MétaCan
Menu
Back to cohort
Record W1776313780 · doi:10.1029/2005gb002593

Source and transport of terrigenous organic matter in the upper Yukon River: Evidence from isotope (δ<sup>13</sup>C, Δ<sup>14</sup>C, and δ<sup>15</sup>N) composition of dissolved, colloidal, and particulate phases

2006· article· en· W1776313780 on OpenAlexaffabout
Laodong Guo, Robie W. Macdonald

Bibliographic record

VenueGlobal Biogeochemical Cycles · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsFisheries and Oceans Canada
FundersCold Regions Research and Engineering Laboratory
KeywordsTerrigenous sedimentDissolved organic carbonOrganic matterTotal organic carbonEnvironmental chemistryParticulatesChemistryIsotopes of nitrogenIsotopes of carbonStable isotope ratioNitrogenMineralogyGeologySediment

Abstract

fetched live from OpenAlex

Natural organic matter was collected from the upper Yukon River and size fractionated into the <1 kDa low‐molecular‐weight dissolved (LMW‐DOC), colloidal (COC, 1 kDa to 0.45 μm) and particulate organic carbon (POC, >0.45 μm) phases for characterization of elemental (C and N) and isotopic (13C, 14C and 15N) composition to examine their sources and transport. Concentrations of total organic carbon (TOC) decreased from 3010 μM in mid‐May to 608 μM in September, accompanying an increase in river water δ18O from the snowmelt to summer and early fall. COC was the predominant OC species, comprising, on average, 63 ± 8% of the TOC, with 23 ± 5% partitioned in the LMW‐DOC and 14 ± 5% in the POC fraction. Annual riverine export flux to the ocean was 2.02 × 1012 g‐C for TOC, 7.66 × 1010 g‐N for total organic nitrogen (TON), and 3.53 × 1012 g‐C for dissolved inorganic carbon (DIC), respectively. The C/N molar ratios were distinctly different between colloidal organic matter (COM, 46 ± 3) and particulate organic matter (POM, 15 ± 1.4). Similar δ13C values were found for LMW‐DOM (−27.9 ± 0.5‰), COM (−27.4 ± 0.2‰), and POM (−26.2 ± 0.7‰), although there was a general increase with increasing size, suggesting a common terrigenous organic source. In contrast, distinct Δ14C values were found for LMW‐DOC (−155 to +91‰), COC (40 to 140‰), and POC (−467 to −253‰) with a decreasing trend from snowmelt to ice‐open season, suggesting that turnover pathways and transport mechanisms vary with organic matter size fractions. The high abundance of COC and its contemporary 14C ages points to a predominant source from modern terrestrial primary production, likely from the leaching/decomposition of fresh plant litter in the upper soil horizon. The predominately old POC (average 3698 ± 902 years B.P.), in contrast, was largely derived from riverbank erosion and melting of permafrost. These results imply that ice‐opening Yukon River flows are dominated by snowmelt (low δ18O) with high DOC (high Δ14C) but low DIC and Si(OH)4 concentrations, whereas late summer flows contain more products of permafrost or ice melt and rain (high δ18O), with low DOC (low Δ14C) but high DIC and Si(OH)4 concentrations. A warming climate with a deeper permafrost active layer in the Yukon River watershed would enhance the mobilization and export of old terrestrial OC, but largely in the particulate form into the Bering Sea and Arctic Ocean.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.859
Threshold uncertainty score0.281

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.007
GPT teacher head0.193
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), 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

Citations308
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueGlobal Biogeochemical CyclesSame topicMarine and coastal ecosystemsFrench-language works237,207