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Model evaluation in experimental plots

Miquel De Cáceres (CREAF), Víctor Granda (CREAF), Rafael Poyatos (CREAF), Teresa Gimeno (CREAF), Nicolas Martin-StPaul (INRAE), Antoine Cabon (WSL), Vincenzo Saponaro (U. Tuscia)

2026-11-10

Source: vignettes/evaluation/StandLevelEvaluation.Rmd
StandLevelEvaluation.Rmd

Introduction

This document presents medfate (ver. 5.2.1) model evaluation results at stand-level, using data from a set of 7 experimental forest plots. The main source of observed data are SAPFLUXNET database (Poyatos et al. 2021) and FLUXNET 2015 dataset (Pastorello et al. 2020).

List of sites

The table below lists the experimental forest plots used in the report and the data sources available.

Country Plot Stand SAPFLUXNET FLUXNET/ICOS
Australia Wombat Mixed eucalyptus forest AUS_WOM AU-Wom
France Puéchabon Dense evergreen forest dominated by Q. ilex FRA_PUE FR-Pue
France Hesse Naturally regenerated, managed beech forest FRA_HES_HE2_NON FR-Hes
France Font-Blanche Mixed forest with P. halepensis and Q. ilex FR-Fbn
Israel Yatir Pinus halepensis managed plantation ISR_YAT_YAT IL-Yat
Portugal Mitra II Evergreen forest dominated by Quercus ilex subsp. rotundifolia PRT_MIT PT-Mi1
Spain Prades (Tillar valley) Mixed forest with P. sylvestris (overstory) Q. ilex (midstory) ESP_TIL_MIX

Parametrization and simulations

Forest water balance simulations (i.e. function spwb()) have been conducted using the three transpiration modes (i.e. Granier, Sperry or Sureau).

The set of control parameters modified from defaults in simulations are the following:

transpirationMode soilDomains rhizosphereOverlap stemCavitationRecovery leafCavitationRecovery subdailyResults verbose segmentedXylemVulnerability
Granier dual partial rate total FALSE FALSE NA
Sperry dual partial rate total FALSE FALSE TRUE
Sureau dual partial rate rate FALSE FALSE FALSE

Soil characteristics have been tuned to modulate total available water and fit observed saturation and residual moisture values, but calibration exercises have not been conducted. When available, however, local leaf area to sapwood area ratios have been used. Thus, the evaluation exercise is meant to be more or less representative of simulations with default species-level trait data.

Evaluation variables

The table below lists the set of predicted variables that are evaluated and the data sources used:

Variable Level Observation source Units
Sensible heat turbulent flux Stand FLUXNET / ICOS MJ/m2
Latent heat turbulent flux Stand FLUXNET / ICOS MJ/m2
Gross primary productivity Stand FLUXNET / ICOS gC/m2
Soil moisture content (topsoil) Stand SAPFLUXNET / FLUXNET / ICOS % vol.
Transpiration per leaf area Plant SAPFLUXNET l/m2
Predawn/midday leaf water potential Plant SAPFLUXNET (addition) MPa

Structure of site reports

The following contains as many sections as forest stands included in the evaluation. The following sub-sections are reported for each stand:

  1. General information: General information about the site, topography, soil and climate, as well as data sources used.
  2. Model inputs: Description of model inputs (vegetation, soil, custom species parameters and parameterization remarks).
  3. Climate: Graphical description of climate inputs and predicted soil/canopy temperatures (under Sperry).
  4. Evaluation results: Evaluation results are presented for variables with available measurements.

Wombat

General information

Attribute Value
Plot name Wombat
Country Australia
SAPFLUXNET code AUS_WOM
SAPFLUXNET contributor (affiliation) Anne Griebel (U. of Melbourne)
FLUXNET/ICOS code AU-Wom
FLUXNET/ICOS contributor (affiliation) Stefan Arndt (U. of Melbourne)
Latitude (º) -37.4222
Longitude (º) 144.0944
Elevation (m) 705
Slope (º) 0
Aspect (º) 0
Parent material
Soil texture Loam
MAT (ºC) 10.9
MAP (mm) 1024
Forest stand Mixed eucalyptus forest
Stand LAI 2.2
Stand description DOI 10.1016/j.foreco.2016.12.017
Species simulated Eucalyptus obliqua, E. radiata, E. rubida
Species parameter table SpParamsAU
Simulation period 2013-2015
Evaluation period 2013-2015

