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Experiments in Fluids

, 57:180 | Cite as

Portable tomographic PIV measurements of swimming shelled Antarctic pteropods

  • Deepak Adhikari
  • Donald R. Webster
  • Jeannette Yen
Research Article

Abstract

A portable tomographic particle image velocimetry (tomographic PIV) system is described. The system was successfully deployed in Antarctica to study shelled Antarctic pteropods (Limacina helicina antarctica)—a delicate organism with an unusual propulsion mechanism. The experimental setup consists of a free-standing frame assembled with optical rails, thus avoiding the need for heavy and bulky equipment (e.g. an optical table). The cameras, lasers, optics, and tanks are all rigidly supported within the frame assembly. The results indicate that the pteropods flap their parapodia (or “wings”) downward during both power and recovery strokes, which is facilitated by the pitching of their shell. Shell pitching significantly alters the flapping trajectory, allowing the pteropod to move vertically and/or horizontally. The pronation and supination of the parapodia, together with the figure-eight motion during flapping, suggest similarities with insect flight. The volumetric velocity field surrounding the freely swimming pteropod reveals the generation of an attached vortex ring connecting the leading-edge vortex to the trailing-edge vortex during power stroke and a presence of a leading-edge vortex during recovery stroke. These vortex structures play a major role in accelerating the organism vertically and indicate that forces generated on the parapodia during flapping constitute both lift and drag. After completing each stroke, two vortex rings are shed into the wake of the pteropod. The complex combination of body kinematics (parapodia flapping, shell pitch, sawtooth trajectory), flow structures, and resulting force balance may be significantly altered by thinning of the pteropod shell, thus making pteropods an indicator of the detrimental effects of ocean acidification.

Keywords

Particle Image Velocimetry Vortex Ring Ocean Acidification Swimming Behavior Power Stroke 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

We thank the United States Antarctic Program for their support on RV Laurence M. Gould and at Palmer Station, Antarctica, that made this study successful. We gratefully acknowledge Dr. David Fields (Bigelow Laboratory for Ocean Sciences), Dr. Roi Holzman (Tel Aviv University), Dr. Rajat Mittal (Johns Hopkins University), Dr. Marc Weissburg (Georgia Institute of Technology), and Dr. Jun Zhang (New York University) for many fruitful discussions and their help in collecting pteropods in Antarctica. This work is supported by the US National Science Foundation (PLR-1246296).

Supplementary material

348_2016_2269_MOESM1_ESM.avi (35.7 mb)
Supplementary material 1 (AVI 36597 kb)

