Robichon Charlotte, Robin Joël, Dolédec Sylvain
Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNA, F-69622 Villeurbanne, France.
Univ Lyon, ISARA, Agroecology and Environment research unit, F-69364 Lyon Cedex 07, France.
Sci Total Environ. 2023 May 10;872:162142. doi: 10.1016/j.scitotenv.2023.162142. Epub 2023 Feb 9.
The development of benthic cyanobacteria currently raises concern worldwide because of their potential to produce toxins. As a result, understanding which measures of biotic and abiotic parameters influence the development of cyanobacterial assemblages is of great importance to guide management actions. In this study, we investigate the relative contributions of abiotic and biotic parameters that may drive the development of cyanobacterial assemblages in river biofilms. First, a 2D hydrodynamic model allowed us to retrace changes in depths and velocities according to discharge at a 4 m resolution. From this model, we set up three hydraulic zones in each of the 4 reaches investigated along a 50-km-long river stretch. We further used univariate, multivariate and variance partitioning analyses to assess the contribution of past and present hydraulics, present physical and chemical parameters and algae to the temporal variability of cyanobacterial assemblage composition. The cyanobacterial assemblages were generally dominated by Phormidium sp., Lyngbya sp., Planktolyngbya sp. and Oscillatoria sp., four genera known to contain potentially toxic species. The highest biovolumes of cyanobacteria were present in low velocity zones in early summer and shifted to high velocity zones in late summer, highlighting the major influence of hydraulic parameters on benthic cyanobacteria settlement and development in rivers. Considering the identified genera, biofilms present a potentially high risk of toxin production. Relations between cyanobacterial development, toxin production and environmental parameters need to be further assessed to better estimate this risk.
由于底栖蓝藻具有产生毒素的潜在可能性,其生长发育目前引起了全球范围的关注。因此,了解哪些生物和非生物参数指标会影响蓝藻群落的生长发育,对于指导管理行动至关重要。在本研究中,我们调查了可能驱动河流生物膜中蓝藻群落生长发育的非生物和生物参数的相对贡献。首先,一个二维水动力模型使我们能够根据流量以4米的分辨率追溯水深和流速的变化。基于该模型,我们在一条50公里长的河段沿线所调查的4个河段中的每一个都设置了三个水力区。我们进一步使用单变量、多变量和方差分解分析来评估过去和当前的水力条件、当前的物理和化学参数以及藻类对蓝藻群落组成时间变异性的贡献。蓝藻群落通常以席藻属、鞘丝藻属、浮游鞘丝藻属和颤藻属为主,这四个属中已知含有潜在有毒物种。蓝藻的最高生物量出现在初夏的低速区,并在夏末转移到高速区,这突出了水力参数对河流中底栖蓝藻沉降和发育的主要影响。考虑到已鉴定的属,生物膜存在潜在的高毒素产生风险。需要进一步评估蓝藻发育、毒素产生与环境参数之间的关系,以便更好地估计这种风险。