利用分类订正资料估计全球潜甲(鞘翅目:潜甲科)未描述种的物种丰富度和特征

V. Nilsson-Örtman, A. Nilsson
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引用次数: 12

摘要

许多用于估计物种丰富度的方法要么难以用于知之甚少的分类群,要么需要输入数据,这些数据收集起来既费力又昂贵。在本文中,我们采用了一种方法,该方法利用了对所描述的多样性与分类学修订中固有的真实物种丰富度进行比较的仔细进行的测试。我们从体型、动物地理区域和系统发育关系等方面分析了这些修正的定量结果。最好的拟合模型被用来预测未修订群体的多样性,如果这些群体将受到与修订群体一样严格的物种水平假设检验。预测模型对单个观测值的敏感性是通过对原始数据的重采样子集进行自举来估计的。Dytiscidae有4080个已描述的物种(截至2009年5月底),是水生甲虫中最多样化的一组,分布在世界各地。对该科进行了大量的分类学工作,但在大多数动物地理区域,所描述的物种数量仍呈指数增长,使许多常用的估计方法难以适用。我们提供了独立的亚样本物种丰富度估计,这些亚样本可以通过外推法获得物种丰富度估计,并将其与使用修正数据的方法获得的物种丰富度估计进行比较。我们估计有5405种dytiscids,比目前描述的物种数量增加了1.32倍。未描述的多样性可能偏向于非洲以外热带地区体型较小的物种。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
USING TAXONOMIC REVISION DATA TO ESTIMATE THE GLOBAL SPECIES RICHNESS AND CHARACTERISTICS OF UNDESCRIBED SPECIES OF DIVING BEETLES (COLEOPTERA: DYTISCIDAE)
Many methods used for estimating species richness are either difficult to use on poorly known taxa or require input data that are laborious and expensive to collect. In this paper we apply a method which takes advantage of the carefully conducted tests of how the described diversity compares to real species richness that are inherent in taxonomic revisions. We analyze the quantitative outcome from such revisions with respect to body size, zoogeographical region and phylogenetic relationship. The best fitting model is used to predict the diversity of unrevised groups if these would have been subject to as rigorous species level hypothesis-testing as the revised groups. The sensitivity of the predictive model to single observations is estimated by bootstrapping over resampled subsets of the original data. The Dytiscidae is with its 4080 described species (end of May 2009) the most diverse group of aquatic beetles and have a world-wide distribution. Extensive taxonomic work has been carried out on the family but still the number of described species increases exponentially in most zoogeographical regions making many commonly used methods of estimation difficult to apply. We provide independent species richness estimates of subsamples for which species richness estimates can be reached through extrapolation and compare these to the species richness estimates obtained through the method using revision data. We estimate there to be 5405 species of dytiscids, a 1.32-fold increase over the present number of described species. The undescribed diversity is likely to be biased towards species with small body size from tropical regions outside of Africa.
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