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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, aspwb, 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): 4.73001
#> Initial soil water content (mm): 290.875
#> Initial snowpack content (mm): 0
#> Performing daily simulations
#> 
#>  [Year 2001]:
#> 
#> Final plant water content (mm): 4.72995
#> Final soil water content (mm): 294.611
#> Final snowpack content (mm): 0
#> Change in plant water content (mm): -6.10983e-05
#> Plant water balance result (mm): -6.10844e-05
#> Change in soil water content (mm): 3.7356
#> Soil water balance result (mm): 3.7356
#> 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) 3
#>   Plant extraction from soil (mm) 3  Plant water balance (mm) -0 Hydraulic redistribution (mm) 0
#>   Runoff (mm) 0 Deep drainage (mm) 21

#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  1.0728002   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  4.3636213   0.0000
#> 5  2001-01-05 1.6760567      1.884401  1.884401 0.0000  0.7547843   0.0000
#> 6  2001-01-06 1.2077028     13.359801 13.359801 0.0000 11.7252817   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  3.6738416   5.3774
#>    Infiltration InfiltrationExcess SaturationExcess Runoff DeepDrainage
#> 1     3.4241795                  0                0      0    2.7617207
#> 2     1.0728002                  0                0      0    0.1899867
#> 3     0.0000000                  0                0      0    0.0000000
#> 4     4.3636213                  0                0      0    3.2495151
#> 5     0.7547843                  0                0      0    0.1001772
#> 6    11.7252817                  0                0      0    4.1214138
#> 7     0.0000000                  0                0      0    4.1214138
#> 8     0.0000000                  0                0      0    2.5926340
#> 9     0.0000000                  0                0      0    0.0000000
#> 10    9.0512413                  0                0      0    4.1214138
#>    CapillarityRise Evapotranspiration Interception SoilEvaporation
#> 1                0          2.1073881     1.444929       0.4478948
#> 2                0          2.3231089     1.425491       0.5000000
#> 3                0          0.8014863     0.000000       0.4854151
#> 4                0          1.7311676     1.433352       0.1596697
#> 5                0          2.0365726     1.129617       0.5000000
#> 6                0          2.2354533     1.634519       0.3077228
#> 7                0          0.1546240     0.000000       0.0000000
#> 8                0          0.2019654     0.000000       0.0000000
#> 9                0          0.4812894     0.000000       0.0000000
#> 10               0          1.8368128     1.443926       0.1917182
#>    HerbTranspiration PlantExtraction Transpiration HydraulicRedistribution
#> 1        0.011023432       0.2035406     0.2035406             0.000000000
#> 2        0.020463709       0.3771538     0.3771538             0.000000000
#> 3        0.016266929       0.2998042     0.2998042             0.000000000
#> 4        0.007111348       0.1310349     0.1310349             0.000000000
#> 5        0.020945746       0.3860097     0.3860097             0.000000000
#> 6        0.015092529       0.2781190     0.2781190             0.000000000
#> 7        0.007958208       0.1466657     0.1466657             0.001658730
#> 8        0.010395243       0.1915701     0.1915701             0.001891912
