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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.
The flight diagram shows the relative flight activity at a specific date.
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()
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.