitrate isotope data ( n = ~5200) for global rivers and shallow aquifers for common patterns and processes. Rivers had lower median NO 3 − (0.3 ± 0.2 mg L −1 , n = 2902) compared to aquifers (5.5 ± 5.1 mg L −1 , n = 2291) and slightly lower δ 15 N values (+7.1 ± 3.8‰, n = 2902 vs +7.7 ± 4.5‰, n = 2291), but were indistinguishable in δ 18 O (+2.3 ± 6.2‰, n = 2790 vs +2.3 ± 5.4‰, n = 2235). The isotope composition of NO 3 − was correlated with water temperature revealing enhanced N-cascading in warmer climates. Seasonal analyses revealed higher δ 15 N and δ 18 O values in wintertime, suggesting waste-related N-source signals are better preserved in the cold seasons. Isotopic assays of nitrate biogeochemical transformations are key to understanding nitrate pollution and to inform beneficial agricultural and land management strategies.

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 score0.005
Threshold uncertainty score0.410

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 head0.015
GPT teacher head0.211
Teacher spread0.196 · 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