The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Global distribution of dissolved organic matter along the aquatic continuum: Across rivers, lakes and oceans
Open accessAbstract
Based on an extensive literature survey containing more than 12,000 paired measurements of dissolved organic carbon (DOC) concentrations and absorption of chromophoric dissolved organic matter (CDOM) distributed over four continents and seven oceans, we described the global distribution and transformation of dissolved organic matter (DOM) along the aquatic continuum across rivers and lakes to oceans. A strong log-linear relationship (R2=0.92) between DOC concentration and CDOM absorption at 350nm was observed at a global scale, but was found to be ecosystem-dependent at local and regional scales. Our results reveal that as DOM is transported towards the oceans, the robustness of the observed relation decreases rapidly (R2 from 0.94 to 0.44) indicating a gradual decoupling between DOC and CDOM. This likely reflects the decreased connectivity between the landscape and DOM along the aquatic continuum. To support this hypothesis, we used the DOC-specific UV absorbance (SUVA) to characterize the reactivity of the DOM pool which decreased from 4.9 to 1.7m2 × gC-1 along the aquatic continuum. Across the continuum, a piecewise linear regression showed that the observed decrease of SUVA occurred more rapidly in freshwater ecosystems compared to marine water ecosystems, suggesting that the different degradation processes act preferentially on CDOM rather than carbon content. The observed change in the DOM characteristics along the aquatic continuum also suggests that the terrestrial DOM pool is gradually becoming less reactive, which has profound consequences on cycling of organic carbon in aquatic ecosystems.
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R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Light and photosynthesis in aquatic ecosystems
Kirk, J. T. O. (1994) · Cambridge University Press eBooks · doi:10.1017/cbo9780511623370 · Cited by 4,629
Weishaar, J. L., Aiken, G. R., Bergamaschi, B. A., Fram, M. S., Fujii, R., & Mopper, K. (2003) · Environmental Science & Technology · doi:10.1021/es030360x · Cited by 4,580
Plumbing the Global Carbon Cycle: Integrating Inland Waters into the Terrestrial Carbon Budget
Cole, J. J., Prairie, Y. T., Caraco, N. F., McDowell, W. H., Tranvik, L. J., Striegl, R. G., Duarte, C. M., Kortelainen, P., Downing, J. A., Middelburg, J. J., et al. (2007) · Ecosystems · doi:10.1007/s10021-006-9013-8 · Cited by 3,941
Helms, J. R., Stubbins, A., Ritchie, J. D., Minor, E. C., Kieber, D. J., & Mopper, K. (2008) · Limnology and Oceanography · doi:10.4319/lo.2008.53.3.0955 · Cited by 2,958
Estimating regression models with unknown break‐points
Muggeo, V. M. R. (2003) · Statistics in Medicine · doi:10.1002/sim.1545 · Cited by 2,371
segmented: An R package to Fit Regression Models with Broken-Line Relationships
Muggeo, V. M. R. (2008) · Nova Science Publishers (Nova Science Publishers, Inc.) · Cited by 1,899
Biogeochemistry of Marine Dissolved Organic Matter
(2015) · Elsevier eBooks · doi:10.1016/c2012-0-02714-7 · Cited by 1,559
Absorption by dissolved organic matter of the sea (yellow substance) in the UV and visible domains1
Bricaud, A., Morel, A., & Prieur, L. (1981) · Limnology and Oceanography · doi:10.4319/lo.1981.26.1.0043 · Cited by 1,552
Flocculation of dissolved organic and inorganic matter during the mixing of river water and seawater
Sholkovitz, E. R. (1976) · Geochimica et Cosmochimica Acta · doi:10.1016/0016-7037(76)90035-1 · Cited by 1,060
Metadata
- Authors
- Massicotte, P., Asmala, E., Stedmon, C., & Markager, S.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 609
- Pages
- 180-191
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W2736396066
- Cited by
- 258
- References
- 72
- FWCI
- 13.40
- Type
- journal article
- Language
- en
- Open access
- green
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