Predicting cyanobacteria dominance in lakes

By J. Downing, Sue Watson, E. Mccauley. 2001

809 citations recorded by the source corpus.

Subfields: Environmental Chemistry, Oceanography

View Paper: https://www.semanticscholar.org/paper/8a53cc39e4707feb67a2cb2f4750ebfac3c7e20e

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In Environmental Chemistry

In Oceanography

Citations in the corpus

A novel model for cyanobacteria bloom formation: the critical role of anoxia and ferrous iron (2014, background): “…(i) most oligotrophic freshwater systems are P-limited (Hecky, Campbell & Hendzel, 1993), (ii) cyanobacteria dominance of oligotrophic P-limited systems is (or has been) rare (Downing et al., 2001), and (iii) it is easier and cheaper to remove P from waste water treatment plant effluent than N.”
Harmful algal blooms: How strong is the evidence that nutrient ratios and forms influence their occurrence? (2012, background): “However, Reynolds (1999) and Downing et al. (2001) questioned this, arguing that relationships were coincidental rather than causal, and that P was a better predictor of cyanobacterial dominance.”
Harmful Algal Blooms (2015, background): “:P ratio), although this relationship is widely debated (Smith et al., 1999; Elser et al., 2007; Downing et al., 2001; Conley et al., 2009; Schindler, 2012).”
Ecology of Harmful Cyanobacteria (2006, background): “For example, Downing et al. (2001) showed that increased nutrient concentrations and loadings of N and P were better predictors of CyanoHAB dominance.”
Eutrophication of freshwater and coastal marine ecosystems a global problem (2003, background): “However, other researchers (e.g., Trimbee and Prepas 1987, Canfield et al. 1989, Jensen et al. 1994, Reynolds 1997, Downing et al. 2001) have concluded from their own analyses that elevated absolute concentrations of total phosphorus per se, rather than the presence of low TN:TP ratios, result in…”
Dominance of the noxious cyanobacterium Microcystis aeruginosa in low‐nutrient lakes is associated with exotic zebra mussels (2004, background): “Decades of limnological research have firmly established the paradigm that cyanobacteria increasingly dominate summer phytoplankton communities as lakes are enriched with nutrients (Trimbee and Prepas 1987; Paerl 1988; Watson et al. 1997; Downing et al. 2001).”
Nutrients and water temperature are significant predictors of cyanobacterial biomass in a 1147 lakes data set (2013, background): “In particular, our results provide support for the models based on smaller data sets (, 100 lakes; Downing et al. 2001; Dolman et al. 2012), which have also shown that nitrogen is generally a stronger predictor of CBB and dominance than phosphorus and that the TN : TP ratio provides weaker models.”
Harmful Cyanobacterial Blooms: Causes, Consequences, and Controls (2013, background): “enzymatically converting atmospheric N (N2) to biologically available ammonia (NH3) [28, 39, 45].”
Blooming algae: a Canadian perspective on the rise of toxic cyanobacteria (2016, background): “Total phosphorus (TP) and total nitrogen (TN) are strong predictors of mean cyanobacterial biomass (with snapshot samplings) over large concentration gradients (Downing et al. 2001; Beaulieu et al. 2013), including Canadian lakes where the nutrient–cyanobacterialmodels do not differ substantially ac”
GLOBIO-Aquatic, a global model of human impact on the biodiversity of inland aquatic ecosystems (2015, background): “Several empirical models already exist that relate cyanobacterial biomass to total phosphorus (TP) and total nitrogen (TN) concentrations and water temperature, developed by Smith (1985), Watson et al. (1997), Downing et al. (2001), Håkanson et al. (2007) and Kosten et al. (2012).”