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Function extract() extracts daily or subdaily output and returns it as a tidy data frame.

Usage

extract(
  x,
  level = "forest",
  output = NULL,
  vars = NULL,
  dates = NULL,
  subdaily = FALSE
)

Arguments

x

An object returned by simulation functions spwb, pwb or growth.

level

Level of simulation output, either "forest" (stand-level results), "soillayer" (soil layer-level results), "cohort" (cohort-level results), "sunlitleaf" or "shadeleaf" (leaf-level results)

output

Section of the model output to be explored. See details.

vars

Variables to be extracted (by default, all of them).

dates

A date vector indicating the subset of simulated days for which output is desired.

subdaily

A flag to indicate that subdaily values are desired (see details).

Value

Function extract() returns a data frame:

  • If level = "forest", columns are "date" and variable names.

  • If level = "soillayer", columns are "date", "soillayer" and variable names.

  • If level = "cohort", level = "sunlitleaf" or level = "shadeleaf", columns are "date", "cohorts", "species" and variable names.

  • If subdaily = TRUE, columns are "datetime", "cohorts", "species" and variable names.

Details

When subdaily = FALSE, parameter output is used to restrict the section in x where variables are located. For example output = "Plants" will correspond to variables "LAI", "LAIlive", "Transpiration", "StemPLC",... as returned by a call names(x$Plants).

Option subdaily = TRUE only works when simulations have been carried using control option 'subdailyResults = TRUE' (see defaultControl). When using subdaily = TRUE, parameter output is not taken into account, and options for parameter vars are the following:

  • Variables for level = "forest" or level = "soillayer": Not allowed. An error is raised.

  • Variables for level = "cohort": "E","Ag","An","dEdP","RootPsi","StemPsi","LeafPsi","StemPLC","StemRWC","LeafRWC","StemSympRWC","LeafSympRWC","PWB".

  • Variables for level = "shadeleaf" and level="sunlitleaf": "Abs_SWR","Abs_PAR","Net_LWR","E","Ag","An","Ci","Gsw","VPD","Temp","Psi","iWUE".

See also

Author

Miquel De Cáceres Ainsa, CREAF

Examples

#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 (ten days)
S1<-spwb(x, examplemeteo[1:10, ], latitude = 41.82592, elevation = 100)
#> Initial plant water content (mm): 7.05859
#> Initial soil water content (mm): 290.875
#> Initial snowpack content (mm): 0
#> Performing daily simulations
#> 
#>  [Year 2001]:
#> 
#> Final plant water content (mm): 7.05854
#> Final soil water content (mm): 294.814
#> Final snowpack content (mm): 0
#> Change in plant water content (mm): -5.7277e-05
#> Plant water balance result (mm): -5.7277e-05
#> Change in soil water content (mm): 3.93862
#> Soil water balance result (mm): 3.93862
#> Change in snowpack water content (mm): 0
#> Snowpack water balance result (mm): 0
#> Water balance components:
#>   Precipitation (mm) 39 Rain (mm) 34 Snow (mm) 5
#>   Interception (mm) 9 Net rainfall (mm) 25
#>   Infiltration (mm) 30 Infiltration excess (mm) 0 Saturation excess (mm) 0 Capillarity rise (mm) 0
#>   Soil evaporation (mm) 3  Herbaceous transpiration (mm) 0 Woody plant transpiration (mm) 2
#>   Plant extraction from soil (mm) 2  Plant water balance (mm) -0 Hydraulic redistribution (mm) 0
#>   Runoff (mm) 0 Deep drainage (mm) 22

