This function calculates for each plot and year some values per hectare: number of tree species, number of trees, basal area and volume.
calc_dendro_plot(data_dendro_calc, data_deadwood, plotinfo)
dataframe on tree measures with variables plot_id
,
plottype
, tree_measure_id
, date_dendro
, dbh_mm
, height_m
,
species
, alive_dead
, decaystage
, vol_tot_m3
, basal_area_m2
,
period
, old_id
, year
, subcircle
, plotarea_ha
,...
(output of function calc_variables_tree_level()
)
dataframe on logs with variables plot_id
, plottype
,
date_dendro
, species
, decaystage
, calc_volume_m3
, period
and year
(output of function load_data_deadwood()
)
dataframe on surveyed plots with variables plot_id
,
plottype
, forest_reserve
, survey_trees
, survey_deadw
, period
and
year_dendro
(output of function load_plotinfo()
)
dataframe with columns plot, year, number_of_tree_species, number_of_trees_ha, basal_area_m2_ha, volume_m3_ha
library(forrescalc)
# (add path to your own fieldmap database here)
path_to_fieldmapdb <-
system.file("example/database/mdb_bosres.sqlite", package = "forrescalc")
data_dendro <- load_data_dendrometry(path_to_fieldmapdb)
data_shoots <- load_data_shoots(path_to_fieldmapdb)
data_deadwood <- load_data_deadwood(path_to_fieldmapdb)
data_stems <- compose_stem_data(data_dendro, data_shoots)
# omit argument 'example_dataset = TRUE' below to use all height models
height_model <- load_height_models(example_dataset = TRUE)
data_stems_calc <- calc_variables_stem_level(data_stems, height_model)
data_dendro_calc <- calc_variables_tree_level(data_dendro, data_stems_calc)
plotinfo <- load_plotinfo(path_to_fieldmapdb)
#> Joining with `by = join_by(forest_reserve, plot_id, plottype, survey_trees)`
calc_dendro_plot(data_dendro_calc, data_deadwood, plotinfo)
#> # A tibble: 17 × 16
#> plottype plot_id year period number_of_tree_species number_of_trees_ha
#> <chr> <int> <int> <dbl> <int> <dbl>
#> 1 CA 11000 1986 0 2 0.558
#> 2 CA 11000 2000 1 3 0.651
#> 3 CA 11000 2010 2 3 0.558
#> 4 CA 11000 2020 3 3 0.558
#> 5 CA 21000 2008 1 4 28.6
#> 6 CA 21000 2018 2 3 26.5
#> 7 CA 141100 2007 1 2 8
#> 8 CA 141100 2016 2 2 4
#> 9 CP 101 2002 1 3 364.
#> 10 CP 101 2012 2 2 206.
#> 11 CP 204 2000 1 1 23.9
#> 12 CP 204 2011 2 1 23.9
#> 13 CP 1005 2006 1 1 42.4
#> 14 CP 1005 2016 2 1 42.4
#> 15 CP 2006 2000 1 1 10.6
#> 16 CP 2006 2010 2 1 10.6
#> 17 CP 2006 2020 3 1 10.6
#> # ℹ 10 more variables: stem_number_ha <dbl>, basal_area_alive_m2_ha <dbl>,
#> # basal_area_dead_m2_ha <dbl>, vol_alive_m3_ha <dbl>,
#> # vol_dead_standing_m3_ha <dbl>, vol_bole_alive_m3_ha <dbl>,
#> # vol_bole_dead_m3_ha <dbl>, vol_log_m3_ha <dbl>, vol_deadw_m3_ha <dbl>,
#> # stems_per_tree <dbl>