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从杂的观测数据估计生态系统弹性
Mengyang Cai1, Yao Zhang1, Jinghao Qiu1
1Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Global change biology
|July 22, 2025
概括
测量噪声可能导致低估利用时间自相关性 (TAC) 的生态系统弹性. 更高的时间分辨率和干扰强度提高了TAC准确性,这对于生态系统转折点的可靠早期预警信号至关重要.
科学领域:
- 生态生态学 生态生态学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 生态系统的弹性,即从干扰中恢复的能力,对于在全球变化下持久至关重要.
- 生态系统状态的时间自相关性 (TAC) 是弹性下降和接近临界点的关键指标.
- 测量噪声对基于TAC的弹性评估的影响尚不清楚.
研究的目的:
- 调查测量噪声如何影响生态系统弹性时间自相关性 (TAC) 的计算.
- 为了确定噪声对弹性衰退检测的准确性的影响程度.
- 在面对杂数据时,为更强大的弹性评估提供指导.
主要方法:
- 数学推导理论评估噪声对TAC的影响.
- 理想化的模拟实验与受控的噪声水平.
- 分析不同程度的测量噪声的遥感数据集.
主要成果:
- 随着测量噪声的增加,TAC估计系统地下降.
- 低估的程度取决于噪音水平,观察频率和干扰强度.
- 更高的时间分辨率和更大的干扰强度提高了在噪音下 TAC 的准确性.
结论:
- 测量噪声可能会影响弹性趋势并产生错误的早期预警信号.
- 增加观察时间分辨率和采用先进的数据处理可以减轻噪声影响.
- 准确评估全球生态系统的弹性需要仔细考虑和管理测量噪音.
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