#Extracts daily forest-level output as a data frame
extract(S1, level = "forest")
#>          date       PET Precipitation      Rain   Snow    NetRain Snowmelt
#> 1  2001-01-01 0.8828475      4.869109  4.869109 0.0000  3.4241795   0.0000
#> 2  2001-01-02 1.6375337      2.498292  2.498292 0.0000  1.0717469   0.0000
#> 3  2001-01-03 1.3017026      0.000000  0.000000 0.0000  0.0000000   0.0000
#> 4  2001-01-04 0.5690790      5.796973  5.796973 0.0000  4.3625616   0.0000
#> 5  2001-01-05 1.6760567      1.884401  1.884401 0.0000  0.7539027   0.0000
#> 6  2001-01-06 1.2077028     13.359801 13.359801 0.0000 11.7240275   0.0000
#> 7  2001-01-07 0.6368075      5.377400  0.000000 5.3774  0.0000000   0.0000
#> 8  2001-01-08 0.8318207      0.000000  0.000000 0.0000  0.0000000   0.0000
#> 9  2001-01-09 1.9823797      0.000000  0.000000 0.0000  0.0000000   0.0000
#> 10 2001-01-10 0.8286873      5.117768  5.117768 0.0000  3.6727363   5.3774
#>    Infiltration InfiltrationExcess SaturationExcess Runoff DeepDrainage
#> 1     3.4241795                  0                0      0    2.8139811
#> 2     1.0717469                  0                0      0    0.2707009
#> 3     0.0000000                  0                0      0    0.0000000
#> 4     4.3625616                  0                0      0    3.3540764
#> 5     0.7539027                  0                0      0    0.1270649
#> 6    11.7240275                  0                0      0    4.1214138
#> 7     0.0000000                  0                0      0    4.1214138
#> 8     0.0000000                  0                0      0    2.6988760
#> 9     0.0000000                  0                0      0    0.0000000
#> 10    9.0501360                  0                0      0    4.1214138
#>    CapillarityRise Evapotranspiration Interception SoilEvaporation
#> 1                0          2.0551277     1.444929       0.4478948
#> 2                0          2.2275907     1.426545       0.5000000
#> 3                0          0.7393064     0.000000       0.5000000
#> 4                0          1.7035902     1.434411       0.1645908
#> 5                0          1.9386268     1.130499       0.5000000
#> 6                0          2.2083424     1.635773       0.3505613
#> 7                0          0.1170754     0.000000       0.0000000
#> 8                0          0.1529199     0.000000       0.0000000
#> 9                0          0.3644111     0.000000       0.0000000
#> 10               0          1.8291943     1.445031       0.2318466
#>    HerbTranspiration PlantExtraction Transpiration HydraulicRedistribution
#> 1        0.011023432      0.15128020    0.15128020             0.000000000
#> 2        0.020446613      0.28059934    0.28059934             0.000000000
#> 3        0.016253351      0.22305305    0.22305305             0.000000000
#> 4        0.007105413      0.09748263    0.09748263             0.000000000
#> 5        0.020927620      0.28720044    0.28720044             0.000000000
#> 6        0.015079520      0.20692838    0.20692838             0.000000000
#> 7        0.007951321      0.10912403    0.10912403             0.001234311
#> 8        0.010386260      0.14253364    0.14253364             0.001450852
#> 9        0.024752217      0.33965892    0.33965892             0.000000000
#> 10       0.010346965      0.14196935    0.14196935             0.000000000
#>         LAI   LAIherb  LAIlive LAIexpanded LAIdead       Cm LgroundPAR
#> 1  1.758585 0.1736369 1.584948    1.584948       0 1.390485   40.00754
#> 2  1.758585 0.1736369 1.584948    1.584948       0 1.390485   40.00754
#> 3  1.758585 0.1736369 1.584948    1.584948       0 1.390485   40.00754
#> 4  1.758585 0.1736369 1.584948    1.584948       0 1.390485   40.00754
#> 5  1.758585 0.1736369 1.584948    1.584948       0 1.390485   40.00754
#> 6  1.758585 0.1736369 1.584948    1.584948       0 1.390485   40.00754
#> 7  1.758585 0.1736369 1.584948    1.584948       0 1.390485   40.00754
#> 8  1.758585 0.1736369 1.584948    1.584948       0 1.390485   40.00754
#> 9  1.758585 0.1736369 1.584948    1.584948       0 1.390485   40.00754
#> 10 1.758585 0.1736369 1.584948    1.584948       0 1.390485   40.00754
#>    LgroundSWR    SWE
#> 1    50.73297 0.0000
#> 2    50.73297 0.0000
#> 3    50.73297 0.0000
#> 4    50.73297 0.0000
#> 5    50.73297 0.0000
#> 6    50.73297 0.0000
#> 7    50.73297 5.3774
#> 8    50.73297 5.3774
#> 9    50.73297 5.3774
#> 10   50.73297 0.0000