Model inputs

Vegetation

Species DBH Height N Z50 Z95 LAI
Eucalyptus obliqua 23 2200 712.60 300 1000 1.540
Eucalyptus rubida 23 2200 213.78 300 1000 0.462
Eucalyptus radiata 23 2200 91.62 300 1000 0.198

Soil

widths clay sand om bd rfc
100 24.30 55.13333 8.340 0.9866667 13.60
200 25.00 50.00000 6.000 1.1000000 14.00
700 35.25 44.60000 4.465 1.2100000 14.35
1000 33.10 45.90000 4.160 1.2800000 50.00
2000 33.10 45.90000 0.000 1.3500000 90.00

Custom traits

Species Al2As
Eucalyptus obliqua 4869.026
Eucalyptus rubida 4869.026
Eucalyptus radiata 4869.026

Custom control

Remarks

Title Remark
Soil Taken from SoilGrids
Vegetation No understory or secondary species considered.
Weather
Sapflow Species-level Huber value used for scaling
Eddy covariance Variables taken: LE_CORR and GPP_NT_VUT_REF

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
WOMBAT sperry 730 -1.428597 -41.34084 3.939007 113.9873 0.5214748 -0.0934866 0.0379017
WOMBAT sureau 730 -1.154098 -33.39737 3.859558 111.6882 0.5272039 -0.0655767 0.0573070

Latent heat turbulent flux

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
WOMBAT sperry 730 -2.548271 -44.20023 2.776971 48.16708 0.7273581 -0.1820938 -0.1081770
WOMBAT sureau 730 -2.893796 -50.19343 3.098756 53.74849 0.6982259 -0.3956881 -0.2365883

Gross primary productivity

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
WOMBAT granier 730 -2.3748524 -43.06430 2.457119 44.55607 0.7457413 -0.3613175 -0.1745626
WOMBAT sperry 730 -0.7192459 -13.04242 1.411707 25.59914 0.7390668 0.4528057 0.3251696
WOMBAT sureau 730 -0.9227422 -16.73251 1.482332 26.87981 0.7519281 0.4112031 0.2914092

Soil water content (SWC.1)

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
WOMBAT granier 1035 -0.0597896 -28.46473 0.0729993 34.75363 0.5339191 -0.6611362 -0.4258494
WOMBAT sperry 1035 -0.0652402 -31.05969 0.0755127 35.95021 0.5878526 -0.7682443 -0.4749420
WOMBAT sureau 1035 -0.0622939 -29.65699 0.0739775 35.21934 0.5504254 -0.7051228 -0.4449561

Transpiration per leaf area

Site Cohort Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
WOMBAT T1_7425 granier 1035 -0.1056988 -27.507763 0.1201993 31.28146 0.9083485 0.6208399 0.4036119
WOMBAT T1_7425 sperry 1035 0.0340388 8.858477 0.1359142 35.37120 0.9247038 0.3277914 0.3256402
WOMBAT T1_7425 sureau 1035 -0.0924958 -24.071727 0.1460897 38.01934 0.9072630 0.4738413 0.2751528
WOMBAT T2_7520 granier 1035 -0.0796844 -18.676560 0.1189804 27.88682 0.9024800 0.7349296 0.5443132
WOMBAT T2_7520 sperry 1035 -0.1522706 -35.689436 0.1581740 37.07310 0.9337686 0.5582763 0.3942041
WOMBAT T2_7520 sureau 1035 -0.0372981 -8.741981 0.1196180 28.03627 0.9409981 0.7340182 0.5418711

Puéchabon

General information

Attribute Value
Plot name Puéchabon
Country France
SAPFLUXNET code FRA_PUE
SAPFLUXNET contributor (affiliation) Jean-Marc Limousin (CEFE-CNRS)
FLUXNET/ICOS code FR-Pue
FLUXNET/ICOS contributor (affiliation) Jean-Marc Limousin (CEFE-CNRS)
Latitude (º) 43.74
Longitude (º) 3.6
Elevation (m) 270
Slope (º) 0
Aspect (º) 0
Parent material Limestone
Soil texture Silty clay loam
MAT (ºC) 13.4
MAP (mm) 720
Forest stand Dense evergreen forest dominated by Q. ilex
Stand LAI 2
Stand description DOI 10.1111/j.1365-2486.2009.01852.x
Species simulated Quercus ilex, Buxus sempervirens
Species parameter table SpParamsFR
Simulation period 2004-2006
Evaluation period 2004-2006

