Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 182

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Dissolved Organic Carbon Cycling in Forested Watersheds: A Carbon Isotope Approach

Open access
Schiff, S. L., Aravena, R., Trumbore, S. E., Dillon, P. J.·1990·Water Resources Research

Abstract

Dissolved organic carbon (DOC) is important in the acid‐base chemistry of acid‐sensitive freshwater systems; in the complexation, mobility, persistence, and toxicity of metals and other pollutants; and in lake carbon metabolism. Carbon isotopes (13 C and 14 C) are used to study the origin, transport, and fate of DOC in a softwater catchment in central Ontario. Precipitation, soil percolates, groundwaters, stream, beaver pond, and lake waters, and lake sediment pore water were characterized chemically and isotopically. In addition to total DOC, isotopic measurements were made on the humic and fulvic DOC fractions. The lake is a net sink for DOC. Δ 14 C results indicate that the turnover time of most of the DOC in streams, lakes, and wetlands is fast, less than 40 years, and on the same time scale as changes in acidic deposition. DOC in groundwaters is composed of older carbon than surface waters, indicating extensive cycling of DOC in the upper soil zone or aquifer.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1029/wr026i012p02949

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 182

Metadata

Authors
Schiff, S. L., Aravena, R., Trumbore, S. E., & Dillon, P. J.
Venue
Water Resources Research
Published
1990-12
Volume
26
Issue
12
Pages
2949-2957
ISSN
  • 0043-1397 (ISSN-L)
  • 1944-7973
OpenAlex
W2010800609
Cited by
182
References
2
FWCI
4.60
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Dissolved Organic Carbon Cycling in Forested Watersheds: A Carbon Isotope Approach. https://app.cochat.ai/papers/10.1029/wr026i012p02949
The paper
Schiff, S. L., Aravena, R., Trumbore, S. E., & Dillon, P. J. (1990). Dissolved Organic Carbon Cycling in Forested Watersheds: A Carbon Isotope Approach. Water Resources Research. https://doi.org/10.1029/wr026i012p02949

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.