草地垂直高度的异质性预测了花和蜜蜂的多样性:无人机的摄像度方法
Michele Torresani1, Duccio Rocchini2,3, Giada Ceola4
1Faculty of Agricultural, Environmental and Food Sciences, Free University of Bolzano/Bozen, Piazza Universitá/Universitätsplatz 1, 39100, Bolzano/Bozen, Italy.
Scientific reports
|January 8, 2024
概括
使用无人机 (UAV) 的遥感可以通过测量植被高度异质性来估计蜜蜂的多样性. 这种具有成本效益的方法有助于确定授粉者有价值的息地,支持保护工作.
科学领域:
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
- 保护生物学 保护生物学
背景情况:
- 授粉者减少威胁到农业和生态系统.
- 息地丧失和气候变化是蜜蜂数量减少的主要驱动因素.
- 遥感为生物多样性评估提供了一个潜在的工具.
研究的目的:
- 评估无人机图像在当地范围内估计蜜蜂的多样性和丰富性的能力.
- 测试高度变化假设 (HVH) 作为蜜蜂多样性的代理.
- 评估植被高度异质性 (HH) 作为蜜蜂息地质量的指标.
主要方法:
- 基于无人机的摄影仪表 (运动结构) 以创建各种空间分辨率的天花板高度模型 (CHM).
- 用无人机获得的CHM精度与LiDAR数据进行比较.
- 植被高度异质性指数与地面花和蜜蜂多样性/丰度数据之间的相关性分析.
主要成果:
- 与LiDAR数据 (R2 = 0.71) 相比,无人机衍生的CHM精度很高.
- 植被高度异质性,特别是使用Rao的Q指数,显示与花朵多样性 (0.44),蜜蜂多样性 (0.47) 和蜜蜂丰富性 (0.34) 有显著的相关性.
- CHM的空间分辨率没有显著影响相关性.
结论:
- 来自无人机图像的植被高度异质性是评估蜜蜂的花朵多样性和息地质量的可靠代理.
- 这种方法可以大规模,标准化和经济有效地推断授粉者息地.
- 基于无人机的遥感可以帮助识别针对性保护战略的高多样性地区.
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