Model inputs

Vegetation

Species DBH Height N Z50 Z95 LAI Cover
Quercus ilex 9.1156 530.2222 1750 300 NA 2.0 NA
Buxus sempervirens NA 200.0000 NA NA NA 0.2 13
Herbaceous layer NA 20.0000 NA NA NA NA 10

Soil

widths clay sand om bd rfc VG_theta_sat VG_theta_res VG_n VG_alpha Ksat
200 39 26 6 1.45 75 0.5 0.098 1.55 5.099887 1107.446
800 39 26 3 1.45 82 0.5 0.098 1.55 5.099887 1107.446
3000 39 26 1 1.45 93 0.5 0.098 1.55 5.099887 1107.446

Custom traits

Species Hmax Hmed SLA VCleaf_kmax Kmax_stemxylem LeafEPS LeafPI0 LeafAF StemEPS StemPI0 StemAF Al2As
Quercus ilex 1240 450 4.55 2.63 0.40 15 -2.5 0.4 15 -2.5 0.4 1540.671
Buxus sempervirens NA NA 5.19 2.00 0.15 NA NA NA NA NA NA NA

Custom control

Remarks

Title Remark
Soil Adjusted theta_res and theta_sat
Vegetation Using B. sempervirens as understory

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAPUE sperry 1096 -2.788454 -78.77299 4.506343 127.3029 0.5372910 -0.1300551 0.0074406
FRAPUE sureau 1096 -2.476774 -69.96812 4.378719 123.6975 0.5083781 -0.0929410 0.0355510

Latent heat turbulent flux

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAPUE sperry 1096 -0.3664675 -11.51889 1.472239 46.27577 0.5749652 0.283938 0.2283197
FRAPUE sureau 1096 -0.6041928 -18.99113 1.493069 46.93050 0.6221842 0.289119 0.2174016

Gross primary productivity

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAPUE granier 1096 -0.2338209 -7.0875645 1.1177309 33.88058 0.6984496 0.4152787 0.2893788
FRAPUE sperry 1096 0.2610572 7.9131482 0.8559000 25.94398 0.8156334 0.6317470 0.4558434
FRAPUE sureau 1096 -0.0019782 -0.0599628 0.8430483 25.55442 0.8128794 0.6501605 0.4640141

Soil water content (SWC.2)

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAPUE granier 1021 0.1203452 75.55049 0.1309547 82.21090 -0.0636748 -11.81451 -2.414055
FRAPUE sperry 1021 0.1368202 85.89316 0.1439937 90.39657 0.5572701 -11.51199 -2.753990
FRAPUE sureau 1021 0.1203675 75.56447 0.1336028 83.87336 0.2564172 -11.20860 -2.483094

Transpiration per leaf area

Site Cohort Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAPUE T1_2853 granier 1096 -0.0894729 -26.083081 0.1349603 39.34352 0.7351244 0.3533474 0.2544205
FRAPUE T1_2853 sperry 1096 0.0283133 8.253885 0.1417679 41.32809 0.7853223 0.2306710 0.2168118
FRAPUE T1_2853 sureau 1096 -0.0123288 -3.594093 0.1472332 42.92133 0.8185690 0.1404498 0.1866192

Leaf water potential

Site Cohort WP Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAPUE T1_2853 Midday sperry 28 0.0353417 1.132665 0.4883659 15.65163 0.7700777 0.2400240 0.1819789
FRAPUE T1_2853 Midday sureau 28 0.0390338 1.250993 0.7853605 25.17001 0.8077734 -0.8191437 -0.3154921
FRAPUE T1_2853 Predawn sperry 28 -0.3364556 -23.001998 0.5252864 35.91154 0.8582439 0.6428987 0.4475799
FRAPUE T1_2853 Predawn sureau 28 -0.5537484 -37.857360 0.7987570 54.60753 0.8889080 0.1231106 0.1599832