#Extracts daily soil layer-level output as a data frame
extract(S1, level = "soillayer")
#>          date soillayer       SWC       RWC       REW        ML         Psi
#> 1  2001-01-01         1 0.3029947 1.0000000 1.0000000  68.17381 -0.03300000
#> 2  2001-01-02         1 0.3029947 1.0000000 1.0000000  68.17381 -0.03300000
#> 3  2001-01-03         1 0.2999851 0.9900671 0.9851034  67.49665 -0.03458985
#> 4  2001-01-04         1 0.3029947 1.0000000 1.0000000  68.17381 -0.03300000
#> 5  2001-01-05         1 0.3021890 0.9973408 0.9960119  67.99252 -0.03341837
#> 6  2001-01-06         1 0.3029947 1.0000000 1.0000000  68.17381 -0.03300000
#> 7  2001-01-07         1 0.3026334 0.9988076 0.9982117  68.09252 -0.03318696
#> 8  2001-01-08         1 0.3021566 0.9972338 0.9958515  67.98523 -0.03343531
#> 9  2001-01-09         1 0.3011137 0.9937920 0.9906896  67.75059 -0.03398491
#> 10 2001-01-10         1 0.3029947 1.0000000 1.0000000  68.17381 -0.03300000
#> 11 2001-01-01         2 0.3029947 1.0000000 1.0000000 116.65297 -0.03300000
#> 12 2001-01-02         2 0.3029947 1.0000000 1.0000000 116.65297 -0.03300000
#> 13 2001-01-03         2 0.3028520 0.9995291 0.9992937 116.59804 -0.03307371
#> 14 2001-01-04         2 0.3029947 1.0000000 1.0000000 116.65297 -0.03300000
#> 15 2001-01-05         2 0.3029947 1.0000000 1.0000000 116.65297 -0.03300000
#> 16 2001-01-06         2 0.3029947 1.0000000 1.0000000 116.65297 -0.03300000
#> 17 2001-01-07         2 0.3029362 0.9998068 0.9997102 116.63043 -0.03303023
#> 18 2001-01-08         2 0.3028572 0.9995461 0.9993193 116.60002 -0.03307104
#> 19 2001-01-09         2 0.3026211 0.9987667 0.9981504 116.50911 -0.03319338
#> 20 2001-01-10         2 0.3029947 1.0000000 1.0000000 116.65297 -0.03300000
#> 21 2001-01-01         3 0.3029947 1.0000000 1.0000000  75.74868 -0.03300000
#> 22 2001-01-02         3 0.3029947 1.0000000 1.0000000  75.74868 -0.03300000
#> 23 2001-01-03         3 0.3029718 0.9999242 0.9998863  75.74294 -0.03301186
#> 24 2001-01-04         3 0.3029947 1.0000000 1.0000000  75.74868 -0.03300000
#> 25 2001-01-05         3 0.3029947 1.0000000 1.0000000  75.74868 -0.03300000
#> 26 2001-01-06         3 0.3029947 1.0000000 1.0000000  75.74868 -0.03300000
#> 27 2001-01-07         3 0.3029947 1.0000000 1.0000000  75.74868 -0.03300000
#> 28 2001-01-08         3 0.3029947 1.0000000 1.0000000  75.74868 -0.03300000
#> 29 2001-01-09         3 0.3029038 0.9996999 0.9995499  75.72595 -0.03304696
#> 30 2001-01-10         3 0.3029947 1.0000000 1.0000000  75.74868 -0.03300000
#> 31 2001-01-01         4 0.3029947 1.0000000 1.0000000  30.29947 -0.03300000
#> 32 2001-01-02         4 0.3029947 1.0000000 1.0000000  30.29947 -0.03300000
#> 33 2001-01-03         4 0.3029801 0.9999516 0.9999275  30.29801 -0.03300756
#> 34 2001-01-04         4 0.3029947 1.0000000 1.0000000  30.29947 -0.03300000
#> 35 2001-01-05         4 0.3029947 1.0000000 1.0000000  30.29947 -0.03300000
