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arXiv 2609.17925cs.CV

火灾导致内华达山脉最大树木快速消失

Rapid Loss of the Sierra Nevada's Largest Trees Driven by Fire

发表机构CTrees · 加州大学戴维斯分校 · 加州大学洛杉矶分校
另 2 家 · 查看机构详情
  • CTrees
  • University of California, Davis(加州大学戴维斯分校)
  • University of California, Los Angeles(加州大学洛杉矶分校)
  • University of São Paulo(圣保罗大学)
  • University of Maryland Baltimore County(马里兰大学巴尔的摩县分校)

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Fabien H. Wagner, Dan J. Dixon, Christopher W. Woodall, Mayumi C. M. Hirye, Felipe Saad, Griffin Carter, Ricardo Dalagnol, Lorena Alves, Cynthia Creze, Stephen … 展开作者

Fabien H. Wagner, Dan J. Dixon, Christopher W. Woodall, Mayumi C. M. Hirye, Felipe Saad, Griffin Carter, Ricardo Dalagnol, Lorena Alves, Cynthia Creze, Stephen C. Hagen, Zhihua Liu, Christopher Mihiar, Adugna Mullissa, Le Bienfaiteur Sagang Takougoum, Bryan Shaddy, Yan Yang, Dafeng Zhang, Sassan Saatchi

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中文总结 AI 辅助

本研究利用深度学习模型和遥感数据绘制内华达山脉大型树木分布,发现野火是导致其快速死亡的主要因素,2020-2021年火灾季造成10%的大型树木死亡。

中文摘要 AI 辅助

大型树木对生物量储存、栖息地结构和生态系统功能具有不成比例的重要贡献。然而,其区域尺度的分布和健康动态仍未得到充分量化。本研究利用深度学习模型(U-Net-ID)以及基于2020年亚米级航空影像生成的树冠高度模型,对内华达山脉植物区系省中所有树冠面积≥100平方米的个体树木进行了 delineation(描绘)。该模型使用超过330万个合成树冠进行训练,并在包含20,273个树冠的独立数据集上验证时,实现了0.602的中位交并比(IoU)。共绘制了6,515,705棵大型树木,覆盖了内华达山脉植物区系省约78.7%的区域。大型树木的空间分布与海拔、温度和降水相关。利用2020年至2025年的Sentinel-2时间序列数据,通过提取每个树冠的光谱轨迹,并应用BFAST断点检测算法结合干扰分类框架,表征了树木健康动态,以识别个体树木的死亡、干扰和恢复轨迹。根据CAL FIRE火灾边界估算的野火被确定为大型树木死亡的主要驱动因素,导致内华达山脉所有大型树木中10%死亡,且死亡率高度集中在2020-2021年极端火灾季节。

英文摘要

Large trees disproportionately contribute to biomass storage, habitat structure, and ecosystem functioning. However, their distribution and health dynamics remain poorly quantified at a regional scale. Here, a deep learning model (U-Net-ID) and canopy height models derived from sub-meter aerial imagery from 2020 were used to delineate all individual trees with crown area $\geq$ 100 m$^2$ across the Sierra Nevada Floristic Province. The model was trained using more than 3.3 million synthetic tree crowns and achieved a median Intersection over Union (IoU) of 0.602 when validated against an independent dataset of 20,273 crowns. A total of 6,515,705 large trees were mapped, occurring across approximately 78.7% of the Sierra Nevada Floristic Province. The spatial distribution of large trees showed associations with elevation, temperature, and precipitation. Using Sentinel-2 time series from 2020 to 2025, tree health dynamics were characterized by extracting spectral trajectories for each crown and applying BFAST breakpoint detection algorithm combined with a disturbance classification framework to identify mortality, disturbance, and recovery trajectories of individual trees. Wildfires, estimated from CAL FIRE fire perimeters, were identified as the dominant driver of large-tree mortality, killing 10% of all large trees in the Sierra Nevada, with mortality strongly concentrated during the extreme 2020-2021 fire seasons.

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