Department of Biological Sciences, University of Southern California, 3616 Trousdale Parkway, Los Angeles, CA 90089, USA.
Philos Trans R Soc Lond B Biol Sci. 2013 Aug 26;368(1627):20120437. doi: 10.1098/rstb.2012.0437. Print 2013.
Ocean acidification and greenhouse warming will interactively influence competitive success of key phytoplankton groups such as diatoms, but how long-term responses to global change will affect community structure is unknown. We incubated a mixed natural diatom community from coastal New Zealand waters in a short-term (two-week) incubation experiment using a factorial matrix of warming and/or elevated pCO2 and measured effects on community structure. We then isolated the dominant diatoms in clonal cultures and conditioned them for 1 year under the same temperature and pCO2 conditions from which they were isolated, in order to allow for extended selection or acclimation by these abiotic environmental change factors in the absence of interspecific interactions. These conditioned isolates were then recombined into 'artificial' communities modelled after the original natural assemblage and allowed to compete under conditions identical to those in the short-term natural community experiment. In general, the resulting structure of both the unconditioned natural community and conditioned 'artificial' community experiments was similar, despite differences such as the loss of two species in the latter. pCO2 and temperature had both individual and interactive effects on community structure, but temperature was more influential, as warming significantly reduced species richness. In this case, our short-term manipulative experiment with a mixed natural assemblage spanning weeks served as a reasonable proxy to predict the effects of global change forcing on diatom community structure after the component species were conditioned in isolation over an extended timescale. Future studies will be required to assess whether or not this is also the case for other types of algal communities from other marine regimes.
海洋酸化和温室变暖将相互作用,影响硅藻等关键浮游植物群体的竞争优势,但长期对全球变化的响应将如何影响群落结构尚不清楚。我们在一个短期(两周)的培养实验中,使用变暖与/或升高 pCO2 的因子矩阵,对来自新西兰沿海海域的混合天然硅藻群落进行了培养,以研究其对群落结构的影响。然后,我们将优势硅藻从克隆培养物中分离出来,并在与分离时相同的温度和 pCO2 条件下对其进行 1 年的驯化,以使这些非生物环境变化因素在没有种间相互作用的情况下,允许进行扩展选择或适应。然后,这些驯化的分离物被重新组合成“人工”群落,模仿原始自然组合,并在与短期自然群落实验相同的条件下进行竞争。总的来说,尽管后者失去了两个物种,但未驯化的自然群落和驯化“人工”群落实验的结果结构相似。pCO2 和温度对群落结构都有单独的和交互的影响,但温度的影响更大,因为变暖显著降低了物种丰富度。在这种情况下,我们对混合天然群落进行的短期操纵实验,跨越了数周,作为一种合理的替代方法,可以预测在组成物种经过长时间隔离驯化后,全球变化对硅藻群落结构的影响。未来的研究将需要评估这种情况是否也适用于来自其他海洋区域的其他类型的藻类群落。