This page describes the parameters that can be used to customize BSO. The model was developed by Jakoby et al. (2019) . Look here to find out how to apply the model.
Arguments
- dd_onset_start_date
The date, when the degree days start to sum up ('MM-DD').
- dd_onset_base
Base temperature to calculate degree days to trigger the onset.
- dd_onset_threshold
Degree days that are required before the individuals start regeneration feeding in
slot_dia
of the maturation stage. When the regeneration feeding has finished, the onset is triggered.- slot_dia
Maturation feeding slot where the individuals start regeneration feeding after diapause.
- k
Factor for the calculation of the phloem temperature.
- alpha, tlo, tup
Parameters used to calculate the transition probabilities for each stage (except preflight) in the following order: development, maturation feeding, reproduction.
- tfly_min, tfly_max, pfly_max, beta
Parameters used to calculate the transition probabilities for the preflight stage.
- num_slots
Named vector that defines the number of slots for each stage. The development stage is subdivided into the stages
egg
,larva
andpupa
.- psis
Probability that a sister brood will be established.
- slot_sis
Maturation feeding slot where the individuals start regeneration feeding before they establish a sister brood.
- model_end_date
Date when the model ends (no further development will be modeled).
- diapause_first
The day of year when the diapause could start at the earliest.
- diapause_last
The day of year when the diapause could start at the latest.
- tdia_min
The diapause will be initiated when the average daily temperature falls below that value.
Details
In barrks
, model()
is used to customize a model. The following code
illustrates which parameters are available for BSO and specifies their
default values.
model("bso",
# ==== onset ====
dd_onset_start_date = '01-01',
dd_onset_base = 5.124198,
dd_onset_threshold = 100,
slot_dia = 6,
# ==== onset + development ====
k = 2.853738e-02,
alpha = c(2.549060e-05, 0.0000789, 1.009450e-05),
tlo = c(-1.297644e+01, 4.760089e+00, -4.424628e+00),
tup = c(3.600070e+01, 4.002483e+01, 3.999390e+01),
tfly_min = 16.1064,
tfly_max = 31.2901,
pfly_max = 9.863263e-03,
beta = 1.363763,
num_slots = c(
'reproduction' = 11,
'egg' = 18,
'larva' = 45,
'pupa' = 8,
'maturation' = 8,
'preflight' = 1
),
# ==== development ====
psis = 2.994450e-01,
slot_sis = 4,
model_end_date = '12-30',
# ==== diapause ====
diapause_first = 210,
diapause_last = 232,
tdia_min = 1.645209e+01
)
References
Jakoby O, Lischke H, Wermelinger B (2019). “Climate change alters elevational phenology patterns of the European spruce bark beetle (Ips typographus).” Global Change Biology, 25(12), 4048-4063. doi:10.1111/gcb.14766 .
See also
model()
, phenology()
, model.bso.apply
Other model customizations:
model.chapy.customize
,
model.joensson.customize
,
model.lange.customize
,
model.phenips.customize
,
model.phenips_clim.customize
,
model.rity.customize