Unidad Académica de Ecología y Biodiversidad Acuática, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Ciudad de México, México.
Unidad Académica de Sistemas Arrecifales, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Puerto Morelos, Quintana Roo, México.
PLoS One. 2024 May 8;19(5):e0303250. doi: 10.1371/journal.pone.0303250. eCollection 2024.
The spatial patterns of taxonomic diversity of annelid polychaete species from the continental shelf in the Southern Gulf of Mexico were examined in this study. We used taxonomic distinctness and its spatial variations to explore the diversity patterns and how they change between Southern Gulf of Mexico regions. In addition, using taxonomic distinctness as a dissimilarity measure and Ward's Clustering, we characterized three distinct faunal assemblages. We also investigated patterns of richness, taxonomic distinctness, and distance decay of similarity between sampling stations as a ß-diversity measure. Finally, we examined the spatial relationships between polychaete assemblages and environmental variables to test the relative importance of spatial and environmental components in annelid polychaete community structure from the Southern Gulf of Mexico. We used a combination of eigenvector-based multivariate analyses (dbMEMs) and distance-based redundancy analysis (dbRDA) to quantify the relative importance of these explanatory variables on the spatial variations of taxonomic distinctness. The significance level of spatial and environmental components to the distribution of polychaete species showed that the combined effect of spatial processes and sediment characteristics explained a higher percentage of the variance than those parameters could alone.
本研究考察了墨西哥湾南部大陆架多毛环节动物物种分类多样性的空间格局。我们使用分类独特性及其空间变化来探索多样性模式,以及它们在墨西哥湾南部地区之间如何变化。此外,我们使用分类独特性作为不相似性度量和 Ward 聚类,将三个不同的动物群组合进行了特征描述。我们还研究了采样站之间丰富度、分类独特性和相似性距离衰减的模式,作为 β-多样性度量。最后,我们检验了多毛环节动物组合与环境变量之间的空间关系,以检验空间和环境成分在墨西哥湾南部多毛环节动物群落结构中的相对重要性。我们使用基于特征向量的多元分析 (dbMEMs) 和基于距离的冗余分析 (dbRDA) 的组合来量化这些解释变量对分类独特性空间变化的相对重要性。空间和环境成分对多毛环节动物物种分布的显著程度表明,空间过程和沉积物特征的综合效应比单独的参数能解释更多的方差。