从博物馆收藏中发现基于人工智能的息地
Christopher B Jones1, Kristin Stock2, Sarah E Perkins3
1School of Computer Science and Informatics, Cardiff University, Cardiff, UK.
Trends in ecology & evolution
|February 14, 2024
概括
博物馆记录提供了历史物种数据. 人工智能可以分析息地描述,用于生态和进化研究重建过去的环境.
科学领域:
- 生态生态学 生态生态学
- 进化生物学 进化生物学
- 博物馆研究 博物馆研究
- 人工智能的人工智能
背景情况:
- 博物馆收藏记录提供了有关物种发生的宝贵历史数据.
- 样本位置息地的相关文本描述通常未得到充分利用.
- 重建过去的息地对于理解生态和进化动态至关重要.
研究的目的:
- 探索人工智能 (AI) 方法用于重建过去息地的潜力.
- 从博物馆记录中利用未充分利用的息地描述.
- 用重建的历史息地数据来解决生态和进化问题.
主要方法:
- 使用人工智能 (AI) 技术.
- 分析与博物馆标本记录相关的息地的文字描述.
- 开发用于历史息地重建的方法.
主要成果:
- 展示了人工智能从历史博物馆记录中提取和解释息地信息的潜力.
- 展示了使用这些方法重建过去息地的可行性.
- 突出了以前被忽视的文本数据的价值.
结论:
- 人工智能提供了一种新的方法来解锁博物馆藏品中的历史生态数据.
- 从博物馆记录中重建息地可以提供对生态和进化过程的新见解.
- 这种方法提高了博物馆收藏的实用性,用于当代科学研究.
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