Birch Forest Biomass and NPP Models for Eurasia with Climate Sensitivity

650 forest stands provide biomass data and 245 stands provide NPP data for Betula spp. (birch) across Eurasia. The dataset, created by V. A. Usoltsev of the Ural State Forestry Engineering University, models ecosystem biomass and annual net primary production in relation to winter temperature and annual precipitation. The models incorporate regional forest age and morphology to predict changes in biological productivity due to climate change.

Use Cases

• Modeling forest carbon sequestration potential based on biomass and NPP data.
• Assessing the impact of winter temperature and annual precipitation on birch species growth.
• Predicting changes in Eurasian forest productivity under different climate change scenarios.
• Applying the Liebig-Shelford principle of limiting factors to forest ecosystem analysis.

Strengths

• Data from 650 forest stands for biomass modeling.
• Includes 245 stands with both NPP and biomass data.
• Models incorporate regional forest age and morphology peculiarities.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

V. А. Usoltsev, Ural State Forestry Engineering University

Collection Method

Data collected from forest stands across Trans-Eurasian hydrothermal gradients.

Geography

Eurasia