2015
DOI: 10.1890/13-1677.1
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Determining the probability of cyanobacterial blooms: the application of Bayesian networks in multiple lake systems

Abstract: A Bayesian network model was developed to assess the combined influence of nutrient conditions and climate on the occurrence of cyanobacterial blooms within lakes of diverse hydrology and nutrient supply. Physicochemical, biological, and meteorological observations were collated from 20 lakes located at different latitudes and characterized by a range of sizes and trophic states. Using these data, we built a Bayesian network to (1) analyze the sensitivity of cyanobacterial bloom development to different enviro… Show more

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Cited by 119 publications
(60 citation statements)
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“…In eutrophic waters, and especially where the concentrations of total phosphorus, ammoniacal nitrogen, and nitrate nitrogen exceed 0.1 mg·dm -3 and the total nitrogen exceeds the value of 1.5 mg·dm -3 , cyanobacteria can multiply at a fast rate, which results in the formation of bloom [1][2]. A bloom is the effect of a massive development of various species of phytoplankton groups in water: cyanobacteria, diatoms, chlorophyta.…”
Section: Introductionmentioning
confidence: 99%
“…In eutrophic waters, and especially where the concentrations of total phosphorus, ammoniacal nitrogen, and nitrate nitrogen exceed 0.1 mg·dm -3 and the total nitrogen exceeds the value of 1.5 mg·dm -3 , cyanobacteria can multiply at a fast rate, which results in the formation of bloom [1][2]. A bloom is the effect of a massive development of various species of phytoplankton groups in water: cyanobacteria, diatoms, chlorophyta.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, a combined effect of climate change and nutrient levels on cyanobacterial bloom growth has been demonstrated by Liu et al (2011) and Gkelis et al (2014). The interactive effect of eutrophication and climate change on the growth of these blooms, particularly future growth, is complex (O'Neil et al 2012), and it varies according to the lake classification, such as a dimictic or polymictic basin (Taranu et al 2012), as well as the lake area (Duan et al 2015), the trophic status (Rigosi et al 2014(Rigosi et al , 2015, and the cyanobacterial taxon (Rigosi et al 2014) or strain (Davis et al 2009). …”
Section: Introductionmentioning
confidence: 99%
“…Understanding the effects of warming on plankton communities is extremely important since it may also contribute to financial losses in terms of human health as well as loss of recreational areas. For example, recent literature has predicted the future increase in potentially harmful phytoplankton blooms (harmful algal blooms, HABs) also in relation to climate change (Rigosi et al, 2015).…”
Section: Introductionmentioning
confidence: 99%