使用Landsat和ALS数据的异质地中海生态系统的火灾后再生动力学
Edward A Velasco Pereira1, Rafael M Navarro-Cerrillo2
1Department of Forestry Engineering, Silviculture Laboratory, dendrochronology and climate change, DendrodatLab-ERSAF, University of Cordoba, Campus de Rabanales, Crta. IV, km. 396, E-14071, Córdoba, Spain.
The Science of the total environment
|September 17, 2025
概括
地中海森林在野火后的恢复因植被类型而异. 灌木迅速恢复,而松树林则难以恢复高度,这凸显了定制恢复策略的必要性.
科学领域:
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
- 林业林业 林业 林业 林业
背景情况:
- 野火是影响森林结构和功能的重大生态干扰.
- 地中海生态系统在火灾后的长期恢复尚未得到充分理解,尤其是在不同的植被类型中.
研究的目的:
- 开发和验证一个综合的遥感方法,以评估火灾后的植被恢复在20-30年内.
- 分析地中海森林 (Quercus ilex,Pinus halepensis,灌木) 的恢复模式.
主要方法:
- 结合了多时间的Landsat图像和低密度的空中激光扫描 (ALS) 数据.
- 利用随机森林模型将ALS衍生的结构属性 (高度,树冠覆盖,多样性) 与Landsat索引和地形联系起来.
- 使用贝叶斯增量回归树 (BART) 来识别再生驱动因素.
主要成果:
- ALS-Landsat模型显示出高预测准确度 (R2 = 0.68-0.94),叶子高度多样性指数 (LHDI) 是最准确的.
- 巴特模型解释了火灾后结构指标的多达72%的变化.
- 确定了温度,植物群落和继承阶段作为重点恢复决定因素.
结论:
- 观察到不同的再生轨迹:灌木迅速恢复,而松树林显示结构反弹缓慢.
- 一些松树林在30年后未能恢复火灾前的高度.
- 综合ALS和Landsat数据有效监测火灾后的结构恢复,为恢复工作提供信息.
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