交叉路口的自然历史收藏:优先级的转变和数据驱动的机会
Owen Forbes1, Peter H Thrall1, Andrew G Young1
1CSIRO National Research Collections Australia, Canberra, Australia.
Ecology letters
|August 1, 2025
概括
自然历史收藏需要新的采样策略来解决生物多样性和环境危机. 数据科学和现代统计学可以为21世纪的研究需求优化收集优先级.
科学领域:
- 生态生态学 生态生态学
- 生物多样性科学 生物多样性科学
- 数据科学数据科学数据科学
背景情况:
- 自然历史收藏对生态进化和环境研究至关重要.
- 目前的收集策略往往受到分类学重点的限制.
- 加快环境变化和生物多样性丧失需要新的方法.
研究的目的:
- 提出一个数据驱动的框架,以优化采样设计和自然历史收藏的研究优先级.
- 将现代统计方法与数据科学和数字技术相结合.
- 加强收藏作为关键研究基础设施的作用.
主要方法:
- 利用现代统计方法,包括信息理论和决策科学.
- 在采样设计中考虑生物多样性,环境,空间和时间维度.
- 开发一个灵活的框架,用于战略性收集,数据库和数字化.
主要成果:
- 展示了数据驱动工具如何支持战略收集工作.
- 为收藏提供了以证据为基础的途径,以应对当代环境挑战.
- 用澳大利亚的wombat采样案例研究来说明框架.
结论:
- 自然历史藏品的采样策略必须超越分类学,以应对生态挑战.
- 数据驱动的框架可以增强环境研究收藏的战略价值.
- 整合数据科学和统计方法对于未来的数据收集非常重要.
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