Function summary summarizes the model's output in different temporal steps (i.e. weekly, annual, ...).
Usage
# S3 method for class 'spwb'
summary(
object,
freq = "years",
output = "WaterBalance",
FUN = sum,
bySpecies = FALSE,
months = NULL,
...
)
# S3 method for class 'aspwb'
summary(
object,
freq = "years",
output = "WaterBalance",
FUN = sum,
bySpecies = FALSE,
months = NULL,
...
)
# S3 method for class 'pwb'
summary(
object,
freq = "years",
output = "WaterBalance",
FUN = sum,
bySpecies = FALSE,
months = NULL,
...
)
# S3 method for class 'growth'
summary(
object,
freq = "years",
output = "WaterBalance",
FUN = sum,
bySpecies = FALSE,
months = NULL,
...
)
# S3 method for class 'fordyn'
summary(
object,
freq = "years",
output = "WaterBalance",
FUN = sum,
bySpecies = FALSE,
months = NULL,
...
)Arguments
- object
An object of class
spwb,aspwb,pwb,growthorfordyn.- freq
Frequency of summary statistics (see
cut.Date).- output
The data table to be summarized. Accepted values are the path to data tables in
object, such as 'WaterBalance', 'Soil', 'Stand' or 'Plants$LAI'. It is also possible to use strings like 'Transpiration' and the function will interpret it as 'Plants$Transpiration'.- FUN
The function to summarize results (e.g.,
sum,mean, ...)- bySpecies
Allows aggregating output by species before calculating summaries (only has an effect with some values of
output). Aggregation can involve a sum (as for plant lai or transpiration) or a LAI-weighted mean (as for plant stress or plant water potential).- months
A vector of month numbers (1 to 12) to subset the season where summaries apply.
- ...
Additional parameters for function
summary.
Note
When applied to fordyn objects, the summary function can be used to gather the results of different yearly steps into a single table while keeping a daily resolution (i.e. using freq = "days".
Examples
# \donttest{
#Load example daily meteorological data
data(examplemeteo)
#Load example plot plant data
data(exampleforest)
#Default species parameterization
data(SpParamsMED)
#Define soil with default soil params (4 layers)
examplesoil <- defaultSoilParams(4)
#Initialize control parameters
control <- defaultControl("Granier")
#Initialize input
x <- spwbInput(exampleforest,examplesoil, SpParamsMED, control)
#Call simulation function
S1<-spwb(x, examplemeteo, latitude = 41.82592, elevation = 100)
#> Initial plant water content (mm): 4.69853
#> Initial soil water content (mm): 290.875
#> Initial snowpack content (mm): 0
#> Performing daily simulations
#>
#> [Year 2001]:............
#>
#> Final plant water content (mm): 4.69674
#> Final soil water content (mm): 275.757
#> Final snowpack content (mm): 0
#> Change in plant water content (mm): -0.00178912
#> Plant water balance result (mm): -0.00180604
#> Change in soil water content (mm): -15.1184
#> Soil water balance result (mm): -15.1184
#> Change in snowpack water content (mm): 0
#> Snowpack water balance result (mm): -7.10543e-15
#> Water balance components:
#> Precipitation (mm) 513 Rain (mm) 462 Snow (mm) 51
#> Interception (mm) 83 Net rainfall (mm) 380
#> Infiltration (mm) 410 Infiltration excess (mm) 21 Saturation excess (mm) 0 Capillarity rise (mm) 0
#> Soil evaporation (mm) 25 Herbaceous transpiration (mm) 0 Woody plant transpiration (mm) 246
#> Plant extraction from soil (mm) 246 Plant water balance (mm) -0 Hydraulic redistribution (mm) 2
#> Runoff (mm) 21 Deep drainage (mm) 154
#Queries the tables in 'Soil'
names(S1$Soil)
#> [1] "SWC" "RWC" "REW" "ML"
#> [5] "Psi" "PlantExt" "HydraulicInput"
#Monthly summary (averages) of soil relative water content
summary(S1, freq="months",FUN=mean, output="RWC")
#> 1 2 3 4 Overall
#> 2001-01-01 0.9939327 0.9995597 0.9998246 1.0264658 1.0011126
#> 2001-02-01 0.9403668 0.9897262 0.9954148 0.9924381 0.9799215
#> 2001-03-01 0.9571712 0.9941056 1.0012242 1.0515212 0.9932837
#> 2001-04-01 0.8665224 0.9682320 0.9844315 0.9751415 0.9493322
#> 2001-05-01 0.8961655 0.9778100 0.9919579 0.9873223 0.9633498
#> 2001-06-01 0.6586943 0.8832971 0.9578311 0.9409453 0.8560707
#> 2001-07-01 0.8965367 0.9398255 0.9621061 0.9253273 0.9339717
#> 2001-08-01 0.9193542 0.9823236 0.9911082 0.9889506 0.9705431
#> 2001-09-01 0.9237217 0.9843918 0.9924843 0.9863422 0.9724828
#> 2001-10-01 0.9544451 0.9930806 0.9957817 1.0112287 0.9866193
#> 2001-11-01 0.9483943 0.9917490 1.0070386 1.0931390 0.9961309
#> 2001-12-01 0.8924066 0.9807768 0.9938735 0.9900085 0.9644373
#Queries the tables in 'Plants'
names(S1$Plants)
#> [1] "LAI" "LAIlive" "FPAR"
#> [4] "AbsorbedSWRFraction" "Transpiration" "GrossPhotosynthesis"
#> [7] "PlantPsi" "LeafPLC" "StemPLC"
#> [10] "PlantWaterBalance" "LeafRWC" "StemRWC"
#> [13] "LFMC" "PlantStress"
#Monthly summary (averages) of plant stress
summary(S1, freq="months",FUN=mean, output="PlantStress",
bySpecies = TRUE)
#> Pinus halepensis Quercus coccifera Quercus ilex
#> 2001-01-01 0.004784526 0.003156632 0.006375245
#> 2001-02-01 0.006985942 0.004081034 0.007642733
#> 2001-03-01 0.006470491 0.003850444 0.007313595
#> 2001-04-01 0.012155169 0.006135056 0.010372283
#> 2001-05-01 0.010542298 0.005449125 0.009410390
#> 2001-06-01 0.070664646 0.025113737 0.031500404
#> 2001-07-01 0.021951608 0.009283859 0.014002860
#> 2001-08-01 0.008735273 0.004782823 0.008585625
#> 2001-09-01 0.008335547 0.004625986 0.008376971
#> 2001-10-01 0.006289725 0.003797446 0.007260573
#> 2001-11-01 0.006906538 0.004024817 0.007549637
#> 2001-12-01 0.009766188 0.005187575 0.009101858
# }