References

  1. Adhikari D, Longmire EK (2012) Visual hull method for tomographic PIV measurement of flow around moving objects. Exp Fluids 53:943–964CrossRefGoogle Scholar
  2. Adhikari D, Longmire EK (2013) Infrared tomographic PIV and 3D motion tracking system applied to aquatic predator-prey interaction. Meas Sci Technol 24:024011CrossRefGoogle Scholar
  3. Adhikari D, Gemmell BJ, Hallberg MP, Longmire EK, Buskey EJ (2015) Simultaneous measurement of 3D zooplankton trajectories and surrounding fluid velocity field in complex flows. J Exp Biol 218:3534–3540CrossRefGoogle Scholar
  4. Bednaršek N, Tarling GA, Bakker DCE, Fielding S, Jones EM, Venables HJ, Ward P, Kuzirian A, Lézé B, Feely RA, Murphy EJ (2012) Extensive dissolution of live pteropods in the Southern Ocean. Nat Geosci 5:881–885CrossRefGoogle Scholar
  5. Casey TA, Sakakibara J, Thoroddsen ST (2013) Scanning tomographic particle image velocimetry applied to a turbulent jet. Phys Fluids 25:025102CrossRefGoogle Scholar
  6. Catton KB, Webster DR, Brown J, Yen J (2007) Quantitative analysis of tethered and free-swimming copepodid flow fields. J Exp Biol 210:299–310CrossRefGoogle Scholar
  7. Catton KB, Webster DR, Kawaguchi S, Yen J (2011) The hydrodynamic disturbances of two species of krill: implications for aggregation structure. J Exp Biol 214:1845–1856CrossRefGoogle Scholar
  8. Chang Y, Yen J (2012) Swimming in the intermediate Reynolds range: kinematics of the pteropod Limacina helicina. Integr Comp Biol 52:597–615CrossRefGoogle Scholar
  9. Cheng JY, DeMont ME (1996) Hydrodynamics of scallop locomotion: unsteady fluid forces on clapping shells. J Fluid Mech 317:73–90CrossRefzbMATHGoogle Scholar
  10. Childress S, Dudley R (2004) Transition from ciliary to flapping mode in a swimming mollusc: flapping flight as a bifurcation in Re ω. J Fluid Mech 498:257–288MathSciNetCrossRefzbMATHGoogle Scholar
  11. Comeau S, Alliouane S, Gattuso J-P (2012) Effects of ocean acidification on overwintering juvenile Arctic pteropods Limacina helicina. Mar Ecol Prog Ser 456:279–284CrossRefGoogle Scholar
  12. Dabiri JO, Colin SP, Costello JH (2006) Fast-swimming hydromedusae exploit velar kinematics to form an optimal vortex wake. J Exp Biol 209:2025–2033CrossRefGoogle Scholar
  13. Elsinga GE, Scarano F, Wieneke B, van Oudheusden BW (2006) Tomographic particle image velocimetry. Exp Fluids 41:933–947CrossRefGoogle Scholar
  14. Flammang BE, Lauder GV, Troolin DR, Strand TE (2011) Volumetric imaging of fish locomotion. Biol Lett 7:695–698CrossRefGoogle Scholar
  15. Fuchiwaki M, Kuroki T, Tanaka K, Tababa T (2013) Dynamic behavior of the vortex ring formed on a butterfly wing. Exp Fluids 54:1450CrossRefGoogle Scholar
  16. Gattuso J-P, Hansson L (2011) Ocean acidification: Background and history. In: Gattuso J-P, Hansson L (eds) Ocean acidification. Oxford University Press, New York, pp 1–20Google Scholar
  17. Gonzalez RC, Woods RE (2002) Digital image processing, 2nd edn. Prentice-Hall, New JerseyGoogle Scholar
  18. Hedrick TL (2008) Software techniques for two- and three-dimensional kinematic measurements of biological and biomimetic systems. Bioinspir Biomim 3:034001CrossRefGoogle Scholar
  19. Howes EL, Bednaršek N, Büdenbender J, Comeau S, Doubleday A, Gallager SM, Hopcroft RR, Lischka Maas AE, Bijma J, Gattuso JP (2014) Sink and swim: a status review of thecosome pteropod culture techniques. J Plankton Res 36:299–315CrossRefGoogle Scholar
  20. Izraelevitz JS, Triantafyllou MS (2014) Adding in-line motion and model-based optimization offers exceptional force control authority in flapping foils. J Fluid Mech 742:5–34CrossRefGoogle Scholar
  21. Kida S, Takaoka M (1994) Vortex reconnection. Annu Rev Fluid Mech 26:169–189MathSciNetCrossRefzbMATHGoogle Scholar
  22. Langley KR, Hardester E, Thomson SL, Truscott TT (2014) Three-dimensional flow measurements on flapping wings using synthetic aperture PIV. Exp Fluids 55:1831CrossRefGoogle Scholar
  23. Lauder GV (2015) Fish locomotion: recent advances and new directions. Annu Rev Mar Sci 7:521–545CrossRefGoogle Scholar
  24. Lauga E, Powers TR (2009) The hydrodynamics of swimming microorganisms. Rep Prog Phys 72:096601MathSciNetCrossRefGoogle Scholar
  25. Lehmann F-O, Pick S (2007) The aerodynamic benefit of wing-wing interaction depends on stroke trajectory in flapping insect wings. J Exp Biol 210:1362–1377CrossRefGoogle Scholar
  26. Lighthill MJ (1973) On the Weis-Fogh mechanism of lift generation. J Fluid Mech 60:1–17CrossRefzbMATHGoogle Scholar
  27. Malkiel E, Sheng J, Katz J, Strickler JR (2003) The three-dimensional flow field generated by a feeding calanoid copepod measured using digital holography. J Exp Biol 206:3657–3666CrossRefGoogle Scholar
  28. Manno C, Morata N, Primicerio R (2012) Limacina retroversa’s response to combined effects of ocean acidification and sea water freshening. Estuar Coast Shelf Sci 113:163–171CrossRefGoogle Scholar
  29. Mendelson L, Techet AH (2015) Quantitative wake analysis of a freely swimming fish using 3D synthetic aperture PIV. Exp Fluids 56:135CrossRefGoogle Scholar
  30. Murphy DW, Webster DR, Yen J (2012) A high-speed tomographic PIV system for measuring zooplankton flow. Limnol Oceanogr Methods 10:1096–1112CrossRefGoogle Scholar
  31. Murphy DW, Webster DR, Yen J (2013) The hydrodynamics of hovering in Antarctic krill. Limnol Oceanogr Fluids Environ 3:240–255CrossRefGoogle Scholar
  32. Murphy DW, Adhikari D, Webster DR, Yen J (2016) Underwater flight by the planktonic sea butterfly. J Exp Biol 216:535–543CrossRefGoogle Scholar
  33. Orr JC, Fabry VJ, Aumont O, Bopp L, Doney SC, Feely RA, Gnanadesikan A, Gruber N, Ishida A, Joos F, Key RM, Lindsay K, Maier-Reimer E, Matear R, Mouchet A, Najjar RG, Plattner GK, Rodgers KB, Sabine CL, Sarmiento JL, Schlitzer R, Slater RD, Totterdell IJ, Weirig MF, Yamanaka Y, Yool A (2005) Anthropogenic ocean acidification over the twenty-first century and its impact on calcifying organisms. Nature 437:681–686CrossRefGoogle Scholar
  34. Saffman PG (1990) A model of vortex reconnection. J Fluid Mech 212:395–402MathSciNetCrossRefzbMATHGoogle Scholar
  35. Scarano F, Poelma C (2009) Three-dimensional vorticity patterns of cylinder wakes. Exp Fluids 47:69–83CrossRefGoogle Scholar
  36. Sutherland KR, Madin LP (2010) Comparative jet wake structure and swimming performance of salps. J Exp Biol 213:2967–2975CrossRefGoogle Scholar
  37. Wang ZJ (2005) Dissecting insect flight. Annu Rev Fluid Mech 37:183–210MathSciNetCrossRefzbMATHGoogle Scholar
  38. Weis-Fogh T (1973) Quick estimates of flight fitness in hovering animals, including novel mechanisms for lift production. J Exp Biol 59:169–230Google Scholar
  39. Wieneke B (2008) Volume self-calibration for 3D particle image velocimetry. Exp Fluids 45:549–556CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Deepak Adhikari
    • 1
  • Donald R. Webster
    • 1
  • Jeannette Yen
    • 2
  1. 1.School of Civil and Environmental EngineeringGeorgia Institute of TechnologyAtlantaUSA
  2. 2.School of BiologyGeorgia Institute of TechnologyAtlantaUSA

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