Data standards

The data standards define the format, accuracy, quality and range of the information on the dynamic genetic conservation units (GCUs) of forest trees that has been entered into the EUFGIS Information System. GCU and POPULATION information has been provided by the national focal points. For GENETIC, MODELLED, PHENOTYPIC and FORESTS the information has been produced by the FORGENIUS project. For ENVIRONMENTAL the climatic information has been obtained automatically from the CHELSA and WorldClim2 databases, site information from the EU-DEM Copernicus Land Monitoring Service (25-meter resolution dataset), data on vegetation from MODIS and in addition to external sources, some of the information comes from the FORGENIUS project.

Phenotypic

# Global Identifier Alias Description Data type Level
1 chr_AvHtot Mean.Htot Tree height mean

The mean of the vertical tree height across all measured trees

More

The mean of the values of tree height for 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a radius of 15 m. The tree height corresponds to the total vertical tree height from ground level to the upmost tip.

 

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decimals 1
2
2 chr_Htot_CI95 CI.Htot Total height 95% confidence interval

95% confidence interval for total height.

More

Difference between total height mean and the upper or lower bounds of the 95% confidence interval.

 

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decimals 2
N/A
3 chr_TurgorLossPoint TLP Leaf turgor loss point

The water potential at which leaves lose turgor.

More

Turgor loss point is an index of sensitivity of leaves to drought. It always has negative values. High (close to zero) values indicates high sensitivity to loss of turgor in leaves under drought. Smaller (more negative) values indicate greater drought tolerance. It is measured in the leaves taken from apical branches of each tree. The point of turgor loss is measured by osmometry on sap extracted from leaves. It has units of pressure (MegaPascals).

 

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decimals 2
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4 chr_AvTurgorLossPoint Mean.TLP Leaf turgor loss point mean

The mean of the water potential at which leaves lose turgor across all measured trees

More

The mean of the values of leaf turgor loss point for the apical branches of 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a radius of 15 m.

 

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decimals 1
1
5 chr_VarTurgorLossPoint Var.TLP Leaf turgor loss point variance

The variance of the water potential at which leaves lose turgor across all measured trees

More

The variance of the values of leaf turgor loss point for the apical branches of 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a radius of 15 m.

 

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decimals 1
1
6 chr_TurgorLossPoint_CI95 CI.TLP Leaf turgor loss point 95% confidence interval

95% confidence interval for leaf turgor loss point.

More

Difference between leaf turgor loss point mean and the upper or lower bounds of the 95% confidence interval.

 

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decimals 2
N/A
7 chr_P50 P50 Xylem vulnerability to embolism

The water potential at which 50% of the xylem hydraulic conductivity is lost.

More

When a stem is drought stressed, it begins to form air bubbles inside its conduits, like in the blood of divers. These bubbles prevents the tree from being able to transport water from roots to leaves. If this continues, the tree eventually dessiccates at the top. The easyness by which these bubbles are formed is called vulnerability to embolism. It is an index of drought sensitivity (the inverse of resistance) of the wood of plants. Vulnerability to embolism is always a negative number. High values (close to zero) indicate high sensitivity to drought stress. Low values (more negative) indicate greater drought resistance. Tree level data. It is measured using a rotary instrument called cavitron. It is measured in the apical branches of each tree.

 

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decimals 2
N/A
8 chr_AvP50 Mean.P50 Xylem vulnerability to embolism mean

The mean of the water potential at which 50% of the xylem capacity to conduct water to the leaves is lost across all measured trees

More

The mean of the values of xylem vulnerability to embolism for the apical branches of 10 measured adult dominant/co-dominant trees sampled either inside or in the vicinity of a representative circular plot with a 15 m radius. When a tree is droughted, its xylem is vulnerable to losing its capacity to conduct water to the leaves, i.e., its hydraulic conductivity, because of the formation of air emboli inside the xylem conduits.

 

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decimals 1
1
9 chr_VarP50 Var.P50 Xylem vulnerability to embolism variance

The variance of the water potential at which 50% of the xylem capacity to conduct water to the leaves is lost across all measured trees

More

The variance of the values of xylem vulnerability to embolism for the apical branches of 10 measured adult dominant/co-dominant trees sampled either inside or in the vicinity of a representative circular plot with a 15 m radius. When a tree is droughted, its xylem is vulnerable to losing its capacity to conduct water to the leaves, i.e., its hydraulic conductivity, because of the formation of air emboli inside the xylem conduits.

