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Updated: Jan 22, 2026

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持续的视听传感器监测比人类观察员更有效地检测摩尔
Víctor Beltrán Francés1, Anja Hutschenreiter2, Hjalmar S Kühl3,4,5
1Instituto de Neuroetología, Universidad Veracruzana, Veracruz, México.
American journal of primatology
|January 21, 2026
概括
像摄像头陷和被动声学监测等视听传感器显著提高了与传统横断调查相比,灵长类动物检测概率. 结合这些技术,为有效的保护规划提供了最高的可检测性.
科学领域:
- 野生动物保护生物学
- 灵长类生态学灵长类生态学
- 在生态学中的遥感.
背景情况:
- 随着灭绝率的增加,需要准确的种群估计来进行保护.
- 种类的可检测性对于可靠的种群监测至关重要.
- 音视传感器 (摄像头陷,被动声学监控) 显示出对灵长类动物监测的希望,但比较检测数据很少,特别是在具有挑战性的森林环境中.
研究的目的:
- 系统地比较视听传感器的检测概率与基于人类的截面调查,用于监测野生沼泽 (Macaca maura).
- 评估不同息地类型 (森林和开放区域) 的传感器性能.
- 评估调查持续时间对不同监测方法检测能力的影响.
主要方法:
- 使用摄像头陷 (N=19) 和被动声学监测 (PAM,N=7) 进行了40天的连续监测.
- 将传感器数据与以人为基础的点穿越 (N=20) 进行比较,涉及三次调查访问.
- 使用占用模型来估计和比较各种方法和息地的检测概率 (p).
主要成果:
- 摄像头陷 (p=0.63±0.04) 和PAM (p=0.79±0.08) 在所有息地中显示出明显高于点横断 (p=0.33±0.07) 的检测概率.
- 在等同调查时间后,摄像头陷和PAM在两天的调查中匹配了截面性能,在较短的调查中表现优于它们.
- 将两种视听传感器相结合,实现了最高的整体检测能力 (p=0.87±0.05).
结论:
- 视听传感器是提高灵长类动物检测能力的高效工具,特别是在密集的森林中.
- 结合摄像头陷和PAM的多方法方法为难以捉摸的物种提供了卓越的监测能力.
- 这些发现支持制定更高效和有效的监测协议,这对灵长类动物保护战略至关重要.
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