The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Temperature effects on export production in the open ocean
Open accessAbstract
A pelagic food web model was formulated with the goal of developing a quantitative understanding of the relationship between total production, export production, and environmental variables in marine ecosystems. The model assumes that primary production is partitioned through both large and small phytoplankton and that the food web adjusts to changes in the rate of allochthonous nutrient inputs in a way that maximizes stability, i.e., the ability of the system to return to steady state following a perturbation. The results of the modeling exercise indicate that ef ratios, defined as new production/total production = export production/total production, are relatively insensitive to total production rates at temperatures greater than ∼25°C and lie in the range 0.1‐0.2. At moderate to high total production rates, ef ratios are insensitive to total production and negatively correlated with temperature. The maximum ef ratios are ∼0.67 at high rates of production and temperatures of 0°−10°C. At temperatures less than ∼20°C, there is a transition from low ef ratios to relatively high ef ratios as total production increases from low to moderate values. This transition accounts for the hyperbolic relationship often presumed to exist between ef ratios and total production. At low rates of production the model predicts a negative correlation between production and ef ratios, a result consistent with data collected at station ALOHA (22°45′N, 158°W) in the North Pacific subtropical gyre. The predictions of the model are in excellent agreement with results reported from the Joint Global Ocean Flux Study (JGOFS) and from other field work. In these studies, there is virtually no correlation between total production and ef ratios, but temperature alone accounts for 86% of the variance in the ef ratios. Model predictions of the absolute and relative abundance of autotrophic and heterotrophic microorganisms are in excellent agreement with data reported from field studies. Combining the ef ratio model with estimates of ocean temperature and photosynthetic rates derived from satellite data indicates that export production on a global scale is ∼20% of net photosynthesis. The results of the model have important implications for the impact of climate change on export production, particularly with respect to temperature effects.
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
STABILITY AND COMPLEXITY IN MODEL ECOSYSTEMS
Schoener, T. W. (1974) · Evolution · doi:10.1111/j.1558-5646.1974.tb00784.x · Cited by 3,928
Hutchinson, E. G. (1957) · Medical Entomology and Zoology · Cited by 3,896
Photosynthetic rates derived from satellite‐based chlorophyll concentration
Behrenfeld, M. J., & Falkowski, P. G. (1997) · Limnology and Oceanography · doi:10.4319/lo.1997.42.1.0001 · Cited by 2,866
Self-citationBiogeochemical Controls and Feedbacks on Ocean Primary Production
Falkowski, P. G., Barber, R. T., & Smetacek, V. (1998) · Science · doi:10.1126/science.281.5374.200 · Cited by 2,848
Self-citationUPTAKE OF NEW AND REGENERATED FORMS OF NITROGEN IN PRIMARY PRODUCTIVITY1
Dugdale, R. C., & Goering, J. J. (1967) · Limnology and Oceanography · doi:10.4319/lo.1967.12.2.0196 · Cited by 2,719
Particulate organic matter flux and planktonic new production in the deep ocean
Eppley, R. W., & Peterson, B. J. (1979) · Nature · doi:10.1038/282677a0 · Cited by 2,575
An estimate of global primary production in the ocean from satellite radiometer data
Longhurst, A., Sathyendranath, S., Platt, T., & Caverhill, C. (1995) · Journal of Plankton Research · doi:10.1093/plankt/17.6.1245 · Cited by 1,480
A nitrogen-based model of plankton dynamics in the oceanic mixed layer
Fasham, M. J. R., Ducklow, H. W., & McKelvie, S. M. (1990) · Journal of Marine Research · doi:10.1357/002224090784984678 · Cited by 1,278
Self-citationMicrobial Control of Oceanic Carbon Flux: The Plot Thickens
Azam, F. (1998) · Science · doi:10.1126/science.280.5364.694 · Cited by 1,196
The fate of marine autotrophic production
Duarte, C. M., & Cebrián, J. (1996) · Limnology and Oceanography · doi:10.4319/lo.1996.41.8.1758 · Cited by 1,000
Cited by
Climate-driven trends in contemporary ocean productivity
Behrenfeld, M. J., O’Malley, R. T., Siegel, D. A., McClain, C. R., Sarmiento, J. L., Feldman, G. C., Milligan, A. J., Falkowski, P. G., Letelier, R. M., & Boss, E. S. (2006) · Nature · doi:10.1038/nature05317 · Cited by 2,485
Self-citationThe Global Carbon Cycle: A Test of Our Knowledge of Earth as a System
Falkowski, P., Scholes, R. J., Boyle, E., Canadell, J., Canfield, D., Elser, J., Gruber, N., Hibbard, K., Högberg, P., Linder, S., et al. (2000) · Science · doi:10.1126/science.290.5490.291 · Cited by 2,177
Self-citationJiao, N., Herndl, G. J., Hansell, D. A., Benner, R., Kattner, G., Wilhelm, S. W., Kirchman, D. L., Weinbauer, M. G., Luo, T., Chen, F., et al. (2010) · Nature Reviews Microbiology · doi:10.1038/nrmicro2386 · Cited by 1,780
Warming up, turning sour, losing breath: ocean biogeochemistry under global change
Gruber, N. (2011) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2011.0003 · Cited by 588
Modeling Diverse Communities of Marine Microbes
Follows, M. J., & Dutkiewicz, S. (2011) · Annual Review of Marine Science · doi:10.1146/annurev-marine-120709-142848 · Cited by 307
Metadata
- Authors
- Laws, E. A., Falkowski, P. G., Smith, W. O., Ducklow, H., & McCarthy, J. J.
- Venue
- Global Biogeochemical Cycles
- Publisher
- American Geophysical Union (AGU)
- Published
- 2000-12
- Volume
- 14
- Issue
- 4
- Pages
- 1231-1246
- ISSN
- 0886-6236 (ISSN-L)
- 1944-9224
- OpenAlex
- W2025420670
- Cited by
- 874
- References
- 65
- FWCI
- 17.95
- 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: Temperature effects on export production in the open ocean. https://app.cochat.ai/papers/10.1029/1999gb001229
- The paper
- Laws, E. A., Falkowski, P. G., Smith, W. O., Ducklow, H., & McCarthy, J. J. (2000). Temperature effects on export production in the open ocean. Global Biogeochemical Cycles. https://doi.org/10.1029/1999gb001229
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.