Keck François, Rimet Frédéric, Franc Alain, Bouchez Agnés
Ecol Appl. 2016 Apr;26(3):861-72. doi: 10.1890/14-1966.
Diatoms include a great diversity of taxa and are recognized as powerful bioindicators in rivers. However using diatoms for monitoring programs is costly and time consuming because most of the methodologies necessitate species-level identification. This raises the question of the optimal trade-off between taxonomic resolution and bioassessment quality. Phylogenetic tools may form the bases of new, more efficient approaches for biomonitoring if relationships between ecology and phylogeny can be demonstrated. We estimated the ecological optima of 127 diatom species for 19 environmental parameters using count data from 2119 diatom communities sampled during eight years in eastern France. Using uni- and multivariate analyses, we explored the relationships between freshwater diatom phylogeny and ecology (i.e., the phylogenetic signal). We found a significant phylogenetic signal for many of the ecological optima that were tested, but the strength of the signal varied significantly from one trait to another. Multivariate analysis also showed that the multidimensional ecological niche of diatoms can be strongly related to phylogeny. The presence of clades containing species that exhibit homogeneous ecology suggests that phylogenetic information can be useful for aquatic biomonitoring. This study highlights the presence of significant patterns of ecological optima for freshwater diatoms in relation to their phylogeny. These results suggest the presence of a signal above the species level, which is encouraging for the development of simplified methods for biomonitoring survey.
硅藻包括种类繁多的分类群,并且在河流中被视为强大的生物指示物。然而,将硅藻用于监测项目既昂贵又耗时,因为大多数方法都需要进行物种水平的鉴定。这就引出了分类分辨率和生物评估质量之间最佳权衡的问题。如果能够证明生态学与系统发育之间的关系,系统发育工具可能会成为新的、更有效的生物监测方法的基础。我们利用法国东部八年间采集的2119个硅藻群落的计数数据,估算了127种硅藻对19个环境参数的生态最适值。通过单变量和多变量分析,我们探究了淡水硅藻系统发育与生态学之间的关系(即系统发育信号)。我们发现,许多被测试的生态最适值都存在显著的系统发育信号,但信号强度因性状不同而有显著差异。多变量分析还表明,硅藻的多维生态位可能与系统发育密切相关。包含具有同质生态学特征物种的进化枝的存在表明,系统发育信息对水生生物监测可能有用。本研究突出了淡水硅藻生态最适值与其系统发育相关的显著模式的存在。这些结果表明存在高于物种水平的信号,这对开发简化的生物监测调查方法是令人鼓舞的。