Delineation of the role of nutrient dynamics and hydrologic forcing on phytoplankton patterns along a freshwater–marine continuum

Arhonditsis, George B.; Stow, Craig A.; Paerl, Hans W.; Valdes-Weaver, Lexia M.; Steinberg, Laura J.; Reckhow, Kenneth H.

doi:10.1016/j.ecolmodel.2007.06.010

Cited by 52 publications

(26 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Water temperature is another factor that modulate algal productivity and biomass levels (Eppley 1972;Calliari et al 2005;Haldna et al 2008). Phytoplankton blooms are also associated with hydrodynamics (Reynolds 1993;Jacoby et al 2000;Becker et al 2009) such as current speed and precipitation which frequently trigger biogeochemical and trophic responses in ecosystems (Arhonditsis et al 2007;Gameiro et al 2007). Current speed can alter water physical conditions and nutrient concentrations, which, in turn, can directly affect phytoplankton community composition and spatiotemporal distribution (Paerl et al 2006;Arhonditsis et al 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Phytoplankton blooms are also associated with hydrodynamics (Reynolds 1993;Jacoby et al 2000;Becker et al 2009) such as current speed and precipitation which frequently trigger biogeochemical and trophic responses in ecosystems (Arhonditsis et al 2007;Gameiro et al 2007). Current speed can alter water physical conditions and nutrient concentrations, which, in turn, can directly affect phytoplankton community composition and spatiotemporal distribution (Paerl et al 2006;Arhonditsis et al 2007). Sometimes, rainfall is a major external forcing factor influencing phytoplankton community composition and their surrounding environments (Liu et al 2005;Gameiro et al 2007).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Phytoplankton variation and its relationship with the environment in Xiangxi Bay in spring after damming of the Three-Gorges, China

Zhou

Zhao

et al. 2010

Environ Monit Assess

View full text Add to dashboard Cite

Following the completion of the ThreeGorges Dam, there was a strong spring phytoplankton bloom in Xiangxi Bay of Three-Gorges Reservoir. However, our knowledge of relationship between spring phytoplankton bloom and environmental factors was still limited. In this study, phytoplankton species composition, biomass, chlorophyll a concentration and environmental factors at two sampling sites in Xiangxi Bay were investigated during 25 March to 18 May 2007. The Xiangxi Bay was eutrophic with the lowest values of total nitrogen and total phosphorus being 0.80 and 0.07 mg/L, respectively. A total of 66 algal taxa belonging to seven phyla and 45 genera were identified. Peridiniopsis niei Liu was the most abundant species which preferred standing water. Canonical correspondence analysis and correlation analysis revealed that nitrate was significantly associated with phytoplankton growth. The phytoplankton chlorophyll a concentration was correlated significantly negatively with nitrate concentration, and nitrate concentration was very low during bloom periods. Heavy rainfall was the main reason of phytoplankton chlorophyll a concentration and biomass decreasing and blooms disappearing. In addition, heavy rainfall also brought more nitrate into the Bay which provided sufficient nitrogen source for blooms occurring again.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Phytoplankton variation and its relationship with the environment in Xiangxi Bay in spring after damming of the Three-Gorges, China

Zhou

Zhao

et al. 2010

Environ Monit Assess

View full text Add to dashboard Cite

show abstract

“…While the precise mechanisms have not been determined, these systems presumably had longer detention times, more frequent periods of stagnation, and reduced hydraulic flushing. Arhonditsis et al (2007) found that higher rates of N 2 fixation were associated with locations and periods with low hydrologic flushing.…”

Section: Interannual Variabilitymentioning

confidence: 95%

“…Cell washout lowers concentrations of all phytoplankton, which could result in higher levels of inorganic nutrients. Greater flushing rates (and shorter retention times) also tend to favor faster growing species that are not typically N 2 -fixers (Maberly et al 2002, Arhonditsis et al 2007). Unexpectedly low rates of N 2 fixation were found in July 2004 despite the onset of N 2 fixation in June 2004.…”

Section: Interannual Variabilitymentioning

confidence: 99%

“…The importance of calm conditions for the development of a cyanobacteria surface scum has long been recognized (Paerl 1985). More recently, Arhonditsis et al (2007) found that along a riverine-to-estuarine gradient, cyanobacteria favored downstream conditions where hydrologic forcing was reduced. Forbes et al (2008) demonstrated that, at various locations within warm, polymictic reservoirs, higher rates of nitrogen fixation occurred at sites with smaller drainage area to water surface area ratios and presumably lower flushing potential.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Hot spots and hot moments of planktonic nitrogen fixation in a eutrophic southern reservoir

Doyle

Scott

Forbes

2010

Lake and Reservoir Management

View full text Add to dashboard Cite

A cross-scale view of N and P limitation using a Bayesian hierarchical model

et al. 2016

Self Cite

View full text Add to dashboard Cite

We propose a bivariate Bayesian hierarchical model (BBHM), which adds a perspective on a century‐long subject of research, nitrogen (N) and phosphorus (P) dynamics in freshwater and coastal marine ecosystems. The BBHM is differentiated from existing approaches by modeling multiple aspects of N‐P relationships―N and P concentration variability, ratio, and correlation―simultaneously, allowing these aspects to vary by seasonal and/or spatial components. The BBHM is applied to three aquatic systems, Finnish Lakes, Saginaw Bay, and the Neuse Estuary, which exhibit differing landscapes and complexity of nutrient dynamics. Our model reveals N and P dynamics that are critical to inferring unknown N and P distributions for the overall system as well as for within system variability. For Finnish lakes, strong positive within‐ and among‐lake N and P correlations indicate that the rates of N and P biogeochemical cycles are closely coupled during summer across the different lake categories. In contrast, seasonal decoupling between N and P cycles in Saginaw Bay is evidenced by the large variability in monthly correlations and the seasonal changes in the N distribution. The results underscore the pivotal role that dreissenids have had on the cycling of nutrients and resurgence of eutrophication. The presence of clear seasonality and a spatial gradient in the distributions and N and P in the Neuse Estuary suggest that riverine N input is an important source in the season‐space N dynamics, while summer sediment release is a major process regulating seasonal P distribution.

show abstract

Delineation of the role of nutrient dynamics and hydrologic forcing on phytoplankton patterns along a freshwater–marine continuum

Cited by 52 publications

References 42 publications

Phytoplankton variation and its relationship with the environment in Xiangxi Bay in spring after damming of the Three-Gorges, China

Phytoplankton variation and its relationship with the environment in Xiangxi Bay in spring after damming of the Three-Gorges, China

Hot spots and hot moments of planktonic nitrogen fixation in a eutrophic southern reservoir

A cross-scale view of N and P limitation using a Bayesian hierarchical model

Contact Info

Product

Resources

About