Departamento de Estudios Ambientales, Universidad Simón Bolívar, Caracas, Miranda, Venezuela.
PLoS One. 2010 Dec 16;5(12):e14354. doi: 10.1371/journal.pone.0014354.
Assemblages associated with intertidal rocky shores were examined for large scale distribution patterns with specific emphasis on identifying latitudinal trends of species richness and taxonomic distinctiveness. Seventy-two sites distributed around the globe were evaluated following the standardized sampling protocol of the Census of Marine Life NaGISA project (www.nagisa.coml.org). There were no clear patterns of standardized estimators of species richness along latitudinal gradients or among Large Marine Ecosystems (LMEs); however, a strong latitudinal gradient in taxonomic composition (i.e., proportion of different taxonomic groups in a given sample) was observed. Environmental variables related to natural influences were strongly related to the distribution patterns of the assemblages on the LME scale, particularly photoperiod, sea surface temperature (SST) and rainfall. In contrast, no environmental variables directly associated with human influences (with the exception of the inorganic pollution index) were related to assemblage patterns among LMEs. Correlations of the natural assemblages with either latitudinal gradients or environmental variables were equally strong suggesting that neither neutral models nor models based solely on environmental variables sufficiently explain spatial variation of these assemblages at a global scale. Despite the data shortcomings in this study (e.g., unbalanced sample distribution), we show the importance of generating biological global databases for the use in large-scale diversity comparisons of rocky intertidal assemblages to stimulate continued sampling and analyses.
对潮间带多岩石海岸的生物群进行了大规模分布模式的研究,特别强调了确定物种丰富度和分类独特性的纬度趋势。根据海洋生命普查 NaGISA 项目(www.nagisa.coml.org)的标准化采样方案,评估了全球分布的 72 个地点。在纬度梯度或大海洋生态系统(LME)中,没有明显的标准化物种丰富度估计值模式;然而,观察到分类组成的强烈纬度梯度(即给定样本中不同分类群的比例)。与自然影响有关的环境变量与 LME 尺度上生物群的分布模式密切相关,特别是光周期、海面温度(SST)和降雨量。相比之下,与人类影响直接相关的环境变量(无机污染指数除外)与 LME 之间的生物群模式无关。自然生物群与纬度梯度或环境变量之间的相关性同样强烈,这表明中性模型或仅基于环境变量的模型都不能充分解释这些生物群在全球范围内的空间变化。尽管本研究存在数据缺陷(例如,样本分布不平衡),但我们展示了生成生物全球数据库的重要性,以便在大规模多样性比较中使用潮间带多岩石生物群,以促进持续采样和分析。