The relationship between the dominance of Cyanobacteria species and environmental variables in different seasons and after extreme precipitation

Simić, Snežana B.; Đorđević, Nevena B.; Milošević, Djuradj

doi:10.1127/fal/2017/0975

Cited by 18 publications

(11 citation statements)

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“…Phosphorus (P) loss to surface freshwater is a key driver of environmental degradation (Jarvie et al 2013;Scavia et al 2014), including blooms of both harmful (e.g., Microcystis) (Conroy et al 2014;Steffen et al 2014;Simic et al 2017) and nuisance (e.g., Cladophora) algae (Howell and Dove 2017), along with contributing to the development of hypoxic zones that impact fish habitat (Bouffard et al 2013;Scavia et al 2014). Although agricultural runoff is not the only source of P loading to surface water, it is significant in many areas and is implicated as the dominant source to some of the most heavily impacted waters (Sharpley et al 2003;Michaud et al 2004;Joosse and Baker 2011;Bunting et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Phosphorus accumulation in Canadian agricultural soils over 30 yr

Reid

Schneider

2019

Can. J. Soil. Sci.

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Phosphorus (P) loss to freshwater is a key driver of eutrophication, and understanding the scale and spatial distribution of potential P sources is a key pre-requisite for implementing policies for P management to minimize environmental impacts. Soil test P (STP) is a useful indicator of the accumulation of P in soils, but these data are not readily available for most agricultural land in Canada, so the cumulative P balance (P inputs as manure or fertilizer minus removal of P in crops) is calculated as a proxy for this value. Cumulative P balance is an important calculation within the indicator of risk of water contamination by P, so allocations of manure and fertilizer P to cropland were updated within the calculation of P balance, and for Ontario, data from 1961 to 1980 were added to account for P applications during that period. The STP concentrations were calculated from the resulting cumulative P balances. When compared with reported STP concentrations, the predicted concentrations showed a statistically significant regression at the national (R2 = 78%) and provincial scale (Ontario, R2 = 36%; Prince Edward Island, R2 = 36%; Manitoba, R2 = 72%; British Columbia, R2 = 40%). There was significant variation in the cumulative P balance across Canada, with the highest values corresponding with areas of high livestock density, whereas large zones of P deficit were detected across the Prairies.

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Section: Introductionmentioning

confidence: 99%

Phosphorus accumulation in Canadian agricultural soils over 30 yr

Reid

Schneider

2019

Can. J. Soil. Sci.

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“…Phosphorus (P) loss to surface freshwater is a key driver of environmental degradation (Sharpley et al, 2003;Jarvie et al, 2013;Scavia et al, 2014), including blooms of both harmful (e.g., microcystis) (Conroy et al, 2014;Steffen et al, 2014;Simic et al, 2017) and nuisance (e.g., cladophora) algae (Auer et al, 2010;Depew et al, 2011;Howell and Dove, 2017), along with contributing to the development of hypoxic zones that impact fish habitat (Bouffard et al, 2013;Scavia et al, 2014). While agricultural runoff is not the only source of P loading to surface water, it is significant in many areas and is implicated as the dominant source to some of the most heavily impacted waters (Sharpley et al, 2003;Michaud et al, 2004;Joosse and Baker, 2011;Bunting et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Components of Phosphorus Loss From Agricultural Landscapes, and How to Incorporate Them Into Risk Assessment Tools

2018

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“…For instance, the cyanobacteria presence may be strongly influenced by physical factors, such as the local climate conditions (Karadžić et al 2013). The extreme precipitation in a reservoir cause increased nutrients concentration and, then, altered the composition of the phytoplankton community by cyanobacteria, evidencing the first bloom events after the suppression of other species (Simić et al 2017).…”

Section: Environmental Variablesmentioning

confidence: 99%

Using distribution models to estimate blooms of phytosanitary cyanobacteria in Brazil

et al. 2020

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The multiple uses of aquatic ecosystems by humankind and the continuous interference of their activities have contributed to the emergence of potentially toxic cyanobacteria blooms. Here, we firstly created a database of occurrences of cyanobacteria blooms in Brazil through a systematic review of the scientific literature available in online platforms (e.g. Web of Science, Capes Thesis Catalogue). Secondly, we carried out ecological niche models with occurrence data obtained from these studies to predict climatically suitable areas for blooms. We select 21 bioclimatic variables input environmental data. We used five modeling methods for the current climate scenario: (1) Maxent; (2) Support Vector Machines; (3) Random Forest; (4) Maximum Likelihood e (5) Gaussian. We found that the number of publications about bloom events was higher in 2009 with a decline in the years 2012, 2013 and 2017. Furthermore, the years with the higher records of blooms in freshwater environments were 2005, 2011 e 2014. These events occurring mainly in public supply reservoirs and are mostly of the genera Microcystis Lemmermann, 1907, Dolichospermum (Ralfs ex Bornet & Flahault) P.Wacklin, L.Hoffmann & J.Komárek, 2009 and Raphidiopsis F.E.Fritsch & F.Rich, 1929. Modeling the potential distribution of blooms, we found sampling gaps that should be targeting for future researches, especially in the Amazon biome. Overall, the models did not predict highly suitable areas in the /north of Brazil, while other regions were relatively well distributed with a higher number of occurrence records in the Southeast region.

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The relationship between the dominance of Cyanobacteria species and environmental variables in different seasons and after extreme precipitation

Cited by 18 publications

References 0 publications

Phosphorus accumulation in Canadian agricultural soils over 30 yr

Phosphorus accumulation in Canadian agricultural soils over 30 yr

Components of Phosphorus Loss From Agricultural Landscapes, and How to Incorporate Them Into Risk Assessment Tools

Using distribution models to estimate blooms of phytosanitary cyanobacteria in Brazil

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