 

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decimals 1
1
10 chr_P50_CI95 CI.P50 Xylem vulnerability to embolism 95% confidence interval

95% confidence interval for xylem vulnerability to embolism.

More

Difference between xylem vulnerability to embolism mean and the upper or lower bounds of the 95% confidence interval.

 

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decimals 2
N/A
11 chr_Gres Gres Residual conductance

The leaf water vapour conductance remaining after stomatal closure.

#Vulnerability
More

When a branch is under severe drought stress, it does not have the capacity to entirely stop its water losses. The branch continues to lose water slowly from the surfaces of its leaves and bark. This eventually leads to dessiccation and death of the living cells. Residual (or minimum) leaf conductance is an index of lack of drought resistance (its inverse, i.e., residual resistance, is an index of drought resistance). High values of conductance (low values of resistance) indicate a reduced capacity to minimise these losses. Small values (close to zero) indicate a high capacity to withstand long droughts. The residual conductance is the rate at which this unavoidable evaporation takes place. It is measured by weight loss under standard conditions in the laboratory. It is measured in the apical branches of each tree.

 

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decimals 2
N/A
12 chr_AvGres Mean.Gres Residual conductance mean

The mean of the leaf water vapour conductance remaining after stomatal closure across all measured trees

More

The mean of the values of leaf residual conductance for the apical leaves of 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a radius of 15 m. During a severe drought, following the closure of the stomata, trees continue slowly to lose water. A high residual conductance implies a high sensitivity to severe droughts because it favours desiccation.

 

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decimals 2
1
13 chr_VarGres Var.Gres Residual conductance variance

The variance of the leaf water vapour conductance remaining after stomatal closure across all measured trees

More

The variance of the values of leaf residual conductance for the apical leaves of 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a radius of 15 m. During a severe drought, following the closure of the stomata, trees continue slowly to lose water. A high residual conductance implies a high sensitivity to severe droughts because it favours desiccation.

 

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decimals 2
1
14 chr_Gres_CI95 CI.Gres Leaf residual conductance 95% confidence interval

95% confidence interval for leaf residual conductance.

More

Difference between leaf residual conductance mean and the upper or lower bounds of the 95% confidence interval.

 

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decimals 2
N/A
15 chr_AvCbranch Mean.Cbranch Hydraulic capacitance mean

The mean of the change in the branch relative water content (RWC) per unit change in water potential across all measured trees

More

The mean of the values of hydraulic capacitance for the apical branches of 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a radius of 15 m. Capacitance is the change in % relative water content (i.e., water content relative to its maximum value at saturation) per unit change in water potential. During a severe drought, if capacitance is high, the tree is capable of exploiting its own water reserves to delay desiccation.

 

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decimals 2
1
16 chr_VarCbranch Var.Cbranch Hydraulic capacitance variance

The variance of the change in branch relative water content (RWC) per unit change in water potential across all measured trees

More

The variance of the values of hydraulic capacitance for the apical branches of 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a radius of 15 m. Capacitance is the change in % relative water content (i.e., water content relative to its maximum value at saturation) per unit change in water potential. During a severe drought, if capacitance is high, the tree is capable of exploiting its own water reserves to delay desiccation.

 

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decimals 2
1
17 chr_HuberValue HV Huber value

The ratio of under-bark wood cross-sectional area to subtended leaf area in a branch.

#Distinctiveness
More

The Huber Value is the ratio of sapwood cross-sectional area to leaf area above the sapwood cross-section. It is an index of investment of dry matter in either leaves or wood. It represents the investment in the production of branch wood required for the conduction of water towards the transpiring leaves subtended by that cross-section. A high Huber value indicate an conservative plant, i.e., a plant that does not develop a large leaf area but rather prefers to build a large supporting wooden structure. A low Huber value indicates an acquisitive plant, with large leaf area, but low water supply capacity. It is measured in the apical branches of each tree. Tree level data.

