生态特性和前景中的新型社区数据
Florian Hartig1, Nerea Abrego2, Alex Bush3
1Theoretical Ecology, University of Regensburg, Regensburg, Germany.
Trends in ecology & evolution
|November 10, 2023
概括
环境DNA (eDNA) 和声学传感器等新技术产生了新的社区数据. 这些数据为生态过程和保护应用提供了前所未有的洞察力.
科学领域:
- 生态生态学 生态生态学
- 生物多样性监测 生物多样性监测
- 生物声学是一种生物声学.
背景情况:
- 传统的生物多样性监测方法在规模和分辨率上是有限的.
- 新兴技术,如环境DNA (eDNA),被动声学监测和光学传感器提供自动数据收集.
- 这些新的方法可以在前所未有的规模上产生时空社区观测.
研究的目的:
- 引入和定义"新型社区数据"作为一个总体术语.
- 审查新兴的新型社区数据领域.
- 探索新的生态问题,分析工具和政策影响.
主要方法:
- 关于新兴技术及其在社区生态中的应用的文献综述.
- 综合当前的分析方法和确定未来的需求.
- 讨论政策和保护影响.
主要成果:
- 新的社区数据,包括eDNA和声学数据,使自动化,高分辨率的生物多样性监测成为可能.
- 这些数据可以解决社区集会,生物相互作用和进化中的基本生态问题.
- 在了解生态系统的运作方面,有可能取得重大进展.
结论:
- 新的社区数据代表了生态研究和生物多样性监测的范式转变.
- 进一步开发分析工具对于最大限度地发挥这些数据的潜力至关重要.
- 这些数据为保护政策和实践提供了巨大的希望.
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