Influence of sampling strategies on the monitoring of cyanobacteria in shallow lakes: lessons from a case study in France.

Sampling cyanobacteria in freshwater ecosystems is a crucial aspect of monitoring programs in both basic and applied research. Despite this, few papers have dealt with this aspect, and a high proportion of cyanobacteria monitoring programs are still based on monthly or twice-monthly water sampling, usually performed at a single location. In this study, we conducted high frequency spatial and temporal water sampling in a small eutrophic shallow lake that experiences cyanobacterial blooms every year. We demonstrate that the spatial and temporal aspects of the sampling strategy had a considerable impact on the findings of cyanobacteria monitoring in this lake. In particular, two peaks of Aphanizomenon flos-aquae cell abundances were usually not picked up by the various temporal sampling strategies tested. In contrast, sampling once a month was sufficient to provide a good overall estimation of the population dynamics of Microcystis aeruginosa. The spatial frequency of sampling was also important, and the choice in the location of the sampling points around the lake was very important if only two or three sampling points were used. When four or five sampling points were used, this reduced the impact of the choice of the location of the sampling points, and allowed to obtain fairly similar results than when six sampling points were used. These findings demonstrate the importance of the sampling strategy in cyanobacteria monitoring, and the fact that it is impossible to propose a single universal sampling strategy that is appropriate for all freshwater ecosystems and also for all cyanobacteria.

[1]  Brigitte Vinçon-Leite,et al.  High-frequency monitoring of phytoplankton dynamics within the European water framework directive: application to metalimnetic cyanobacteria , 2011 .

[2]  B. Ibelings,et al.  The ecophysiology of the harmful cyanobacterium Microcystis: features explaining its success and measures for its control , 2005 .

[3]  Wayne W. Carmichael,et al.  A Drinking Water Crisis in Lake Taihu, China: Linkage to Climatic Variability and Lake Management , 2010, Environmental management.

[4]  C. Steinberg,et al.  Toxic Microcystis in shallow lake Müggelsee (Germany): dynamics, distribution, diversity , 2003 .

[5]  J. Burrows,et al.  Quantitative observation of cyanobacteria and diatoms from space using PhytoDOAS on SCIAMACHY data , 2008 .

[6]  H. Paerl,et al.  Climate change: a catalyst for global expansion of harmful cyanobacterial blooms. , 2009, Environmental microbiology reports.

[7]  S. Jacquet,et al.  Application of a submersible spectrofluorometer for rapid monitoring of freshwater cyanobacterial blooms: a case study , 2002 .

[8]  G. Boyer,et al.  Molecular Characterization of Potential Microcystin-Producing Cyanobacteria in Lake Ontario Embayments and Nearshore Waters , 2007, Applied and Environmental Microbiology.

[9]  I. Baudin,et al.  A phycocyanin probe as a tool for monitoring cyanobacteria in freshwater bodies. , 2008, Journal of environmental monitoring : JEM.

[10]  Karen Moore,et al.  Simulated lake phytoplankton composition shifts toward cyanobacteria dominance in a future warmer climate. , 2010, Ecological applications : a publication of the Ecological Society of America.

[11]  T. Parsons,et al.  Discussion of Spectrophotometric Determination of Marine-plant Pigments , with Revised Equations for Ascertaining Chlorophylls and Carotenoids , 2015 .

[12]  J. Humbert,et al.  Spatiotemporal changes in the genetic diversity in French bloom-forming populations of the toxic cyanobacterium, Microcystis aeruginosa. , 2009, Environmental microbiology reports.

[13]  J. Bartram,et al.  DESIGN OF MONITORING PROGRAMMES , 1999 .

[14]  Z. Dubinsky,et al.  Diel buoyancy changes by the cyanobacterium Aphanizomenon ovalisporum from a shallow reservoir , 2001 .

[15]  Mary C. Watzin,et al.  Evaluation of sampling and screening techniques for tiered monitoring of toxic cyanobacteria in lakes , 2008 .

[16]  H. Dau,et al.  A fluorometric method for the differentiation of algal populations in vivo and in situ , 2004, Photosynthesis Research.

[17]  David Gilvear,et al.  The spatial dynamics of vertical migration by Microcystis aeruginosa in a eutrophic shallow lake: A case study using high spatial resolution time‐series airborne remote sensing , 2008 .

[18]  D. G. George,et al.  Spatial Heterogeneity of Cyanobacteria and Diatoms in a Thermally Stratified Canyon-Shaped Reservoir , 2009 .

[19]  S. Rabouille,et al.  Functional analysis of Microcystis vertical migration: A dynamic model as a prospecting tool: I—Processes analysis , 2005 .

[20]  J. Humbert,et al.  Spatiotemporal changes in the genetic diversity of a bloom-forming Microcystis aeruginosa (cyanobacteria) population , 2009, The ISME Journal.

[21]  A. Walsby,et al.  Gas vesicles , 1994, Microbiological reviews.

[22]  S. Rabouille,et al.  Functional analysis of Microcystis vertical migration: a dynamic model as a prospecting tool. II. Influence of mixing, thermal stratification and colony diameter on biomass production , 2005 .

[23]  H. Oh,et al.  Comparison of sampling and analytical methods for monitoring of cyanobacteria-dominated surface waters , 2007, Hydrobiologia.

[24]  Andrew N Tyler,et al.  Using remote sensing to aid the assessment of human health risks from blooms of potentially toxic cyanobacteria. , 2009, Environmental science & technology.

[25]  J. Bartram,et al.  HUMAN HEALTH ASPECTS , 1999 .

[26]  Jamie Bartram,et al.  Toxic Cyanobacteria in Water: a Guide to Their Public Health Consequences, Monitoring and Management Chapter 2. Cyanobacteria in the Environment 2.1 Nature and Diversity 2.1.1 Systematics , 2022 .