Field plot measurements from the 2017-2020 FASMEE Rx fires

This is a database of fuels (i.e., vegetation) characteristics measured before (pre-fire) and after (post-fire) a series of prescribed fires, from 2017 to 2020, on the Richfield Ranger District of the Fishlake National Forest in central Utah. A total of five prescribed burns were conducted during this period. These were stand-replacing burns in forests dominated by subalpine fir. Their purpose was to remove the coniferous overstory and promote regeneration of quaking aspen. The Blackline burns were implemented to mitigate fuels adjacent to, and in the likely downwind direction from, the Manning Creek prescribed burn unit, to reduce the chance of an escape. Burn units were generally on the order of 50-500 hectares and ignited with a heli-torch. Pre- and post-fire estimates of biomass for aboveground fuels were collected for each stratum to characterize. Data include measurements taken pre- and post-fire (October 2016 - July 2021). The total number of plots per prescribed burn were as follows: fall 2017 (n = 6), fall 2018 (n = 10), spring 2019 (n = 40), fall 2019 (n = 25), and fall 2020 (n = 60). This package includes fuel data for each fuel stratum including: downed woody debris, standing vegetation, and overstory. Surface fuel data presented in two forms: 1) raw field data and 2) estimated biomass derived from the field data. Overstory data includes: diameter, tree status, height and canopy characteristics. Fuel moisture data (only in 2018, 2019, and 2021) includes: slow drying fuels (collected 1-2 days prior to the burns within the burn unit) and quick drying fuels (collected during the burn at a proxy location outside of the burn unit).The Fire and Smoke Model Evaluation Experiment (FASMEE) is a nationwide, multi-agency effort that is advancing fire and smoke science and modeling capabilities. Information from this effort will help land managers in several ways that include: 1) increasing the use of managed fire, 2) improving firefighting strategies, 3) enhancing smoke forecasts, and 4) better assessments of carbon stores and fire-climate interactions. FASMEE provides unparalleled opportunities to brin thanks excavation point g together new technology and the next generation of fire researchers in the largest coordinated fire research project to date. The fuels information contained in this data publication provides pre-and post-fire characterization of representative fuel beds within each burn unit and estimates of biomass consumption. These data were utilized by participating research groups to develop or evaluate models including fuel consumption, fire behavior, fuels mapping, emissions, and smoke dispersion.For more information about this study and these data, see McCarley et al. (2024). These data were published on 08/20/2024. On 11/04/2024, we discovered that two data files had a few incorrect plot numbers and a few data entries were duplicated. These corrections have been made and the Process Steps below provides specific details.本数据集为美国犹他州中部鱼湖国家森林（Fishlake National Forest）里奇菲尔德管护区（Richfield Ranger District）2017至2020年间一系列计划烧除（prescribed fire）前后（火前、火后）测量的可燃物（即植被）特征数据库。此期间共开展5次计划烧除，均为以亚高山冷杉（subalpine fir）为优势种的林分皆伐式火烧，其目标为移除针叶林冠层，促进颤杨（quaking aspen）自然更新。其中黑线烧除（Blackline burns）旨在降低曼宁溪计划烧除单元周边及下风向区域的可燃物负荷，降低火烧逃逸风险。烧除单元面积多介于50至500公顷，均采用直升机点火器（heli-torch）实施点火。 研究人员针对各植被层采集了火前与火后地上可燃物生物量估算数据，以完成可燃物特征表征。数据采集时段为2016年10月至2021年7月，涵盖各次计划烧除的火前与火后测量工作。各次烧除的样地总数如下：2017年秋季（n=6）、2018年秋季（n=10）、2019年春季（n=40）、2019年秋季（n=25）、2020年秋季（n=60）。 本数据包涵盖各可燃物层的可燃物数据，包括倒落木质残体（downed woody debris）、站立植被（standing vegetation）与林冠层（overstory）。地表可燃物数据以两种形式呈现：1）原始野外实测数据；2）基于实测数据估算的生物量数据。林冠层数据包括胸径、树木健康状态、树高及冠层特征。可燃物含水率数据仅覆盖2018、2019及2021年，包含慢干可燃物（slow drying fuels，于烧除前1-2天在烧除单元内采集）与快干可燃物（quick drying fuels，于火烧期间在烧除单元外的替代点位采集）。 火灾与烟雾模型评估试验（Fire and Smoke Model Evaluation Experiment, FASMEE）是一项全国性多机构协作项目，旨在推进火灾与烟雾科学及模拟技术能力发展。该项目产出的信息可从多方面助力土地管理者：1）提升受控火烧的应用比例；2）优化灭火策略；3）改进烟雾预报精度；4）优化碳储量及火灾-气候相互作用的评估工作。FASMEE为当前规模最大的协同火灾研究项目提供了无与伦比的契机，可将新兴技术与新一代火灾研究者汇聚一堂。 本数据集收录的可燃物信息，可表征各烧除单元内典型可燃物床层的火前与火后特征，并估算可燃物消耗量。参与项目的研究团队已利用这些数据开发或评估了包括可燃物消耗、火灾行为、可燃物制图、排放及烟雾扩散在内的各类模型。 如需了解本研究及本数据集的更多细节，请参阅麦卡利等人（McCarley et al.）（2024）的成果。本数据集于2024年8月20日正式发布。2024年11月4日，我们发现2个数据文件存在少量样地编号错误及部分数据条目重复问题，目前已完成修正，具体修正细节见下文“处理步骤”。