Spatially explicit data on global forest management is essential for understanding forest status and planning for sustainability and conservation efforts.
Researchers created a reference dataset and a detailed global forest management map, detailing different management classes like intact forests and plantations, using expert input and crowdsourcing.
The dataset includes 226,000 unique locations and utilizes PROBA-V satellite imagery to produce a 100m resolution map for 2015, achieving accuracy rates between 58% and 80%.
Since the collapse of the Soviet Union and transition to a new forest inventory system, Russia has reported almost no change in growing stock (+ 1.8%) and biomass (+ 0.6%).