A table containing one row for each published remote sensing-based yield curve. It includes aboveground biomass and total-volume curves fitted across Canada and within individual regions. Curves are available for tiles and four levels of Canada's ecological land classification.
Format
A table with 27,208 rows and 42 columns:
- model_id, model_version
Unique name for the curve and the RSYC release in which it was published.
- response, response_units
Forest measure (
agborvolume) and its units.- strata_type, strata_level, strata_id
Type and name of the area represented by the curve.
- ecozone_id, ecoprovince_id, ecoregion_id, ecodistrict_id
Raw identifiers for the four levels of the ecological hierarchy.
ecoprovince_idis stored as character; the other three are integers. Fields above the row's ecological level, and all four fields for tile rows, may be missing.- scale, region_id
Whether the curve was fitted across Canada or within a region, and the region name where applicable.
- species, model_group
Species code or broad species group.
- equation, age_min, age_max
Curve equation and age range. Published RSYC curves were fitted for stand ages 1 to 150 years.
- b1, b2, b3, b4
Chapman-Richards curve coefficients.
- b1_se, b2_se, b3_se, b4_se, sigma
Measures of uncertainty around the fitted curve.
- parent_b1_random_effect, parent_b1_var, local_b1_var, residual_var
Variance components and parent effects used by local calibration and retained for model provenance.
- has_cor_struct, has_var_struct, component_ok, component_message
Checks recorded while each curve was fitted.
- n_obs, n_units, converged, singular_or_boundary, fit_ok, publish_ok, model_message
Number of observations and forest units, together with checks used to decide whether the curve was suitable for publication.
Source
RSYC-Canada model products, version v20260923, upstream Git commit
c799aba24b5d99a6a7953a4dcab1dd73b0925c2c; source RDS SHA-256
193ebfc1f3279ffc278d84c917d206b4b4bcaeae95f38acf25d9c84a040bd1d5.
Examples
subset(
RSYC_models,
response == "volume" & strata_level == "ecozone" & species == "PICE.MAR"
)
#> # A tibble: 16 × 42
#> model_id model_version response response_units strata_type strata_level
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 rsyc_volume_n… v20260923 volume m3/ha eco_strata ecozone
#> 2 rsyc_volume_n… v20260923 volume m3/ha eco_strata ecozone
#> 3 rsyc_volume_n… v20260923 volume m3/ha eco_strata ecozone
#> 4 rsyc_volume_n… v20260923 volume m3/ha eco_strata ecozone
#> 5 rsyc_volume_n… v20260923 volume m3/ha eco_strata ecozone
#> 6 rsyc_volume_n… v20260923 volume m3/ha eco_strata ecozone
#> 7 rsyc_volume_n… v20260923 volume m3/ha eco_strata ecozone
#> 8 rsyc_volume_n… v20260923 volume m3/ha eco_strata ecozone
#> 9 rsyc_volume_n… v20260923 volume m3/ha eco_strata ecozone
#> 10 rsyc_volume_n… v20260923 volume m3/ha eco_strata ecozone
#> 11 rsyc_volume_n… v20260923 volume m3/ha eco_strata ecozone
#> 12 rsyc_volume_n… v20260923 volume m3/ha eco_strata ecozone
#> 13 rsyc_volume_r… v20260923 volume m3/ha eco_strata ecozone
#> 14 rsyc_volume_r… v20260923 volume m3/ha eco_strata ecozone
#> 15 rsyc_volume_r… v20260923 volume m3/ha eco_strata ecozone
#> 16 rsyc_volume_r… v20260923 volume m3/ha eco_strata ecozone
#> # ℹ 36 more variables: strata_id <chr>, ecozone_id <int>, ecoprovince_id <chr>,
#> # ecoregion_id <int>, ecodistrict_id <int>, scale <chr>, region_id <chr>,
#> # species <chr>, model_group <chr>, equation <chr>, age_min <int>,
#> # age_max <int>, b1 <dbl>, b2 <dbl>, b3 <dbl>, b4 <dbl>, b1_se <dbl>,
#> # b2_se <dbl>, b3_se <dbl>, b4_se <dbl>, sigma <dbl>,
#> # parent_b1_random_effect <dbl>, parent_b1_var <dbl>, local_b1_var <dbl>,
#> # residual_var <dbl>, has_cor_struct <lgl>, has_var_struct <lgl>, …