Hesse

General information

Attribute Value
Plot name Hesse
Country France
SAPFLUXNET code FRA_HES_HE2_NON
SAPFLUXNET contributor (affiliation) André Granier (INRAE)
FLUXNET/ICOS code FR-Hes
FLUXNET/ICOS contributor (affiliation) Matthias Cuntz (INRAE)
Latitude (º) 48.6742
Longitude (º) 7.0647
Elevation (m) 300
Slope (º) 0
Aspect (º) 0
Parent material
Soil texture Silt loam
MAT (ºC) 10
MAP (mm) 1003
Forest stand Naturally regenerated, managed beech forest
Stand LAI 7
Stand description DOI 10.1051/forest:2008052
Species simulated Fagus sylvatica
Species parameter table SpParamsFR
Simulation period 2001-2003
Evaluation period 2001-2003

Model inputs

Vegetation

Species DBH Height N Z50 Z95 LAI Cover
Fagus sylvatica 12.91 1300 3203 300 1200 7 NA
Herbaceous layer NA 20 NA NA NA NA 5

Soil

widths sand clay om rfc bd VG_theta_sat
200 8 25 6 9 1.16 0.46
300 8 35 3 13 1.37 0.43
300 8 45 1 15 1.58 0.38
400 8 45 0 40 1.58 0.35
2100 8 45 0 90 1.58 0.30

Custom traits

Species Al2As
Fagus sylvatica 2076.12

Custom control

Remarks

Title Remark
Soil VG_theta_sat modified
Vegetation No woody understory but 5% herbaceous layer
Sapflow Scaling using species-level Huber value

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAHES sperry 1070 -5.727179 -390.0932 7.017742 477.9968 0.0350677 -3.610564 -1.612985
FRAHES sureau 1070 -5.464969 -372.2333 6.764545 460.7509 0.0382443 -3.281673 -1.518710

Latent heat turbulent flux

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAHES sperry 1064 3.827485 161.8593 4.274919 180.7807 0.7301404 -3.884944 -0.8881039
FRAHES sureau 1064 3.130204 132.3722 3.564672 150.7453 0.7282712 -2.227414 -0.5744092

Soil water content (SWC.1)

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAHES granier 43 -0.0796750 -24.53607 0.0800778 24.66010 0.9290080 -0.7511546 -0.3820104
FRAHES sperry 43 -0.1088291 -33.51413 0.1088291 33.51413 0.8474224 -1.9822748 -0.8782110
FRAHES sureau 43 -0.0950645 -29.27530 0.0950645 29.27530 0.9009644 -1.2882299 -0.6406566

Soil water content (SWC.2)

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAHES granier 43 -0.0297155 -8.672327 0.0322366 9.408076 0.9340662 0.6221582 0.4049036
FRAHES sperry 43 -0.0747924 -21.827784 0.0747931 21.827977 0.8733004 -0.9832441 -0.3807022
FRAHES sureau 43 -0.0522463 -15.247813 0.0522463 15.247813 0.9379617 0.0926402 0.0355181

Soil water content (SWC.3)

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAHES granier 43 -0.0018129 -0.5408908 0.0147495 4.400515 0.9191030 0.6864542 0.4803363
FRAHES sperry 43 -0.0644969 -19.2426400 0.0729113 21.753072 0.8156978 -7.2070200 -1.5688545
FRAHES sureau 43 -0.0377715 -11.2691271 0.0468131 13.966675 0.9475137 -2.3118763 -0.6493466

Soil water content (SWC.4)

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAHES granier 43 -0.0181828 -5.61103 0.0305763 9.435528 0.8245197 -7.797841 -2.083737
FRAHES sperry 43 -0.0800237 -24.69446 0.0895263 27.626869 0.7023842 -82.454268 -8.029066
FRAHES sureau 43 -0.0596654 -18.41211 0.0698058 21.541328 0.8405228 -51.652192 -6.040178

Soil water content (SWC.5)

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAHES granier 43 -0.0068055 -2.300378 0.0090345 3.053820 0.5126269 -12.482725 -2.782743
FRAHES sperry 43 -0.0042129 -1.424030 0.0058803 1.987647 0.4514602 -4.524014 -1.462084
FRAHES sureau 43 -0.0049546 -1.674744 0.0068244 2.306755 0.4403733 -6.372462 -1.857360

