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揭示昆虫观测中的偏见:学术和公民科学数据之间的比较分析
Joan Díaz-Calafat1, Sebastià Jaume-Ramis2, Karen Soacha3,4
1Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences, Lomma, Sweden.
PloS one
|July 18, 2024
概括
公民科学和学术研究都在生物多样性数据中表现出分类学偏见. 结合这些数据集,可以更全面地了解昆虫种群,尽管存在固有的数据限制.
科学领域:
- 生态与保护生物学 生态与保护生物学
- 生物多样性信息学 生物多样性信息学
- 昆虫学 昆虫学是一门学科.
背景情况:
- 公民科学显著扩大了生物多样性数据收集能力,超越了传统的学术研究.
- 人们仍然担心公民科学数据的准确性和偏见,这影响了其对科学研究的可靠性.
- 公民科学和学术数据集都容易受到各种偏见的影响,包括分类学,空间和时间,影响数据质量.
研究的目的:
- 为了比较公民科学和学术生物多样性数据之间的分类学,空间,时间和环境偏见.
- 评估不同公民科学平台和用户贡献水平之间的偏见的一致性.
- 评估整合公民科学和学术数据的潜力,以进行更全面的生物多样性评估.
主要方法:
- 从参与性平台和伊比利亚半岛的学术研究项目中对昆虫数据进行比较分析.
- 在两种数据类型中评估分类学,空间,时间和环境偏差.
- 检查与用户行为,专业知识和数据收集方法相关的偏见模式.
主要成果:
- 公民科学和学术数据都显示出显著的分类学偏见,有利于某些昆虫类.
- 与学术数据相比,公民科学数据提供了更大的空间覆盖面和更少的聚类.
- 公民科学数据揭示了比学术记录更明显的时间季节性和更稳定的环境覆盖.
- 公民科学数据中的偏见在各个平台和用户专业知识水平上都是一致的,反映了学术数据的偏见.
结论:
- 来自公民科学和学术来源的生物多样性数据包含多方面的偏见,需要仔细考虑.
- 整合公民科学和学术数据提供了对生物多样性的更全面的理解,弥补了个人数据集的局限性.
- 了解和解决偏见对于在研究和保护工作中有效利用各种生物多样性数据集至关重要.
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