Human-population nitrogen rate per inhabitant.
Source:R/datasets_balances.R
human_kgn_cap_total_reference.RdThe calibration nitrogen per inhabitant,
human_n_reference$human_n_gg * 1e6 / calibration_population, where
calibration_population is the calibration country's UN WPP 2024
total population. It is the rate build_human_n() applies under its
default population_basis = "total", whose population level is the UN
WPP total (build_total_population_grid()), and the counterpart of
human_kgn_cap_reference (kg N per URBAN inhabitant). Pairing each
population with the rate on its own basis is what lets either basis
regenerate its calibration total; applying the per-urban-inhabitant rate
to a total population would scale the term by the inverse urban fraction
(global WPP total over HYDE urban population: 3.02 in 1960, 2.01 in 2010,
1.91 in 2017).
The series starts at 1950, the first year UN WPP covers, so the 1860 and
1900 benchmarks of human_n_reference have no row here. The same
calibration series is applied as a global default under either basis; see
build_human_n().
Format
A tibble with columns:
- year
Benchmark calendar year.
- human_kgn_cap
Human-population nitrogen applied to agriculture per inhabitant (kg N per person per year).
- calibration_population
The calibration country's total population that year (persons), the denominator, from
read_wpp_population()withby = "total".
Source
Derived from human_n_reference and United Nations, Department of
Economic and Social Affairs, Population Division (2024), World
Population Prospects 2024, medium variant
(WPP2024_PopulationByAge5GroupSex_Medium.csv.gz); see
data-raw/build_human_kgn_cap.R.
Examples
human_kgn_cap_total_reference
#> # A tibble: 8 × 3
#> year human_kgn_cap calibration_population
#> <dbl> <dbl> <dbl>
#> 1 1950 0.430 28077050
#> 2 1990 0.431 39084978
#> 3 2000 0.704 41019777
#> 4 2008 0.931 46235055
#> 5 2016 1.07 46732771
#> 6 2018 1.16 47092820
#> 7 2020 1.08 47679489
#> 8 2022 1.28 47828383