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Predicting lake dissolved organic carbon at a global scale
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Limnology. Estonian Marine Institute, University of Tartu, Tallinn, Estonia Centre for Limnology, Estonian University of Life Sciences, Tartu, Estonia.ORCID iD: 0000-0001-5190-2459
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Limnology.ORCID iD: 0000-0003-1351-9277
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2020 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 10, no 1, p. 1-8, article id 8471Article in journal (Refereed) Published
Abstract [en]

The pool of dissolved organic carbon (DOC), is one of the main regulators of the ecology and biogeochemistry of inland water ecosystems, and an important loss term in the carbon budgets of land ecosystems. We used a novel machine learning technique and global databases to test if and how different environmental factors contribute to the variability of in situ DOC concentrations in lakes. In order to estimate DOC in lakes globally we predicted DOC in each lake with a surface area larger than 0.1 km2. Catchment properties and meteorological and hydrological features explained most of the variability of the lake DOC concentration, whereas lake morphometry played only a marginal role. The predicted average of the global DOC concentration in lake water was 3.88 mg L−1. The global predicted pool of DOC in lake water was 729 Tg from which 421 Tg was the share of the Caspian Sea. The results provide global-scale evidence for ecological, climate and carbon cycle models of lake ecosystems and related future prognoses.

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Springer Nature , 2020. Vol. 10, no 1, p. 1-8, article id 8471
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Geochemistry
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URN: urn:nbn:se:uu:diva-414227DOI: 10.1038/s41598-020-65010-3ISI: 000558756600001PubMedID: 32439876OAI: oai:DiVA.org:uu-414227DiVA, id: diva2:1446239
Available from: 2020-06-24 Created: 2020-06-24 Last updated: 2022-09-15Bibliographically approved

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Sobek, SebastianTranvik, Lars

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