Apply temporal adjustment to plot biomass
TempApply.RdThis function adjusts plot biomass values to align with the map year by adding or subtracting annual growth increment to older or newer plots. It uses growth data from a model-based estimate of growth-age relationships.
Arguments
- plt
A data frame or sf object containing plot data. For data frame input format, longitude and latitude coordinates should be placed under "POINT_X" and "POINT_Y" columns respectively in WGS 84 CRS.
- map_year
Numeric value indicating the AGB map year.
- gez
Character string specifying the Global Ecological Zones (GEZ) of interest to apply. If "all" (default), all GEZ in plt will be calculated.
Examples
set.seed(42)
sample_plots <- plots[sample(nrow(plots), 10), ]
sample_plots
#> PLOT_ID POINT_X POINT_Y AGB_T_HA AVG_YEAR SIZE_HA
#> 2369 EU2 1.3059145 42.59214 87.87177 2001 0.196
#> 5273 EU2 -0.1585048 42.63245 150.97321 2004 0.196
#> 1252 EU2 -1.0662342 39.61600 58.63558 2006 0.196
#> 356 EU2 -5.1210978 40.02713 37.31206 2004 0.196
#> 7700 EU1 15.2187262 59.81792 67.79700 2008 0.015
#> 3954 EU2 -7.1823899 37.34714 94.59592 2007 0.196
#> 5403 EU2 -7.2162433 37.34765 45.56841 2007 0.196
#> 932 EU2 -2.7070556 42.68534 55.14102 2003 0.196
#> 5637 AUS1 145.8683679 -20.69546 53.69000 2004 0.160
#> 4002 EU2 -3.9889352 40.33963 46.49786 2000 0.196
sample_plots_gez <- BiomePair(sample_plots)
sample_plots_gez
#> PLOT_ID AGB_T_HA AVG_YEAR SIZE_HA POINT_X POINT_Y ZONE
#> 1 AUS1 53.69000 2004 0.160 145.8683679 -20.69546 Australia
#> 2 EU1 67.79700 2008 0.015 15.2187262 59.81792 Europe
#> 3 EU2 87.87177 2001 0.196 1.3059145 42.59214 Europe
#> 4 EU2 94.59592 2007 0.196 -7.1823899 37.34714 Europe
#> 5 EU2 45.56841 2007 0.196 -7.2162433 37.34765 Europe
#> 6 EU2 58.63558 2006 0.196 -1.0662342 39.61600 Europe
#> 7 EU2 37.31206 2004 0.196 -5.1210978 40.02713 Europe
#> 8 EU2 46.49786 2000 0.196 -3.9889352 40.33963 Europe
#> 9 EU2 150.97321 2004 0.196 -0.1585048 42.63245 Europe
#> 10 EU2 55.14102 2003 0.196 -2.7070556 42.68534 Europe
#> FAO.ecozone GEZ
#> 1 Tropical shrubland Tropical
#> 2 Boreal coniferous forest Boreal
#> 3 Temperate mountain system Temperate
#> 4 Subtropical dry forest Subtropical
#> 5 Subtropical dry forest Subtropical
#> 6 Subtropical dry forest Subtropical
#> 7 Subtropical dry forest Subtropical
#> 8 Subtropical dry forest Subtropical
#> 9 Temperate mountain system Temperate
#> 10 Subtropical mountain system Subtropical
resultApply <- TempApply(sample_plots_gez, 2004)
resultApply
#> PLOT_ID AGB_T_HA AVG_YEAR SIZE_HA POINT_X POINT_Y ZONE
#> 1 EU2 97.17177 2001 0.196 1.3059145 42.59214 Europe
#> 2 EU2 62.49786 2000 0.196 -3.9889352 40.33963 Europe
#> 3 EU2 57.64102 2003 0.196 -2.7070556 42.68534 Europe
#> 4 EU1 63.39700 2008 0.015 15.2187262 59.81792 Europe
#> 5 EU2 82.59592 2007 0.196 -7.1823899 37.34714 Europe
#> 6 EU2 33.56841 2007 0.196 -7.2162433 37.34765 Europe
#> 7 EU2 50.63558 2006 0.196 -1.0662342 39.61600 Europe
#> 8 AUS1 53.69000 2004 0.160 145.8683679 -20.69546 Australia
#> 9 EU2 37.31206 2004 0.196 -5.1210978 40.02713 Europe
#> 10 EU2 150.97321 2004 0.196 -0.1585048 42.63245 Europe
#> FAO.ecozone GEZ AGB_T_HA_ORIG
#> 1 Temperate mountain system Temperate 87.87177
#> 2 Subtropical dry forest Subtropical 46.49786
#> 3 Subtropical mountain system Subtropical 55.14102
#> 4 Boreal coniferous forest Boreal 67.79700
#> 5 Subtropical dry forest Subtropical 94.59592
#> 6 Subtropical dry forest Subtropical 45.56841
#> 7 Subtropical dry forest Subtropical 58.63558
#> 8 Tropical shrubland Tropical 53.69000
#> 9 Subtropical dry forest Subtropical 37.31206
#> 10 Temperate mountain system Temperate 150.97321
resultVar <- TempVar(sample_plots_gez, 2004)
resultVar
#> PLOT_ID AGB_T_HA AVG_YEAR SIZE_HA POINT_X POINT_Y ZONE
#> 1 EU2 98.67177 2001 0.196 1.3059145 42.59214 Europe
#> 2 EU2 58.49786 2000 0.196 -3.9889352 40.33963 Europe
#> 3 EU2 57.01602 2003 0.196 -2.7070556 42.68534 Europe
#> 4 EU1 67.79700 2008 0.015 15.2187262 59.81792 Europe
#> 5 EU2 85.59592 2007 0.196 -7.1823899 37.34714 Europe
#> 6 EU2 36.56841 2007 0.196 -7.2162433 37.34765 Europe
#> 7 EU2 52.63558 2006 0.196 -1.0662342 39.61600 Europe
#> 8 AUS1 53.69000 2004 0.160 145.8683679 -20.69546 Australia
#> 9 EU2 37.31206 2004 0.196 -5.1210978 40.02713 Europe
#> 10 EU2 150.97321 2004 0.196 -0.1585048 42.63245 Europe
#> FAO.ecozone GEZ sdGrowth
#> 1 Temperate mountain system Temperate 10.800
#> 2 Subtropical dry forest Subtropical 12.000
#> 3 Subtropical mountain system Subtropical 1.875
#> 4 Boreal coniferous forest Boreal 0.000
#> 5 Subtropical dry forest Subtropical 9.000
#> 6 Subtropical dry forest Subtropical 9.000
#> 7 Subtropical dry forest Subtropical 6.000
#> 8 Tropical shrubland Tropical 0.000
#> 9 Subtropical dry forest Subtropical 0.000
#> 10 Temperate mountain system Temperate 0.000