FN Archimer Export Format
PT J
TI Symbolic Analysis of Plankton Swimming Trajectories: Case Study of Strobilidium sp. (Protista) Helical Walking under Various Food Conditions
BT 
AF VANDROMME, Pieter
   Schmitt, François G.
   Souissi, Sami
   Buskey, Edward J.
   Strickler, J. Rudi
   Wu, Cheng-Han
   Hwang, Jiang-Shiou
AS 1:1,2,3,4;2:1,2,3;3:1,2,3;4:5;5:6;6:7;7:7;
FF 1:PDG-ODE-DYNECO-PELAGOS;2:;3:;4:;5:;6:;7:;
C1 Univ Lille Nord de France, France
   USTL, LOG, F-62930 Wimereux, France
   CNRS, UMR 8187, F-62930 Wimereux, France
   Univ Paris 6, UMR 7093 LOV, Observatoire Océanologique, BP 28, 06234 Villefranche-sur-mer, France
   University of Texas at Austin, Marine Science Institute, 750 Channel View Drive, Port Aransas, TX 78373-5015 USA
   Great Lakes WATER Institute, University of Wisconsin - Milwaukee, 600 E. Greenfield Ave., Milwaukee, WI 53204-2944 USA
   Institute of Marine Biology, National Taiwan Ocean University, Keelung 202, Taiwan
C2 Univ Lille Nord de France, France
   USTL, LOG, F-62930 Wimereux, France
   CNRS, UMR 8187, F-62930 Wimereux, France
   Univ Paris 6, UMR 7093 LOV, Observatoire Océanologique, BP 28, 06234 Villefranche-sur-mer, France
   University of Texas at Austin, Marine Science Institute, 750 Channel View Drive, Port Aransas, TX 78373-5015 USA
   Great Lakes WATER Institute, University of Wisconsin - Milwaukee, 600 E. Greenfield Ave., Milwaukee, WI 53204-2944 USA
   Institute of Marine Biology, National Taiwan Ocean University, Keelung 202, Taiwan
SI BREST
SE PDG-ODE-DYNECO-PELAGOS
IF 1.046
TC 0
UR https://archimer.ifremer.fr/doc/00070/18171/15730.pdf
LA English
DT Article
DE ;Protista;Plankton behavior;Swimming states;Symbolic dynamics;Simulation
AB The swimming behavior of the ciliate Strobilidium sp. was recorded using cinematographic techniques. A density of 20 ciliates/ml was used under 4 experimental food conditions: 121, 625, 3025, and 15,125 cells/ml of the dinoflagellate Gymnodinium sp. In total, 100 trajectories per experiment were recorded and analyzed. We classified this ciliate’s swimming trajectories into categories we called “helix”, “non-helix”, and “break”. These swimming states were identified using automated recognition of helices, based on values of swimming trajectory angles. We performed a symbolic analysis of the succession of swimming states which enabled discrimination between food concentration experiments, and provided a more-complete characterization of the swimming behavior. We found that helical swimming patterns first increased with food concentration then decreased with a corresponding increase in the numbers of breaks. Non-helical motions were related to high food concentrations. We further used these results to simulate a ciliate’s trajectories using a symbolic dynamic model to generate a sequence series. Helices were reconstructed using a model with 2 inputs: amplitude and period. This study shows that a methodology developed to describe copepod behavior can also be applied to characterize and simulate ciliate helical and non-helical swimming dynamics.
PY 2010
PD AUG
SO Zoological Studies
SN 1021-5506
PU Biodiversity Research Center, Academia Sinica
VL 49
IS 3
BP 289
EP 303
ID 18171
ER

EF