LAVESI-FIRE: Long-Term Wildfire and Forest Structure Simulations for Central Yakutia

Simulation output from the individual-based, spatially explicit LAVESI-FIRE model for Central Yakutia, Siberia. The data includes timeseries of tree abundance, climate, and fire occurrence, as well as spatial grid data for multiple tree species. It was produced by Ramesh Glückler of the Alfred Wegener Institute to study long-term wildfire impacts on boreal forest structure since the Last Glacial Maximum.

Use Cases

• Analyzing long-term trends in tree abundance and fire occurrence based on the annual simulation timestep data.
• Modeling spatial distributions of specific tree species (e.g., Larix gmelinii, Picea obovata) based on the gridded biomass data.
• Investigating relationships between environmental variables, tree density, and fire occurrence using the gridded spatial data files.
• Validating or comparing other vegetation or wildfire models against the simulated output for Siberia.

Strengths

• Data is linked to a specific, peer-reviewed research paper in Fire Ecology, providing academic context.
• Output includes both timeseries and spatially explicit grid data, covering multiple data perspectives.
• Simulations model six distinct tree species, allowing for species-specific analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred from the research paper or supplementary .docx file after download.
• Row count and total data size are unknown, which may limit suitability assessment for large-scale ML tasks.
• Last update date is unknown; freshness unverified.

Provenance

Source

Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research

Collection Method

Output from simulations with the LAVESI-FIRE individual-based, spatially explicit model.

Time Range

Simulations cover periods since the Last Glacial Maximum.

Geography

Lake Satagay, Central Yakutia, Siberia