#> 36 2001-01-06         4 0.3714823 1.2260354 1.3389904  37.14823 -0.01014118
#> 37 2001-01-07         4 0.3301357 1.0895758 1.1343389  33.01357 -0.02146157
#> 38 2001-01-08         4 0.3029947 1.0000000 1.0000000  30.29947 -0.03300000
#> 39 2001-01-09         4 0.3028336 0.9994681 0.9992023  30.28336 -0.03308327
#> 40 2001-01-10         4 0.3423809 1.1299896 1.1949484  34.23809 -0.01751074
#> 41 2001-01-01   Overall 0.3029947 1.0000000 1.0000000 290.87494 -0.03300000
#> 42 2001-01-02   Overall 0.3029947 1.0000000 1.0000000 290.87494 -0.03300000
#> 43 2001-01-03   Overall 0.3022246 0.9974583 0.9961882 290.13563 -0.03340606
#> 44 2001-01-04   Overall 0.3029947 1.0000000 1.0000000 290.87494 -0.03300000
#> 45 2001-01-05   Overall 0.3028059 0.9993767 0.9990653 290.69365 -0.03309806
#> 46 2001-01-06   Overall 0.3101288 1.0235454 1.0353115 297.72369 -0.03061887
#> 47 2001-01-07   Overall 0.3057138 1.0089738 1.0134583 293.48520 -0.03185402
#> 48 2001-01-08   Overall 0.3027431 0.9991696 0.9987547 290.63341 -0.03313052
#> 49 2001-01-09   Overall 0.3023635 0.9979168 0.9968758 290.26900 -0.03332929
#> 50 2001-01-10   Overall 0.3070975 1.0135406 1.0203071 294.81356 -0.03138654
#>         PlantExt HydraulicInput
#> 1   0.1101121597    0.000000000
#> 2   0.2042395378    0.000000000
#> 3   0.1623533844    0.000000000
#> 4   0.0598317765    0.000000000
#> 5   0.2090442749    0.000000000
#> 6   0.1291220756    0.000000000
#> 7   0.0740481550    0.000000000
#> 8   0.0978235152    0.000000000
#> 9   0.2120899092    0.000000000
#> 10  0.0880785653    0.000000000
#> 11  0.0364746151    0.000000000
#> 12  0.0676542767    0.000000000
#> 13  0.0537795028    0.000000000
#> 14  0.0275721699    0.000000000
#> 15  0.0692458442    0.000000000
#> 16  0.0574950510    0.000000000
#> 17  0.0219764367    0.000000000
#> 18  0.0296700778    0.000000000
#> 19  0.0891559413    0.000000000
#> 20  0.0380082159    0.000000000
#> 21  0.0037576026    0.000000000
#> 22  0.0069697208    0.000000000
#> 23  0.0055403463    0.000000000
#> 24  0.0059798769    0.000000000
#> 25  0.0071336836    0.000000000
#> 26  0.0121133591    0.000000000
#> 27 -0.0009970584    0.001234311
#> 28 -0.0009952259    0.001450852
#> 29  0.0224260395    0.000000000
#> 30  0.0097075082    0.000000000
#> 31  0.0009358264    0.000000000
#> 32  0.0017358006    0.000000000
#> 33  0.0013798165    0.000000000
#> 34  0.0040988117    0.000000000
#> 35  0.0017766353    0.000000000
#> 36  0.0081978912    0.000000000
#> 37  0.0140964996    0.000000000
#> 38  0.0160352766    0.000000000
#> 39  0.0159870288    0.000000000
#> 40  0.0061750624    0.000000000
#> 41  0.1512802038    0.000000000
#> 42  0.2805993358    0.000000000
#> 43  0.2230530501    0.000000000
#> 44  0.0974826350    0.000000000
#> 45  0.2872004380    0.000000000
#> 46  0.2069283770    0.000000000
#> 47  0.1091240328    0.001234311
#> 48  0.1425336437    0.001450852
#> 49  0.3396589188    0.000000000
#> 50  0.1419693517    0.000000000

