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2017
DOI: 10.1016/j.ecoleng.2017.07.032
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Associations between county-level land cover classes and cyanobacteria blooms in the United States

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Cited by 24 publications
(17 citation statements)
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“…Dominance was determined by a combination of (i) water column characteristics, that are related to the intensity of local anthropogenic pressures (TN and TN:TP) and meteorological conditions (water temperature and stratification), and (ii) the capacity of waterbodies to buffer these pressures (surface, depth) or the potential for immigration of taxa from other lakes including harmful algea (connection to the hydrological network). Our results support previous investigations showing that high N concentrations (Almanza et al, 2018;Beaver et al, 2018;Bonilla et al, 2012;Marion et al, 2017;Paerl and Otten, 2016;Persaud et al, 2015) and warmer waters (Dokulil and Teubner, 2000;Paerl and Huisman, 2008;Wagner and Adrian, 2009) favor the dominance of Cyanobacteria in phytoplankton communities at large scales. This is thought to be related to the particular ecological traits of these organisms (Mantzouki et al, 2016), such as higher increase in growth rates per unit of temperature compared with other groups (Carey et al, 2012), their ability to fix atmospheric N 2 , or to regulate their buoyancy in stratified water columns associated with warmer waters (Rinke et al, 2010).…”
Section: Drivers Of Dominance In Phytoplankton Communities From the Psupporting
confidence: 92%
See 1 more Smart Citation
“…Dominance was determined by a combination of (i) water column characteristics, that are related to the intensity of local anthropogenic pressures (TN and TN:TP) and meteorological conditions (water temperature and stratification), and (ii) the capacity of waterbodies to buffer these pressures (surface, depth) or the potential for immigration of taxa from other lakes including harmful algea (connection to the hydrological network). Our results support previous investigations showing that high N concentrations (Almanza et al, 2018;Beaver et al, 2018;Bonilla et al, 2012;Marion et al, 2017;Paerl and Otten, 2016;Persaud et al, 2015) and warmer waters (Dokulil and Teubner, 2000;Paerl and Huisman, 2008;Wagner and Adrian, 2009) favor the dominance of Cyanobacteria in phytoplankton communities at large scales. This is thought to be related to the particular ecological traits of these organisms (Mantzouki et al, 2016), such as higher increase in growth rates per unit of temperature compared with other groups (Carey et al, 2012), their ability to fix atmospheric N 2 , or to regulate their buoyancy in stratified water columns associated with warmer waters (Rinke et al, 2010).…”
Section: Drivers Of Dominance In Phytoplankton Communities From the Psupporting
confidence: 92%
“…dominance in phytoplankton communities are still relatively scarce (Almanza et al, 2018) or were mostly focused on Cyanobacteria (Beaver et al, 2018;Marion et al, 2017;O'Farrell et al, 2019) and sometimes on only one or two species (Bonilla et al, 2012;Marmen et al, 2016). Moreover, there is no comparison of the consequence of dominance by various organisms on the structure and functioning of phytoplankton communities.…”
Section: U N C O R R E C T E D P R O O Fmentioning
confidence: 99%
“…In our study, there was little difference in chlorophyll among pond types, and the range of concentrations was similar to those reported from northern Illinois (Lipsey 1980). Other studies have found higher chlorophyll a concentrations in urban ponds when compared to forested ponds (Kuczy nska-Kippen and Joniak 2010; Marion et al 2017). However, all of our study sites lie within urbanized watersheds, even when immediately surrounded by a forest preserve or golf course.…”
Section: Chlorophyll a And Phycocyaninsupporting
confidence: 87%
“…Two additional categories of nutrient‐related variables (nutrient inputs and nutrient loading) were included as candidate variables. Annual NANI, NAPI, and nitrogen and phosphorus fertilizer inputs were included, with the fertilizer components considered because of previous importance in predicting cyanobacterial blooms across the CONUS (Marion et al ). TN loading estimates as modeled based on HUC8 watersheds across the CONUS (Sinha and Michalak ) were also included ( see Supporting Information Table S1).…”
Section: Methodsmentioning
confidence: 99%