Phytoplankton cells have evolved sophisticated strategies for actively responding to environmental signals, most notably to mechanical stresses of hydrodynamic origin. A largely unanswered question, however, is the significance of these cellular responses for the largely heterogeneous spatial distribution of cells found in the oceans. Motivated by the physiological regulation of buoyancy prevalent in nonmotile phytoplankton species, we solve here a minimal model for "active" sinking that incorporates these cellular responses. Within this model, we show how buoyancy regulation leads to intense patchiness for nonmotile species as compared to passive tracers, resulting in important variations in settling speeds and, as a consequence, determining escape rates to the deep ocean.
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http://dx.doi.org/10.1103/PhysRevLett.114.128102 | DOI Listing |
Sci Total Environ
November 2024
Institute of Marine Sciences of Andalusia (CSIC), Department of Ecology and Coastal Management, Campus Universitario Río San Pedro, s/n, 11510 Puerto Real, Spain. Electronic address:
Despite the existing connectivity and heterogeneity of aquatic habitats, the concept of interconnected landscapes has been frequently overlooked in ecotoxicological risk assessment studies. In this study, a novel mesocosm system, the HeMHAS (Heterogeneous Multi-Habitat Assay System), was constructed with the potential to assess structural and functional changes in a community resulting from exposure to contaminants, while also considering the complex ecological scenarios. Fish (Sparus aurata), shrimp (Palaemon varians) and three species of marine microalgae (Isochrysis galbana, Nannochloropsis gaditana and Tetraselmis chuii) were used as test organisms.
View Article and Find Full Text PDFJ Phycol
August 2024
Laboratoire Biologie des Organismes et Ecosystèmes Aquatiques, UMR 8067 BOREA, Normandie Université, Unicaen, Caen, France.
Phytoplankton cells are now recognized as dynamic entities rather than as passive and isolated particles because they can actively modulate impacts of selection factors (nutrients, light, turbidity, and mixing) through a wide range of adaptations. Cell shape and/or chain length modulation is one of these processes but has predominantly been studied as an adaptation or an acclimatation to a specific growth limitation (light, nutrients, predation, etc.).
View Article and Find Full Text PDFSci Rep
October 2023
Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India.
The intensity of eddy diffusivity and the spatial average of water velocity at the depths of the water column in oceans and lakes play a fundamental role in phytoplankton production and phytoplankton and zooplankton biomass, and community composition. The critical depth and intensity of turbulent mixing within the water column profoundly affect phytoplankton biomass, which depends on the sinking characteristic of planktonic algal species. We propose an Nutrient-Phytoplankton-Zooplankton (NPZ) model in 3D space with light and nutrient-limited growth in a micro-scale ecological study.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2023
Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA 02543.
Harmful algal blooms (HABs) are increasing globally, causing economic, human health, and ecosystem harm. In spite of the frequent occurrence of HABs, the mechanisms responsible for their exceptionally high biomass remain imperfectly understood. A 50-y-old hypothesis posits that some dense blooms derive from dinoflagellate motility: organisms swim upward during the day to photosynthesize and downward at night to access deep nutrients.
View Article and Find Full Text PDFLangmuir
November 2022
Soft Matter Sciences and Engineering Laboratory, ESPCI Paris, Université PSL, Sorbonne Université, Centre National de la Recherche Scientifique, UMR 7615, 10 Rue Vauquelin, F-75005Paris, France.
The colloidal stability of non-motile algal cells in water drives their distribution in space. An accurate description of the interfacial properties of microalgae is therefore critical to understand how microalgae concentrations can change in their biotope or during harvesting processes. Here, we probe the surface charges of three unicellular algae─, , and ─through their electrophoretic mobility.
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