This function finds two possible values of turnover time from radiocarbon sample assuming a one pool model with carbon at equilibrium.
turnoverFit(obsC14, obsyr, yr0, Fatm, plot = TRUE, by = 0.5)
A numeric vector with two values of the turnover time that minimize the difference between the prediction of a one pool model and the observed radiocarbon value.
a scalar with the observed radiocarbon value in Delta14C
a scalar with the year in which the sample was taken.
The year at which simulations will start.
an atmospheric radiocarbon curve as data.frame. First column must be time.
logical. Should the function produce a plot?
numeric. The increment of the sequence of years used in the simulations.
This algorithm takes an observed radiocarbon value and
runs OnepModel14
, calculates the squared difference
between predictions and observations, and uses optimize
to
find the minimum difference.