The profound effect of harmful cyanobacterial blooms: from food-web and management perspectives
Sigitas Šulčius , Danguolė Montvydienė , Hanna Mazur-Marzec , Jūratė Kasperovičienė , Rokas Rulevičius , Živilė Cibulskaitė
AbstractSustainable and effective water management plans must have a reliable risk assessment strategies for harmful cyanobacterial blooms (HABs) that would enable timely decisions to be made, thus avoiding the trespassing of ecological thresholds, leading to the collapse of ecosystem structure and function. Such strategies are usually based on cyanobacterial biomass and/or on the monitoring of known toxins, which may, however, in many cases, under- or over-represent the actual toxicity of the HAB. Therefore, in this study, by the application of growth-inhibition assays using different bacteria, algae, zooplankton and fish species, we assessed the toxicological potential of two cyanobacterial blooms that differed in total cyanobacterial biomass, species composition and cyanopeptide profiles. We demonstrated that neither cyanobacterial community composition nor its relative abundance, nor indeed concentrations of known toxins reflected the potential risk of HAB based on growth-inhibition assays. We discuss our findings in the context of food-web dynamics and ecosystem management, and suggest that toxicological tests should constitute a key element in the routine monitoring of water bodies so as to prevent under-/over-estimation of potential HAB risk for both ecosystem and public health.
|Other language title versions|
|Journal series||Science of the Total Environment, ISSN 0048-9697, (A 40 pkt)|
|Publication size in sheets||0.5|
|Keywords in English||aphanizomenon flos-aquae, Baltic Sea, Curonian Lagoon, cyanotoxins, recreational waters|
|License||Other; published final; ; with publication|
|Score|| = 40.0, 20-12-2017, ArticleFromJournal|
= 40.0, 20-12-2017, ArticleFromJournal
|Publication indicators||: 2016 = 4.9 (2) - 2016=5.102 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.