对纳税古生物学进行实证评估
1Department of Geoscience, University of Iowa, Iowa City, IA 52242, USA. jonathan-adrain@uiowa.edu
概括
古生物学家评估了化石数据库中的数据准确性. 尽管主要的全球数据库中超过70%的条目是不准确的,但随机错误分布意味着它不会对动物多样性的分析产生偏见.
科学领域:
- 古生物学的古生物学.
- 古生物学的古生物学
- 在平流体学上,平流体学是平流体学.
背景情况:
- 在古生物学中,通过时间分析动物的多样性至关重要.
- 化石种群范围的基于文献的汇编是主要数据来源.
- 这些编译的准确性和潜在的错误效应在很大程度上仍未得到量化.
研究的目的:
- 评估古生物学数据库中的错误级别.
- 评估数据不准确性对动物多样性分析的影响.
- 为了比较一个全面的三虫数据库与一个全球的属类数据库.
主要方法:
- 编制一个全面的三虫数据库.
- 与J.J. Sepkoski Jr.的全球基因数据库进行比较.
- 对错误分布及其潜在偏差的统计分析.
主要成果:
- 发现全球属数据库中超过70%的条目是不准确的.
- 错误被随机分布在整个数据库中.
- 随机错误分布不会在多样性分析中引入系统偏差.
结论:
- 虽然全球古生物学数据库中存在显著的不准确性,但随机错误分布减轻了偏差.
- 研究结果表明,从这些数据库中得出的主要多样性趋势可能仍然是可靠的.
- 进一步的研究应侧重于改进古生物学中的数据收集和验证方法.
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