不是所有流浪的人都是迷路的:社区科学中的小径偏见
Ellyne M Geurts1, John D Reynolds2, Brian M Starzomski1
1School of Environmental Studies, University of Victoria, Victoria, British Columbia, Canada.
PloS one
|June 23, 2023
概括
像 iNaturalist 这样的社区科学平台收集了大量的生物多样性数据. 我们的研究表明,从步道取样偏差不会降低生物多样性测量的质量,支持研究中的数据使用.
科学领域:
- 生态生态学 生态生态学
- 保护生物学 保护生物学
- 生物多样性信息学 生物多样性信息学
背景情况:
- 社区科学计划产生大规模的生物多样性数据.
- 像iNaturalist和eBird这样的平台使新的生态研究成为可能.
- 机会主义的数据收集可以引入空间偏差,特别是在像小径这样的接入点附近.
研究的目的:
- 为了研究是否微量空间偏差从小径采样影响分类学丰富度估计.
- 评估步道近距离对 iNaturalist.生物多样性数据质量的影响.
主要方法:
- 在加拿大不列颠哥伦比亚省的路径上和路径之外进行了定时穿越.
- 经验丰富的 iNaturalist 观察员参与了数据收集.
- 一般化的线性混合模型被用来分析分类学丰富性.
主要成果:
- 在步道上观察到总体上更高的分类学丰富性,而不是在步道之外.
- 本地和异国种类在小径上更为丰富.
- 在轨道上和轨道之外的位置之间,在观察罕见观察到的物种方面没有发现显著差异.
结论:
- 来自小径的微小空间偏差不会影响 iNaturalist.生物多样性测量的质量.
- 这一发现支持在生态研究和保护管理中使用 iNaturalist 数据.
- 基于路径的采样可以产生有价值的生物多样性数据,尽管固有的空间偏差.
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