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Inland Waters Volume 9, 2019 - Issue 1
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Articles

A Bayesian network model for estimating stoichiometric ratios of lake seston components

Lester L. YuanOffice of Water, US Environmental Protection Agency, Washington, DC, USACorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-9462-824X
ORCID Icon &
John R. JonesSchool of Natural Resources, University of Missouri – Columbia, Columbia, MO, USA
Pages 61-72 | Received 24 May 2018, Accepted 05 Feb 2019, Published online: 11 Apr 2019

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John R. Jones, Daniel V. Obrecht & Anthony P. Thorpe. (2022) Limnological characteristics of Lake of the Ozarks (Missouri, USA): long-term assessment following formation of a reservoir series. Lake and Reservoir Management 38:4, pages 288-303.
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John R. Jones, Anthony P. Thorpe & Daniel V. Obrecht. (2020) Limnological characteristics of Missouri reservoirs: synthesis of a long-term assessment. Lake and Reservoir Management 36:4, pages 412-422.
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Articles from other publishers (2)

Lester L. Yuan & John R. Jones. (2022) Estimating phytoplankton stoichiometry from routinely collected monitoring data. Biogeochemistry 159:2, pages 251-264.
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Lester L. Yuan & John R. Jones. (2020) Rethinking phosphorus–chlorophyll relationships in lakes. Limnology and Oceanography 65:8, pages 1847-1857.
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