 

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decimals 2
N/A
18 chr_AvHuberValue Mean.HV Huber value mean

The mean of the ratio of under-bark sapwood cross-sectional area to the leaf area distal to the cross-section in all measured trees

More

The mean of the Huber values for the apical branches of 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a radius of 15 m. The ratio of under-bark sapwood cross-sectional area to the leaf area distal to the cross-section is a measure of allocation of assimilates to build either leaf area for photosynthesis or sapwood (i.e., wood capable of conducting water) to supply the leaves with water. A tree with high Huber values is efficient in providing support to the leaves, but may not invest in high leaf areas. The Huber value is determined on one branch for each of the 10 measufred trees.

 

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decimals 2
2
19 chr_VarHuberValue Var.HV Huber value variance

The variance of the ratio of under-bark sapwood cross-sectional area to subtended leaf area in a branch across all measured trees

More

The variance of the Huber values for the apical branches of 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a radius of 15 m. The ratio of under-bark sapwood cross-sectional area to the leaf area distal to the cross-section is a measure of allocation of assimilates to build either leaf area for photosynthesis or sapwood (i.e., wood capable of conducting water) to supply the leaves with water. A tree with high Huber values is efficient in providing support to the leaves, but may not invest in high leaf areas. The Huber value is determined on one branch for each of the 10 measufred trees.

 

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decimals 2
2
20 chr_HuberValue_CI95 CI.HV Huber value 95% confidence interval

95% confidence interval for Huber value.

More

Difference between Huber value mean and the upper or lower bounds of the 95% confidence interval.

 

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decimals 2
N/A
21 chr_BasalCrownHeight Hcrown Basal crown height

Vertical tree height from ground level to the lowermost live branch on the main stem.

More

A measure of tree size, tree basal crown height in m is measured with a clinometer. Tree level data.

 

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decimals 2
N/A
22 chr_BasalCrownHeight_CI95 CI.Hcrown Basal crown height 95% confidence interval

95% confidence interval for basal crown height.

More

Difference between basal crown height mean and the upper or lower bounds of the 95% confidence interval.

 

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decimals 2
N/A
23 chr_SpecLeafArea SLA Specific leaf area

The ratio between the projected area of a fresh leaf and its dry mass.

#Distinctiveness
More

SLA is the ratio of investment of dry matter into leaves and the return in terms of area for photosynthesis. The area is projected for broadleaves but accounts for cylindrical geometry for conifer needles.

 

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decimals 2
N/A
24 chr_AvSpecLeafArea Mean.SLA Specific leaf area mean

The mean of the ratio of half of the total area of a fresh leaf to its dry mass across all measured trees

More

The mean of the values of specific leaf area for the apical leaves of 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a 15 m radius. Specific leaf area (SLA) is a measure of the return of photosynthetic assimilates via leaf surface display per unit leaf biomiass investment. Leaves with high SLA are said to be acquisitive leaves. They are photosynthetically more productive per unit of mass invested and per unit of time, but they generally have a shorter lifespan, which lowers their cumulative return.

 

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decimals 2
1
25 chr_VarSpecLeafArea Var.SLA Specific leaf area variance

The variance of the ratio of half of the total area of a fresh leaf to its dry mass across all measured trees

More

The variance of the values of specific leaf area for the apical leaves of 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a 15 m radius. Specific leaf area (SLA) is a measure of the return of photosynthetic assimilates via leaf surface display per unit leaf biomiass investment. Leaves with high SLA are said to be acquisitive leaves. They are photosynthetically more productive per unit of mass invested and per unit of time, but they generally have a shorter lifespan, which lowers their cumulative return.

 

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decimals 2
1
26 chr_SpecLeafArea_CI95 CI.SLA Specific leaf area 95% confidence interval

95% confidence interval for specific leaf area.

More

Difference between specific leaf area mean and the upper or lower bounds of the 95% confidence interval.

 

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decimals 2
N/A
27 chr_WoodDensity WD Wood density

The ratio of wood dry mass divided by its fresh volume.

