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传达对自然主义观察的信心的一种方法:使用非原生海洋物种的案例研究

Sarah J Ackland¹, David M Richardson¹, Tamara B Robinson¹

¹Department of Botany and Zoology, Centre for Invasion Biology Stellenbosch University Matieland South Africa.

Ecology and evolution

|October 10, 2024

概括

对 iNaturalist 观测的新可信度评分改善了用于研究和保护的数据验证. 该工具简化了专家审查,提高了公民科学数据的可靠性.

科学领域:

生态生态学生态生态学
保护生物学保护生物学
数据科学数据科学数据科学

背景情况:

像iNaturalist这样的公民科学平台为研究和保护提供了具有成本效益的数据收集.
然而,来自未经验证的观测,媒体质量和地理引用的数据质量,可靠性和准确性问题限制了它们的实用性.
专家验证至关重要,但可能耗时且容易产生偏见.

研究的目的:

开发一个协议,为 iNaturalist 观测赋予信任分数.
评估这种信任评分在简化验证过程中的有效性.
为了评估iNaturalist的内置质量等级作为准确度的代理的充分性.

主要方法:

开发了一个对 iNaturalist 观测的信任评分协议.
将协议应用于来自南非的海洋外来物种和密码物种观测.
将信心评分的准确性与 iNaturalist 的质量评分进行了比较.

主要成果:

在观察准确度和开发的信心得分之间发现了积极的关系.
发现 iNaturalist 的固有质量等级对数据准确性来说是一个不充分的代理.
信任度得分有效地减少了验证时间和研究人员的偏见.

结论:

专家验证对于公民科学数据至关重要.
拟议的信任评分是简化对iNaturalist数据验证的重要工具.
实施这种信心评分可以提高公民科学数据在研究和保护中的可靠性和可用性.

关键词:

外来物种外来物种.生物入侵生物入侵公民科学是公民科学.数据的准确性数据的准确性数据验证数据的验证.监控监控监控监控监控监控

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