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适应标记重捕方法来估计被接受的物种水平多样性:以陆地腹足纲为例的研究。

Adapting mark-recapture methods to estimating accepted species-level diversity: a case study with terrestrial Gastropoda.

机构信息

Malacology Department, Academy of Natural Sciences, Philadelphia, Pennsylvania, United States.

Biodiversity, Earth and Environmental Science, Drexel University, Philadelphia, Pennsylvania, United States.

出版信息

PeerJ. 2022 Jun 21;10:e13139. doi: 10.7717/peerj.13139. eCollection 2022.

Abstract

We introduce a new method of estimating accepted species diversity by adapting mark-recapture methods to comparisons of taxonomic databases. A taxonomic database should become more complete over time, so the error bar on an estimate of its completeness and the known diversity of the taxon it treats will decrease. Independent databases can be correlated, so we use the time course of estimates comparing them to understand the effect of correlation. If a later estimate is significantly larger than an earlier one, the databases are positively correlated, if it is significantly smaller, they are negatively correlated, and if the estimate remains roughly constant, then the correlations have averaged out. We tested this method by estimating how complete MolluscaBase is for accepted names of terrestrial gastropods. Using random samples of names from an independent database, we determined whether each name led to a name accepted in MolluscaBase. A sample tested in August 2020 found that 16.7% of tested names were missing; one in July 2021 found 5.3% missing. MolluscaBase grew by almost 3,000 accepted species during this period, reaching 27,050 species. The estimates ranged from 28,409 ± 365 in 2021 to 29,063 ± 771 in 2020. All estimates had overlapping 95% confidence intervals, indicating that correlations between the databases did not cause significant problems. Uncertainty beyond sampling error added 475 ± 430 species, so our estimate for accepted terrestrial gastropods species at the end of 2021 is 28,895 ± 630 species. This estimate is more than 4,000 species higher than previous ones. The estimate does not account for ongoing flux of species into and out of synonymy, new discoveries, or changing taxonomic methods and concepts. The species naming curve for terrestrial gastropods is still far from reaching an asymptote, and combined with the additional uncertainties, this means that predicting how many more species might ultimately be recognized is presently not feasible. Our methods can be applied to estimate the total number of names of Recent mollusks (as opposed to names currently accepted), the known diversity of fossil mollusks, and known diversity in other phyla.

摘要

我们介绍了一种新的方法,通过适应标记重捕方法来比较分类数据库,从而估计已接受物种的多样性。随着时间的推移,分类数据库应该会变得更加完整,因此对其完整性的估计以及它所处理的分类单元的已知多样性的误差范围将会减小。独立的数据库可以相互关联,因此我们使用比较它们的估计值的时间过程来了解相关性的影响。如果后来的估计值明显大于早期的估计值,则数据库是正相关的,如果明显小于早期的估计值,则数据库是负相关的,如果估计值大致保持不变,则相关性已经平均化。我们通过估计 MolluscaBase 对陆地腹足纲已接受名称的完整性来测试这种方法。使用来自独立数据库的名称随机样本,我们确定每个名称是否导致 MolluscaBase 中接受的名称。2020 年 8 月进行的一项测试发现,有 16.7%的测试名称缺失;2021 年 7 月的一项测试发现,有 5.3%的名称缺失。在此期间,MolluscaBase 的已接受物种数量增加了近 3000 种,达到 27050 种。这些估计值从 2021 年的 28409 ± 365 到 2020 年的 29063 ± 771 不等。所有估计值的 95%置信区间都有重叠,表明数据库之间的相关性没有造成显著问题。抽样误差之外的不确定性增加了 475 ± 430 种,因此,我们在 2021 年底对已接受陆地腹足纲物种的估计值为 28895 ± 630 种。这个估计值比以前的估计值高出 4000 多种。这个估计值没有考虑到物种不断地进入和离开同名词、新发现、或改变的分类方法和概念。陆地腹足类动物的物种命名曲线仍远未达到渐近线,再加上额外的不确定性,这意味着目前无法预测最终可能会识别出多少更多的物种。我们的方法可以用于估计现代软体动物的名称总数(与当前接受的名称相对)、化石软体动物的已知多样性以及其他门的已知多样性。

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