结合实验和大数据,推进生态和保护
Robert McCleery1, Robert Guralnick2, Meghan Beatty1
1Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32618, USA.
Trends in ecology & evolution
|June 17, 2023
概括
整合大数据和实验研究加速了生态洞察力. 将这些方法结合起来,为人类影响的快速和可靠的保护解决方案提供了尚未开发的机会.
科学领域:
- 生态与保护科学 生态与保护科学
- 环境科学 环境科学
- 生态研究方法 生态研究方法
背景情况:
- 越来越重视"大数据",以了解人类对生态系统的影响.
- 传统的依赖实验,以获得机械学理解和保护指导.
- 大数据和实验方法之间的协同作用的潜力.
研究的目的:
- 突出大数据和实验研究的互补性质.
- 确定将这些框架纳入生态和保护领域的机会.
- 倡导采取统一的方法来应对生态挑战.
主要方法:
- 文献审查和概念综合.
- 对生态研究框架当前趋势的分析.
- 支持跨研究类型的模型整合的论点.
主要成果:
- 结合大数据和实验研究存在着巨大的未开发潜力.
- 整合可以加速生态理解和保护方面的进步.
- 统一的框架对于有效解决问题至关重要.
结论:
- 结合大数据和实验框架对于现代生态学至关重要.
- 综合方法承诺更快,更可靠地解决环境问题.
- 迫切需要在整个科学过程中统一这些研究范式.
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