Global patterns in marine dispersal estimates: the influence of geography, taxonomic category and life history
Global patterns in marine dispersal estimates: the influence of geography, taxonomic category and life history
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DOI：
10.1098/rspb.2008.0216
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发表时间：
2008-08-07
影响因子：
4.7
通讯作者：
Campana, Steven E.
中科院分区：
文献类型：
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作者：
Bradbury, Ian R.;Laurel, Benjamin;Campana, Steven E.
我们通过对公布的数值进行分析，研究了广泛的海洋物种的扩散估计，并通过与扩散相关因素的比较，评估了这些数值代表全球模式的程度。我们的分析表明，在低分散/低纬度物种的分散研究的历史重点，我们假设这些研究是不普遍适用的，并代表全球模式。大规模的扩散模式进行了研究，使用数据库的相关性扩散，如浮游幼虫的持续时间（PLD，318种）和遗传分化（F-ST，246种）。我们观察到F-ST（p < 0.001）和PLD（p < 0.001）在分类组之间存在显著差异（例如，G.鱼类、刺胞动物等）。在海洋鱼类（超过50%的数据集）中，底层产卵的流行率与PLD呈负相关（R-2 = 0.80，p < 0.001），与遗传结构呈正相关（R-2 = 0.74，p < 0.001）。此外，分散在海洋鱼类（即PLD和F-ST）增加纬度，成年人的身体大小和水深。在这些变量中，多元回归确定纬度和身体大小作为跨分类学水平的持久性预测因子。这些全球扩散模式是了解和预测物种一级和区域扩散差异的第一步，并将随着更全面的数据的出现而得到改善。
We examine estimates of dispersal in a broad range of marine species through an analysis of published values, and evaluate how well these values represent global patterns through a comparison with correlates of dispersal. Our analysis indicates a historical focus in dispersal studies on low-dispersal/low-latitude species, and we hypothesize that these studies are not generally applicable and representative of global patterns. Large-scale patterns in dispersal were examined using a database of correlates of dispersal such as planktonic larval duration (PLD, 318 species) and genetic differentiation (F-ST, 246 species). We observed significant differences in F-ST (p < 0.001) and PLD (p < 0.001) between taxonomic groups (e. g. fishes, cnidarians, etc.). Within marine fishes (more than 50% of datasets), the prevalence of demersal eggs was negatively associated with PLD (R-2 = 0.80, p < 0.001) and positively associated with genetic structure (R-2 = 0.74, p < 0.001). Furthermore, dispersal within marine fishes (i.e. PLD and F-ST) increased with latitude, adult body size and water depth. Of these variables, multiple regression identified latitude and body size as persistent predictors across taxonomic levels. These global patterns of dispersal represent a first step towards understanding and predicting species-level and regional differences in dispersal, and will be improved as more comprehensive data become available.