#> 9        0.024773584       0.4565159     0.4565159             0.000000000
#> 10       0.010355858       0.1908126     0.1908126             0.000000000
#>         LAI   LAIherb  LAIlive LAIexpanded LAIdead       Cm LgroundPAR
#> 1  1.758585 0.1736369 1.584948    1.584948       0 1.390485   40.00754
#> 2  1.756533 0.1736369 1.584948    1.582896       0 1.389459   40.05271
#> 3  1.756533 0.1736369 1.584948    1.582896       0 1.389459   40.05271
#> 4  1.756532 0.1736369 1.584948    1.582895       0 1.389458   40.05274
#> 5  1.756459 0.1736369 1.584948    1.582823       0 1.389422   40.05433
#> 6  1.756459 0.1736369 1.584948    1.582823       0 1.389422   40.05433
#> 7  1.756459 0.1736369 1.584948    1.582823       0 1.389422   40.05433
#> 8  1.756459 0.1736369 1.584948    1.582823       0 1.389422   40.05433
#> 9  1.756459 0.1736369 1.584948    1.582823       0 1.389422   40.05433
#> 10 1.756459 0.1736369 1.584948    1.582823       0 1.389422   40.05433
#>    LgroundSWR    SWE
#> 1    50.73297 0.0000
#> 2    50.77539 0.0000
#> 3    50.77539 0.0000
#> 4    50.77541 0.0000
#> 5    50.77691 0.0000
#> 6    50.77691 0.0000
#> 7    50.77691 5.3774
#> 8    50.77691 5.3774
#> 9    50.77691 5.3774
#> 10   50.77691 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 0.3029289 0.9997828 0.9996743  68.15901 -0.03303397
#> 3  2001-01-03         1 0.2998701 0.9896877 0.9845344  67.47078 -0.03465208
#> 4  2001-01-04         1 0.3029947 1.0000000 1.0000000  68.17381 -0.03300000
#> 5  2001-01-05         1 0.3018732 0.9962985 0.9944487  67.92147 -0.03358379
#> 6  2001-01-06         1 0.3029947 1.0000000 1.0000000  68.17381 -0.03300000
#> 7  2001-01-07         1 0.3025167 0.9984223 0.9976339  68.06625 -0.03324759
#> 8  2001-01-08         1 0.3018899 0.9963536 0.9945314  67.92522 -0.03357502
#> 9  2001-01-09         1 0.3005230 0.9918423 0.9877658  67.61767 -0.03430021
#> 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 0.3027773 0.9992825 0.9989240 116.56927 -0.03311237
#> 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 0.3029154 0.9997381 0.9996072 116.62242 -0.03304097
#> 18 2001-01-08         2 0.3028091 0.9993874 0.9990813 116.58151 -0.03309592
#> 19 2001-01-09         2 0.3024933 0.9983452 0.9975182 116.45993 -0.03325974
#> 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 0.3029242 0.9997671 0.9996508  75.73104 -0.03303643
#> 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 0.3028728 0.9995975 0.9993963  75.71819 -0.03306299
#> 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 0.3028755 0.9996065 0.9994098  30.28755 -0.03306158
#> 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 0.3705006 1.2227955 1.3341314  37.05006 -0.01035437
#> 37 2001-01-07         4 0.3291213 1.0862278 1.1293177  32.91213 -0.02181811
#> 38 2001-01-08         4 0.3029947 1.0000000 1.0000000  30.29947 -0.03300000
#> 39 2001-01-09         4 0.3027780 0.9992847 0.9989273  30.27780 -0.03311202
#> 40 2001-01-10         4 0.3403507 1.1232893 1.1848997  34.03507 -0.01812380
#> 41 2001-01-01   Overall 0.3029947 1.0000000 1.0000000 290.87494 -0.03300000
#> 42 2001-01-02   Overall 0.3029793 0.9999491 0.9999237 290.86014 -0.03300796
#> 43 2001-01-03   Overall 0.3021444 0.9971937 0.9957913 290.05865 -0.03344817
#> 44 2001-01-04   Overall 0.3029947 1.0000000 1.0000000 290.87494 -0.03300000
#> 45 2001-01-05   Overall 0.3027319 0.9991325 0.9986989 290.62259 -0.03313682
#> 46 2001-01-06   Overall 0.3100266 1.0232079 1.0348053 297.62552 -0.03064108
#> 47 2001-01-07   Overall 0.3055724 1.0085073 1.0127585 293.34949 -0.03190968
