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从太空追踪极端干旱对针叶树林的影响,使用动态息地指数
Mojdeh Safaei1, Till Kleinebecker1,2, Manuel Weis3
1Division of Landscape Ecology and Landscape Planning, Institute of Landscape Ecology and Resource Management, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University Giessen, Heinrich-Buff Ring 26-32, 35392, Giessen, Germany.
Heliyon
|April 1, 2024
概括
受干旱影响的针叶树林在植被健康方面显示了持久的变化. 动态息地指数 (Dynamic Habitat Indices,DHIs) 揭示了生态系统的功能转变,突出了森林监测中遥感的必要性.
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:
- 由于极端干旱和热浪,中欧的针叶树林面临着健康的下降.
- 地球观测数据为监测生态系统动态提供了先进的功能.
研究的目的:
- 用动态息地指数 (DHIs) 评估德国黑森州的针叶树林健康状况 (2017-2020年).
- 评估干旱对植被变化的影响,并确定森林灭绝的主要驱动因素.
主要方法:
- 利用光学卫星数据的时间序列来计算基于规范差异植被指数 (NDVI) 的DHIs.
- 使用环境变量和DHI组件的物流回归 (LR) 建模来分析森林健康状况.
主要成果:
- 所有DHI组件 (年度生产率,最低覆盖率,季节性) 在受损和未受损的林地之间存在显著差异.
- 干旱后 (2019年) 的分析显示,生产率下降,季节性增加,没有恢复到干旱前的状况.
- 后勤回归确定了DHI组件作为关键因素,除了温度,降水和海拔之外,解释了森林健康.
结论:
- 大陆水资源系统有效地捕捉了干旱对中欧针叶树林的影响,表明了潜在的长期生态系统功能变化.
- 使用DHI的遥感方法在全球范围内可扩展,用于监测不同地区和土地覆盖类型的生态系统健康.
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