BSO works structurally differently than the other models in this package. It
stochastically simulates a multitude of individuals instead of only returning a result for
one representative beetle. Additionally, it requires an hourly onset to function. This is why
the BSO-specific phenology function bso_phenology()
exists. While it is still
possible to combine the diapause and the mortality submodels with other models,
this is not the case for the onset and development submodels.
library(barrks) library(tidyverse) library(terra) # function to unify the appearance of raster plots my_rst_plot <- function(rst) { plot(rst, mar = c(0.2, 0.1, 2, 5), axes = FALSE, box = TRUE, nr = 1, cex.main = 1.9, plg = list(cex = 1.8)) } pheno_bso <- bso_phenology('bso', barrks_data())
As bso_phenology()
returns a more detailed result than phenology()
, a few
more functions are available for illustration.
The stage diagram illustrates the share of the total individuals
at a specific developmental stage.
station <- stations_create('station 1', 234) bso_plot_stage_diagram(pheno_bso, station)
BSO stage diagram (the different colors represent the respective generation, generation '0' stands for the hibernating beetles)
The flight diagram shows the relative flight activity at a specific date.
bso_plot_flight_diagram(pheno_bso, station)
BSO flight diagram (the colors describe which generation flies to establish a new filial generation or a sister brood respectively)
With bso_translate_phenology()
it is possible to translate the BSO-specific
phenology to a form that corresponds to the output of phenology()
.
This makes it possible to use functions that are available to analyse phenology
objects.
pheno_translated <- bso_translate_phenology(pheno_bso) dates <- c('2015-04-15', '2015-06-15', '2015-08-15', '2015-10-15') get_generations_rst(pheno_translated, dates) %>% my_rst_plot()
Generations calculated by BSO
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