#> 48 2001-01-08   Overall 0.3026613 0.9988997 0.9983498 290.55489 -0.03317324
#> 49 2001-01-09   Overall 0.3021600 0.9972451 0.9958684 290.07360 -0.03343697
#> 50 2001-01-10   Overall 0.3068860 1.0128426 1.0192604 294.61054 -0.03145040
#>        PlantExt HydraulicInput
#> 1   0.147990816    0.000000000
#> 2   0.274284815    0.000000000
#> 3   0.187989165    0.000000000
#> 4   0.080956152    0.000000000
#> 5   0.280725302    0.000000000
#> 6   0.173452219    0.000000000
#> 7   0.100307500    0.000000000
#> 8   0.131558125    0.000000000
#> 9   0.284975093    0.000000000
#> 10  0.118452195    0.000000000
#> 11  0.049247162    0.000000000
#> 12  0.091195256    0.000000000
#> 13  0.082541033    0.000000000
#> 14  0.036627132    0.000000000
#> 15  0.093336613    0.000000000
#> 16  0.077398069    0.000000000
#> 17  0.029984218    0.000000000
#> 18  0.040173749    0.000000000
#> 19  0.119816786    0.000000000
#> 20  0.050998413    0.000000000
#> 21  0.005050851    0.000000000
#> 22  0.009354689    0.000000000
#> 23  0.017435555    0.000000000
#> 24  0.008144219    0.000000000
#> 25  0.009574346    0.000000000
#> 26  0.016263052    0.000000000
#> 27 -0.001310085    0.001658730
#> 28 -0.001225646    0.001891912
#> 29  0.030181021    0.000000000
#> 30  0.013062366    0.000000000
#> 31  0.001251763    0.000000000
#> 32  0.002319017    0.000000000
#> 33  0.011838459    0.000000000
#> 34  0.005307351    0.000000000
#> 35  0.002373470    0.000000000
#> 36  0.011005677    0.000000000
#> 37  0.017684115    0.000000000
#> 38  0.021063890    0.000000000
#> 39  0.021542956    0.000000000
#> 40  0.008299633    0.000000000
#> 41  0.203540592    0.000000000
#> 42  0.377153777    0.000000000
#> 43  0.299804212    0.000000000
#> 44  0.131034853    0.000000000
#> 45  0.386009732    0.000000000
#> 46  0.278119017    0.000000000
#> 47  0.146665748    0.000000000
#> 48  0.191570119    0.000000000
#> 49  0.456515856    0.000000000
#> 50  0.190812607    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 0.70352348 0.70557382 72.38566
#> 13 2001-01-03 T2_168      Quercus ilex 0.70352348 0.70557382 72.38566
#> 14 2001-01-04 T2_168      Quercus ilex 0.70352206 0.70557382 72.38566
#> 15 2001-01-05 T2_168      Quercus ilex 0.70344991 0.70557382 72.38566
#> 16 2001-01-06 T2_168      Quercus ilex 0.70344991 0.70557382 72.38566
#> 17 2001-01-07 T2_168      Quercus ilex 0.70344991 0.70557382 72.38566
#> 18 2001-01-08 T2_168      Quercus ilex 0.70344991 0.70557382 72.38566
#> 19 2001-01-09 T2_168      Quercus ilex 0.70344991 0.70557382 72.38566
#> 20 2001-01-10 T2_168      Quercus ilex 0.70344991 0.70557382 72.38566
#> 21 2001-01-01 S1_165 Quercus coccifera 0.03062604 0.03062604 44.32407
#> 22 2001-01-02 S1_165 Quercus coccifera 0.03062498 0.03062604 44.37408
#> 23 2001-01-03 S1_165 Quercus coccifera 0.03062498 0.03062604 44.37408
#> 24 2001-01-04 S1_165 Quercus coccifera 0.03062498 0.03062604 44.37408
#> 25 2001-01-05 S1_165 Quercus coccifera 0.03062489 0.03062604 44.37408
#> 26 2001-01-06 S1_165 Quercus coccifera 0.03062489 0.03062604 44.37408
#> 27 2001-01-07 S1_165 Quercus coccifera 0.03062489 0.03062604 44.37408
#> 28 2001-01-08 S1_165 Quercus coccifera 0.03062489 0.03062604 44.37408
#> 29 2001-01-09 S1_165 Quercus coccifera 0.03062489 0.03062604 44.37408
#> 30 2001-01-10 S1_165 Quercus coccifera 0.03062489 0.03062604 44.37408
#>    AbsorbedSWRFraction Transpiration GrossPhotosynthesis    PlantPsi
#> 1            35.076344   0.125013855          1.21341578 -0.03300000
