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  3. California Prescribed Fire Monitoring Program: Dataset 2019-2024.
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  3. California Prescribed Fire Monitoring Program: Dataset 2019-2024.

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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

View abstract on PubMed

Summary
This summary is machine-generated.

California

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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.