| data_mortality {MLFS} | R Documentation |
An example of joined national forest inventory data, site descriptors, and climate data that is used as a fitting data frame for mortality sub model
Description
This is simulated data that reassemble the national forest inventory data. We use it to show how to run examples for mortality sub model
Usage
data_mortality
Format
A data frame with 6394 rows and 25 variables:
- plotID
a unique identifier for plot
- treeID
a unique identifier for tree
- year
year in which plot was visited
- speciesGroup
identifier for species group
- code
status of a tree: 0 (normal), 1(harvested), 2(dead), 3 (ingrowth)
- species
species name
- 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