#> 2            35.082685   0.231814863          2.10348703 -0.03300000
#> 3            35.082685   0.184272331          1.77396699 -0.03302923
#> 4            35.082685   0.080536010          0.81308802 -0.03443797
#> 5            35.082685   0.237258112          2.18356243 -0.03300000
#> 6            35.082685   0.170941003          1.79060063 -0.03350265
#> 7            35.082685   0.090146466          1.02742267 -0.03291028
#> 8            35.082685   0.117746145          1.21703794 -0.03316782
#> 9            35.082685   0.280590291          2.08857051 -0.03350647
#> 10           35.082685   0.117278013          1.16049105 -0.03415235
#> 11           30.444383   0.072474080          0.87313959 -0.03300000
#> 12           30.386677   0.134110679          1.59099654 -0.03300000
#> 13           30.386677   0.106606397          1.28193415 -0.03301702
#> 14           30.386677   0.046597341          0.56671908 -0.03388137
#> 15           30.386677   0.137259734          1.63354373 -0.03300000
#> 16           30.386677   0.098897800          1.21375667 -0.03329260
#> 17           30.386677   0.052152899          0.65412471 -0.03283336
#> 18           30.386677   0.068120642          0.83326878 -0.03305700
#> 19           30.386677   0.162334069          1.84698419 -0.03333137
#> 20           30.386677   0.067853365          0.82125418 -0.03377234
#> 21            2.366131   0.006052657          0.05005525 -0.03300000
#> 22            2.367553   0.011228235          0.08989595 -0.03300000
#> 23            2.367553   0.008925484          0.07354445 -0.03302310
#> 24            2.367553   0.003901502          0.03292091 -0.03415838
#> 25            2.367553   0.011491885          0.09263469 -0.03300000
#> 26            2.367553   0.008280215          0.07119441 -0.03339730
#> 27            2.367553   0.004366382          0.03924416 -0.03279120
#> 28            2.367553   0.005703332          0.04870346 -0.03306831
#> 29            2.367553   0.013591496          0.09940060 -0.03341750
#> 30            2.367553   0.005681228          0.04745642 -0.03395976
#>         LeafPLC      StemPLC PlantWaterBalance   LeafRWC   StemRWC      LFMC
#> 1  0.000000e+00 0.000000e+00      0.000000e+00 0.9979679 0.9998350 125.86544
#> 2  0.000000e+00 0.000000e+00      0.000000e+00 0.9979679 0.9998350 125.86544
#> 3  0.000000e+00 0.000000e+00     -1.319457e-06 0.9979661 0.9998348 125.86529
#> 4  0.000000e+00 0.000000e+00     -6.358830e-05 0.9978794 0.9998278 125.85824
#> 5  0.000000e+00 0.000000e+00      6.490775e-05 0.9979679 0.9998350 125.86544
#> 6  0.000000e+00 0.000000e+00     -2.268898e-05 0.9979370 0.9998325 125.86292
#> 7  0.000000e+00 0.000000e+00      2.673892e-05 0.9979734 0.9998354 125.86589
#> 8  0.000000e+00 0.000000e+00     -1.162512e-05 0.9979576 0.9998341 125.86460
#> 9  0.000000e+00 0.000000e+00     -1.528648e-05 0.9979367 0.9998324 125.86290
#> 10 0.000000e+00 0.000000e+00     -2.915406e-05 0.9978970 0.9998292 125.85967
#> 11 2.905929e-03 3.681226e-09      0.000000e+00 0.9986797 0.9997500  93.05186
#> 12 2.905929e-03 3.681226e-09      0.000000e+00 0.9986797 0.9997500  92.91408
#> 13 2.907933e-03 3.687988e-09     -1.793122e-07 0.9986790 0.9997498  92.91402
#> 14 3.010191e-03 4.043372e-09     -9.108700e-06 0.9986445 0.9997433  92.91128
#> 15 3.010191e-03 4.043372e-09      9.287453e-06 0.9986797 0.9997500  92.90913
#> 16 3.010191e-03 4.043372e-09     -3.083267e-06 0.9986680 0.9997477  92.90824
#> 17 3.010191e-03 4.043372e-09      4.839227e-06 0.9986864 0.9997512  92.90964
