模糊数据对物种分布模型的影响
Kyo Soung Koo1,2, Ko-Huan Lee2,3, Dawon Lee4
1Korean Environmental Geography Institute, Sejong, Republic of Korea.
概括
自然学家的模糊功能不准确地改变了物种的地理数据,影响了保护工作. 研究人员必须验证来自开源平台的数据,以确保对危物种进行准确的物种分布建模.
科学领域:
- 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
- 地理信息系统 地理信息系统
背景情况:
- 珍稀和危物种的保护依赖于准确的地理分布和环境偏好数据.
- 开源数据库提供有价值的全球物种发生数据,但可能会引入不准确性.
- iNaturalist的"模糊"功能使精确的位置匿名,可能会损害数据完整性.
研究的目的:
- 评估iNaturalist"模糊"函数对地理数据准确性的影响.
- 评估隐藏数据对三种危的韩国物种物种分布建模的影响.
- 为了确定研究人员对"模糊"函数在同行评审文献中的影响的认识.
主要方法:
- 收集了Pelophylax chosenicus,Mauremys reevesii和Eremias argus的原始发生数据.
- 将数据上传到 iNaturalist 并将原始数据与隐藏的位置,高度和息地数据进行比较.
- 开发了使用原始和模糊数据集的物种分布模型,并审查了文献以了解模糊函数.
主要成果:
- "遮蔽"功能显著改变了物种的地理信息,包括海拔和息地变量.
- 从模糊数据生成的物种分布模型与使用原始数据的物种分布模型有很大差异.
- 使用 iNaturalist 数据审查的文章中,只有4%的人承认隐藏的功能,这表明认识较低.
结论:
- iNaturalist的"模糊"功能引入了重大不准确性,对物种分布建模和保护策略产生了负面影响.
- 研究人员必须批判性地评估来自开源平台的数据,特别是当用于危物种保护时.
- 数据库平台应提高数据隐藏功能的透明度,以防止滥用.
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