要实现生物多样性测量的彻底转变,需要进行九项改变
William J Sutherland1, Neil D Burgess2,3, Scott V Edwards4
1Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge CB2 3QZ, United Kingdom.
概括
生物多样性测量正在随着人工智能和公民科学等新技术的发展而发展. 标准化数据和整合多样化的知识对于有效的保护和可持续的地球管理至关重要.
科学领域:
- 生态生态学 生态生态学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 全球生物多样性正在下降,需要强有力的测量和监测.
- 准确的生物多样性数据对于评估环境变化,确定保护优先事项和为政策提供信息至关重要.
- 传统方法正在被快速的技术进步所增强.
研究的目的:
- 概述由新技术驱动的生物多样性测量的机遇和挑战.
- 为推进生物多样性信息系统提出关键建议.
- 促进合作,以获得弹性和可访问的生物多样性数据.
主要方法:
- 对生物多样性监测中新兴技术的审查 (公民科学,eDNA,AI,遥感等). ) 的情况.
- 分析数据整合,标准化和可访问性方面的挑战.
- 根据技术进步和合作需求制定建议.
主要成果:
- 新技术为生物多样性测量和监测提供了重大机会.
- 挑战包括数据集成,标准化,校准和潜在的AI相关错误信息.
- 建议侧重于数据整合,标准化,校准,能力建设,可信数据库,数据估值,纳入土著知识,测量有效性和增强数据弹性.
结论:
- 技术的进步为生物多样性科学带来了变革的潜力.
- 应对挑战需要战略建议和跨学科和社区的激进合作.
- 开发强大,可访问的生物多样性信息系统对于全球可持续性和生态恢复至关重要.
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