#> 18 3.010191e-03 4.043372e-09     -2.356565e-06 0.9986774 0.9997495  92.90896
#> 19 3.010191e-03 4.043372e-09     -2.891243e-06 0.9986665 0.9997475  92.90812
#> 20 3.010191e-03 4.043372e-09     -4.646707e-06 0.9986488 0.9997441  92.90677
#> 21 3.473351e-05 4.394058e-08      0.000000e+00 0.9987207 0.9983684  96.38420
#> 22 3.473351e-05 4.394058e-08      0.000000e+00 0.9987207 0.9983684  96.38552
#> 23 3.478835e-05 4.403586e-08     -2.237386e-08 0.9987198 0.9983673  96.38542
#> 24 3.754355e-05 4.889290e-08     -1.099604e-06 0.9986758 0.9983112  96.38026
#> 25 3.754355e-05 4.889290e-08      1.121976e-06 0.9987207 0.9983684  96.38563
#> 26 3.754355e-05 4.889290e-08     -3.848146e-07 0.9987053 0.9983488  96.38382
#> 27 3.754355e-05 4.889290e-08      5.870562e-07 0.9987288 0.9983787  96.38658
#> 28 3.754355e-05 4.889290e-08     -2.684088e-07 0.9987180 0.9983650  96.38532
#> 29 3.754355e-05 4.889290e-08     -3.382177e-07 0.9987045 0.9983478  96.38373
#> 30 3.754355e-05 4.889290e-08     -5.252128e-07 0.9986835 0.9983210  96.38126
#>    PlantStress
#> 1  0.004613739
#> 2  0.004613739
#> 3  0.004619875
#> 4  0.004918765
#> 5  0.004613739
#> 6  0.004719625
#> 7  0.004594923
#> 8  0.004649003
#> 9  0.004720434
#> 10 0.004857666
#> 11 0.006282261
#> 12 0.006282261
#> 13 0.006285972
#> 14 0.006474811
#> 15 0.006282261
#> 16 0.006346104
#> 17 0.006245937
#> 18 0.006294691
#> 19 0.006354571
#> 20 0.006450953
#> 21 0.003088161
#> 22 0.003088161
#> 23 0.003090967
#> 24 0.003229591
#> 25 0.003088161
#> 26 0.003136505
#> 27 0.003062823
#> 28 0.003096461
#> 29 0.003138968
#> 30 0.003205238

#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 0.004613739 0.000000e+00
#> 2  2001-01-02 T1_148  Pinus halepensis 0.004613739 0.000000e+00
#> 3  2001-01-03 T1_148  Pinus halepensis 0.004619875 0.000000e+00
#> 4  2001-01-04 T1_148  Pinus halepensis 0.004918765 0.000000e+00
#> 5  2001-01-05 T1_148  Pinus halepensis 0.004613739 0.000000e+00
#> 6  2001-01-06 T1_148  Pinus halepensis 0.004719625 0.000000e+00
#> 7  2001-01-07 T1_148  Pinus halepensis 0.004594923 0.000000e+00
#> 8  2001-01-08 T1_148  Pinus halepensis 0.004649003 0.000000e+00
#> 9  2001-01-09 T1_148  Pinus halepensis 0.004720434 0.000000e+00
#> 10 2001-01-10 T1_148  Pinus halepensis 0.004857666 0.000000e+00
#> 11 2001-01-01 T2_168      Quercus ilex 0.006282261 3.681226e-09
#> 12 2001-01-02 T2_168      Quercus ilex 0.006282261 3.681226e-09
#> 13 2001-01-03 T2_168      Quercus ilex 0.006285972 3.687988e-09
#> 14 2001-01-04 T2_168      Quercus ilex 0.006474811 4.043372e-09
#> 15 2001-01-05 T2_168      Quercus ilex 0.006282261 4.043372e-09
#> 16 2001-01-06 T2_168      Quercus ilex 0.006346104 4.043372e-09
#> 17 2001-01-07 T2_168      Quercus ilex 0.006245937 4.043372e-09
#> 18 2001-01-08 T2_168      Quercus ilex 0.006294691 4.043372e-09
#> 19 2001-01-09 T2_168      Quercus ilex 0.006354571 4.043372e-09
#> 20 2001-01-10 T2_168      Quercus ilex 0.006450953 4.043372e-09
#> 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 0.003090967 4.403586e-08
#> 24 2001-01-04 S1_165 Quercus coccifera 0.003229591 4.889290e-08
#> 25 2001-01-05 S1_165 Quercus coccifera 0.003088161 4.889290e-08
#> 26 2001-01-06 S1_165 Quercus coccifera 0.003136505 4.889290e-08
#> 27 2001-01-07 S1_165 Quercus coccifera 0.003062823 4.889290e-08
#> 28 2001-01-08 S1_165 Quercus coccifera 0.003096461 4.889290e-08
#> 29 2001-01-09 S1_165 Quercus coccifera 0.003138968 4.889290e-08
#> 30 2001-01-10 S1_165 Quercus coccifera 0.003205238 4.889290e-08