The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Predicting nutrient excretion of aquatic animals with metabolic ecology and ecological stoichiometry: a global synthesis
Abstract
The metabolic theory of ecology (MTE) and ecological stoichiometry (ES) are both prominent frameworks for understanding energy and nutrient budgets of organisms. We tested their separate and joint power to predict nitrogen (N) and phosphorus (P) excretion rates of ectothermic aquatic invertebrate and vertebrate animals (10,534 observations worldwide). MTE variables (body size, temperature) performed better than ES variables (trophic guild, vertebrate classification, body N:P) in predicting excretion rates, but the best models included variables from both frameworks. Size scaling coefficients were significantly lower than predicted by MTE (<0.75), were lower for P than N, and varied greatly among species. Contrary to expectations under ES, vertebrates excreted both N and P at higher rates than invertebrates despite having more nutrient‐rich bodies, and primary consumers excreted as much nutrients as carnivores despite having nutrient‐poor diets. Accounting for body N:P hardly improved upon predictions from treating vertebrate classification categorically. We conclude that basic data on body size, water temperature, trophic guild, and vertebrate classification are sufficient to make general estimates of nutrient excretion rates for any animal taxon or aquatic ecosystem. Nonetheless, dramatic interspecific variation in size‐scaling coefficients and counter‐intuitive patterns with respect to diet and body composition underscore the need for field data on consumption and egestion rates. Together, MTE and ES provide a powerful conceptual basis for interpreting and predicting nutrient recycling rates of aquatic animals worldwide.
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
Pauly, D., Christensen, V., Dalsgaard, J., Froese, R., & Torres, F. (1998) · Science · doi:10.1126/science.279.5352.860 · Cited by 4,743
Effects of Size and Temperature on Metabolic Rate
Gillooly, J. F., Brown, J. H., West, G. B., Savage, V. M., & Charnov, E. L. (2001) · Science · doi:10.1126/science.1061967 · Cited by 3,810
Nutritional constraints in terrestrial and freshwater food webs
Elser, J. J., Fagan, W. F., Denno, R. F., Dobberfuhl, D. R., Folarin, A., Huberty, A., Interlandi, S., Kilham, S. S., McCauley, E., Schulz, K. L., et al. (2000) · Nature · doi:10.1038/35046058 · Cited by 1,645
Peres, C. A., & Palacios, E. (2007) · Biotropica · doi:10.1111/j.1744-7429.2007.00272.x · Cited by 1,383
Global nutrient transport in a world of giants
Doughty, C. E., Roman, J., Faurby, S., Wolf, A., Haque, A., Bakker, E. S., Malhi, Y., Dunning, J. B., & Svenning, J.-C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1502549112 · Cited by 470
Cited by
Linkages between flow regime, biota, and ecosystem processes: implications for river restoration
Palmer, M., & Ruhi, A. (2019) · Science · doi:10.1126/science.aaw2087 · Cited by 791
Yates, M. C., Fraser, D. J., & Derry, A. M. (2019) · Environmental DNA · doi:10.1002/edn3.7 · Cited by 284
Consumer‐driven nutrient dynamics in freshwater ecosystems: from individuals to ecosystems
Atkinson, C. L., Capps, K. A., Rugenski, A. T., & Vanni, M. J. (2017) · Biological Reviews · doi:10.1111/brv.12318 · Cited by 257
Self-citationRichards, S. P., Hesselbarth, M. H. K., & Allgeier, J. E. (2026) · Journal of Animal Ecology · doi:10.1111/1365-2656.70255
Metadata
- Authors
- Vanni, M. J., & McIntyre, P. B.
- Venue
- Ecology
- Publisher
- Wiley
- Published
- 2016-12
- Volume
- 97
- Issue
- 12
- Pages
- 3460-3471
- ISSN
- 0012-9658 (ISSN-L)
- 1939-9170
- OpenAlex
- W2519076246
- Cited by
- 164
- References
- 5
- FWCI
- 15.62
- 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: Predicting nutrient excretion of aquatic animals with metabolic ecology and ecological stoichiometry: a global synthesis. https://app.cochat.ai/papers/10.1002/ecy.1582
- The paper
- Vanni, M. J., & McIntyre, P. B. (2016). Predicting nutrient excretion of aquatic animals with metabolic ecology and ecological stoichiometry: a global synthesis. Ecology. https://doi.org/10.1002/ecy.1582
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.