Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 166

The DOI matches its Crossref record.

Seasonal coupling between riverborne nutrients, net productivity and hypoxia

Justić, Dubravko, Rabalais, Nancy N., Eugene Turner, R., Wiseman, William J.·1993·Marine Pollution Bulletin

Abstract

Abstract Seasonal dynamics of net productivity in the northern Adriatic Sea and in the northern Gulf of Mexico is coherent with the dynamics of freshwater discharge from their major rivers, the Po River and the Mississippi River, respectively. Oxygen deficit in the bottom waters also shows significant correlation with the river flow, implying a time-lag of 2 months in the northern Gulf of Mexico, and a time-lag of 4 months in the northern Adriatic Sea. Fluxes of organic matter resulting from ‘new’ primary production are potentially high, and may be sufficient to induce hypoxia in a highly stratified water column. A large fraction of nutrients in the Po River and the Mississippi River likely originates from synthetic fertilizers and detergents. The above findings, therefore, not only demonstrate close coupling between riverborne nutrients, net productivity and hypoxia, but also show that the anthropogenic nutrient loads can easily over-come the homeostatic potential of a coastal marine ecosystem.

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 · 10.1016/0025-326x(93)90620-y

Cites

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

Cited by

See all 166

Metadata

Authors
Justić, D., Rabalais, N. N., Eugene Turner, R., & Wiseman, W. J.
Venue
Marine Pollution Bulletin
Publisher
Elsevier BV
Published
1993-04
Volume
26
Issue
4
Pages
184-189
ISSN
0025-326X (ISSN-L)
OpenAlex
W1993522936
Cited by
166
References
0
FWCI
3.08
Type
journal article
Language
en
Open access
closed

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: Seasonal coupling between riverborne nutrients, net productivity and hypoxia. https://app.cochat.ai/papers/10.1016/0025-326x(93)90620-y
The paper
Justić, D., Rabalais, N. N., Eugene Turner, R., & Wiseman, W. J. (1993). Seasonal coupling between riverborne nutrients, net productivity and hypoxia. Marine Pollution Bulletin. https://doi.org/10.1016/0025-326x(93)90620-y

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.