Department of Ecology, Environment, Plant Sciences, Stockholm University, Stockholm, Sweden.
Finnish Environment Institute, Marine Research Centre, Helsinki, Finland.
PLoS One. 2020 Apr 30;15(4):e0231690. doi: 10.1371/journal.pone.0231690. eCollection 2020.
The Baltic Sea summer phytoplankton community plays an important role in biogeochemical cycling and in the transfer of energy through the food web via zooplankton. We aimed to improve the understanding of the degree to which large-scale versus local environmental dynamics regulate phytoplankton dynamics by analyzing time series at the Baltic Sea scale. We used dynamic factor analysis to study if there are common patterns of interannual variation that are shared ("common trends") among summer phytoplankton total and class-level biomass time series observed across Baltic Sea latitudinal gradients in salinity and temperature. We evaluated alternative hypotheses regarding common trends among summer phytoplankton biomass: Baltic Sea-wide common trends; common trends by geography (latitude and basin); common trends differing among functional groups (phytoplankton classes); or common trends driven by both geography and functional group. Our results indicated little support for a common trend in total summer phytoplankton biomass. At a finer resolution, classes had common trends that were most closely associated with the cryptophyte and cyanobacteria time series with patterns that differed between northern and southern sampling stations. These common trends were also very sensitive to two anomalous years (1990, 2008) of cryptophyte biomass. The Baltic Sea Index, a regional climate index, was correlated with two common class trends that shifted in mean state around the mid-1990s. The limited coherence in phytoplankton biomass variation over time despite known, large-scale, ecosystem shifts suggests that stochastic dynamics at local scales limits the ability to observe common trends at the scale of monitoring data collection.
波罗的海夏季浮游植物群落对生物地球化学循环和通过浮游动物在食物网中传递能量起着重要作用。我们旨在通过分析波罗的海范围内的时间序列,来提高对大尺度与局部环境动态调节浮游植物动态的程度的理解。我们使用动态因子分析来研究是否存在跨年度变化的共同模式,这些模式在盐度和温度的波罗的海纬度梯度上观测到的夏季浮游植物总生物量和分类水平生物量时间序列中是共享的(“共同趋势”)。我们评估了夏季浮游植物生物量的共同趋势的替代假设:波罗的海范围内的共同趋势;地理(纬度和盆地)的共同趋势;功能组(浮游植物类群)之间不同的共同趋势;或受地理和功能组共同驱动的共同趋势。我们的结果表明,夏季浮游植物总生物量的共同趋势几乎没有得到支持。在更精细的分辨率下,类群具有最密切相关的隐藻和蓝藻时间序列的共同趋势,这些模式在北部和南部采样站之间存在差异。这些共同趋势也对两个异常年份(1990 年和 2008 年)的隐藻生物量非常敏感。波罗的海指数是一种区域气候指数,与两个共同类群趋势相关联,这些趋势在 20 世纪 90 年代中期左右的平均状态发生了变化。尽管存在已知的大规模生态系统变化,但浮游植物生物量随时间的变化缺乏一致性,这表明局部尺度上的随机动态限制了在监测数据收集的尺度上观察共同趋势的能力。