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Read-in an FRA (forest resource assessment) dataset from 2025. Three subtypes are added compared to FRA2020: expansion, afforestation, net_change. Three files are required for running: FRA_Years_2025.csv, Annual_2025.csv and Intervals_2025.csv.

Usage

readFRA2025(subtype)

Arguments

subtype

data subtype. Available subtypes: forest_area, deforestation, growing_stock, biomass_stock, carbon_stock, management, disturbance, forest_fire, expansion, afforestation, net_change

Value

Magpie object of the FRA 2025 data

See also

[readSource()]

Author

Simin Yu

Examples

if (FALSE) { # \dontrun{
a <- readSource("FRA2025", "growing_stock")
} # }