The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Predicting the response of Gulf of Mexico hypoxia to variations in Mississippi River nitrogen load
Open accessAbstract
The effects of nutrient loading from the Mississippi River basin on the areal extent of hypoxia in the northern Gulf of Mexico were examined using a novel application of a dissolved oxygen model for a river. The model,driven by river nitrogen load and a simple parameterization of ocean dynamics, reproduced 17 yr of observed hypoxia location and extent, subpycnocline oxygen consumption, and cross‐pycnocline oxygen flux. With Monte Carlo analysis, we illustrate through hindcasts back to 1968 that extensive regions of low oxygen were not common before the mid‐1970s. The Mississippi River Watershed/Gulf of Mexico Hypoxia Task Force set a goal to reduce the 5‐yr running average size of the Gulf’s hypoxic zone to less than 5,000 km 2 by 2015 and suggested that a 30% reduction from the 1980–1996 average nitrogen load is needed to reach that goal. Here we show that 30% might not be sufficient to reach that goal when year‐to‐year variability in ocean dynamics is considered.
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.
Integrity signals
Registry
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.
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
Challenges and opportunities for science in reducing nutrient over-enrichment of coastal ecosystems
Boesch, D. F. (2002) · Estuaries · doi:10.1007/bf02804914 · Cited by 381
Cited by
Mitsch, W. J., & Day, J. W. (2006) · Ecological Engineering · doi:10.1016/j.ecoleng.2005.09.005 · Cited by 257
The Missing Silica Sink: Revisiting the Marine Sedimentary Si Cycle Using Cosmogenic 32 Si
Rahman, S., Aller, R. C., & Cochran, J. K. (2017) · Global Biogeochemical Cycles · doi:10.1002/2017gb005746 · Cited by 108
Powers, S. E. (2005) · doi:10.2172/15016223 · Cited by 30
Metadata
- Authors
- Scavia, D., Rabalais, N. N., Turner, R. E., Justić, D., & Wiseman, W. J.
- Venue
- Limnology and Oceanography
- Publisher
- Wiley
- Published
- 2003-05
- Volume
- 48
- Issue
- 3
- Pages
- 951-956
- ISSN
- 0024-3590 (ISSN-L)
- 1939-5590
- OpenAlex
- W2011307488
- Cited by
- 262
- References
- 1
- FWCI
- 8.91
- 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: Predicting the response of Gulf of Mexico hypoxia to variations in Mississippi River nitrogen load. https://app.cochat.ai/papers/10.4319/lo.2003.48.3.0951
- The paper
- Scavia, D., Rabalais, N. N., Turner, R. E., Justić, D., & Wiseman, W. J. (2003). Predicting the response of Gulf of Mexico hypoxia to variations in Mississippi River nitrogen load. Limnology and Oceanography. https://doi.org/10.4319/lo.2003.48.3.0951
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.