越来越多的方法工具包用于识别和研究非人类动物的社会学习和文化
Andrew Whiten1, Christian Rutz2
1Centre for Social Learning and Cognitive Evolution, School of Psychology and Neuroscience, University of St Andrews, St Andrews, UK.
概括
认识到动物的社会学习和文化对于保护至关重要,但很难证明. 本综述概述了从实验到人工智能等新技术的方法,以评估和应用这些知识来有效管理野生动物.
科学领域:
- 行为生态学 行为生态学
- 保护生物学 保护生物学
- 动物认知 动物认知
背景情况:
- 越来越多的共识认识到社会传播的知识在动物保护管理中的重要性.
- 在野生动物中展示社会学习和文化面临着重大的方法学挑战.
研究的目的:
- 审查动物表现社会学习和文化的主要方法.
- 突出保护应用的新兴快速评估方法.
- 引导这些方法的实际应用,以保护和政策影响.
主要方法:
- 社会学习实验.
- 行为扩散的分析 (自然或种子).
- 跨群体的行为变异映射.
- 评估跨代传播 (教学,本体遗传学习,累积变化).
- 新兴的快速评估技术:摄像头陷,声学监控,动物传播标签,人工智能辅助数据挖掘,计算机模拟.
主要成果:
- 为了研究动物的社会学习和文化,存在着丰富的方法论工具包.
- 开发用于囚禁研究的方法可以适应野生种群.
- 新技术为迫切的保护需求提供了快速评估的能力.
结论:
- 将社会学习和文化融入保护规划中需要强大的方法论方法.
- 持续研究和应用这些方法对于有效的野生动物管理和政策至关重要.
- 审查的工具包可以指导未来的研究,并最大限度地提高保护影响.
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