A Bayesian network model for estimating stoichiometric ratios of lake seston components
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The elemental composition of seston provide insights into the functioning of lake food webs and how nutrients cycle through the environment. Here, we describe a Bayesian network model that simultaneously estimates relationships between dissolved and particulat... ...
