Implements the ModVege grass growth model based off of Jouven et al. (2006).
This class contains model and site parameters and state variables as attributes and has methods for running ModVege with weather and management input.
Use the run()
method to carry out a simulation for a given year. The
results are stored in the state variables in this instance and can be written
to file using write_output()
.
Model variables
See Jouven et al. (2006) for a thorough description of all model variables.
State Variables
BM
Standing biomass in kg DM per ha.BMG
Standing green biomass (kg DM / ha).cBM
Cumulativeley grown biomass (kg DM / ha).dBM
Daily grown biomass (kg DM / ha).hvBM
Cumulative harvested biomass (kg DM / ha).OMD
Organic matter digestibility (kg / kg).OMDG
OMD of green matter (kg / kg).ST
Temperature sum in degree Celsius days.REP
Reproductive function. Gives the fraction of growth that is assigned to reproductive growth. The remainder goes into vegetative growth. Dimensionless.PGRO
Potential growth in kg DM / ha.GRO
Effective growth in kg DM / ha.LAI
Leaf area index, accounting for the proportion of light intercepted by the sward. Dimensionless.LAIGV
LAI of green vegetative biomass. Dimensionless.AET
Actual evapotranspiration in mm.WR
Water reserves in mm.ENV
Function representing environmental effects on growth. Acts as a multiplicative factor. Dimensionless.ENVfPAR
Part of ENV due to strength of incident radiation. Dimensionless.ENVfT
Part of ENV due to temperature. Dimensionless.ENVfW
Part of ENV due to water limitation. Dimensionless.
Initial conditions
AgeGV
Age of green vegetative matter in degree Celsius days.AgeGR
Age of green reproductive matter in degree Celsius days.AgeDV
Age of dead vegetative matter in degree Celsius days.AgeDR
Age of dead reproductive matter in degree Celsius days.BMGV
biomass of GV (kg DM per ha).BMGR
biomass of GR (kg DM per ha).BMDV
biomass of DV (kg DM per ha).BMDR
biomass of DR (kg DM per ha).BMDR
biomass of DR (kg DM per ha).SENG
senescence of GV (kg DM per ha).SENG
senescence of GR (kg DM per ha).ABSG
abscission of DV (kg DM per ha).ABSG
abscission of DR (kg DM per ha).ST
thermal time (degree days).cBM
cumulative total biomass (kg per ha).
References
Jouven M, Carrère P, Baumont R (2006). “Model Predicting Dynamics of Biomass, Structure and Digestibility of Herbage in Managed Permanent Pastures. 1. Model Description.” Grass and Forage Science, 61(2), 112–124. ISSN 1365-2494, doi:10.1111/j.1365-2494.2006.00515.x , https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-2494.2006.00515.x.
Public fields
time_step
Used time step in the model in days (untested).
state_variable_names
Vector containing the names of the model's state variables.
n_state_variables
Number of state variables.
version
Version number of the growR package. Is written into output files.
site_name
Name of the site to be simulated.
run_name
Name of the simulation run. Used to distinguish between different runs at the same site.
year
Year to be simulated.
days_per_year
Number of days in this year.
j_start_of_growing_season
Index (DOY) of the day the growing season was determined to begin.
cut_height
Height of remaining grass after cut in m.
parameters
A ModvegeParameters object.
determine_cut
Function used to decide whether a cut occurs on a given DOY. Is overloaded depending on whether management data is provided or not.
cut_DOYs
List of DOYs on which a cut occurred.
cut_during_growth_preriod
Boolean to indicate whether a cut occurred during the growth period, in which case reproductive growth is stopped.
BM_after_cut
Amount of biomass that remains after a cut #' (determined through cut_height and biomass densities BDGV, BDDV, BDGR, BDDR).
weather
A list created by a WeatherData object's
get_weather_for_year()
method.management
A list containing management data as returned by ModvegeEnvironment's
get_environment_for_year()
method. If itsis_empty
field isTRUE
, the Autocut routine will be employed.Autocut
A subclass of Autocut. The algorithm used to determine cut events.
Methods
Method new()
Constructor
Usage
ModvegeSite$new(parameters, site_name = "-", run_name = "-")
Arguments
parameters
A ModvegeParameters object.
site_name
string Name of the simulated site.
run_name
string Name of the simulation run. Used to differentiate between different simulation conditions at the same site. Defaults to "-", which indicates no specific run name.
Method set_SGS_method()
Choose which method to be used for determination of SGS
Options for the determination of the start of growing season (SGS) are:
- MTD
Multicriterial thermal definition,
start_of_growing_season_mtd()
- simple
Commonly used, simple SGS definition based on temperature sum,
start_of_growing_season()
Method run()
Carry out a ModVege simulation for one year.
Arguments
year
Integer specifying the year to consider.
weather
Weather list for given year as returned by WeatherData
$get_weather_for_year
.management
Management list for given year as provided by ModvegeEnvironment
$get_environment_for_year()
.
Method write_output()
Write values of ModVege results into given file.
A header with metadata is prepended to the actual data.
Method set_parameters()
Savely update the values in self$parameters
.
This is just a shorthand to the underlying ModvegeParameters
object's set_parameters()
function. Special care is taken to
account for potential changes to functional group weights.
Method plot()
Create an overview plot for 16 state variables.
Creates a simple base R plot showing the temporal evolution of 16 modeled state variables.
Can only be sensibly run after a simulation has been carried out,
i.e. after this instance's run()
method has been called.
Method plot_bm()
Create an overview plot for biomass.
Creates a simple base R plot showing the BM with cutting events and,
if applicable, target biomass, dBM, cBM and hvBM.
Can only be sensibly run after a simulation has been carried out,
i.e. after this instance's run()
method has been called.
Method plot_limitations()
Create an overview plot of limiting factors.
Creates a simple base R plot showing the different environmental
limitation functions over time.
Can only be sensibly run after a simulation has been carried out,
i.e. after this instance's run()
method has been called.
Method plot_water()
Create an overview plot of the water balance.
Creates a simple base R plot showing different variables pertaining to the water balance, namely water reserves WR, actual evapotranspiration AET, leaf area index LAI and LAI of the green vegetative compartment LAIGV.
Can only be sensibly run after a simulation has been carried out,
i.e. after this instance's run()
method has been called.
Method plot_growth()
Create an overview plot of growth dynamics.
Creates a simple base R plot showing different variables pertaining to the growth dynamics, namely potential growth PGRO, effective growth GRO, the reproductive function REP and the temperature sum ST.
Can only be sensibly run after a simulation has been carried out,
i.e. after this instance's run()
method has been called.
Method plot_var()
Plot the temporal evolution of a modeled state variable.
Arguments
var
String. Name of the state variable to plot.
...
Further arguments are passed to the base
plot()
function.