Transpiration per leaf area

Site Cohort Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FRAHES T1_1395 granier 559 -0.2027990 -40.085466 0.2689451 53.15998 0.8011775 0.1320789 0.1716450
FRAHES T1_1395 sperry 559 -0.0278057 -5.496101 0.2447624 48.38000 0.6569234 0.3618496 0.2461281
FRAHES T1_1395 sureau 559 -0.0885053 -17.494059 0.2058597 40.69045 0.7549163 0.4985803 0.3659490

Font-Blanche

General information

Attribute Value
Plot name Font-Blanche
Country France
SAPFLUXNET code
SAPFLUXNET contributor (affiliation)
FLUXNET/ICOS code FR-Fbn
FLUXNET/ICOS contributor (affiliation) Nicolas Martin-StPaul (INRAE)
Latitude (º) 43.24
Longitude (º) 5.68
Elevation (m) 420
Slope (º) 0
Aspect (º) 0
Parent material Cretaceous limestone
Soil texture Clay loam
MAT (ºC) 13.5
MAP (mm) 722
Forest stand Mixed forest with P. halepensis and Q. ilex
Stand LAI 2
Stand description DOI 10.1016/j.agrformet.2021.108472
Species simulated Quercus ilex, Pinus halepensis, Phillyrea latifolia
Species parameter table SpParamsFR
Simulation period 2014-2018
Evaluation period 2014-2018

Model inputs

Vegetation

Species DBH Height N Z50 Z95 LAI Cover
Phillyrea latifolia 2.587859 323.0000 1248 200 1500 0.2238497 NA
Pinus halepensis 26.759914 1195.7667 256 200 800 1.0767397 NA
Quercus ilex 6.220031 495.5532 3104 300 2000 1.3994106 NA
Herbaceous layer NA 10.0000 NA NA NA NA 5

Soil

widths clay sand om bd rfc
300 39 26 6 1.45 50
700 39 26 3 1.45 65
1000 39 26 1 1.45 90
2500 39 26 1 1.45 95

Custom traits

Species GrowthForm Hmax Hmed SLA Kmax_stemxylem LeafEPS LeafPI0 LeafAF StemEPS StemPI0 StemAF Al2As
Phillyrea latifolia Tree/Shrub NA NA NA NA 12.38 -2.13 0.5 12.38 -2.13 0.4 NA
Pinus halepensis Tree NA NA NA 0.15 5.31 -1.50 0.6 5.00 -1.65 0.4 631.000
Quercus ilex Tree 1240 450 4.55 0.40 15.00 -2.50 0.4 15.00 -2.50 0.4 1540.671

Custom control

Remarks

Title Remark
Soil Equal to Puechabon
Vegetation
Weather Missing values for some dates

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FONBLA sperry 1004 -2.647380 -54.00666 4.179046 85.25272 0.6494219 0.0612005 0.0968037
FONBLA sureau 1004 -2.752923 -56.15976 4.230436 86.30109 0.6405641 0.0350834 0.0856970

Latent heat turbulent flux

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FONBLA sperry 1026 -0.6182866 -21.08741 1.490807 50.84577 0.4709131 -0.0635334 0.0143975
FONBLA sureau 1026 -0.5880806 -20.05720 1.755006 59.85661 0.3279738 -0.3886882 -0.1602699

Soil water content (SWC)

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FONBLA granier 1760 -0.1477678 -33.15614 0.1477992 33.16317 0.9106894 -0.3352652 -0.1563538
FONBLA sperry 1760 -0.1454930 -32.64571 0.1462775 32.82174 0.8941807 -0.3594269 -0.1444487
FONBLA sureau 1760 -0.1397354 -31.35382 0.1409238 31.62047 0.8791511 -0.2788332 -0.1025622