#Extracts daily cohort-level output as a data frame
extract(S1, level = "cohort")
#>          date cohort           species        LAI    LAIlive     FPAR
#> 1  2001-01-01 T1_148  Pinus halepensis 0.84874773 0.84874773 92.18285
#> 2  2001-01-02 T1_148  Pinus halepensis 0.84874773 0.84874773 92.18285
#> 3  2001-01-03 T1_148  Pinus halepensis 0.84874773 0.84874773 92.18285
#> 4  2001-01-04 T1_148  Pinus halepensis 0.84874773 0.84874773 92.18285
#> 5  2001-01-05 T1_148  Pinus halepensis 0.84874773 0.84874773 92.18285
#> 6  2001-01-06 T1_148  Pinus halepensis 0.84874773 0.84874773 92.18285
#> 7  2001-01-07 T1_148  Pinus halepensis 0.84874773 0.84874773 92.18285
#> 8  2001-01-08 T1_148  Pinus halepensis 0.84874773 0.84874773 92.18285
#> 9  2001-01-09 T1_148  Pinus halepensis 0.84874773 0.84874773 92.18285
#> 10 2001-01-10 T1_148  Pinus halepensis 0.84874773 0.84874773 92.18285
#> 11 2001-01-01 T2_168      Quercus ilex 0.70557382 0.70557382 72.36365
#> 12 2001-01-02 T2_168      Quercus ilex 0.70557382 0.70557382 72.36365
#> 13 2001-01-03 T2_168      Quercus ilex 0.70557382 0.70557382 72.36365
#> 14 2001-01-04 T2_168      Quercus ilex 0.70557382 0.70557382 72.36365
#> 15 2001-01-05 T2_168      Quercus ilex 0.70557382 0.70557382 72.36365
#> 16 2001-01-06 T2_168      Quercus ilex 0.70557382 0.70557382 72.36365
#> 17 2001-01-07 T2_168      Quercus ilex 0.70557382 0.70557382 72.36365
#> 18 2001-01-08 T2_168      Quercus ilex 0.70557382 0.70557382 72.36365
#> 19 2001-01-09 T2_168      Quercus ilex 0.70557382 0.70557382 72.36365
#> 20 2001-01-10 T2_168      Quercus ilex 0.70557382 0.70557382 72.36365
#> 21 2001-01-01 S1_165 Quercus coccifera 0.03062604 0.03062604 44.32407
#> 22 2001-01-02 S1_165 Quercus coccifera 0.03062604 0.03062604 44.32407
#> 23 2001-01-03 S1_165 Quercus coccifera 0.03062604 0.03062604 44.32407
#> 24 2001-01-04 S1_165 Quercus coccifera 0.03062604 0.03062604 44.32407
#> 25 2001-01-05 S1_165 Quercus coccifera 0.03062604 0.03062604 44.32407
#> 26 2001-01-06 S1_165 Quercus coccifera 0.03062604 0.03062604 44.32407
#> 27 2001-01-07 S1_165 Quercus coccifera 0.03062604 0.03062604 44.32407
#> 28 2001-01-08 S1_165 Quercus coccifera 0.03062604 0.03062604 44.32407
#> 29 2001-01-09 S1_165 Quercus coccifera 0.03062604 0.03062604 44.32407
#> 30 2001-01-10 S1_165 Quercus coccifera 0.03062604 0.03062604 44.32407
#>    AbsorbedSWRFraction Transpiration GrossPhotosynthesis    PlantPsi
#> 1            35.076344   0.092472560          0.89344066 -0.03300000
#> 2            35.076344   0.171521046          1.55980140 -0.03300000
#> 3            35.076344   0.136344915          1.30760344 -0.03300000
#> 4            35.076344   0.059585792          0.59655088 -0.03437896
#> 5            35.076344   0.175556080          1.61688314 -0.03300000
#> 6            35.076344   0.126487190          1.30939128 -0.03336015
#> 7            35.076344   0.066703041          0.74575105 -0.03290834
#> 8            35.076344   0.087125281          0.89105532 -0.03311252
#> 9            35.076344   0.207620713          1.58392702 -0.03338318
#> 10           35.076344   0.086779849          0.85316468 -0.03387227
#> 11           30.444383   0.052754988          0.62572744 -0.03300000
#> 12           30.444383   0.097851630          1.14521586 -0.03300000
#> 13           30.444383   0.077783878          0.92105819 -0.03300000
#> 14           30.444383   0.033995859          0.40652372 -0.03383056
#> 15           30.444383   0.100153590          1.17538187 -0.03300000
#> 16           30.444383   0.072161664          0.86972119 -0.03320960
#> 17           30.444383   0.038055034          0.46739295 -0.03282505
#> 18           30.444383   0.049705553          0.59735290 -0.03301756
#> 19           30.444383   0.118447863          1.33708218 -0.03325008
