Spatio-temporal hydrodynamic signal fields were quantified for ambush-feeding Oithona plumifera females sensing motile Strobilidium ciliates. First, videotaped Oithona-ciliate encounters were image-analyzed to retrieve ciliate trajectories, O. plumifera attack kinematics and reaction distances to the ciliates. Second, using computational fluid dynamics (CFD), flow disturbances created by swimming ciliates were examined for 5 common ciliary forcing schemes. Third, using the CFD results and measured ciliate trajectories as inputs, a hydrodynamic model was developed to calculate ciliate-generated hydrodynamic signal patterns for observed encounters. Wide variance was found in measured reaction distances. Good correlations existed between measured predator attack kinematics and measured pre-attack prey locations. Moreover, data analysis showed that O. plumifera preferred small attack angles, presumably to enhance capture success. From hydrodynamic modeling, several distinct spatio-temporal hydrodynamic signal patterns were identified, and estimated hydrodynamic signal strengths immediately prior to attack were all above a minimum required signal level but differed substantially in magnitude. These results support the notion that by monitoring and recognizing the spatio-temporal pattern of ciliate-created flow disturbances, O. plumifera can perceive and project the ciliate's instantaneous location and velocity, and hence precisely time its attack when the ciliate reaches a location where it can most easily be captured. Instead of reacting to a constant signal strength, O. plumifera females adapt their capture behaviors to perceived signal patterns. CFD simulations also revealed species-specific flow patterns and spatial decays in hydrodynamic disturbances created by swimming protists. The predator may use this species-specific information to distinguish among prey species.KEY WORDS: Oithona plumifera · Ciliate · Predator-prey interaction · Hydrodynamic signal perception · Spatio-temporal pattern · Hydrodynamic modeling · Capture difficulty
Resale or republication not permitted without written consent of the publisherMar Ecol Prog Ser 373: [37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52] 2008 (1) the distance between the predator and the prey may vary with time; (2) the prey may swim at changing speed and/or direction (e.g. swimming along a curved spiral trajectory; Svensen & Kiørboe 2000, Broglio et al. 2001; (3) the prey may switch its swimming behavior (e.g. Kerfoot 1978, Fields & Yen 1997; and (4) the predator may also switch its swimming behavior (e.g. Bundy et al. 1998). Thus, the hydrodynamic signal field should consist of certain spatio-temporal patterns perceived by the predatory copepod. We hypothesize that by monitoring the spatially and temporally varied hydrodynamic signal field (and recognizing the signal patterns), the predatory copepod is able to project the trajectory as well as the instantaneous swimming velocity of the prey, and then to respond accordingly (see also Zare...