Department of Earth, Environmental and Life Science (DISTAV), University of Genoa, Genoa, Italy.
Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum National d'Histoire Naturelle, CNRS, SU, EPHE, UA, Paris, France.
Nat Commun. 2024 Sep 27;15(1):8340. doi: 10.1038/s41467-024-52673-z.
A pattern of increasing species richness from the poles to the equator is frequently observed in many animal taxa. Ecological limits, determined by the abiotic conditions and biotic interactions within an environment, are one of the major factors influencing the geographical distribution of species diversity. Energy availability is often considered a crucial limiting factor, with temperature and productivity serving as empirical measures. However, these measures may not fully explain the observed species richness, particularly in marine ecosystems. Here, through a global comparative approach and standardised methodologies, such as Autonomous Reef Monitoring Structures (ARMS) and DNA metabarcoding, we show that the seasonality of primary production explains sessile animal richness comparatively or better than surface temperature or primary productivity alone. A Hierarchical Generalised Additive Model (HGAM) is validated, after a model selection procedure, and the prediction error is compared, following a cross-validation approach, with HGAMs including environmental variables commonly used to explain animal richness. Moreover, the linear effect of production magnitude on species richness becomes apparent only when considered jointly with seasonality, and, by identifying world coastal areas characterized by extreme values of both, we postulate that this effect may result in a positive relationship in environments with lower seasonality.
在许多动物分类群中,经常观察到从极地到赤道物种丰富度增加的模式。生态限制是影响物种多样性地理分布的主要因素之一,由环境中的非生物条件和生物相互作用决定。能量供应通常被认为是一个关键的限制因素,温度和生产力是经验性的衡量标准。然而,这些措施可能并不能完全解释观察到的物种丰富度,特别是在海洋生态系统中。在这里,我们通过全球比较方法和标准化方法,如自主珊瑚礁监测结构 (ARMS) 和 DNA 宏条形码,表明初级生产力的季节性可以相对更好地解释固着动物的丰富度,而不仅仅是表面温度或初级生产力。在经过模型选择过程后,验证了分层广义加性模型 (HGAM),并通过交叉验证方法比较了预测误差,与通常用于解释动物丰富度的环境变量一起纳入 HGAM。此外,只有当同时考虑季节性时,生产规模对物种丰富度的线性影响才变得明显,并且通过确定具有两种极端值的世界沿海地区,我们假设这种影响可能导致在季节性较低的环境中产生正相关关系。