Department of Freshwater and Marine Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, P.O. Box 94240, 1090 GE Amsterdam, Netherlands.
Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration and Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Science, East China Normal University, Shanghai, PR China.
Sci Adv. 2020 Feb 19;6(8):eaax2926. doi: 10.1126/sciadv.aax2926. eCollection 2020 Feb.
Although phenotypic plasticity is a widespread phenomenon, its implications for species responses to climate change are not well understood. For example, toxic cyanobacteria can form dense surface blooms threatening water quality in many eutrophic lakes, yet a theoretical framework to predict how phenotypic plasticity affects bloom development at elevated CO is still lacking. We measured phenotypic plasticity of the carbon fixation rates of the common bloom-forming cyanobacterium . Our results revealed a 1.8- to 5-fold increase in the maximum CO uptake rate of at elevated CO, which exceeds CO responses reported for other phytoplankton species. The observed plasticity was incorporated into a mathematical model to predict dynamic changes in cyanobacterial abundance. The model was successfully validated by laboratory experiments and predicts that acclimation to high CO will intensify blooms in eutrophic lakes. These results indicate that this harmful cyanobacterium is likely to benefit strongly from rising atmospheric CO.
虽然表型可塑性是一种普遍现象，但它对物种应对气候变化的影响还不是很清楚。例如，有毒蓝藻会在许多富营养化湖泊中形成密集的表层水华，威胁水质，但预测表型可塑性如何影响高 CO 下水华发育的理论框架仍然缺乏。我们测量了常见水华形成蓝藻 的碳固定率的表型可塑性。我们的结果表明，在高 CO 下， 的最大 CO 吸收速率增加了 1.8 到 5 倍，超过了其他浮游植物物种报告的 CO 响应。观察到的可塑性被纳入一个数学模型来预测蓝藻丰度的动态变化。该模型通过实验室实验得到了成功验证，并预测高 CO 下的适应会加剧富营养化湖泊中的 水华。这些结果表明，这种有害的蓝藻很可能会从大气 CO 的上升中受益良多。
