to calculate gross ecosystem production (GEP) from net ecosystem (NEE) exchange and ecosystem respiration (ER) as GEP = NEE - ER. Datetime and other variables to keep will be taken from the NEE measurement.
Usage
flux_gep(
fluxes_df,
type_col,
datetime_col,
f_flux = f_flux,
id_cols,
nee_arg = "NEE",
er_arg = "ER",
cols_keep = "none"
)Arguments
- fluxes_df
a dataframe containing NEE and ER
- type_col
column containing type of flux (NEE or ER)
- datetime_col
column containing start of measurement as datetime
- f_flux
column containing flux values
- id_cols
columns used to identify each pair of ER and NEE
- nee_arg
argument designating NEE fluxes in type column
- er_arg
argument designating ER fluxes in type column
- cols_keep
columns to keep from
fluxes_df. Values from NEE row will be filled in GEP row.none(default) keeps only the columns inid_cols, flux, type and datetime columns;allkeeps all the columns; can also be a vector of column names.
Value
a dataframe with GEP as NEE - ER in long format with GEP, NEE, and
ER as flux type, datetime, and any column specified in cols_keep.
Values of datetime and columns in cols_keep for GEP row are taken from
NEE measurements.
Examples
data(co2_fluxes)
flux_gep(co2_fluxes, type, f_start, id_cols = "turfID",
cols_keep = c("temp_soil"))
#> Warning:
#> NEE missing for measurement turfID: 156 AN2C 156
#> # A tibble: 9 × 5
#> f_start type f_flux temp_soil turfID
#> <dttm> <chr> <dbl> <dbl> <fct>
#> 1 2022-07-28 23:43:35 ER 95.6 10.8 156 AN2C 156
#> 2 2022-07-28 23:47:22 GEP 33.8 10.7 74 WN2C 155
#> 3 2022-07-28 23:47:22 NEE 52.4 10.7 74 WN2C 155
#> 4 2022-07-28 23:52:10 ER 18.6 10.7 74 WN2C 155
#> 5 2022-07-28 23:59:32 GEP -20.5 10.8 109 AN3C 109
#> 6 2022-07-28 23:59:32 NEE 69.4 10.8 109 AN3C 109
#> 7 2022-07-29 00:03:10 ER 89.9 10.6 109 AN3C 109
#> 8 2022-07-29 00:06:35 GEP NA 12.2 29 WN3C 106
#> 9 2022-07-29 00:06:35 NEE 26.2 12.2 29 WN3C 106