Lazarina Maria, Kallimanis Athanasios S, Dimopoulos Panayotis, Psaralexi Maria, Michailidou Danai-Eleni, Sgardelis Stefanos P
1Department of Ecology, School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
2Department of Biology, Laboratory of Botany, University of Patras, Rio, 26504 Patra, Greece.
J Biol Res (Thessalon). 2019 Nov 5;26:12. doi: 10.1186/s40709-019-0106-x. eCollection 2019 Dec.
Exploring species richness and turnover patterns and their drivers can provide new insights into underlying mechanisms shaping community assembly, with significant implications for biodiversity conservation. Here, we explored diversity patterns of non-endemic, neo-endemic and palaeo-endemic vascular plants in Crete, Greece, a Mediterranean hotspot of plant richness and endemism. We evaluated the relationship between α-diversity and environmental (bioclimatic variables, topography), and anthropogenic variables by Generalized Additive Models, after accounting for spatial autocorrelation. Then, we quantified turnover using the novel concept of zeta diversity (the number of shared species by multiple sites), a framework which allows to explore the full spectrum of compositional turnover, the contribution of rare and widespread species to observed patterns and the underlying processes shaping them. Finally, we explored the abiotic and biotic effects, i.e. how well one category of species (non-endemics, palaeo-endemics, neo-endemics) predicts the patterns of the other categories, on zeta diversity by multi-site Generalized Dissimilarity Modelling.
We found a strong correlation between neo-endemic and palaeo-endemic α-diversity, with climate, topography, and human impact driving species richness. Zeta diversity analysis revealed a sharper decrease of shared palaeo-endemic species, followed by neo-endemics, and then by non-endemics with the number of sites considered to estimate compositional turnover. Perhaps, the narrow distributions of palaeo-endemics as relict species and often habitat specialists, thus persisting locally, and of neo-endemics that may have not reached yet their potential geographical range, resulted in the observed zeta diversity decline pattern. Deterministic processes controlled species turnover of rare non-endemic and neo-endemic species, while deterministic and stochastic processes contributed similarly to palaeo-endemic turnover. However, stochasticity dominates in the case of widespread species in all occasions. The environmental and anthropogenic variables were poor predictors of compositional turnover, especially of widespread species. However, the non-endemic species composition was correlated to rare palaeo-endemics and neo-endemics, highlighting the importance of biotic effects in driving turnover patterns.
It seems that centers of neo-endemism of vascular plants coincide with centers of palaeo-endemism in Crete, but species richness and species turnover are shaped by different drivers.
探索物种丰富度和更替模式及其驱动因素,能够为塑造群落组装的潜在机制提供新见解,对生物多样性保护具有重要意义。在此,我们研究了希腊克里特岛非特有、新特有和古特有维管植物的多样性模式,该岛是植物丰富度和特有性的地中海热点地区。在考虑空间自相关后,我们通过广义相加模型评估了α多样性与环境(生物气候变量、地形)以及人为变量之间的关系。然后,我们使用新颖的ζ多样性概念(多个地点共有的物种数量)来量化更替,这一框架能够探索组成更替的全谱、稀有和广布物种对观察到的模式的贡献以及塑造这些模式的潜在过程。最后,我们通过多地点广义相异模型探索了非生物和生物效应,即一类物种(非特有种、古特有种、新特有种)对另一类物种的ζ多样性模式的预测程度。
我们发现新特有种和古特有种的α多样性之间存在很强的相关性,气候、地形和人类影响驱动着物种丰富度。ζ多样性分析表明,随着用于估计组成更替的地点数量增加,共有的古特有物种减少得更为明显,其次是新特有物种,然后是非特有物种。或许,古特有种作为残遗物种且通常是生境专家,分布范围狭窄,因此在当地得以存续,而新特有种可能尚未达到其潜在地理范围,导致了观察到的ζ多样性下降模式。确定性过程控制着稀有非特有种和新特有种的物种更替,而确定性和随机过程对古特有种更替的贡献相似。然而,在所有情况下,广布物种的更替以随机性为主导。环境和人为变量对组成更替的预测能力较差,尤其是对广布物种。然而,非特有物种组成与稀有古特有种和新特有种相关,突出了生物效应在驱动更替模式中的重要性。
维管植物新特有中心似乎与克里特岛的古特有中心重合,但物种丰富度和物种更替由不同驱动因素塑造。