Metabolism is a fundamental process in ecosystems that crosses multiple scales of organization from individual
organisms to whole ecosystems. To improve sharing and reuse of published metabolism models, we developed LakeMetabolizer, an R package for estimating lake metabolism from in situ time series of dissolved oxygen, water temperature,
and, optionally, additional environmental variables. LakeMetabolizer implements 5 different metabolism models with
diverse statistical underpinnings: bookkeeping, ordinary least squares, maximum likelihood, Kalman filter, and
Bayesian. Each of these 5 metabolism models can be combined with 1 of 7 models for computing the coefficient of gas
exchange across the air–water interface (k). LakeMetabolizer also features a variety of supporting functions that
compute conversions and implement calculations commonly applied to raw data prior to estimating metabolism (e.g.,
oxygen saturation and optical conversion models). These tools have been organized into an R package that contains
example data, example use-cases, and function documentation. The release package version is available on the Comprehensive R Archive Network (CRAN), and the full open-source GPL-licensed code is freely available for
examination and extension online. With this unified, open-source, and freely available package, we hope to improve
access and facilitate the application of metabolism in studies and management of lentic ecosystems