Data standards
The data standards define the format, accuracy, quality and range of the information on the dynamic gene conservation units of forest trees that has been entered into the EUFGIS database by the national focal points. Climatic variables have been obtained automatically from the WorldClim database.
Modelled
# | Global Identifier | Alias | Description | Data type | Level |
---|---|---|---|---|---|
1 | chr_FrostDamage | FD |
Risk of frost damage The simulated fraction of leaf buds killed by one or more frost events during the year #VulnerabilityMoreThe simulated fraction of leaf buds killed by one or more frost events during the year. The vulnerability of buds to late frosts depends on the stage of bud development. We use CASTANEA to model the process of breaking dormancy, during which this vulnerability increases. The damage is then calculated by crossing the vulnerability of the buds and the minimum temperatures.
|
float decimals 3 |
1 |
2 | chr_DessiccationTolerance | PLC |
Risk of desiccation during drought Simulated loss of hydraulic conductance #VulnerabilityMoreThe risk of tree desiccation during drought is related to the hydraulic failure which refers to the trees losing their ability to transport water during extreme drought. This phenomenon occurs during extreme drought due to xylem embolism (obstruction by air due to cavitation) and can trigger the complete death of the tree. Here, this risk is taken as the yearly maximum percent loss of hydraulic conductance of the plant (between 0 and 100 %). The closer to 100 the higher the risk. In general we assume that conifers die at 50% loss of hydraulic conductance whereas angioperms die at 90% loss of hydraulic conductance.
|
float decimals 3 |
1 |
3 | chr_CarbonStarvation | CS |
Risk of carbon starvation The simulated annual risk of mortality due to carbon starvation computed with the Castanea model MoreThe risk of mortality due to carbon starvation refers to the risk that trees will experience a lack of carbon reserves due to the multiple abiotic stresses that the trees may be exposed (frost, high temperature, drought)that progressively, year after year, alter the carbon balance of the trees. These processes are represented in the CASTANEA model which simulate photosynthesis, respiration and carbon allocation on a daily basis. The remaining carbon is allocated to reserves and remobilised in non-vegetative periods or during droughts. When the level of carbon storage decreases below a certain treshold a probability of mortality is estimated.
|
float decimals 3 |
2 |
4 | chr_VulWildFire | VulWildFire |
Vulnerability to wild fire The simulated GCU's canopy fuel moisture content which is a key driver of fire ignition and spread if there is an ignition source #VulnerabilityMoreThis risk refers to the probability that a GCU will dry out in such a way that the probability of fire increases, if there is ignition and the wind speed is significant. This risk is approximated by the modelled moisture content (g of water /g of leaf dry matter) of the canopy leaves of the GCU using the SurEau model. When the canopy moisture content reaches values below 66% the risk of flammability drastically increases. Here we provide yearly values of fuel moisture content.
|
float decimals 3 |
1 |
5 | chr_AvYearDroughtIdx | AvYearDroughtIdx |
Average yearly drought index The average of the number of days of the year with the soil relative water content below the treshold of 0.4 #VulnerabilityMoreThe relative soil water content in the rooting zone is a key indicator of drought. In particular, when the standardised value falls below the threshold of 0.4, trees have been shown to respond by limiting fluxes and losing turgor. The SurEau and Medfate models were used to calculate the daily water content and extract the annual number of days when the Relative Extractable soil Water (i.e. water available for the trees) was below the threshold of 0.4, then the annual average of the metric was taken to indicate the water deficit.
|
float decimals 2 |
1 |