California prescribed fire monitoring program: 2019–2024

The California Prescribed Fire Monitoring Program dataset (2019-2024) provides comprehensive ecological monitoring data from prescribed fire treatments across California's diverse forest ecosystems. This dataset encompasses forest structure and cover, fuel loads, and post-fire recovery metrics, collected using a standardized protocol, from over 36 disparate sites (114 burn units, 972 plots, and 1,838 total surveys). Data collected during pre-fire, immediate and multi-year post-fire sampling episodes allow for robust analysis of prescribed fire effects across variable environmental conditions. The monitoring framework captures key ecological indicators, including tree mortality, fuel consumption, understory vegetation response, species composition, and regeneration. This dataset can address critical knowledge gaps regarding prescribed fire effectiveness for ecological restoration, hazardous fuel reduction, and ecosystem resilience objectives. These data can support evidence-based fire ma..., , # California prescribed fire monitoring program: 2019–2024

Dataset DOI: [10.5061/dryad.612jm64gw](https://doi.org/10.5061/dryad.612jm64gw)

## Description of the data and file structure

**Study Overview:**

The California Prescribed Fire Monitoring Program (CPFMP) was established to monitor the ecological effects of prescribed fire across diverse California ecosystems. The program collects comprehensive data on vegetation, fuels, and forest structure before and after prescribed burns to inform fire management and ecological restoration.

**Study Design:**

* 36 sites across California
* 114 burn units
* 972 monitoring plots
* 1,838 total surveys conducted
* Repeated measurements: pre-fire, immediate post-fire, and up to 8 years post-fire

**Key Features:**

* Long-term monitoring (2019-2024, with historical Caples data 2013-2018)
* Standardized protocols across all sites
* Multiple vegetation and fuel measurements
* Individual tree tracking with permanent tags
* Comprehensive species ...,

加州规定火烧监测项目（California Prescribed Fire Monitoring Program，CPFMP）数据集（2019-2024年）收录了美国加利福尼亚州多样森林生态系统中开展规定火烧处理后的综合生态监测数据。本数据集涵盖森林结构与覆盖度、燃料载荷以及火烧后恢复指标，采用标准化采集规程，数据来自超过36个不同样点（含114个火烧单元、972个监测样方，总计1838次调查）。火烧前、火烧即刻及多年火烧后多个采样时段采集的数据，可支持在多变环境条件下对规定火烧效应开展稳健性分析。该监测框架捕获了关键生态指标，包括树木死亡率、燃料消耗、林下植被响应、物种组成以及自然更新情况。本数据集可填补关于规定火烧在生态修复、危险燃料削减及生态系统韧性目标中有效性的关键知识空白。这些数据可支撑基于证据的火管理……

# 加州规定火烧监测项目：2019–2024
数据集DOI：[10.5061/dryad.612jm64gw](https://doi.org/10.5061/dryad.612jm64gw)

## 数据与文件结构说明

**研究概况：**
加州规定火烧监测项目（CPFMP）旨在监测规定火烧在加利福尼亚州多样生态系统中的生态效应。本项目全面采集规定火烧前后的植被、燃料及森林结构数据，以支撑火管理与生态修复工作。

**研究设计：**
* 加利福尼亚州内36个样点
* 114个火烧单元
* 972个监测样方
* 总计开展1838次调查
* 重复采样时段：火烧前、火烧即刻后，以及火烧后最长8年的时段

**核心特征：**
* 长期监测（2019-2024年，另包含2013-2018年的历史Caples数据集）
* 所有样点均采用标准化采集规程
* 多维度植被与燃料测量
* 采用永久标签开展单株树木追踪
* 全面的物种……