一个基于无人机的标准化协议,用于监测淡水海
Lauren Dobie1, Gabriel Blouin-Demers1
1Department of Biology, University of Ottawa, 30 Marie Curie, Ottawa, Ontario K1N 6N5, Canada.
MethodsX
|January 26, 2026
概括
高频无人机调查提供了一种最小的侵入性方法来监测彩绘海的浴行为. 这种方法克服了传统调查的局限性,提供了关于温度调节活动的精确,频繁的数据.
科学领域:
- 类学 类学 类学
- 野生动物监测监测野生动物.
- 行为生态学 行为生态学
背景情况:
- 浴对于淡水的温度调节至关重要.
- 传统的测量方法用于估计浴时间的持续时间受到低检测率,中断和不经常采样的限制.
研究的目的:
- 开发和实施一种基于无人机的高频监测方法,以准确量化彩绘乌的浴行为.
- 评估无人机调查在提供关于乌温度调节的频繁,非侵入性数据方面的有效性.
主要方法:
- 使用自主无人机 (DJI Mini 4 Pro) 对个别标记的油漆 (Chrysemys picta) 进行重复的,最少侵入性的视频调查.
- 编程固定,短时间间隔的无人机路线覆盖研究区域,录制视频以记录没有改变行为的日光浴.
- 手动检查的视频录像来量化日落的发生和持续时间,飞行启动距离试验证实了无干扰高度 (15米).
主要成果:
- 在2025年6月至9月期间,在加拿大北克成功监测了62只彩绘海,持续了13天.
- 收集了423项调查和127小时的视频录像,记录了高频率的浴行为.
- 证实,在15米高度的无人机调查中,绘画的海没有引起逃跑反应.
结论:
- 开发的基于无人机的监控方法允许在量化个人浴行为方面前所未有的频率.
- 这种技术为研究海温度调节提供了传统调查方法的精确而非侵入性的替代方案.
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