Description Usage Arguments Details Value Author(s) References See Also
Calculate GPP from O2 time series in consecutive time-windows of prescribed length.
1 2 3 4 |
x |
Vector or dataframe containing consecutive O2 concentrations, sampled at regular intervals (time step = dt). In case of irregular time intervals, consider |
dt |
Sampling time step. Either a difftime object or a numerical value. When |
units |
Unit of sampling time step |
Width |
Width [days] of the time-windows for which GPP is calculated |
Nblocks |
Number of consecutive subsections on which to calculate GPP. By default the number of windows of Width fitting into the range of x[,1] Default the largest number of blocks ow width=Width that |
fDL |
Optional. Relative fraction of daylight. When |
phi |
Latitude of location where O2 series was recorded. Used to calculate relative fraction of light hours during the day, during which production takes place |
lambda |
Longitude of location where O2 series was recorded |
filtWidth |
[hours] Lenght of moving average filter to filter O2 series. See GPPFourierPreprocess() |
... |
Other parameters to be passed to |
no details
Average gross primary production in units of oxgen as in x
per day.
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
, GPPFourier_t
, WindowGPPFourier.gts
, SunRiseSet
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