#> 20           30.444383   0.049508664          0.58955200 -0.03358317
#> 21            2.366131   0.006052657          0.05005525 -0.03300000
#> 22            2.366131   0.011226660          0.08984642 -0.03300000
#> 23            2.366131   0.008924258          0.07350414 -0.03300000
#> 24            2.366131   0.003900984          0.03290302 -0.03410397
#> 25            2.366131   0.011490767          0.09258764 -0.03300000
#> 26            2.366131   0.008279523          0.07115922 -0.03328466
#> 27            2.366131   0.004365958          0.03922423 -0.03278961
#> 28            2.366131   0.005702810          0.04867900 -0.03302076
#> 29            2.366131   0.013590343          0.09935134 -0.03331559
#> 30            2.366131   0.005680839          0.04743368 -0.03372586
#>         LeafPLC      StemPLC PlantWaterBalance   LeafRWC   StemRWC      LFMC
#> 1  3.713826e-03 1.320577e-11      0.000000e+00 0.9979679 0.9998350 125.89003
#> 2  3.713826e-03 1.320577e-11      0.000000e+00 0.9979679 0.9998350 125.89003
#> 3  3.713826e-03 1.320577e-11      0.000000e+00 0.9979679 0.9998350 125.89003
#> 4  3.941519e-03 1.622580e-11     -7.556383e-05 0.9978830 0.9998281 125.88416
#> 5  3.941519e-03 1.622580e-11      7.556383e-05 0.9979679 0.9998350 125.89003
#> 6  3.941519e-03 1.622580e-11     -1.973564e-05 0.9979457 0.9998332 125.88850
#> 7  3.941519e-03 1.622580e-11      2.475861e-05 0.9979735 0.9998354 125.89042
#> 8  3.941519e-03 1.622580e-11     -1.118882e-05 0.9979610 0.9998344 125.88955
#> 9  3.941519e-03 1.622580e-11     -1.483184e-05 0.9979443 0.9998331 125.88840
#> 10 3.941519e-03 1.622580e-11     -2.680080e-05 0.9979142 0.9998306 125.88632
#> 11 3.473351e-05 1.691266e-06      0.000000e+00 0.9986794 0.9997489  93.07448
#> 12 3.473351e-05 1.691266e-06      0.000000e+00 0.9986794 0.9997489  93.07448
#> 13 3.473351e-05 1.691266e-06      0.000000e+00 0.9986794 0.9997489  93.07448
#> 14 3.673597e-05 1.810103e-06     -1.117624e-05 0.9986462 0.9997425  93.07250
#> 15 3.673597e-05 1.810103e-06      1.117624e-05 0.9986794 0.9997489  93.07448
#> 16 3.673597e-05 1.810103e-06     -2.820075e-06 0.9986710 0.9997473  93.07398
#> 17 3.673597e-05 1.810103e-06      5.173816e-06 0.9986864 0.9997503  93.07490
#> 18 3.673597e-05 1.810103e-06     -2.589997e-06 0.9986787 0.9997488  93.07444
#> 19 3.673597e-05 1.810103e-06     -3.128590e-06 0.9986694 0.9997470  93.07389
#> 20 3.673597e-05 1.810103e-06     -4.482014e-06 0.9986561 0.9997444  93.07309
#> 21 3.473351e-05 4.394058e-08      0.000000e+00 0.9987207 0.9983684  96.39176
#> 22 3.473351e-05 4.394058e-08      0.000000e+00 0.9987207 0.9983684  96.39176
#> 23 3.473351e-05 4.394058e-08      0.000000e+00 0.9987207 0.9983684  96.39176
#> 24 3.740883e-05 4.865223e-08     -2.481630e-06 0.9986779 0.9983139  96.38699
#> 25 3.740883e-05 4.865223e-08      2.481630e-06 0.9987207 0.9983684  96.39176
#> 26 3.740883e-05 4.865223e-08     -6.398948e-07 0.9987096 0.9983543  96.39053
#> 27 3.740883e-05 4.865223e-08      1.112844e-06 0.9987288 0.9983788  96.39267
#> 28 3.740883e-05 4.865223e-08     -5.196272e-07 0.9987199 0.9983674  96.39167
#> 29 3.740883e-05 4.865223e-08     -6.627544e-07 0.9987084 0.9983528  96.39040
#> 30 3.740883e-05 4.865223e-08     -9.222438e-07 0.9986925 0.9983325  96.38863
#>    PlantStress
#> 1  0.005808769
#> 2  0.005808769
#> 3  0.005808769
#> 4  0.006168100
#> 5  0.005808769
#> 6  0.005901961
#> 7  0.005785126
#> 8  0.005837834
#> 9  0.005907936
#> 10 0.006035277
#> 11 0.010612890
#> 12 0.010612890
#> 13 0.010612890
#> 14 0.010896118
#> 15 0.010612890
#> 16 0.010684328
#> 17 0.010553279
#> 18 0.010618874
#> 19 0.010698130
#> 20 0.010811714
#> 21 0.003088161
#> 22 0.003088161
#> 23 0.003088161
#> 24 0.003222915
#> 25 0.003088161
#> 26 0.003122782
#> 27 0.003062630
#> 28 0.003090684
#> 29 0.003126549
#> 30 0.003176614

