| data_v6 {MLFS} | R Documentation |
An example of joined national forest inventory and site data that is used within the MLFS
Description
This is simulated data that reassemble the national forest inventory data. We use it to show how to run examples for simulating Basal Area Increments (BAI) and the ingrowth of new trees. To make examples running more quickly, we keep only one tree species: PINI
Usage
data_v6
Format
A data frame with 186 rows and 27 variables:
- species
species name
- year
year in which plot was visited
- plotID
a unique identifier for plot
- treeID
a unique identifier for tree
- speciesGroup
identifier for species group
- code
status of a tree: 0 (normal), 1(harvested), 2(dead), 3 (ingrowth)
- height
tree height in meters
- crownHeight
crown height in meters
- protected
logical, 1 if protected, otherwise 0
- slope
slope on a plot
- elevation
plot elevation
- northness
plot northness, 1 is north, 0 is south
- siteIndex
a proxy for site index, higher value represents more productive sites
- BA
basal area of individual trees in m2
- weight
upscale weight to calculate hectare values
- stand_BA
Total stand basal area
- stand_n
The number of trees in a stand
- BAL
Basal Area in Large trees
- p_BA
basal area of individual trees in m2 from previous simulation step
- p_height
tree height in meters from previous simulation step
- p_crownHeight
crown height in meters from previous simulation step
- p_weight
upscale weight to calculate hectare values from previous simulation step
- BAI
basal area increment
- p_sum
monthly precipitation sum
- t_avg
monthly mean temperature
- volume
tree volume in m3
- p_volume
tree volume in m3 from previous simulation step