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在机器人时代监测陆地生物多样性的机遇和挑战
Stephen Pringle1, Martin Dallimer2, Mark A Goddard3
1Durrell Institute of Conservation and Ecology (DICE), School of Natural Sciences, University of Kent, Canterbury, UK. s.pringle@kent.ac.uk.
Nature ecology & evolution
|May 22, 2025
概括
机器人和自主系统 (RAS) 可以通过解决网站访问和数据处理等关键障碍,显著改善陆地生物多样性监测. 需要进一步开发,但RAS为追踪物种种群的现有方法提供了强大的补充.
科学领域:
- 生态生态学 生态生态学
- 机器人技术 机器人技术 机器人技术
- 环境科学 环境科学
背景情况:
- 全球生物多样性丧失需要先进的监测技术.
- 机器人和自主系统 (RAS) 为加强陆地生物多样性监测提供了一个潜在的解决方案.
- 在这个领域RAS的系统潜力仍然在很大程度上未被探索.
研究的目的:
- 确定当前生物多样性监测中的方法障碍.
- 探索使用RAS克服这些障碍的机遇和挑战.
- 综合生物多样性和RAS领域的专家知识.
主要方法:
- 修改后的Delphi技术涉及98名生物多样性专家和31名RAS专家.
- 生物多样性专家识别主要的监测障碍.
- 机器人专家探索RAS技术和必要的发展.
主要成果:
- 生物多样性专家发现了现场访问,物种识别,数据管理和电力/网络可用性的障碍.
- 机器人专家提出了克服这些障碍的技术,并强调了发展领域.
- 现有的RAS可能需要优化,以应对具有挑战性的种类和不受控制的环境;新兴技术需要进一步研究.
结论:
- 通过补充现有方法,RAS可以大幅提升陆地生物多样性监测.
- 需要对RAS进行开发,以便在不受控制的生态系统中有效监测多种类型.
- 促进生物多样性和RAS专家之间的跨学科合作对于共同开发未来技术至关重要.
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