Transpiration per leaf area

Site Cohort Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FONBLA T2_2851 granier 300 0.1541951 74.971499 0.1731620 84.19343 0.5507077 -3.0829734 -0.7498912
FONBLA T2_2851 sperry 300 0.0312223 15.180677 0.1234621 60.02874 0.3457555 -1.1520577 -0.2476481
FONBLA T2_2851 sureau 300 0.0077858 3.785546 0.1413387 68.72054 0.2052223 -1.5554610 -0.4283000
FONBLA T3_3094 granier 309 0.0053793 1.858406 0.0659809 22.79459 0.8714204 0.7529461 0.5504859
FONBLA T3_3094 sperry 309 0.1250562 43.203483 0.1806541 62.41101 0.7473737 -0.7185427 -0.2307581
FONBLA T3_3094 sureau 309 0.0511181 17.659882 0.1203943 41.59291 0.7944753 0.0100109 0.1797792

Leaf water potential

Site Cohort WP Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
FONBLA T2_2851 Midday sperry 3 1.4902646 55.86165 1.4902646 55.86165 0.9247263 -43.3036657 -6.9677515
FONBLA T2_2851 Midday sureau 3 1.8407245 68.99842 1.8407245 68.99842 0.7930637 -65.7988895 -8.8414971
FONBLA T2_2851 Predawn sperry 3 1.6704950 85.88663 1.6704950 85.88663 0.9532199 -14.4585393 -3.6982672
FONBLA T2_2851 Predawn sureau 3 1.6985609 87.32961 1.6985609 87.32961 0.9132951 -15.0418571 -3.7772026
FONBLA T3_3094 Midday sperry 3 -0.4733308 -17.34518 0.4733308 17.34518 0.9916006 -0.8989851 -0.4622347
FONBLA T3_3094 Midday sureau 3 1.0199678 37.37667 1.0199678 37.37667 0.9228577 -8.6299996 -2.1509302
FONBLA T3_3094 Predawn sperry 3 -0.7899985 -52.04968 0.7899985 52.04968 1.0000000 -1.7998101 -0.7849338
FONBLA T3_3094 Predawn sureau 3 0.4432434 29.20344 0.5490569 36.17505 0.9533009 -0.4212948 -0.2405470

Yatir

General information

Attribute Value
Plot name Yatir
Country Israel
SAPFLUXNET code ISR_YAT_YAT
SAPFLUXNET contributor (affiliation) Fyodor Tatarinov (Weizmann Institute of Science)
FLUXNET/ICOS code IL-Yat
FLUXNET/ICOS contributor (affiliation) Dan Yakir (Weizmann Institute of Science)
Latitude (º) 31.3449993133544
Longitude (º) 35.0514984130859
Elevation (m) 650
Slope (º) 0
Aspect (º) 0
Parent material Chalk and limestone
Soil texture Clay loam
MAT (ºC) 17.9
MAP (mm) 294
Forest stand Pinus halepensis managed plantation
Stand LAI 1.5
Stand description DOI 10.1111/nph.13597
Species simulated Pinus halepensis
Species parameter table SpParamsES
Simulation period 2014-2015
Evaluation period 2014-2015

Model inputs

Vegetation

Species DBH Height N Z50 Z95 LAI
Pinus halepensis 19.8 1020 300 150 2000 1.7

Soil

widths sand clay om bd rfc VG_theta_sat VG_theta_res
50 31 30 3 1.54 5 0.30 0.05
100 31 30 2 1.54 5 0.30 0.05
100 31 40 2 1.54 10 0.30 0.08
100 31 42 1 1.54 20 0.30 0.09
150 31 42 1 1.54 20 0.33 0.11
500 31 42 1 1.54 30 0.33 0.11
3000 31 42 0 1.54 90 0.33 0.11

Custom traits

Species Kmax_stemxylem
Pinus halepensis 0.15

Custom control

Remarks

Title Remark
Soil 50-cm soil with rocky layers. Modification of theta_res and theta_sat
Vegetation No understory considered
Sapflow Scaling done using stand density and stand LAI

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
ISRYAT sperry 365 -4.254605 -50.99171 4.679861 56.08843 0.6891379 -0.2930627 -0.0894626
ISRYAT sureau 365 -4.511890 -54.07529 4.916934 58.92976 0.6584529 -0.4324849 -0.1446527

Latent heat turbulent flux

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
ISRYAT sperry 365 -0.8788734 -40.19103 1.261291 57.67903 0.1782012 -0.8103869 -0.3438670
ISRYAT sureau 365 -0.5375392 -24.58176 1.106279 50.59034 0.2526533 -0.4905915 -0.1787073

