Growth and diel vertical migration patterns of the toxic dinoflagellate Protoceratium reticulatum in a water column with salinity stratification: the role of bioconvection and light

Erga, Svein Rune; Olseng, Christine Daae; Aarø, Lars Harald

doi:10.3354/meps11488

Cited by 7 publications

(1 citation statement)

References 92 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3). The vertical migration speed applied here is sufficient to create the bloom intensity in shallow regions, although algal cells might adjust their swimming behaviors based on phototaxis, geotaxis, temperature, turbulence intensity, stratification, internal biochemical state, chain length, life-cycle stage, and so on (Heaney and Eppley 1981;Park et al 2001;Erga et al 2015;Henrichs et al 2015;Lovecchio et al 2019;Brosnahan et al 2020;Shikata et al 2020;Lim et al 2022). More field observations and laboratory experiments are expected to better constrain the DVMs of M. polykrikoides.…”

Section: Effects Of Dvmsmentioning

confidence: 91%

Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration

Xiong

Shen

Qin

et al. 2023

Limnol Oceanogr Letters

View full text Add to dashboard Cite

Climate change and nutrient pollution contribute to the expanding global footprint of harmful algal blooms. To better predict their spatial distributions and disentangle biophysical controls, a novel Lagrangian particle tracking and biological (LPT‐Bio) model was developed with a high‐resolution numerical model and remote sensing. The LPT‐Bio model integrates the advantages of Lagrangian and Eulerian approaches by explicitly simulating algal bloom dynamics, algal biomass change, and diel vertical migrations along predicted trajectories. The model successfully captured the intensity and extent of the 2020 Margalefidinium polykrikoides bloom in the lower Chesapeake Bay and resolved fine‐scale structures of bloom patchiness, demonstrating a reliable prediction skill for 7–10 d. The fully coupled LPT‐Bio model initialized/calibrated by remote sensing and controlled by ambient environmental conditions appeared to be a powerful approach to predicting transport pathways, identifying bloom hotspots, resolving concentration variations at subgrid scales, and investigating responses of HABs to changing environmental conditions and human interference.

show abstract