This page describes the usage of RITY with phenology()
.
The model specific inputs are listed and its basic functionality is explained.
RITY (also called RITY-2) was published by Ogris2019;textualbarrks and
parametrized for Ips typographus in Slovenia.
The function returns a phenology. Look here to find out how it can be analysed.
Daily minimum/mean/maximum temperatures in °C.
For the development
submodel, the parameter that is obligatory depends on
mode
.
Length of the day in hours. Can be created with
create_daylength_rst()
or create_daylength_rst()
.
Specifies which temperature should be used to calculate the
development. Can be min
, mean
or max
.
See phenology()
for a detailled description of the function.
In the following, the basic functioning of RITY is explained.
Onset: See PHENIPS.
Development: Based on PHENIPS with a few modifications:
The optimum curve is calculated according to Wermelinger1998;textualbarrks without simplification.
The minimum, mean or maximum bark temperature can be used to calculate the development. These temperatures depend only on the respective air temperatures.
Diapause: See PHENIPS.
Mortality: See PHENIPS.
Look here to find out how the model parameters affect the actual calculations and which values are used by default.
In barrks
, phenology()
is used to apply a model. The following code
illustrates which inputs are required to apply RITY and which additional
parameters are available.
phenology("rity", ..., tmin = NULL, tmean = NULL, tmax, daylength, mode = 'max')# calculate submodels separately
phenology("rity", ..., .submodels = 'onset', tmax)
phenology("rity", ..., .submodels = 'diapause', daylength)
phenology("rity", ..., .submodels = 'mortality', tmax)
phenology("rity", ..., .submodels = 'development',
.onset, .diapause = NULL, .mortality = NULL,
tmin = NULL, tmean = NULL, tmax = NULL, mode = 'max')
model()
, phenology()
, model.rity.customize
Other phenology applications:
model.bso.apply
,
model.chapy.apply
,
model.joensson.apply
,
model.lange.apply
,
model.phenips.apply
,
model.phenips_clim.apply