Gross primary productivity

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
ISRYAT granier 365 0.7852077 39.87074 0.9546434 48.47423 0.7986507 0.2714493 0.2705153
ISRYAT sperry 365 0.3967600 20.14641 1.1316269 57.46097 0.5857537 0.2635628 0.1352745
ISRYAT sureau 365 0.9155601 46.48968 1.3632933 69.22437 0.5841474 -0.0101899 -0.0417520

Soil water content (SWC.3)

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
ISRYAT granier 300 0.0654786 55.63602 0.0657311 55.85052 0.9232642 -0.5728669 -0.3761978
ISRYAT sperry 300 0.0870181 73.93771 0.0872426 74.12843 0.8428786 -1.7802831 -0.8265788
ISRYAT sureau 300 0.0697643 59.27742 0.0699810 59.46156 0.9092877 -0.7521905 -0.4651766

Soil water content (SWC.6)

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
ISRYAT granier 300 -0.0111614 -4.702687 0.0198749 8.374000 0.8550025 0.6392384 0.3642076
ISRYAT sperry 300 0.0044639 1.880796 0.0206214 8.688499 0.7579224 0.5456027 0.3403295
ISRYAT sureau 300 -0.0109288 -4.604690 0.0240689 10.141056 0.8098069 0.4656420 0.2300447

Transpiration per leaf area

Site Cohort Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
ISRYAT T1_358 granier 309 -0.1293704 -28.84138 0.1889870 42.13209 0.7138692 0.3538445 0.3064075
ISRYAT T1_358 sperry 309 -0.2432924 -54.23876 0.2513558 56.03639 0.4099058 -0.4042978 0.0775103
ISRYAT T1_358 sureau 309 -0.1433723 -31.96293 0.2286875 50.98280 0.4347559 -0.0224582 0.1607042

Mitra

General information

Attribute Value
Plot name Mitra II
Country Portugal
SAPFLUXNET code PRT_MIT
SAPFLUXNET contributor (affiliation) Teresa David (INIAV IP)
FLUXNET/ICOS code PT-Mi1
FLUXNET/ICOS contributor (affiliation) Joao Santos Pereira
Latitude (º) 38.54056
Longitude (º) -8.00028
Elevation (m) 235
Slope (º) 0
Aspect (º) 0
Parent material Granite
Soil texture Sand
MAT (ºC) 16.5
MAP (mm) 584
Forest stand Evergreen forest dominated by Quercus ilex subsp. rotundifolia
Stand LAI 0.55 (trees)
Stand description DOI 10.1093/treephys/27.6.793
Species simulated Quercus ilex
Species parameter table SpParamsES
Simulation period 2001-2003
Evaluation period 2001-2003

Model inputs

Vegetation

Species DBH Height N Z50 Z95 LAI Cover
Quercus ilex ssp. ilex 38.9 750 30 529 2287 0.55 NA
Herbaceous layer NA 15 NA NA NA NA 100

Soil

widths clay sand om bd rfc
300 14.86667 58.4 2.92 1.463333 20.46667
700 15.05000 63.8 1.10 1.535000 21.65000
1000 14.70000 64.1 0.87 1.550000 80.00000
2000 14.70000 64.1 0.00 1.550000 90.00000

Custom traits

Species Al2As
Quercus ilex ssp. ilex 1540.671

Custom control

Remarks

Title Remark
Soil Taken from SoilGrids
Vegetation No understory but 100% herbaceous cover
Soil moisture data Not available
Eddy covariance data Not enough quality for evaluation

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Transpiration per leaf area

Site Cohort Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
MITRA T1_397 granier 1060 -0.6207926 -59.95775 0.6332131 61.15734 0.8473664 -1.1440275 -0.6813127
MITRA T1_397 sperry 1060 -0.1918802 -18.53228 0.2968685 28.67233 0.8986766 0.4070701 0.2117521
MITRA T1_397 sureau 1060 -0.2839823 -27.42774 0.4363361 42.14246 0.8325488 -0.1404814 -0.1585633