#Distinctiveness
More

Wood density is an index of investments of dry biomass in wood. It represents the biomass invested per unit of wood volume. A plant with high values of wood density is a conservative plant. A plant with high values of wood density is an acquisitive plant. Wood density helps to maintain mechanical support. However, high wood density results in low capacity to transport water and store carbohydrates. It is obtained by weighing and following determination of volume. It is measured at the base of apical branches of each tree.

 

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decimals 2
N/A
28 chr_AvWoodDensity Mean.WD Wood density mean

The mean of the ratio of dry mass to fresh volume of a branch wood sample across all measured trees

More

Mean of the values of branch wood density for the apical branches of 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a radius of 15 m. Wood density is a measure of mass invested per unit of volume. High density wood is generally correlated with long wood lifespan, high resistance to pathogen attacks and mechanical damage. It also relates inversely to volumetric growth, hence trees with high wood density are said to be resource conservative.

 

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decimals 2
1
29 chr_VarWoodDensity Var.WD Wood density variance

The variance of the ratio of dry mass to fresh volume of a branch wood sample across all measured trees

More

Variance of the values of branch wood density for the apical branches of 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a radius of 15 m. Wood density is a measure of mass invested per unit of volume. High density wood is generally correlated with long wood lifespan, high resistance to pathogen attacks and mechanical damage. It also relates inversely to volumetric growth, hence trees with high wood density are said to be resource conservative.

 

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decimals 2
1
30 chr_WoodDensity_CI95 CI.WD Wood density 95% confidence interval

95% confidence interval for wood density.

More

Difference between wood density mean and the upper or lower bounds of the 95% confidence interval.

 

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decimals 2
N/A
31 chr_Dieback Dieback Dieback

The dieback index is an estimation of the level of decline for each tree in 4 classes corresponding to a defoliation percentage assessment.

#Vulnerability
More

Assessment for each Functional Subset tree.

0 = 0 to 25% of defoliation

1 = 25 to 50%of defoliation

2 = 50 to 75 % of defoliation

3 = 75% to 99% of defoliation (dead = 100 % = not a FS tree).

See the WP2 protocol for more informations

 

0 = 0 to 25% of defoliation
1 = 25 to 50%of defoliation
2 = 50 to 75 % of defoliation
3 = 75% to 99% of defoliation
Only one choice possible

N/A
32 chr_SapWoodAreaTrunk SapWoodAreaTrunk Sapwood area trunk

The sapwood area of the tree at 1.30m height based on the measurement of the length of the sapwood estimated from a wood core.

More

Sapwood areas is calculated from:

- the under-bark total lenght of the core measured on the tree ring core after collection.

- the sapwood lenght measured on the tree ring core after collection.

- the bark lenght measured on the tree ring core after collection.

The calculation of sapwood area is weighted by the value of the breast height trunk circumference.

See the WP2 protocol for more information.

 

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decimals 2
N/A
33 chr_AvSapWoodAreaTrunk AvSapWoodAreaTrunk Sapwood area trunk mean

The mean of the sapwood area across all measured trees

More

The mean of the values of the sapwood area across 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a radius of 15 m. The sapwood area is based on the measurement of the length of the sapwood estimated from a wood core collected at breast height (1.3 m). This sapwood area is the calculated (in cm2) using the Trunk circumference.

 

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decimals 1
2
34 chr_VarSapWoodAreaTrunk VarSapWoodAreaTrunk Sapwood area trunk variance

The variance of the sapwood area across all measured trees

More

The variance of the values of the sapwood area across 10 measured adult dominant or co-dominant trees sampled either inside or in the vicinity of the representative circular plot with a radius of 15 m. The sapwood area is based on the measurement of the length of the sapwood estimated from a wood core collected at breast height (1.3 m). This sapwood area is the calculated (in cm2) using the [Trunk circumference].

 

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decimals 1
2
35 chr_CrownArea CrownArea Crown area

Area of the tree crown area estimated by 4 length projected in the 4 directions: North-East-South and West for each Functional Subset tree.

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decimals 2
N/A
36 chr_CoreYear CoreYear Core year

Year of birth of the tree estimated from the tree core collected at breast height on each FS tree.

More

year of birth of the tree estimated from the tree core collected at breast height on each FS tree by PHENOBOIS platform (INRAE, Frédéric LAGANE, Bordeaux).

 

number

N/A