Tallgrass Prairie Fuel Load and Fire Simulation Data for Prescribed Burn Assessment

67.5 MB of fuel load and wildfire simulation data supports a study on prescribed burning frequency in tallgrass prairies. The dataset, created by Alex Desjardins and last updated in May 2026, includes outputs from FARSITE fire modeling software under varying weather and fuel conditions. It contains variables such as Heat per Unit Area, Fire Spread Rate, and Flame Length to assess prescribed fire efficacy.

Use Cases

• Modeling wildfire behavior under different fuel conditions based on months since last prescribed burn
• Assessing the effectiveness of prescribed burning based on simulated flame length and fire spread rate
• Analyzing the interaction between local fuel loads and fire weather conditions for risk management

Strengths

• 67.5 MB of structured simulation outputs from FARSITE fire modeling software
• Includes data for seven distinct fuel conditions and seven categories of fire weather conditions
• Variables include Heat per Unit Area, Fire Spread Rate, and Flame Length for comparative analysis

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Geographic coverage is limited to a study site in Northeast Oklahoma

Provenance

Source

Alex Desjardins via figshare

Collection Method

Fuel load data collected from the Tallgrass Prairie Preserve and processed with FARSITE fire modeling software using the Monte Carlo method.

Freshness

Last updated 2026-05-27 15:33:13

Geography

Tallgrass Prairie Preserve in Northeast Oklahoma