Prades

General information

Attribute Value
Plot name Prades (Tillar valley)
Country Spain
SAPFLUXNET code ESP_TIL_MIX
SAPFLUXNET contributor (affiliation) Rafael Poyatos (CREAF)
FLUXNET/ICOS code
FLUXNET/ICOS contributor (affiliation)
Latitude (º) 41.33263
Longitude (º) 1.014429
Elevation (m) 1018
Slope (º) 35
Aspect (º) 8.53
Parent material Fractured schist
Soil texture Clay loam
MAT (ºC) 10.5
MAP (mm) 651.274727491089
Forest stand Mixed forest with P. sylvestris (overstory) Q. ilex (midstory)
Stand LAI 3.27
Stand description DOI 10.1111/nph.12278
Species simulated Quercus ilex, Pinus sylvestris
Species parameter table SpParamsES
Simulation period 2010-2013
Evaluation period 2010-2013

Model inputs

Vegetation

Species DBH Height N Z50 Z95 LAI Cover
Pinus sylvestris 27.7 1424 257 300 1200 0.58 NA
Quercus ilex ssp. ilex 8.4 500 2913 529 2287 2.69 NA
Herbaceous layer NA 20 NA NA NA NA 10

Soil

widths clay sand om bd rfc
300 21 47 4 1.5 45
700 19 48 4 1.5 70
1000 19 48 4 1.5 85
2500 19 48 4 1.5 90

Custom traits

Species Al2As
Pinus sylvestris 594.5372
Quercus ilex spp. ilex 1387.0312

Custom control

Remarks

Title Remark
Soil Additional rocky layer considered
Vegetation Understory not considered
Sapflow No scaling required (already per leaf area)

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Soil water content (SWC)

Site Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
PRADES granier 1219 0.0199586 10.475019 0.0301835 15.84142 0.9303086 0.7599263 0.4947706
PRADES sperry 1219 0.0148339 7.785388 0.0312449 16.39851 0.8838056 0.7359234 0.4770035
PRADES sureau 1219 0.0065667 3.446423 0.0226402 11.88242 0.9208780 0.8381908 0.6210347

Transpiration per leaf area

Site Cohort Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
PRADES T1_363 granier 1157 -0.0043746 -1.665938 0.1270240 48.37381 0.7302004 0.4656068 0.3522200
PRADES T1_363 sperry 1157 0.0421311 16.044542 0.1432898 54.56820 0.7415870 0.4591805 0.2692701
PRADES T1_363 sureau 1157 0.0361113 13.752047 0.1359713 51.78116 0.7675229 0.3541442 0.3065917
PRADES T2_397 granier 908 0.0721493 43.603566 0.0931496 56.29516 0.8183491 -0.0170765 0.0808354
PRADES T2_397 sperry 908 0.0914808 55.286598 0.1396746 84.41263 0.6229719 -2.3696833 -0.3782553
PRADES T2_397 sureau 908 0.1190648 71.957031 0.1538703 92.99183 0.7275772 -2.3070224 -0.5183331

Leaf water potential

Site Cohort WP Mode n Bias Bias.rel MAE MAE.rel r NSE NSE.abs
PRADES T1_363 Midday sperry 13 0.5885578 34.340919 0.5885578 34.34092 0.9121766 -2.6417276 -1.5323753
PRADES T1_363 Midday sureau 13 0.0888753 5.185659 0.3949806 23.04616 0.9029029 -1.3152136 -0.6994745
PRADES T1_363 Predawn sperry 13 0.4692731 39.229585 0.4692731 39.22959 0.9613028 -0.3288866 -0.3254942
PRADES T1_363 Predawn sureau 13 -0.1631710 -13.640521 0.4898085 40.94627 0.9320368 -0.4516470 -0.3834978
PRADES T2_397 Midday sperry 9 0.1122334 3.898389 1.5159695 52.65669 0.3250149 -1.6220804 -0.7821531
PRADES T2_397 Midday sureau 9 0.8945900 31.073284 1.1700434 40.64106 0.9454767 -0.4202776 -0.3754870
PRADES T2_397 Predawn sperry 9 0.2126902 10.068083 1.9255653 91.15016 0.2119137 -2.5439148 -1.1179864
PRADES T2_397 Predawn sureau 9 0.3476729 16.457734 0.9446796 44.71814 0.9387045 0.2572971 -0.0390811