Whirligigs, Simulations, and Individual Differences

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Presentation transcript:

Whirligigs, Simulations, and Individual Differences Dr. W.L. Romey State University of New York at Potsdam

Other Collaborators: Lesley Morrell, Penny Watt Acknowledgements NSF Emily Galbraith, Abi Wallace, Sarah Waybright, Will Donelan, Sandy LaBuda, Adrienne Barnard, Matan Shelomi Other Collaborators: Lesley Morrell, Penny Watt

Group Swim Goal? Limits? Techniques? Goal: very different than swimming in a pool with a line on bottom. be as fast as possible to the end. Don’t get hit by group members, shark attack in open water? Limits: cant see very far, where is front of group?, edge?, hard to see where your target Techniques: keep a space around you, stay behind someone to take advantage of vorticies, stay with group so don’t have to look forward. easiest to find someone swimming about the same pace as you and just keep an eye on them, you correct each others direction and average the speed.. Want to avoid zigzaging and wasting energy. Goal? Limits? Techniques?

Three main themes Non-uniform environment Non-uniform agents Variance in selective forces across group Non-uniform agents Hunger Defense Sex Internal Rules for position selection Optimize based on above

What is with the Bugs? They are similar to fish in many ways No-hierarchy, fluid, selection pressures They are a “better fish” 2-D Marking Instinct vs. learned behaviors

Choice of Study Organism: Whirligig Beetle (Gyrinidae: Dineutes)

Non Uniform Environments Food More at the edge? Predation More attacks at edge, front, back? Drafting Easier to swim at back?

Foraging Selection Curves: Model Data (Morrell and Romey, 2008)

Predation Selection Curves: Model Data (Morrell and Romey, 2008)

3-D predation on 2-D prey groups Romey, Walston, and Watt 2008. Behavioral Ecology

Bass Data Fish Attacks Center  Edge

Optimization Rules Simultaneous or temporal Multiplicative Weights vary?

Foraging * Predation = AverageFitness Center Edge

Foraging + Predator Avoidance ? + Drafting But, for a group moving through water: Foraging + Predator Avoidance ? + Drafting AverageFitness Front Back

Red = center Morrell and Romey, 2008, Behavioral Ecology

Whirligig Studies Systematically vary environment and state variables and determine group position (optimum solution?) Drafting, Predator Hunger, Sex, Size

Influence of Hunger on Position? Position and NND Romey, 1996, Behavioral Ecology and Sociobiology

Males and Females have differences which might influence position preferences Energy Needs Size Muscle/Fat metabolism Foraging time available Predator Avoidance Size Speed Defenses

Influence of Sex and Hunger on Position? Results 2-minutes after simulated attack Romey and Wallace, 2007, Behavioral Ecology

Influence of: Drafting, Predator Type, Sex

Optimality Predictions: Where do males and females go?

Speed * gender interaction Satiation also significant 1 cm/s 10 cm/s Speed * gender interaction Females to back in slow water (1 cm/s) after bird attack Satiation also significant hungry to the front Romey and Galbraith (2008) Behavioral Ecology

Influence of predator type: (females (white) in back if bird predator, females in front if fish predator) Romey and LaBuda, in revision

Movement simulation models that incorporate Individual variation Mixed groups move more slowly and turn more than pure groups Stochasticity is Not Important Leadership: how many to turn a group Group Size may not be that important (Romey, 1996, Ecological Modelling)

Summary of Previous Research Non Uniform Environment Non Uniform Agents Optimization Rules and Position Preferences

Future: Whirligigs  Engineering Systems? Movement rules for collision avoidance? flash expansion needs to be carefully analyzed How many neighbors to pay attention too? What rules of thumb suffice to lead individuals to Avoid predators Go to the inside/outside, front/back Variance among individual can be useful in determining group structure Speed, turning angle,

Engineering Systems  Whirligigs Whirligig type robots to do controlled experiments to test out what rules they follow What else?

Questions and Ideas? Contact : Bill Romey romeywl@potsdam.edu