In the full dataset, for each individual, obervation years without phenophase events observed (leaf event, flowering, fruiting, seed dispersal) had been removed as missing. Thereby, some timelines of individuals do not have consecutive dates Here, these missing dates are filled with phenological value of NA, within the individual-specific start-end years

There is an optio to fill small gaps with phenological value NA, based on the length of the missing dates: for example, it is not unusual for these years without phenophase events to exist. Therefore we could still assume these years as observed but without events. To still be cautious about filling in these years, you can select the size of gap of consecutive years without phenophase events (e.g. 2 years without observed events). If this is longer, we keep NA

missing_years(
  data = data,
  species_name = "Afzelia bipindensis",
  pheno = "leaf_turnover",
  gapfill_missingyears = 2
)

Arguments

data

junglerhythms data file

species_name

list of species

pheno

only one phenophase

gapfill_missingyears

number of consecutive years with assumed observations without occured events that can be filled with zero

Value

datasets with full timelines at the individual level