Low-Reynolds-number swimming at pycnoclines

Microorganisms play pivotal functions in the trophic dynamics and biogeochemistry of aquatic ecosystems. Their concentrations and activities often peak at localized hotspots, an important example of which are pycnoclines, where water density increases sharply with depth due to gradients in temperatu...

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Bibliographic Details
Main Authors: Stocker, Roman (Contributor), Doostmohammadi, Amin (Author), Ardekani, Arezoo M. (Author)
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering (Contributor), Parsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology) (Contributor)
Format: Article
Language:English
Published: National Academy of Sciences (U.S.), 2013-03-21T19:10:58Z.
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Summary:Microorganisms play pivotal functions in the trophic dynamics and biogeochemistry of aquatic ecosystems. Their concentrations and activities often peak at localized hotspots, an important example of which are pycnoclines, where water density increases sharply with depth due to gradients in temperature or salinity. At pycnoclines organisms are exposed to different environmental conditions compared to the bulk water column, including reduced turbulence, slow mass transfer, and high particle and predator concentrations. Here we show that, at an even more fundamental level, the density stratification itself can affect microbial ecology at pycnoclines, by quenching the flow signature, increasing the energetic expenditure, and stifling the nutrient uptake of motile organisms. We demonstrate this through numerical simulations of an archetypal low-Reynolds-number swimmer, the "squirmer." We identify the Richardson number-the ratio of buoyancy forces to viscous forces-as the fundamental parameter that quantifies the effects of stratification. These results demonstrate an unexpected effect of buoyancy on low-Reynolds-number swimming, potentially affecting a broad range of abundant organisms living at pycnoclines in oceans and lakes.
National Science Foundation (U.S.) (Grant CBET-1066545)