Description Usage Arguments Details Value Author(s) References See Also Examples
This is the workhorse to calculate aquatic Gross Primary Production from
high frequency dissolved oxygen data. It will often be more convenient to use the higher
level functions WindowGPPFourier
and
WindowGPPFourier.gts
1 2 |
x |
Regularly sampled O2 time series. x can be a dataframe with time (POSIXt) in first column and O2 concentrations in second column or a vector of concentrations sampled with time step = dt |
dt |
Sampling time step. Not used when x is a data frame, then dt is calculated #' from the time spacing between
the first two samples. Either a difftime object or a numerical value. When dt is given as a numerical value, |
units |
Unit of sampling time step |
Nfilt |
Moving average filter width |
fDL |
Relative fraction of light hours during the day. When |
filtcorrect |
Logical controlling whether GPP estimate is corrected for signal falsely removed by filtering |
phi |
Optional: Lattitude. Only used when fDL=NULL and daylength is calculated with |
lambda |
Optional: Lattitude. Only used when fDL=NULL and daylength is calculated with |
... |
Other parameters to be passed to |
no details
Volume specific average gross primary production in units of oxgen as in x
.
per time unit (unit of dt
, given by units
).
Specifically: if O2 concentrations are in mg/L, and units = days
, calculated GPP has units mg/L/day.
If surface specific primary production (e.g. per m2) is desired, this number has to be multiplied by the depth of the water body.
Tom Cox <tom.cox@uantwerp.be>
Cox T.J.S. et al. (2015) 'Estimating primary production from oxygen time series: a novel approach in the frequency domain', Limnology And Oceanography:Methods 13, 529-552. DOI: 10.1002/lom3.10046
GPPFourierPreprocess
, GPPFourier_t
, WindowGPPFourier
,
WindowGPPFourier.gts
1 2 3 4 |
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