作为城市鸟类多样性的预测因素的NDVI和植被量
Andrew J Fairbairn1, Sophia Katholnigg2, Tobias Leichtle3
1Terrestrial Ecology Research Group, Department of Life Science Systems, School of Life Sciences, Technical University of Munich, 85354, Freising, Germany. andrew.fairbairn@tum.de.
Scientific reports
|April 14, 2025
概括
规范差异植被指数 (NDVI) 有效预测城市鸟类的多样性,其表现优于植被量. 这种遥感方法有助于城市规划者平衡发展与生物多样性的关键保护目标.
科学领域:
- 城市生态学 城市生态学
- 遥感应用 遥感应用
- 生物多样性评估 生物多样性评估
背景情况:
- 城市扩张威胁着生物多样性,需要快速评估规划工具.
- 像NDVI这样的现有方法显示出预测城市鸟类多样性的前景.
- 新型遥感产品,如植被量,可能会提供增强的息地描述.
研究的目的:
- 评估规范差异植被指数 (NDVI) 和植被量作为城市鸟类多样性和社区组成的预测指标.
- 确定用于预测鸟类生物多样性的遥感数据的最佳缓冲大小.
- 评估这些遥感指标对全市生物多样性绘图和城市规划的有用性.
主要方法:
- 在德国慕尼黑的86个采样点对鸟类多样性和社区组成的分析.
- 应用使用NDVI和植被体积数据在各种缓冲区 (例如100米) 内的线性模型.
- 对于多样性和社区组成,对NDVI和植被量之间的预测性能进行比较.
主要成果:
- 一个100米的缓冲提供了最适合预测鸟类的多样性,使用NDVI和植被量.
- NDVI (平均R2 = 0.47) 是鸟类多样性的更强的预测因素,而不是植被量 (平均R2 = 0.37).
- 植被量在预测鸟群组成方面略高于NDVI,鸟群组成沿着城市绿色梯度转移.
结论:
- NDVI是预测城市鸟类多样性的宝贵工具,可用于全市范围的地图绘制.
- 遥感数据,特别是NDVI,可以支持城市规划和保护工作.
- 使用遥感来完善生态模型对于在持续的城市化中创造更多生物多样性的城市环境至关重要.
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