Diel vertical migration thresholds of Karenia brevis (Dinophyceae)

Schaeffer, Blake A.; Kamykowski, Daniel; Sinclair, Geoff; McKay, Laurie; Milligan, Edward

doi:10.1016/j.hal.2009.01.002

Cited by 21 publications

(8 citation statements)

References 27 publications

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“…Because many phytoplankton (e.g., dinoflagellates) can also move vertically in various marine and freshwater systems (Kamykowski et al 1992;Schofield et al 2006;Schaeffer et al 2009), this research represents one of the pilot efforts and may also serve as a template toward future remote sensing studies of phytoplankton dynamics and their response to environmental changes in natural environments. For example, using GOCI images, Lou and Hu (2014) showed changes in bloom size of the dinoflagellate Prorocentrum donghaiense in the East China Sea, and such changes were speculated to be a result of dinoflagellate vertical movement.…”

Section: Implications On Bloom Dynamics and Bloom Monitoringmentioning

confidence: 99%

Diurnal changes of cyanobacteria blooms in Taihu Lake as derived from GOCI observations

Visser

et al. 2018

Limnology & Oceanography

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Using frequent and long‐term measurements (eight times per day, 2011 to present) from a geostationary satellite sensor (Geostationary Ocean Color Imager, GOCI), this study investigates diurnal changes of cyanobacterium Microcystis aeruginosa blooms (near‐surface high concentrations or surface scums) in Taihu Lake, from which vertical migration patterns could be inferred. After proper atmospheric correction, a cyanobacterial index algorithm is used to quantify equivalent surface cyanobacterial density (σ, 0–100%) at both pixel and synoptic scales from each cloud‐free image, followed by analysis of diurnal changing patterns of σ at both scales. Three typical diurnal changing patterns are identified from all images, which show distinctive and different seasonality from the long‐term statistics. Spatial distributions of the “hotspot” regions where diurnal changes are most often observed have also been established. While the seasonality of the three patterns appears to be a result of seasonality in both temperature and light availability, large blooms only occur 1 d after major wind events. Based on several lines of evidence, we hypothesize that the diurnal changes of such observed surface bloom patterns are likely a result of vertical migration rather than horizontal dissipation/aggregation of cyanobacteria. The mean migration speeds inferred from either a simple model or a radiative transfer model (< 0.03 cm s−1 or < 1 m h−1) are consistent with those reported earlier from laboratory measurements for certain cyanobacteria colony sizes. Complete understanding of the three types of diurnal patterns and direct validation of the hypothesis, however, require further investigations from field measurements.

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Section: Implications On Bloom Dynamics and Bloom Monitoringmentioning

confidence: 99%

Diurnal changes of cyanobacteria blooms in Taihu Lake as derived from GOCI observations

Visser

et al. 2018

Limnology & Oceanography

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“…On the west coast of Florida however, winds in the fall tend to favor upwelling (Stumpf et al, , 2008He and Weisberg, 2003;Walsh et al, 2006;Weisberg et al, 2009). This has led to many studies hypothesizing that K. brevis in bottom waters is carried inshore to frontal boundaries Walsh et al, 2006;Stumpf et al, 2008;Milroy et al, 2008;Weisberg et al, 2009;Schaeffer et al, 2009). But upwelling alone will not concentrate the cells, only bring deep dwelling cells closer to the coastline.…”

Section: K Brevis In the Gulf Of Mexicomentioning

confidence: 99%

Karenia: The biology and ecology of a toxic genus

2012

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“…Blooms transported inshore by prevailing winds and currents (Stumpf et al, 2008;Walsh et al, 2006) encounter increased variability in temperature, salinity, pH, light, and turbulence, leading to either adaptation and persistence (maintenance phase) or bloom demise (termination phase) (Van Dolah et al, 2009). K. brevis possesses a number of distinguishing physiological attributes that may allow this species to outcompete other phytoplankton, including the ability to efficiently take up nutrients from oligotrophic waters (Vargo, 2009;Vargo et al, 2008), the use of both organic and inorganic forms of nitrogen and phosphorous (Baden and Mende, 1979;Mulholland et al, 2006;Sinclair et al, 2009), and vertical migration to assist in nutrient acquisition (Schaeffer et al, 2007;Schaeffer et al, 2009). Other adaptive characteristics include photoadaptive abilities to prevent UV damage (Evens et al, 2001) and the production of allelopathic substances which work to reduce the growth rate of competing phytoplankton species (Prince et al, 2008).…”

Section: Introductionmentioning

confidence: 99%