School of Geography Earth and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK.
GeoZentrum Nordbayern, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Proc Biol Sci. 2022 Oct 26;289(1985):20220916. doi: 10.1098/rspb.2022.0916. Epub 2022 Oct 19.
Extant ray-finned fishes (Actinopterygii) dominate marine and freshwater environments, yet spatio-temporal diversity dynamics following their origin in the Palaeozoic are poorly understood. Previous studies investigate face-value patterns of richness, with only qualitative assessment of biases acting on the Palaeozoic actinopterygian fossil record. Here, we investigate palaeogeographic trends, reconstruct local richness and apply richness estimation techniques to a recently assembled occurrence database for Palaeozoic ray-finned fishes. We identify substantial fossil record biases, such as geographical bias in sampling centred around Europe and North America. Similarly, estimates of diversity are skewed by extreme unevenness in the occurrence distributions, reflecting historical biases in sampling and taxonomic practices, to the extent that evenness has an overriding effect on diversity estimates. Other than a genuine rise in diversity in the Tournaisian following the end-Devonian mass extinction, diversity estimates for Palaeozoic actinopterygians appear to lack biological signal, are heavily biased and are highly dependent on sampling. Increased sampling of poorly represented regions and expanding sampling beyond the literature to include museum collection data will be critical in obtaining accurate estimates of Palaeozoic actinopterygian diversity. In conjunction, applying diversity estimation techniques to well-sampled regional subsets of the 'global' dataset may identify accurate local diversity trends.
现存的硬骨鱼类(条鳍鱼)在海洋和淡水环境中占据主导地位,但它们在古生代起源后的时空多样性动态却知之甚少。以前的研究调查了丰富度的表面模式,只是对作用于古生代硬骨鱼化石记录的偏差进行了定性评估。在这里,我们调查了古地理趋势,重建了局部丰度,并将丰度估计技术应用于最近组装的古生代条鳍鱼类出现数据库。我们确定了大量的化石记录偏差,例如在欧洲和北美周围采样的地理偏差。同样,多样性的估计受到出现分布极端不均匀的影响,这反映了历史上采样和分类实践的偏差,以至于均匀性对多样性估计具有压倒性影响。除了在泥盆纪末大灭绝之后的图尔奈期真正出现多样性增加之外,古生代硬骨鱼的多样性估计似乎缺乏生物学信号,受到严重的偏差影响,并且高度依赖于采样。增加对代表性不足的地区的采样,并将采样范围扩大到文献之外,包括博物馆收藏数据,对于获得古生代硬骨鱼多样性的准确估计至关重要。此外,将多样性估计技术应用于“全球”数据集的充分采样区域子集,可能会识别出准确的局部多样性趋势。