Laboratorio de Macroecología Evolutiva, Red de Biología Evolutiva, Instituto de Ecología, A.C. Carretera antigua a Coatepec 351, El Haya, 91070 Xalapa, Veracruz, México.
UMR 5174 EDB-Evolution & Diversité Biologique, Institut de Recherche pour le Développement, Université Paul Sabatier - Bat. 4R1, 118 route de Narbonne, 31062 Toulouse cedex 4, France.
Proc Biol Sci. 2023 Sep 13;290(2006):20231066. doi: 10.1098/rspb.2023.1066.
Tropical lands harbour the highest number of species, resulting in the ubiquitous latitudinal diversity gradient (LDG). However, exceptions to this pattern have been observed in some taxa, explained by the interaction between the evolutionary histories and environmental factors that constrain species' physiological and ecological requirements. Here, we applied a deconstruction approach to map the detailed species richness patterns of Actinopterygian freshwater fishes at the class and order levels and to disentangle their drivers using geographical ranges and a phylogeny, comprising 77% (12 557) of all described species. We jointly evaluated seven evolutionary and ecological hypotheses posited to explain the LDG: diversification rate, time for speciation, species-area relationship, environmental heterogeneity, energy, temperature seasonality and past temperature stability. We found distinct diversity gradients across orders, including expected, bimodal and inverse LDGs. Despite these differences, the positive effect of evolutionary time explained patterns for all orders, where species-rich regions are inhabited by older species compared to species-poor regions. Overall, the LDG of each order has been shaped by a unique combination of factors, highlighting the importance of performing a joint evaluation of evolutionary, historical and ecological factors at different taxonomic levels to reach a comprehensive understanding on the causes driving global species richness patterns.
热带地区拥有最多的物种,导致普遍存在纬度多样性梯度(LDG)。然而,在某些分类群中观察到了这种模式的例外,这可以用限制物种生理和生态需求的进化历史和环境因素的相互作用来解释。在这里,我们应用解构方法来绘制硬骨鱼纲淡水鱼类在纲和目的水平上的详细物种丰富度模式,并利用地理范围和系统发育来解开它们的驱动因素,其中包括 77%(12557 种)已描述的物种。我们共同评估了七个进化和生态假设,这些假设解释了 LDG:多样化率、物种形成时间、物种-面积关系、环境异质性、能量、温度季节性和过去温度稳定性。我们发现不同目之间存在明显的多样性梯度,包括预期的、双峰和反 LDG。尽管存在这些差异,但进化时间的积极影响解释了所有目的模式,其中丰富的物种地区的物种比贫瘠的物种地区的物种古老。总的来说,每个目的 LDG 都是由一系列独特的因素塑造的,这突出了在不同的分类学水平上对进化、历史和生态因素进行联合评估以全面了解驱动全球物种丰富度模式的原因的重要性。