Marine nano- and microphytoplankton diversity: redrawing global patterns from sampling-standardized data

Marine nano- and microphytoplankton diversity: redrawing global patterns from sampling-standardized data
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海洋纳米和微型浮游植物多样性:根据采样标准化数据重新绘制全球模式

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发表时间:
2015
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通讯作者:
P. Cermeño
P. Cermeño
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作者:
T. Rodríguez;E. Marañón;P. Cermeño

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目的:我们分析了海洋浮游植物多样性数据作为纬度,温度,初级生产力和几个环境和生物变量的函数,以确定是否大规模的海洋纳米和微型浮游植物(包括硅藻,甲藻和颗石藻)的多样性的变化遵循类似的模式,观察到的大型生物。我们第一次探讨这些关系后,纠正观察到的模式的物种丰富度的采样工作。位置全球海洋。方法采用基于Hill数的内插和外推法以及股东法定人数二次抽样(SQS)方法,通过采样努力对物种丰富度进行标准化估计。然后,我们拟合线性和二次模型的物种丰富度数据,探讨其随纬度,逆温度和生物量的变化。将这些关系与从非标准化数据中获得的模式进行比较。此外,我们使用了逐步多元线性回归模型来解释物种丰富度的变异性作为多个驱动因素共同作用的综合效应。结果海洋浮游植物多样性与纬度、温度和生物量的相关性较弱。中纬度地区物种丰富度的热点在标准化采样工作后基本消失。无论是纬度,温度,初级生产(作为诊断能源供应),也没有任何其他变量或变量的组合,解释浮游植物物种丰富度的模式。主要结论没有一个假设测试解释了显着的物种丰富度的变化。在以前的研究中观察到的微生物模式可能至少部分是由于采样努力的差异沿着生产力梯度和物种的系统采样不足。我们的结论是,大规模的过程,如被动扩散和经常性栖息地退化主导物种的分布。必须改进取样程序和数据分析,以获得可在各生态系统之间进行比较的多样性估计数。
Aim We analysed marine phytoplankton diversity data as a function of latitude, temperature, primary production and several environmental and biological variables to ascertain whether large-scale variability in the diversity of marine nano- and microphytoplankton (including diatoms, dinoflagellates and coccolithophores) follows similar patterns to those observed for macroorganisms. For the first time we explored these relationships after correcting the observed patterns of species richness by sampling effort. Location The global ocean. Methods To standardize the estimates of species richness by sampling effort we used interpolation and extrapolation based on Hill numbers and shareholder quorum subsampling (SQS) methods. Then, we fitted linear and quadratic models to species richness data to explore their variability with latitude, inverse temperature and biomass. These relationships were compared with the patterns obtained from non-standardized data. In addition, we used a stepwise multiple linear regression model to explain the variability of species richness as the combined effect of multiple drivers acting together. Results Marine phytoplankton diversity was weakly correlated with latitude, temperature or biomass. The hotspots of species richness at intermediate latitudes largely vanished after standardization for sampling effort. Neither latitude, temperature, primary production (as diagnostics of energy supply) nor any other variable or combination of variables, explained the patterns of phytoplankton species richness. Main conclusions None of the hypotheses tested explained a significant amount of the variability in species richness. The patterns observed for microorganisms in previous studies may have resulted at least partially from differences in sampling effort along productivity gradients and systematic undersampling of species. We conclude that large-scale processes such as passive dispersal and recurrent habitat recolonization dominate the distribution of species. Sampling protocols and data analyses must be improved in order to obtain estimates of diversity that are comparable across ecosystems.