Estuarine Bayesian Single-Station Estimation Method for Ecosystem Metabolism

Estimate ecosystem metabolism in a Bayesian framework for individual water quality monitoring stations with continuous dissolved oxygen time series. A mass balance equation is used that provides estimates of parameters for gross primary production, respiration, and gas exchange. Methods adapted from Grace et al. (2015) and Wanninkhof (2014) . Details in Beck et al. (2024) .

EBASE

R package for Estuarine BAyesian Single-station Estimation (EBASE) method for ecosystem metabolism.

Installation

Install the package as follows:

# Install EBASE in R:
install.packages('EBASE', repos = c('https://fawda123.r-universe.dev', 'https://cloud.r-project.org'))

The JAGS software must also be installed to use this package. Follow the instructions in the link to download and install the version appropriate for your operating system.

Minimal example

library(dplyr)
library(lubridate)
library(doParallel)

# get four days of data
dat <- exdat %>%
  filter(month(DateTimeStamp) == 6 & day(DateTimeStamp) %in% 1:4)

##
# run ebase with defaults

# setup parallel backend
cl <- makeCluster(2)
registerDoParallel(cl)

res <- ebase(dat, interval = 900, Z = 1.85)

stopCluster(cl)