#Select the output tables/variables to be extracted
extract(S1, level ="cohort", output="Plants", vars = c("PlantStress", "StemPLC"))
#>          date cohort           species PlantStress      StemPLC
#> 1  2001-01-01 T1_148  Pinus halepensis 0.005808769 1.320577e-11
#> 2  2001-01-02 T1_148  Pinus halepensis 0.005808769 1.320577e-11
#> 3  2001-01-03 T1_148  Pinus halepensis 0.005808769 1.320577e-11
#> 4  2001-01-04 T1_148  Pinus halepensis 0.006168100 1.622580e-11
#> 5  2001-01-05 T1_148  Pinus halepensis 0.005808769 1.622580e-11
#> 6  2001-01-06 T1_148  Pinus halepensis 0.005901961 1.622580e-11
#> 7  2001-01-07 T1_148  Pinus halepensis 0.005785126 1.622580e-11
#> 8  2001-01-08 T1_148  Pinus halepensis 0.005837834 1.622580e-11
#> 9  2001-01-09 T1_148  Pinus halepensis 0.005907936 1.622580e-11
#> 10 2001-01-10 T1_148  Pinus halepensis 0.006035277 1.622580e-11
#> 11 2001-01-01 T2_168      Quercus ilex 0.010612890 1.691266e-06
#> 12 2001-01-02 T2_168      Quercus ilex 0.010612890 1.691266e-06
#> 13 2001-01-03 T2_168      Quercus ilex 0.010612890 1.691266e-06
#> 14 2001-01-04 T2_168      Quercus ilex 0.010896118 1.810103e-06
#> 15 2001-01-05 T2_168      Quercus ilex 0.010612890 1.810103e-06
#> 16 2001-01-06 T2_168      Quercus ilex 0.010684328 1.810103e-06
#> 17 2001-01-07 T2_168      Quercus ilex 0.010553279 1.810103e-06
#> 18 2001-01-08 T2_168      Quercus ilex 0.010618874 1.810103e-06
#> 19 2001-01-09 T2_168      Quercus ilex 0.010698130 1.810103e-06
#> 20 2001-01-10 T2_168      Quercus ilex 0.010811714 1.810103e-06
#> 21 2001-01-01 S1_165 Quercus coccifera 0.003088161 4.394058e-08
#> 22 2001-01-02 S1_165 Quercus coccifera 0.003088161 4.394058e-08
#> 23 2001-01-03 S1_165 Quercus coccifera 0.003088161 4.394058e-08
#> 24 2001-01-04 S1_165 Quercus coccifera 0.003222915 4.865223e-08
#> 25 2001-01-05 S1_165 Quercus coccifera 0.003088161 4.865223e-08
#> 26 2001-01-06 S1_165 Quercus coccifera 0.003122782 4.865223e-08
#> 27 2001-01-07 S1_165 Quercus coccifera 0.003062630 4.865223e-08
#> 28 2001-01-08 S1_165 Quercus coccifera 0.003090684 4.865223e-08
#> 29 2001-01-09 S1_165 Quercus coccifera 0.003126549 4.865223e-08
#> 30 2001-01-10 S1_165 Quercus coccifera 0.003176614 4.865223e-08