Estimating phytoplankton stoichiometry from routinely collected monitoring data.

ABSTRACT: Accurately estimating the elemental stoichiometry of phytoplankton is critical for understanding biogeochemical cycles. In laboratory experiments, stoichiometric ratios vary among species and with changes in environmental conditions. Field observations of total phosphorus (P) and total nitrogen (N) collected at regional and national scales can supplement and expand insights into factors influencing phytoplankton stoichiometry, but analyses applied to these data can introduce biases that affect interpretations of the observed patterns. We introduce an analytical approach for estimating the ratio between phytoplankton N and P from the particulate fraction of nutrient pools in lake samples. We use Bayesian models to represent observations of particulate P and N as the sum of contributions fro

SUBMITTER: Yuan LL 

PROVIDER: S-EPMC10483987 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature