Model evaluation in experimental plots

Introduction

This document presents medfate (ver. 4.8.0) model evaluation results at stand-level, using data from a set of 20 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
Australia	Euc-FACE	Eucalyptus trees in ambient (control) plots of a CO2 enrichment experiment	AUS_RIC_EUC_ELE	AU-Cum
Denmark	Soroe	European beech forest		DK-Sor
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	Fontainebleau-Barbeau	Mixed deciduous forest	FRA_FON	FR-Fon
France	Font-Blanche	Mixed forest with P. halepensis and Q. ilex		FR-Fbn
Italy	Collelongo	European beech forest		IT-Col
Portugal	Mitra II	Evergreen forest dominated by Quercus ilex subsp. rotundifolia	PRT_MIT	PT-Mi1
Spain	Rinconada	Young, homogeneous, Quercus pyrenaica regrowth forest	ESP_RIN
Spain	Vallcebre (Cal Barrol)	Semi-deciduous sub-Mediterranean oak forest	ESP_VAL_BAR
Spain	Vallcebre (Cal Sort)	Pinus sylvestris forest in a terraced area	ESP_VAL_SOR
Spain	Prades (Tillar valley)	Mixed forest with P. sylvestris (overstory) Q. ilex (midstory)	ESP_TIL_MIX
Spain	Can Balasc	Mixed forest dominated by Q. ilex	ESP_CAN
Spain	Alto Tajo (Armallones)	Sparse mixed forest dominated by three species	ESP_ALT_ARM
Spain	Ronda (Pilones)	Mixed gimnosperm forest dominated by Abies pinsapo	ESP_RON_PIL
Switzerland	Davos Seehornwald	Subalpine coniferous (spruce) forest	CHE_DAV_SEE	CH-Dav
Switzerland	Lötschental	Mixed evergreen Norway spruce and deciduous European larch forest	CHE_LOT_NOR
USA	Morgan-Mornoe	Mixed temperate forest	USA_MOR_SF	US-MMS
USA	Sevilleta	Mixed pine-juniper forest	USA_PJS_P04_AMB

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	stemCavitationRecovery	leafCavitationRecovery	segmentedXylemVulnerability	subdailyResults
Granier	dual	rate	total	NA	NA
Sperry	dual	rate	total	TRUE	FALSE
Sureau	dual	rate	rate	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:

General information: General information about the site, topography, soil and climate, as well as data sources used.
Model inputs: Description of model inputs (vegetation, soil, custom species parameters and parameterization remarks).
Climate: Graphical description of climate inputs and predicted soil/canopy temperatures (under Sperry).
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	4590.63
Eucalyptus rubida	4590.63
Eucalyptus radiata	4590.63

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

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = Hmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_H' not found

## Error: object 'df_all_H' not found

Latent heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = LEmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_LE' not found

## Error: object 'df_all_LE' not found

Gross primary productivity

## Error in rowSums(out$Plants$GrossPhotosynthesis): 'x' must be an array of at least two dimensions

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_GPP' not found

## Error: object 'df_all_GPP' not found

Soil water content (SWC.1)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
WOMBAT	T1_7431	granier	1035	-0.1417501	-34.78071	0.1507744	36.99499	0.9096005	0.4811424	0.2946822
WOMBAT	T1_7431	sperry	1035	-0.1389368	-34.09043	0.1450798	35.59771	0.9291188	0.5612928	0.3213218
WOMBAT	T1_7431	sureau	1035	-0.1006258	-24.69020	0.1482999	36.38783	0.9108201	0.5147453	0.3062578
WOMBAT	T2_7526	granier	1035	-0.1173446	-25.93085	0.1439880	31.81853	0.9120013	0.6617901	0.4800668
WOMBAT	T2_7526	sperry	1035	-0.1703508	-37.64420	0.1727077	38.16502	0.9442743	0.5867044	0.3763614
WOMBAT	T2_7526	sureau	1035	-0.1022853	-22.60306	0.1425305	31.49645	0.9323598	0.7150339	0.4853297

Euc-FACE

General information

Attribute	Value
Plot name	Euc-FACE
Country	Australia
SAPFLUXNET code	AUS_RIC_EUC_ELE
SAPFLUXNET contributor (affiliation)	Teresa Gimeno (CREAF)
FLUXNET/ICOS code	AU-Cum
FLUXNET/ICOS contributor (affiliation)	Elise Pendall (U. Western Sidney)
Latitude (º)	-33.61778
Longitude (º)	150.74028
Elevation (m)	23
Slope (º)	0
Aspect (º)	0
Parent material
Soil texture	Sandy loam
MAT (ºC)	17.6
MAP (mm)	899
Forest stand	Eucalyptus trees in ambient (control) plots of a CO2 enrichment experiment
Stand LAI	2
Stand description DOI	10.1111/1365-2435.12532
Species simulated	Eucalyptus tereticornis
Species parameter table	SpParamsAU
Simulation period	2012-2014
Evaluation period	2012-2014

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	LAI	Cover
Eucalyptus tereticornis	21	2200	800	200	3000	2	NA
Herbaceous layer	NA	10	NA	NA	NA	NA	10

Soil

widths	clay	sand	om	bd	rfc	VG_theta_res	VG_theta_sat
300	18.16667	61.86667	1.8700000	1.246667	6.566667	0.03	0.4
500	31.00000	52.46667	0.6566667	1.313333	20.000000	0.03	0.4
500	31.10000	52.73750	0.6912500	1.331250	20.000000	0.03	0.4
2700	30.60000	53.30000	0.5600000	1.350000	90.000000	0.03	0.4

Custom traits

Species	Vmax298	Jmax298	Al2As
Eucalyptus tereticornis	91	159	6896.552

Custom control

Remarks

Title	Remark
Soil	Taken from SoilGrids
Vegetation	No understory or secondary species considered. 10% Herbaceous cover
Weather	CO2 set to 390 ppm
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

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = Hmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_H' not found

## Error: object 'df_all_H' not found

Latent heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = LEmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_LE' not found

## Error: object 'df_all_LE' not found

Gross primary productivity

## Error in rowSums(out$Plants$GrossPhotosynthesis): 'x' must be an array of at least two dimensions

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_GPP' not found

## Error: object 'df_all_GPP' not found

Soil water content (SWC)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
EUCFACE	T1_7590	granier	708	-0.3059868	-47.08936	0.3179183	48.92554	0.7156483	-0.7090373	-0.4259406
EUCFACE	T1_7590	sperry	708	-0.1699725	-26.15765	0.2011028	30.94840	0.7715523	0.1811446	0.0980053
EUCFACE	T1_7590	sureau	708	-0.1709932	-26.31473	0.2502836	38.51700	0.6952598	-0.1704686	-0.1225826

Leaf water potential

## Error in if (df_site$Mode[[k]] != "granier") {: missing value where TRUE/FALSE needed

Site	Cohort	WP	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
EUCFACE	T1_7590	Midday	sperry	15	0.6268778	31.47533	0.7376916	37.03925	0.2071056	-1.506711	-0.5923862
EUCFACE	T1_7590	Midday	sureau	15	0.8796616	44.16752	1.0785328	54.15278	0.0744972	-3.932285	-1.3281284
EUCFACE	T1_7590	Predawn	sperry	8	0.1375796	21.37955	0.2778156	43.17188	0.3955593	-1.394345	-0.8812367
EUCFACE	T1_7590	Predawn	sureau	8	-0.2556126	-39.72159	0.4358844	67.73540	0.1337131	-9.443432	-1.9516047

Soroe

General information

Attribute	Value
Plot name	Soroe
Country	Denmark
SAPFLUXNET code
SAPFLUXNET contributor (affiliation)
FLUXNET/ICOS code	DK-Sor
FLUXNET/ICOS contributor (affiliation)	Andreas Ibrom (Technical University of Denmark)
Latitude (º)	11.6446
Longitude (º)	55.4859
Elevation (m)	40
Slope (º)	0
Aspect (º)	NA
Parent material
Soil texture
MAT (ºC)	8.2
MAP (mm)	660
Forest stand	European beech forest
Stand LAI	4.5
Stand description DOI	10.1016/j.agrformet.2011.02.013
Species simulated	Fagus sylvatica
Species parameter table	SpParamsFR
Simulation period	2003-2006
Evaluation period	2003-2006

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	LAI
Fagus sylvatica	24.28232	2099	352.987	NA	NA	4.5

Soil

widths	clay	sand	om	bd	rfc
400	15.27	58.73	5.42	1.28	7.48
200	19.20	55.70	2.18	1.58	6.10
3000	19.60	55.45	1.78	1.65	7.55

Custom traits

Species	Vmax298	Jmax298
Fagus sylvatica	94.5	159.9

Custom control

Remarks

Title	Remark
Soil	Taken from SoilGrids
Vegetation	No understory
Weather	From V. saponaro
Sapflow	Not available
Soil moisture	Taken from FLUXNET
Eddy covariance	Variables H_F_MDS and LE_F_MDS for sensible and latent heat

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = Hmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_H' not found

## Error: object 'df_all_H' not found

Latent heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = LEmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_LE' not found

## Error: object 'df_all_LE' not found

Gross primary productivity

## Error in rowSums(out$Plants$GrossPhotosynthesis): 'x' must be an array of at least two dimensions

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_GPP' not found

## Error: object 'df_all_GPP' not found

Soil water content (SWC)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

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	529	2287	2.0	NA
Buxus sempervirens	NA	200.0000	NA	390	1470	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
100	39	26	6	1.45	75	0.27	0.015
200	39	26	4	1.45	75	0.27	0.015
200	39	26	3	1.45	75	0.27	0.015
1500	39	26	1	1.45	80	0.27	0.015
2500	39	26	1	1.45	90	0.27	0.015

Custom traits

Species	SLA	VCleaf_P12	VCleaf_P50	VCleaf_P88	VCleaf_slope	VCstem_P12	VCstem_P50	VCstem_P88	VCstem_slope	VCroot_P12	VCroot_P50	VCroot_P88	VCroot_slope	VCleaf_kmax	Kmax_stemxylem	LeafEPS	LeafPI0	LeafAF	StemEPS	StemPI0	StemAF	Gswmin	Gswmax	Gs_P50	Gs_slope	Al2As
Quercus ilex	4.55	-4.004731	-5.25	-6.495269	40	-4.739642	-6.4	-8.060358	30	-2.004731	-3.25	-4.495269	40	2.63	0.20	15	-2.5	0.4	15	-2.5	0.4	0.002	0.20	-2.114188	44.70588	1540.671
Buxus sempervirens	5.19	-5.004731	-6.25	-7.495269	40	NA	NA	NA	NA	NA	NA	NA	NA	2.00	0.15	NA	NA	NA	NA	NA	NA	0.002	0.18	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

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = Hmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_H' not found

## Error: object 'df_all_H' not found

Latent heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = LEmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_LE' not found

## Error: object 'df_all_LE' not found

Gross primary productivity

## Error in rowSums(out$Plants$GrossPhotosynthesis): 'x' must be an array of at least two dimensions

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_GPP' not found

## Error: object 'df_all_GPP' not found

Soil water content (SWC.2)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
FRAPUE	T1_2854	granier	1096	-0.0818435	-23.85896	0.1257926	36.67098	0.7740577	0.4531214	0.3050664
FRAPUE	T1_2854	sperry	1096	-0.0438887	-12.79441	0.2810124	81.92054	0.2335627	-2.0042843	-0.5524357
FRAPUE	T1_2854	sureau	1096	-0.0645240	-18.80999	0.1347261	39.27524	0.7959383	0.3627556	0.2557143

Leaf water potential

## Error in if (df_site$Mode[[k]] != "granier") {: missing value where TRUE/FALSE needed

Site	Cohort	WP	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
FRAPUE	T1_2854	Midday	sperry	14	-0.7607598	-25.36243	1.0579453	35.27009	0.1576664	-3.5406235	-1.1957091
FRAPUE	T1_2854	Midday	sureau	28	0.4383139	14.04752	0.8599314	27.55993	0.6541764	-0.9622805	-0.4403996
FRAPUE	T1_2854	Predawn	sperry	14	-1.5965810	-136.03429	1.6164152	137.72423	0.4569802	-3.7935507	-0.9391046
FRAPUE	T1_2854	Predawn	sureau	28	-0.5971095	-40.82177	0.8364286	57.18297	0.7530155	0.2119242	0.1203657

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

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = Hmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_H' not found

## Error: object 'df_all_H' not found

Latent heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = LEmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_LE' not found

## Error: object 'df_all_LE' not found

Soil water content (SWC.1)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Soil water content (SWC.2)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Soil water content (SWC.3)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Soil water content (SWC.4)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Soil water content (SWC.5)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
FRAHES	T1_1396	granier	559	-0.2117071	-41.84626	0.2736146	54.08296	0.7249868	0.0798059	0.1572628
FRAHES	T1_1396	sperry	559	-0.5059165	-100.00000	0.5059165	100.00000	NA	-1.7363005	-0.5582304
FRAHES	T1_1396	sureau	559	-0.5059165	-100.00000	0.5059165	100.00000	NA	-1.7363005	-0.5582304

Fontainebleau-Barbeau

General information

Attribute	Value
Plot name	Fontainebleau-Barbeau
Country	France
SAPFLUXNET code	FRA_FON
SAPFLUXNET contributor (affiliation)	Nicolas Delpierre (Univ. Paris-Sud)
FLUXNET/ICOS code	FR-Fon
FLUXNET/ICOS contributor (affiliation)	Nicolas Delpierre (Univ. Paris-Sud)
Latitude (º)	48.47634
Longitude (º)	2.78014
Elevation (m)	105
Slope (º)	0
Aspect (º)	0
Parent material	Millstone
Soil texture	Loam
MAT (ºC)	11.2
MAP (mm)	697
Forest stand	Mixed deciduous forest
Stand LAI	6
Stand description DOI	10.1111/nph.13771
Species simulated	Quercus petraea, Carpinus betulus
Species parameter table	SpParamsFR
Simulation period	2006-2008
Evaluation period	2006-2008

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	LAI
Quercus petraea	33	2800	220.8	NA	NA	4.74
Carpinus betulus	10	500	883.2	NA	NA	1.26

Soil

widths	clay	sand	om	bd	rfc
300	24.13333	26.56667	3.6733330	1.286667	14.43333
600	30.48571	25.22857	0.6228571	1.504286	15.54286
1100	30.20000	25.64000	0.4720000	1.518000	80.00000
2500	29.90000	25.80000	0.4500000	1.520000	90.00000

Custom traits

Species	Al2As
Quercus petraea	1075.267
Carpinus betulus	1075.267

Custom control

Remarks

Title	Remark
Soil	Taken from SoilGrids with theta_sat and theta_res modified
Vegetation	Plantation
Weather	From fluxnet data
Sapflow	Sapwood area estimated from dbh for trees within missing data
Eddy covariance	Variables H_F_MDS and LE_F_MDS for sensible and latent heat

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = Hmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_H' not found

## Error: object 'df_all_H' not found

Latent heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = LEmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_LE' not found

## Error: object 'df_all_LE' not found

Gross primary productivity

## Error in rowSums(out$Plants$GrossPhotosynthesis): 'x' must be an array of at least two dimensions

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_GPP' not found

## Error: object 'df_all_GPP' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
FONTAINEBLEAU	T1_2856	granier	740	-0.2458481	-50.864246	0.2473650	51.17808	0.8749491	8.756470e-02	0.1251816
FONTAINEBLEAU	T1_2856	sperry	740	-0.4111060	-85.054929	0.4270885	88.36159	0.1713097	-1.711092e+00	-0.5104191
FONTAINEBLEAU	T1_2856	sureau	740	90.6532317	18755.514694	91.6193594	18955.39970	-0.0458421	-4.950048e+07	-323.0163149
FONTAINEBLEAU	T2_730	granier	732	-0.0132565	-8.289367	0.0443122	27.70868	0.8441996	6.982369e-01	0.5276194
FONTAINEBLEAU	T2_730	sperry	732	0.7195601	449.944719	0.7289074	455.78959	0.3603320	-9.385169e+01	-6.7703513
FONTAINEBLEAU	T2_730	sureau	732	-0.1599219	-100.000000	0.1599219	100.00000	NA	-2.027473e+00	-0.7048110

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	390	1470	0.0000000	NA
Pinus halepensis	26.759914	1195.7667	256	300	1200	0.9843761	NA
Quercus ilex	6.220031	495.5532	3104	500	2287	1.7156239	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	VCstem_P12	VCstem_P50	VCstem_P88	VCstem_slope	VCroot_P12	VCroot_P50	VCroot_P88	VCleaf_kmax	LeafEPS	LeafPI0	LeafAF	StemEPS	StemPI0	StemAF	Gswmin	Gswmax	Gs_P50	Gs_slope	Al2As
Phillyrea latifolia	-1.971750	-6.50	-11.028250	11	NA	NA	NA	3.00	12.38	-2.13	0.5	12.38	-2.13	0.4	0.002	0.2200	-2.207094	89.41176	NA
Pinus halepensis	-3.707158	-4.79	-5.872842	46	-1	-1.741565	-2.301482	4.00	5.31	-1.50	0.6	5.00	-1.65	0.4	0.001	0.2175	-1.871216	97.43590	631.000
Quercus ilex	-4.739642	-6.40	-8.060358	30	NA	NA	NA	2.63	15.00	-2.50	0.4	15.00	-2.50	0.4	0.002	0.2200	-2.114188	44.70588	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

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = Hmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_H' not found

## Error: object 'df_all_H' not found

Latent heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = LEmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_LE' not found

## Error: object 'df_all_LE' not found

Soil water content (SWC)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
FONBLA	T2_2631	granier	300	0.1666387	81.021726	0.1842212	89.57056	0.5172616	-3.8339740	-0.8616505
FONBLA	T2_2631	sperry	300	-0.0033812	-1.643974	0.0704962	34.27607	0.7864860	0.3817768	0.2876000
FONBLA	T2_2631	sureau	300	0.1571105	76.388989	0.2143290	104.20929	0.4403794	-7.8039064	-1.1659045
FONBLA	T3_2854	granier	309	-0.0163691	-5.655087	0.0584433	20.19056	0.8998449	0.8004192	0.6018379
FONBLA	T3_2854	sperry	309	0.1473393	50.901664	0.1711797	59.13788	0.9067961	-0.4719543	-0.1662112
FONBLA	T3_2854	sureau	309	-0.0030396	-1.050108	0.0774652	26.76212	0.8943981	0.6323699	0.4722456

Leaf water potential

## Error in if (df_site$Mode[[k]] != "granier") {: missing value where TRUE/FALSE needed

Site	Cohort	WP	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
FONBLA	T2_2631	Midday	sperry	3	0.4784493	17.9343749	0.5173967	19.39429	0.9927048	-6.5953079	-1.7662792
FONBLA	T2_2631	Midday	sureau	3	0.3546824	13.2950520	0.4872948	18.26594	0.9910873	-4.7359338	-1.6053386
FONBLA	T2_2631	Predawn	sperry	3	0.1609549	8.2753153	0.5199023	26.73019	0.9766495	-0.4778994	-0.4622251
FONBLA	T2_2631	Predawn	sureau	3	-0.0480019	-2.4679641	0.3789449	19.48303	0.9953903	-0.0815382	-0.0657826
FONBLA	T3_2854	Midday	sperry	3	0.0119589	0.4382317	0.3800231	13.92593	0.9484634	-0.0685059	-0.1739844
FONBLA	T3_2854	Midday	sureau	3	0.5025246	18.4149881	0.5629994	20.63109	0.9939351	-2.0328857	-0.7392431
FONBLA	T3_2854	Predawn	sperry	3	-0.2155732	-14.2032101	0.2639521	17.39069	0.9938450	0.4478595	0.4036230
FONBLA	T3_2854	Predawn	sureau	3	-0.4181692	-27.5514126	0.4495545	29.61926	0.9996811	-0.2713647	-0.0157298

Collelongo

General information

Attribute	Value
Plot name	Collelongo
Country	Italy
SAPFLUXNET code
SAPFLUXNET contributor (affiliation)
FLUXNET/ICOS code	IT-Col
FLUXNET/ICOS contributor (affiliation)	Giorgio Matteucci (IEIF CNR)
Latitude (º)	13.5881
Longitude (º)	41.8494
Elevation (m)	1560
Slope (º)	19.29
Aspect (º)	252
Parent material	Calcareous
Soil texture	Silt loam
MAT (ºC)	6.3
MAP (mm)	1180
Forest stand	European beech forest
Stand LAI	5.5
Stand description DOI	10.1111/j.1365-2486.1996.tb00072.x
Species simulated	Fagus sylvatica
Species parameter table	SpParamsFR
Simulation period	2011-2013
Evaluation period	2011-2013

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	LAI	CR
Fagus sylvatica	20.2	1898.9	899.9668	NA	NA	5.5	0.5

Soil

widths	clay	sand	om	bd	rfc
300	27.23333	32.50	3.000	1.37	17.4
700	30.90000	32.15	1.955	1.37	20.9
2000	31.20000	33.70	1.430	1.44	22.8

Custom traits

Species	Vmax298	Jmax298
Fagus sylvatica	94.5	159.9

Custom control

freeDrainage
FALSE

Remarks

Title	Remark
Soil	Taken from SoilGrids
Vegetation	No understory
Weather	From V. saponaro
Sapflow	Not available
Eddy covariance	Variables H_F_MDS and LE_F_MDS for sensible and latent heat

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = Hmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_H' not found

## Error: object 'df_all_H' not found

Latent heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = LEmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_LE' not found

## Error: object 'df_all_LE' not found

Gross primary productivity

## Error in rowSums(out$Plants$GrossPhotosynthesis): 'x' must be an array of at least two dimensions

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_GPP' not found

## Error: object 'df_all_GPP' not found

Soil water content (SWC)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

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	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	SLA	VCleaf_P12	VCleaf_P50	VCleaf_P88	VCleaf_slope	VCstem_P12	VCstem_P50	VCstem_P88	VCstem_slope	VCroot_P12	VCroot_P50	VCroot_P88	VCroot_slope	VCleaf_kmax	Kmax_stemxylem	LeafEPS	LeafPI0	LeafAF	StemEPS	StemPI0	StemAF	Gswmin	Gswmax	Gs_P50	Gs_slope	Al2As
Quercus ilex	4.55	-4.004731	-5.25	-6.495269	40	-4.739642	-6.4	-8.060358	30	-2.004731	-3.25	-4.495269	40	2.63	0.2	15	-2.5	0.4	15	-2.5	0.4	0.002	0.2	-2.114188	44.70588	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_394	granier	1060	-0.6221568	-60.08950	0.6345726	61.28865	0.8351585	-1.1705383	-0.6849225
MITRA	T1_394	sperry	1060	-0.1281138	-12.37356	0.4068453	39.29417	0.8428604	-0.0564714	-0.0802592
MITRA	T1_394	sureau	1060	-0.4436160	-42.84557	0.4595107	44.38072	0.8860309	-0.1751699	-0.2200966

Rinconada

General information

Attribute	Value
Plot name	Rinconada
Country	Spain
SAPFLUXNET code	ESP_RIN
SAPFLUXNET contributor (affiliation)	Virginia Hernandez-Santana (IRNAS-CSIC)
FLUXNET/ICOS code
FLUXNET/ICOS contributor (affiliation)
Latitude (º)	40.600278
Longitude (º)	-6.016667
Elevation (m)	1200
Slope (º)	10
Aspect (º)	0
Parent material
Soil texture	Silty loam
MAT (ºC)	10
MAP (mm)	1000
Forest stand	Young, homogeneous, Quercus pyrenaica regrowth forest
Stand LAI	3.4
Stand description DOI	10.1016/j.foreco.2008.03.004
Species simulated	Quercus pyrenaica
Species parameter table	SpParamsES
Simulation period	2006-2007
Evaluation period	2006-2007

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	LAI	Cover
Quercus pyrenaica	11.7	740	1975	300	1500	3.4	NA
Herbaceous layer	NA	10	NA	NA	NA	NA	5

Soil

widths	clay	sand	om	bd	rfc	VG_theta_sat	VG_theta_res
250	19.10	45.33333	4.000	1.48	10.00	0.35	0.03
250	23.95	41.60000	2.000	1.48	21.00	0.35	0.03
500	23.95	41.60000	1.315	1.48	24.85	0.35	0.03
1000	24.50	42.30000	0.820	1.51	60.00	0.35	0.03
2500	24.50	42.30000	0.000	1.56	85.00	0.35	0.03

Custom traits

Species	Kmax_stemxylem	VCleaf_kmax	Gswmin	Gswmax	Al2As
Quercus pyrenaica	1	4	0.003	0.3	4189.325

Custom control

Remarks

Title	Remark
Soil	Taken from SoilGrids, with modification of theta_sat and theta_res
Vegetation	Understory not considered
Weather	Available weather complemented with interpolation
Sapflow	Sapflow scaling needs to be revised

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Soil water content (SWC)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
ESPRIN	T1_402	granier	103	0.0684239	18.91182	0.0826196	22.83542	0.6632678	-0.4536259	-0.3948501
ESPRIN	T1_402	sperry	103	-0.0945417	-26.13060	0.2172311	60.04099	0.0303429	-7.9401076	-2.6674679
ESPRIN	T1_402	sureau	103	-0.3618047	-100.00000	0.3618047	100.00000	NA	-18.7454913	-5.1082735

Leaf water potential

## Error in if (df_site$Mode[[k]] != "granier") {: missing value where TRUE/FALSE needed

Site	Cohort	WP	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
ESPRIN	T1_402	Midday	sperry	15	-6.169674e+00	-3.901531e+02	6.169674e+00	3.901531e+02	0.5721158	-1.276797e+02	-1.337174e+01
ESPRIN	T1_402	Midday	sureau	15	-5.608683e+07	-3.546776e+09	5.608683e+07	3.546776e+09	NA	-1.057294e+16	-1.306496e+08
ESPRIN	T1_402	Predawn	sperry	15	-7.350617e+00	-1.835802e+03	7.350617e+00	1.835802e+03	0.4551408	-1.476818e+03	-4.451320e+01
ESPRIN	T1_402	Predawn	sureau	15	-5.608683e+07	-1.400758e+10	5.608683e+07	1.400758e+10	NA	-8.598230e+16	-3.472758e+08

Vallcebre (Barrol)

General information

Attribute	Value
Plot name	Vallcebre (Cal Barrol)
Country	Spain
SAPFLUXNET code	ESP_VAL_BAR
SAPFLUXNET contributor (affiliation)	Rafael Poyatos (CREAF)
FLUXNET/ICOS code
FLUXNET/ICOS contributor (affiliation)
Latitude (º)	42.202933
Longitude (º)	1.820486
Elevation (m)	1102
Slope (º)	0
Aspect (º)	0
Parent material	Limestone
Soil texture	Silty clay loam
MAT (ºC)	9.3
MAP (mm)	603
Forest stand	Semi-deciduous sub-Mediterranean oak forest
Stand LAI	2.1
Stand description DOI	10.1093/treephys/27.4.537
Species simulated	Quercus pubescens
Species parameter table	SpParamsES
Simulation period	2004-2005
Evaluation period	2004-2005

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	LAI	Cover
Quercus pubescens	21.82917	1162.5	828	NA	NA	2.1	NA
Buxus sempervirens	NA	100.0	NA	NA	NA	NA	20
Herbaceous layer	NA	20.0	NA	NA	NA	NA	5

Soil

widths	clay	sand	om	bd	rfc
100	31.0	9.7	NA	1.23	5
100	31.0	9.7	NA	1.30	10
100	31.0	9.7	NA	1.30	15
200	28.6	8.8	NA	1.50	20
1000	28.6	8.8	NA	1.50	70
2000	28.6	8.8	NA	1.50	90

Custom traits

Species	Al2As
Quercus pubescens	2342.065
Buxus sempervirens	NA

Custom control

Remarks

Title	Remark
Soil	Soil depth is 50 cm but additional rocky layers were added
Vegetation	Understory modelled using B. sempervirens
Weather	Missing values have been complemented with interpolated data
Sapflow	Sapflux density has been scaled to cohort level using measured plant Huber values

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Soil water content (SWC.2)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
QVALLCEBRE	T1_400	granier	279	-0.3429614	-44.42992	0.3823034	49.52659	0.5788657	-0.7041443	-0.4478138
QVALLCEBRE	T1_400	sperry	279	0.2708497	35.08800	0.3813270	49.40010	0.5858822	-1.1519593	-0.4441162
QVALLCEBRE	T1_400	sureau	279	0.1520440	19.69697	0.3350921	43.41046	0.5796233	-0.7247994	-0.2690208

Vallcebre (Sort)

General information

Attribute	Value
Plot name	Vallcebre (Cal Sort)
Country	Spain
SAPFLUXNET code	ESP_VAL_SOR
SAPFLUXNET contributor (affiliation)	Rafael Poyatos (CREAF)
FLUXNET/ICOS code
FLUXNET/ICOS contributor (affiliation)
Latitude (º)	42.196053
Longitude (º)	1.813561
Elevation (m)	1257
Slope (º)	10
Aspect (º)	0
Parent material	Limestone
Soil texture	Sandy clay loam
MAT (ºC)	8.5
MAP (mm)	623
Forest stand	Pinus sylvestris forest in a terraced area
Stand LAI	2.4
Stand description DOI	10.5194/hess-9-493-2005
Species simulated	Pinus sylvestris
Species parameter table	SpParamsES
Simulation period	2003-2005
Evaluation period	2003-2005

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	LAI	Cover
Pinus sylvestris	16.2	1076.923	2165	NA	NA	2.4	NA
Buxus sempervirens	NA	100.000	NA	NA	NA	NA	5
Herbaceous layer	NA	20.000	NA	NA	NA	NA	5

Soil

widths	clay	sand	om	bd	rfc
100	22	59	4	1.18	10
100	21	60	3	1.28	15
100	20	61	2	1.38	19
350	18	62	1	1.48	20
350	18	62	0	1.50	50

Custom traits

Species	Al2As
Pinus sylvestris	681.6332
Buxus sempervirens	NA

Custom control

Remarks

Title	Remark
Soil	Soil depth is 65 cm (30 + 35) but an additional layer of 35 cm is considered with 50% rocks
Vegetation	Understory modelled using B. sempervirens
Weather	Missing values have been complemented with interpolated data
Sapflow	Sapflux density has been scaled to cohort level using measured plant Huber values

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Soil water content (SWC.2)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
PVALLCEBRE	T1_361	granier	733	-0.4751063	-64.11986	0.4896616	66.08423	0.7128155	-0.6003174	-0.2191701
PVALLCEBRE	T1_361	sperry	733	-0.3774654	-50.94234	0.4027072	54.34895	0.7137062	-0.1245449	-0.0026691
PVALLCEBRE	T1_361	sureau	733	-0.4558566	-61.52195	0.4801462	64.80005	0.6014946	-0.5613990	-0.1954786

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	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	VCleaf_P12	VCleaf_P50	VCleaf_P88	VCleaf_slope	VCstem_P12	VCstem_P50	VCstem_P88	VCstem_slope	VCroot_P12	VCroot_P50	VCroot_P88	VCroot_slope	VCleaf_kmax	LeafEPS	LeafPI0	LeafAF	StemEPS	StemPI0	StemAF	Gswmin	Gswmax	Gs_P50	Gs_slope	Al2As
Pinus sylvestris	NA	NA	NA	NA	-0.9930548	-3.2	-5.406945	22.57	-0.2474341	-1.65	-3.052566	35.51402	4.00	5.31	-1.5	0.6	5	-1.65	0.4	0.001	0.18	-1.871216	97.43590	594.5372
Quercus ilex	-4.004731	-5.25	-6.495269	40	-4.7396415	-6.4	-8.060358	30.00	-2.0047311	-3.25	-4.495269	40.00000	2.63	15.00	-2.5	0.4	15	-2.50	0.4	0.002	0.20	-2.114188	44.70588	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)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
PRADES	T1_361	granier	1157	0.0492175	18.7432274	0.1584464	60.34019	0.6527672	0.1994840	0.1919765
PRADES	T1_361	sperry	1157	-0.1671737	-63.6637855	0.1762032	67.10242	0.6495317	-0.0154983	0.1014226
PRADES	T1_361	sureau	1157	-0.0011093	-0.4224599	0.1359271	51.76430	0.7644063	0.3091780	0.3068174
PRADES	T2_394	granier	908	0.0619715	37.4526153	0.0850859	51.42183	0.8328476	0.0922513	0.1604051
PRADES	T2_394	sperry	908	0.2003130	121.0595630	0.2952601	178.44108	0.4468124	-13.9366629	-1.9135138
PRADES	T2_394	sureau	908	0.1104204	66.7328160	0.1416889	85.62997	0.8109413	-1.7751083	-0.3981315

Leaf water potential

## Error in if (df_site$Mode[[k]] != "granier") {: missing value where TRUE/FALSE needed

Site	Cohort	WP	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
PRADES	T1_361	Midday	sperry	13	-2.6313473	-153.53271	2.7614695	161.12503	0.8484840	-107.2701734	-10.8817161
PRADES	T1_361	Midday	sureau	13	-0.5924877	-34.57021	1.0442295	60.92825	0.8351514	-19.2444701	-3.4929841
PRADES	T1_361	Predawn	sperry	13	-2.8240228	-236.07839	3.0012924	250.89750	0.8943752	-64.7022515	-7.4773567
PRADES	T1_361	Predawn	sureau	13	-0.7037766	-58.83325	1.0879162	90.94597	0.9316014	-10.4135967	-2.0728941
PRADES	T2_394	Midday	sperry	9	-1.9078141	-66.26729	2.1321562	74.05973	0.5441536	-4.5826030	-1.5065338
PRADES	T2_394	Midday	sureau	9	0.5634273	19.57046	0.8948573	31.08257	0.9632963	0.0494185	-0.0519821
PRADES	T2_394	Predawn	sperry	9	-1.7962535	-85.02895	2.0161388	95.43763	0.7481450	-2.9380831	-1.2176109
PRADES	T2_394	Predawn	sureau	9	0.2767893	13.10233	0.6622449	31.34857	0.9522929	0.6172810	0.2715772

Can Balasc

General information

Attribute	Value
Plot name	Can Balasc
Country	Spain
SAPFLUXNET code	ESP_CAN
SAPFLUXNET contributor (affiliation)	Elisenda Sánchez-Costa (IDAEA-CSIC)
FLUXNET/ICOS code
FLUXNET/ICOS contributor (affiliation)
Latitude (º)	41.43099
Longitude (º)	2.0736
Elevation (m)	270
Slope (º)	0.86
Aspect (º)	90
Parent material	Shales and granite
Soil texture	Sandy loam
MAT (ºC)	17
MAP (mm)	585
Forest stand	Mixed forest dominated by Q. ilex
Stand LAI	3.2
Stand description DOI	10.1016/j.agrformet.2015.03.012
Species simulated	Quercus ilex, Quercus pubescens, Pinus halepensis, Arbutus unedo
Species parameter table	SpParamsES
Simulation period	2011-2012
Evaluation period	2011-2012

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	LAI	Cover
Arbutus unedo	9.6	810.00	76	390	1470	0.1402566	NA
Pinus halepensis	33.7	1710.00	53	300	1200	0.3854073	NA
Quercus pubescens	12.0	960.00	150	529	2287	0.3641975	NA
Quercus ilex	11.9	1020.00	1150	529	2287	2.3101386	NA
Arbutus unedo	NA	174.00	NA	NA	NA	NA	4.83
Phillyrea angustifolia	NA	153.33	NA	NA	NA	NA	7.25
Pistacia lentiscus	NA	118.33	NA	NA	NA	NA	13.50
Quercus ilex	NA	78.00	NA	NA	NA	NA	9.67
Viburnum spp.	NA	138.33	NA	NA	NA	NA	9.67
Herbaceous layer	NA	20.00	NA	NA	NA	NA	5.00

Soil

widths	clay	sand	om	bd	rfc
300	20.23	48.9	2.70	1.5	20
700	24.58	52.4	1.00	1.5	30
1000	27.66	45.6	0.61	1.5	85
2500	27.66	45.6	0.61	1.5	90

Custom traits

Species	VCstem_P12	VCstem_P50	VCstem_P88	VCstem_slope	VCroot_P12	VCroot_P50	VCroot_P88	VCleaf_kmax	LeafEPS	LeafPI0	LeafAF	StemEPS	StemPI0	StemAF	Gswmin	Gswmax	Gs_P50	Gs_slope	Al2As
Arbutus unedo	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1297.3893
Pinus halepensis	-3.707158	-4.79	-5.872842	46	-1	-1.741565	-2.301482	4.00	5.31	-1.5	0.6	5	-1.65	0.4	0.001	0.2175	-1.871216	97.43590	631.1784
Quercus pubescens	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1487.5004
Quercus ilex	-4.739642	-6.40	-8.060358	30	NA	NA	NA	2.63	15.00	-2.5	0.4	15	-2.50	0.4	0.002	0.2200	-2.114188	44.70588	1009.0124
Phillyrea angustifolia	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Pistacia lentiscus	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
Viburnum spp.	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA

Custom control

Remarks

Title	Remark
Soil	Soil description from local samples
Vegetation	Understory composed of multiple species
Sapflow	No scaling required (already per leaf area) but tree selection may be required

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Soil water content (SWC)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
CANBALASC	T1_35	granier	644	0.0190200	6.401961	0.1222338	41.14270	0.7104228	0.1585963	0.1351475
CANBALASC	T1_35	sperry	644	-0.1081508	-36.402505	0.1772191	59.65023	0.6727779	-0.5818300	-0.2538955
CANBALASC	T1_35	sureau	644	-0.0833083	-28.040756	0.1652169	55.61041	0.5325312	-0.3591860	-0.1689752
CANBALASC	T2_356	granier	611	0.1978144	76.277553	0.2662718	102.67484	0.2366570	-4.0086109	-0.9961643
CANBALASC	T2_356	sperry	611	-0.0722405	-27.856045	0.1565422	60.36293	0.7306051	-0.3763655	-0.1735525
CANBALASC	T2_356	sureau	611	0.1137660	43.868368	0.2903578	111.96244	0.1998277	-5.1614136	-1.1767301
CANBALASC	T3_400	granier	679	-0.1011840	-25.517481	0.2312931	58.32956	0.3620810	-0.6725705	-0.3410041
CANBALASC	T3_400	sperry	679	-0.1046531	-26.392352	0.3168409	79.90376	0.6032489	-2.0168196	-0.8369978
CANBALASC	T3_400	sureau	679	0.0215137	5.425518	0.3750134	94.57420	0.2580938	-3.3696721	-1.1742730
CANBALASC	T4_394	granier	644	-0.0488733	-16.633930	0.1177102	40.06246	0.7519443	0.5088036	0.3578063
CANBALASC	T4_394	sperry	644	0.1074892	36.583741	0.2391250	81.38575	0.7111901	-0.9104010	-0.3045983
CANBALASC	T4_394	sureau	644	0.0185712	6.320667	0.1525887	51.93327	0.6910585	0.1443864	0.1675194

Alto-Tajo Armallones

General information

Attribute	Value
Plot name	Alto Tajo (Armallones)
Country	Spain
SAPFLUXNET code	ESP_ALT_ARM
SAPFLUXNET contributor (affiliation)	Alicia Forner (MNCN-CSIC)
FLUXNET/ICOS code
FLUXNET/ICOS contributor (affiliation)
Latitude (º)	40.7769
Longitude (º)	-2.3283
Elevation (m)	1079
Slope (º)	25.64
Aspect (º)	270
Parent material	Cretaceous and Jurassic limestone
Soil texture	Clay
MAT (ºC)	10.1
MAP (mm)	495
Forest stand	Sparse mixed forest dominated by three species
Stand LAI	10.1007/S11258-014-0351-x
Stand description DOI	1.09
Species simulated	Pinus nigra, Quercus faginea, Quercus ilex
Species parameter table	SpParamsES
Simulation period	2012-2013
Evaluation period	2012-2013

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	LAI	Cover
Pinus nigra	25.4720	1208.1085	94.36517	300	1200	0.2318096	NA
Quercus faginea	16.7450	752.6195	240.75280	529	2287	0.5673799	NA
Quercus ilex	22.3075	902.0182	90.43751	529	2287	0.2908105	NA
Herbaceous layer	NA	20.0000	NA	NA	NA	NA	10

Soil

widths	clay	sand	om	bd	rfc
300	21.8667	41.4	4.26	1.243333	45
700	23.8000	42.2	0.87	1.510000	65
1000	24.1000	41.7	0.55	1.560000	90
2500	24.1000	41.7	0.55	1.560000	95

Custom traits

Species	VCleaf_P12	VCleaf_P50	VCleaf_P88	VCleaf_slope	VCstem_P12	VCstem_P50	VCstem_P88	VCstem_slope	VCroot_P12	VCroot_P50	VCroot_P88	VCroot_slope	VCleaf_kmax	LeafEPS	LeafPI0	LeafAF	StemEPS	StemPI0	StemAF	Gswmin	Gswmax	Gs_P50	Gs_slope	Al2As
Pinus nigra	NA	NA	NA	NA	-0.9930548	-3.2	-5.406945	22.57	-0.2474341	-1.65	-3.052566	35.51402	NA	5.31	-1.5	0.6	5	-1.65	0.4	0.001	0.18	-1.871216	97.43590	1272
Quercus faginea	-4.004731	-5.25	-6.495269	40	-4.7396415	-6.4	-8.060358	30.00	-2.0047311	-3.25	-4.495269	40.00000	NA	15.00	-2.5	0.4	15	-2.50	0.4	0.002	0.22	-2.114188	44.70588	1488
Quercus ilex	-4.004731	-5.25	-6.495269	40	-4.7396415	-6.4	-8.060358	30.00	-2.0047311	-3.25	-4.495269	40.00000	2.63	15.00	-2.5	0.4	15	-2.50	0.4	0.002	0.22	-2.114188	44.70588	1541

Custom control

Remarks

Title	Remark
Soil	Taken from Soilgrids
Vegetation	Understory not considered
Sapflow	Scaling done using tree density and LAI

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Soil water content (SWC)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
ESPALTARM	T1_357	granier	627	-1.1530267	-76.93483	1.1904728	79.43339	0.5152036	-0.5270615	-0.0047696
ESPALTARM	T1_357	sperry	627	-1.2489553	-83.33559	1.2491133	83.34613	0.8298681	-0.4970636	-0.0542627
ESPALTARM	T1_357	sureau	627	-1.3108752	-87.46715	1.4215948	94.85483	0.0654928	-0.9151624	-0.1998386
ESPALTARM	T2_392	granier	537	-1.2626613	-73.44048	1.3024396	75.75411	0.8072240	-0.6730840	-0.1673612
ESPALTARM	T2_392	sperry	537	-0.6878325	-40.00657	0.9474072	55.10428	0.6734741	0.1166209	0.1508501
ESPALTARM	T2_392	sureau	537	-1.0951525	-63.69762	1.1303698	65.74597	0.8112555	-0.2296442	-0.0131371
ESPALTARM	T3_394	granier	628	-1.2873244	-78.72585	1.2888552	78.81947	0.8074908	-1.0212483	-0.3345416
ESPALTARM	T3_394	sperry	628	-0.7581360	-46.36353	0.7728455	47.26308	0.8819359	0.3272028	0.1997593
ESPALTARM	T3_394	sureau	628	-1.1280846	-68.98760	1.1395783	69.69049	0.7706570	-0.4987502	-0.1799732

Leaf water potential

## Error in if (df_site$Mode[[k]] != "granier") {: missing value where TRUE/FALSE needed

Site	Cohort	WP	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
ESPALTARM	T1_357	Midday	sperry	4	-1.8823586	-106.57374	1.8823586	106.57374	0.9656991	-65.7496237	-5.0235475
ESPALTARM	T1_357	Midday	sureau	4	-9.6737939	-547.70242	9.7926297	554.43056	-0.1644799	-1482.8693296	-30.3364151
ESPALTARM	T1_357	Predawn	sperry	4	-1.0547426	-94.17345	1.2096666	108.00594	0.9923175	-8.3935183	-1.7969169
ESPALTARM	T1_357	Predawn	sureau	4	-9.9608708	-889.36347	10.1801008	908.93758	-0.4264289	-741.2011051	-22.5378054
ESPALTARM	T2_392	Midday	sperry	4	-1.0172295	-39.90113	1.0172295	39.90113	0.8774845	-14.5855171	-3.3401790
ESPALTARM	T2_392	Midday	sureau	4	1.2711589	49.86159	1.3201147	51.78190	0.5719907	-28.0893053	-4.6324894
ESPALTARM	T2_392	Predawn	sperry	4	-1.2304261	-166.41435	1.2510030	169.19737	0.8744093	-9.0299375	-1.9413738
ESPALTARM	T2_392	Predawn	sureau	4	-0.0813345	-11.00044	0.4087554	55.28391	0.9654873	-0.1054423	0.0389292
ESPALTARM	T3_394	Midday	sperry	4	-1.4191383	-60.21271	1.4191383	60.21271	0.9946249	-3.7665083	-1.8015068
ESPALTARM	T3_394	Midday	sureau	4	0.9311895	39.50950	0.9311895	39.50950	0.9066835	-1.4801006	-0.8382519
ESPALTARM	T3_394	Predawn	sperry	4	-0.8457113	-74.14455	0.9629444	84.42252	0.8473820	-0.5757565	-0.1765644
ESPALTARM	T3_394	Predawn	sureau	4	0.3340068	29.28279	0.3340068	29.28279	0.9968815	0.8629790	0.5918970

Ronda

General information

Attribute	Value
Plot name	Ronda (Pilones)
Country	Spain
SAPFLUXNET code	ESP_RON_PIL
SAPFLUXNET contributor (affiliation)	Víctor Lechuga (UJaén)
FLUXNET/ICOS code
FLUXNET/ICOS contributor (affiliation)
Latitude (º)	36.692881
Longitude (º)	-5.019568
Elevation (m)	1734
Slope (º)	15
Aspect (º)	315
Parent material
Soil texture	Silty loam
MAT (ºC)	8.1
MAP (mm)	925
Forest stand	Mixed gimnosperm forest dominated by Abies pinsapo
Stand LAI	10.3390/f10121132
Stand description DOI	NA
Species simulated	Abies pinsapo, Taxus baccata
Species parameter table	SpParamsES
Simulation period	2011-2013
Evaluation period	2011-2013

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	Cover
Abies pinsapo	15.3	1256	486	NA	NA	NA
Taxus baccata	15.0	630	15	NA	NA	NA
Herbaceous layer	NA	10	NA	NA	NA	10

Soil

widths	clay	sand	om	bd	rfc	VG_theta_sat	VG_theta_res
300	18.96667	44.46667	3.97	1.276667	19.46667	0.55	0.1
700	19.65000	45.20000	1.18	1.420000	40.00000	0.55	0.1
1000	20.10000	45.70000	0.65	1.480000	80.00000	0.55	0.1
2500	20.10000	45.70000	0.00	1.480000	90.00000	0.55	0.1

Custom traits

Species	Al2As	LeafAngle
Abies pinsapo	2587.510	NA
Taxus baccata	6790.546	30

Custom control

Remarks

Title	Remark
Soil	Taken from SoilGrids with theta_sat and theta_res modified
Vegetation	LAI not available. Understory not considered except herbaceous layer
Weather	Complemented with interpolated weather
Sapflow	Species-level Huber value used for scaling. Revise scaling.

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Soil water content (SWC)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
RONDA	T1_2	granier	730	-0.2039726	-35.1064926	0.2451818	42.19916	0.7516074	0.1546505	0.1045173
RONDA	T1_2	sperry	730	0.0061551	1.0593762	0.1776540	30.57670	0.7878721	0.5089785	0.3511505
RONDA	T1_2	sureau	730	0.0003763	0.0647726	0.2374525	40.86885	0.7569577	0.1129686	0.1327471
RONDA	T2_490	granier	712	0.3964500	132.5619150	0.4084152	136.56276	0.7604728	-3.2999064	-1.1761360
RONDA	T2_490	sperry	712	0.3247356	108.5826296	0.3435079	114.85956	0.6873378	-2.1907404	-0.8302942
RONDA	T2_490	sureau	712	0.4122786	137.8545851	0.4465293	149.30706	0.6606020	-5.6737217	-1.3792171

Davos Seehornwald

General information

Attribute	Value
Plot name	Davos Seehornwald
Country	Switzerland
SAPFLUXNET code	CHE_DAV_SEE
SAPFLUXNET contributor (affiliation)	Roman Zweifel (WSL)
FLUXNET/ICOS code	CH-Dav
FLUXNET/ICOS contributor (affiliation)	Nina Buchmann (ETH)
Latitude (º)	46.81668
Longitude (º)	9.856198
Elevation (m)	1650
Slope (º)	0
Aspect (º)	0
Parent material
Soil texture	Loamy sand
MAT (ºC)	3.8
MAP (mm)	840
Forest stand	Subalpine coniferous (spruce) forest
Stand LAI	3.9
Stand description DOI	10.1007/s10021-011-9481-3
Species simulated	Picea abies
Species parameter table	SpParamsFR
Simulation period	2009-2011
Evaluation period	2009-2011

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	LAI
Picea abies	20	2800	830	NA	NA	3.9

Soil

widths	clay	sand	om	bd	rfc
300	13.53333	50.96667	9.176667	1.016667	12.73333
300	14.20000	51.80000	3.140000	1.300000	22.30000
400	15.30000	50.00000	3.530000	1.390000	23.90000
1000	15.20000	52.10000	3.550000	1.410000	80.00000
2500	15.20000	52.10000	3.550000	1.410000	90.00000

Custom traits

Species	Al2As
Picea abies	1975

Custom control

Remarks

Title	Remark
Soil	Taken from SoilGrids
Vegetation	No understory or secondary species considered
Weather	From fluxnet data
Sapflow	Species-level Huber value used for scaling

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = Hmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_H' not found

## Error: object 'df_all_H' not found

Latent heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = LEmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_LE' not found

## Error: object 'df_all_LE' not found

Gross primary productivity

## Error in rowSums(out$Plants$GrossPhotosynthesis): 'x' must be an array of at least two dimensions

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_GPP' not found

## Error: object 'df_all_GPP' not found

Soil water content (SWC.1)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Soil water content (SWC.3)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
DAVOS	T1_2602	granier	364	0.0433762	34.11646	0.0651225	51.22050	0.8657599	0.6549379	0.4705638
DAVOS	T1_2602	sperry	364	0.1443894	113.56594	0.1773161	139.46357	0.7204132	-1.5699177	-0.4415530
DAVOS	T1_2602	sureau	364	-0.0147769	-11.62239	0.0722495	56.82608	0.7553116	0.5526946	0.4126222

Lötschental

General information

Attribute	Value
Plot name	Lötschental
Country	Switzerland
SAPFLUXNET code	CHE_LOT_NOR
SAPFLUXNET contributor (affiliation)	Patrick Fonti (WSL)
FLUXNET/ICOS code
FLUXNET/ICOS contributor (affiliation)
Latitude (º)	46.3918
Longitude (º)	7.7613
Elevation (m)	1300
Slope (º)	36.87
Aspect (º)	0
Parent material	Calcareous
Soil texture	Loam
MAT (ºC)	5
MAP (mm)	716
Forest stand	Mixed evergreen Norway spruce and deciduous European larch forest
Stand LAI	3
Stand description DOI	10.1016/j.agrformet.2012.08.002
Species simulated	Picea abies, Larix decidua subsp. decidua
Species parameter table	SpParamsFR
Simulation period	2013-2016
Evaluation period	2013-2016

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	LAI
Larix decidua subsp. decidua	30.76667	1910.000	345.8887	NA	NA	1.417577
Picea abies	38.60000	1783.333	385.5873	NA	NA	1.580276

Soil

widths	clay	sand	om	bd	rfc	VG_theta_sat	VG_theta_res
100	23.2	42.13333	9.266667	1.083333	40	0.35	0.07
100	24.0	42.52000	5.220000	1.178000	40	0.40	0.10
200	23.3	43.70000	3.290000	1.273333	40	0.60	0.20
200	21.9	45.10000	2.550000	1.380000	45	0.32	0.10
400	22.2	47.40000	2.570000	1.450000	80	0.32	0.10
1000	22.8	46.10000	2.350000	1.490000	90	0.32	0.10
2000	22.8	46.10000	0.000000	1.490000	97	0.32	0.10

Custom traits

Species	Kmax_stemxylem	Al2As	LeafAngle	LeafAngleSD
Larix decidua subsp. decidua	20	3305	30	21
Picea abies	NA	1975	42	2

Custom control

Remarks

Title	Remark
Soil	Taken from SoilGrids with theta_sat and theta_res modified
Vegetation	Understory not considered. LAI not available
Weather	Complemented with weather station in the same valley for Radiation, Precipitation and WindSpeed (2013-2016); and all variables for 2016
Soil moisture	Provided by A. Cabon

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Soil water content (SWC.1)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Soil water content (SWC.3)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Soil water content (SWC.4)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
LOTSCHENTAL	T1_1956	granier	572	-0.6039623	-86.7662577	0.6116333	87.86829	0.4120099	-1.5697464	-0.5204192
LOTSCHENTAL	T1_1956	sperry	572	-0.6960797	-100.0000000	0.6960797	100.00000	NA	-2.2232712	-0.7303389
LOTSCHENTAL	T1_1956	sureau	572	-0.4549944	-65.3652704	0.5091861	73.15054	0.4158550	-0.7870801	-0.2657523
LOTSCHENTAL	T2_2602	granier	695	-0.1024756	-37.7279849	0.1673835	61.62482	0.4913074	0.0073525	0.0938739
LOTSCHENTAL	T2_2602	sperry	695	-0.2670687	-98.3254983	0.2705248	99.59791	0.0897168	-1.5920365	-0.4644792
LOTSCHENTAL	T2_2602	sureau	695	-0.0026150	-0.9627351	0.1366533	50.31103	0.6188276	0.2519476	0.2602309

Morgan-Monroe

General information

Attribute	Value
Plot name	Morgan-Mornoe
Country	USA
SAPFLUXNET code	USA_MOR_SF
SAPFLUXNET contributor (affiliation)	Koong Yi (Indiana University Bloomington)
FLUXNET/ICOS code	US-MMS
FLUXNET/ICOS contributor (affiliation)	Kim Novick (Indiana University)
Latitude (º)	39.323011
Longitude (º)	-86.413321
Elevation (m)	275
Slope (º)	0
Aspect (º)	0
Parent material
Soil texture	Silty clay loam
MAT (ºC)	12
MAP (mm)	1159
Forest stand	Mixed temperate forest
Stand LAI	5
Stand description DOI
Species simulated	Acer saccharum, Liriodendron tulipifera, Quercus rubra, Quercus alba
Species parameter table	SpParamsUS
Simulation period	2011-2013
Evaluation period	2011-2013

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	LAI	Cover
Acer saccharum	42.50	2700	NA	NA	NA	1.25	NA
Liriodendron tulipifera	62.75	2700	NA	NA	NA	1.25	NA
Quercus rubra	44.60	2700	NA	NA	NA	1.25	NA
Quercus alba	37.50	2700	NA	NA	NA	1.25	NA
Herbaceous layer	NA	20	NA	NA	NA	NA	10

Soil

widths	clay	sand	om	bd	rfc
300	24.70	8.166667	1.940	1.430	3.0
700	27.95	11.000000	0.265	1.645	4.3
1000	35.30	20.100000	0.180	1.740	75.0
2500	35.30	20.100000	0.000	1.740	95.0

Custom traits

Species	Al2As
Acer saccharum	7365.000
Liriodendron tulipifera	6658.333
Quercus rubra	5730.000
Quercus alba	6880.000

Custom control

Remarks

Title	Remark
Soil	Taken from SoilGrids
Vegetation	Understory not considered
Weather	Using FLUXNET weather
Soil moisture	Taken from FLUXNET data
Sapflow	Scaling and tree selection to be revised

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = Hmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_H' not found

## Error: object 'df_all_H' not found

Latent heat turbulent flux

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = LEmod): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 3, 2

## Error: object 'df_all_LE' not found

## Error: object 'df_all_LE' not found

Gross primary productivity

## Error in rowSums(out$Plants$GrossPhotosynthesis): 'x' must be an array of at least two dimensions

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_GPP' not found

## Error: object 'df_all_GPP' not found

Soil water content (SWC)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(..., check.names = FALSE): arguments imply differing number of rows: 4, 3

## Error: object 'df_all_SMC' not found

## Error: object 'df_all_SMC' not found

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
USAMORSF	T1_57	granier	159	0.1710568	97.18187	0.1710568	97.18187	0.4691369	-8.971652	-3.0662602
USAMORSF	T1_57	sperry	159	0.4238982	240.82768	0.4397722	249.84611	0.1225056	-136.783819	-9.4540007
USAMORSF	T1_57	sureau	159	-0.1760172	-100.00000	0.1760172	100.00000	NA	-9.063758	-3.1841758
USAMORSF	T2_1644	granier	154	0.1092573	48.54284	0.1365711	60.67830	0.1994919	-1.160739	-0.6515981
USAMORSF	T2_1644	sperry	154	-0.0417615	-18.55455	0.2440215	108.41831	-0.0860125	-6.084363	-1.9510297
USAMORSF	T2_1644	sureau	154	-0.2250741	-100.00000	0.2250741	100.00000	NA	-4.220847	-1.7218925
USAMORSF	T3_2591	granier	119	0.2126944	161.81646	0.2126944	161.81646	0.2014337	-40.748551	-8.7534912
USAMORSF	T3_2591	sperry	119	-0.1310615	-99.71073	0.1310615	99.71073	-0.2861297	-14.317325	-5.0100666
USAMORSF	T3_2591	sureau	119	-0.1314418	-100.00000	0.1314418	100.00000	NA	-14.397289	-5.0275024
USAMORSF	T4_2536	granier	119	0.2619603	264.35815	0.2619603	264.35815	0.1636680	-110.666245	-15.4781404
USAMORSF	T4_2536	sperry	119	-0.0984025	-99.30324	0.0984025	99.30324	-0.2017966	-14.626280	-5.1898329
USAMORSF	T4_2536	sureau	119	-0.0990930	-100.00000	0.0990930	100.00000	NA	-14.829472	-5.2332637

Sevilleta

General information

Attribute	Value
Plot name	Sevilleta
Country	USA
SAPFLUXNET code	USA_PJS_P04_AMB
SAPFLUXNET contributor (affiliation)	William Pockman (University of New Mexico, USA)
FLUXNET/ICOS code
FLUXNET/ICOS contributor (affiliation)
Latitude (º)	34.386389
Longitude (º)	-106.529444
Elevation (m)	1911
Slope (º)	1
Aspect (º)	0
Parent material
Soil texture	Sandy loam
MAT (ºC)	12.7
MAP (mm)	311
Forest stand	Mixed pine-juniper forest
Stand LAI	0.71
Stand description DOI	10.1890/ES11-00369.1
Species simulated	Pinus edulis, Juniperus monosperma
Species parameter table	SpParamsUS
Simulation period	2010-2016
Evaluation period	2010-2016

Model inputs

Vegetation

Species	DBH	Height	N	Z50	Z95	LAI	Cover
Pinus edulis	19.18	484.2	77	150	2500	0.0844801	NA
Juniperus monosperma	32.66	379.2	273	150	2500	0.6244180	NA
Herbaceous layer	NA	20.0	NA	NA	NA	NA	5

Soil

widths	clay	sand	om	bd	rfc	VG_theta_sat	VG_theta_res
100	18.66667	51.96667	1.3033333	1.450	18.6	0.2	0.001
100	22.68000	48.82000	1.1380000	1.502	40.0	0.2	0.001
200	24.50000	47.43333	0.8200000	1.530	50.0	0.2	0.001
300	23.18182	48.30909	0.4518182	1.550	55.0	0.2	0.001
300	21.80000	49.40000	0.2700000	1.550	65.0	0.2	0.001
1000	21.00000	51.90000	0.1600000	1.540	90.0	0.2	0.001
2500	21.00000	51.90000	0.0000000	1.540	95.0	0.2	0.001

Custom traits

Species	Kmax_stemxylem	Al2As
Pinus edulis	0.25	1872.270
Juniperus monosperma	0.25	2577.026

Custom control

Remarks

Title	Remark
Soil	Taken from SoilGrids with theta_sat and theta_res modified
Vegetation	Understory not considered

Macroclimate

Microclimate

## Error in xy.coords(x, y, xlabel, ylabel, log): 'x' and 'y' lengths differ

Runoff & deep drainage

## Error in plot.window(...): need finite 'xlim' values

Evaluation results

Soil water content (SWC.2)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

Site	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
SEVILLETA	granier	2178	0.002078	3.33171	0.0212112	34.0082	0.5898673	0.3287251	0.1994663
SEVILLETA	sperry	2178	0.002078	3.33171	0.0212112	34.0082	0.5898673	0.3287251	0.1994663
NA	NA	2178	0.002078	3.33171	0.0212112	34.0082	0.5898673	0.3287251	0.1994663

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

Soil water content (SWC.4)

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

Site	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
SEVILLETA	granier	2178	0.0243602	39.94145	0.030584	50.14622	0.0750284	-2.749334	-1.249642
SEVILLETA	sperry	2178	0.0243602	39.94145	0.030584	50.14622	0.0750284	-2.749334	-1.249642
NA	NA	2178	0.0243602	39.94145	0.030584	50.14622	0.0750284	-2.749334	-1.249642

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = sm[[var_mod]]): arguments imply differing number of rows: 0, 1

Transpiration per leaf area

Site	Cohort	Mode	n	Bias	Bias.rel	MAE	MAE.rel	r	NSE	NSE.abs
SEVILLETA	T1_2222	granier	1787	0.4943358	313.9768	0.4946026	314.1463	0.2514512	-21.435589	-4.716608
SEVILLETA	T2_1548	granier	1776	0.2305316	175.3820	0.2313366	175.9944	0.4977085	-7.728738	-2.179814

## Error in data.frame(Dates = as.Date(d), Observed = NA, Modelled = pt[, : arguments imply differing number of rows: 0, 1

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

2025-10-28

Introduction

List of sites

Parametrization and simulations

Evaluation variables

Structure of site reports

Wombat

General information

Model inputs

Vegetation

Soil

Custom traits

Custom control

Remarks

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

Latent heat turbulent flux

Gross primary productivity

Soil water content (SWC.1)

Transpiration per leaf area

Euc-FACE

General information

Model inputs

Vegetation

Soil

Custom traits

Custom control

Remarks

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

Latent heat turbulent flux

Gross primary productivity

Soil water content (SWC)

Transpiration per leaf area

Leaf water potential

Soroe

General information

Model inputs

Vegetation

Soil

Custom traits

Custom control

Remarks

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

Latent heat turbulent flux

Gross primary productivity

Soil water content (SWC)

Puéchabon

General information

Model inputs

Vegetation

Soil

Custom traits

Custom control

Remarks

Macroclimate

Microclimate

Runoff & deep drainage

Evaluation results

Sensible heat turbulent flux

Latent heat turbulent flux

Gross primary productivity

Soil water content (SWC.2)

Transpiration per leaf area

Leaf water potential

Hesse

General information

Model inputs