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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