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Calculates GEP

flux_gep.Rd

to calculate gross ecosystem production (GEP) from net ecosystem (NEE) exchange and ecosystem respiration (ER) as GEP = NEE - ER. Datetime, PAR and other variables to keep will be taken from the NEE measurement. If it is missing, GEP will be dropped for that pair.

Usage

flux_gep(
  fluxes_df,
  id_cols,
  flux_col,
  type_col,
  datetime_col,
  par_col,
  nee_arg = "NEE",
  er_arg = "ER",
  cols_keep = c()
)

Arguments

fluxes_df

a dataframe containing NEE and ER

id_cols

columns used to identify each pair of ER and NEE

flux_col

column containing flux values

type_col

column containing type of flux (NEE or ER)

datetime_col

column containing start of measurement as datetime

par_col

column containing PAR values for each flux

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.

Value

a df with GEP as a flux type, with PAR and datetime from the NEE measurement for each pair of ER and NEE

Examples

data(co2_fluxes)
flux_gep(co2_fluxes, id_cols = "turfID", flux_col = "flux",
type_col = "type", datetime_col = "f_start", par_col = "PAR",
cols_keep = c("temp_soil"))
#> Warning: 
#>  NEE missing for measurement turfID: 156 AN2C 156
#> # A tibble: 9 × 11
#>   datetime            turfID    PAR type   flux f_fluxID f_slope_tz temp_air_ave
#>   <dttm>              <fct>   <dbl> <chr> <dbl> <fct>         <dbl>        <dbl>
#> 1 2022-07-28 23:47:22 74 WN2…  2.11 GEP    33.8 NA           NA            NA   
#> 2 2022-07-28 23:59:32 109 AN…  1.84 GEP   -20.5 NA           NA            NA   
#> 3 2022-07-29 00:06:35 29 WN3…  1.78 GEP    NA   NA           NA            NA   
#> 4 2022-07-28 23:43:35 156 AN…  1.95 ER     95.6 1             1.56          7.31
#> 5 2022-07-28 23:47:22 74 WN2…  2.11 NEE    52.4 2             0.853         7.38
#> 6 2022-07-28 23:52:10 74 WN2…  2.04 ER     18.6 3             0.303         7.46
#> 7 2022-07-28 23:59:32 109 AN…  1.84 NEE    69.4 4             1.13          7.77
#> 8 2022-07-29 00:03:10 109 AN…  1.66 ER     89.9 5             1.46          7.71
#> 9 2022-07-29 00:06:35 29 WN3…  1.78 NEE    26.2 6             0.426         7.75
#> # ℹ 3 more variables: temp_soil <dbl>, temp_fahr <dbl>, temp_kelvin <dbl>