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California Prescribed Fire Monitoring Program: dataset 2019-2024
Rut Domènech1, Anna Maria Naimeh2, Tessa Putz2
1Department of Environmental Science and Policy, University of California, Davis, California, USA. rutdomenech@ucdavis.edu.
Scientific Data
|February 10, 2026
Summary
California
Area of Science:
- Forest ecology
- Fire science
- Ecological monitoring
Background:
- Prescribed fire is a key tool for managing California's diverse forest ecosystems.
- Understanding the ecological impacts of prescribed fire is crucial for effective land management.
- Existing data gaps hinder comprehensive assessment of prescribed fire effectiveness.
Purpose of the Study:
- To present a comprehensive dataset on prescribed fire effects in California forests.
- To provide data for analyzing ecological responses to prescribed fire treatments.
- To support evidence-based decision-making for forest restoration and fuel reduction.
Main Methods:
- Data collected from 36+ sites across California from 2019-2024.
- Standardized protocols used for monitoring forest structure, fuel loads, and post-fire recovery.
- Data collected across pre-fire, immediate, and multi-year post-fire sampling periods.
Main Results:
- The dataset includes metrics on tree mortality, fuel consumption, and vegetation response.
- It captures changes in species composition and regeneration following prescribed fires.
- Data cover 114 burn units, 972 plots, and 1,838 surveys.
Conclusions:
- This dataset addresses critical knowledge gaps in prescribed fire science.
- It provides valuable data for ecological restoration and hazardous fuel reduction.
- The data will aid in validating fire effects models and establishing baseline conditions.
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