Optimal Foraging Strategies Trever, Costas and Bill “International team of mystery” Plants Virtuatum computata. Simulate the movement of insects on a ring of plants with varying quality Investigate the movement rules that maximize energy intake ZZZZZZZZZZZZ
Simulation Code Construction Plant Quality Qi Energy Ei Probability of not moving Pi Pi=Ei/(Ei+Eh) Through parameter Eh, the movement behavior of the insects can be changed The probabilities of moving left or right are Pil and Pir
Simulation Code Construction Plant Quality Qi Energy Ei Probability of not moving Pi Pi=Ei/(Ei+Eh) Through parameter Eh, the movement behavior of the insects can be changed Eh=0.1 Eh=1 Eh= Pi=Ei/(Ei+Eh) Through parameter Eh, the movement behavior of the insects can be changed The probabilities of moving left or right are Pil and Pir
Simulation Code Construction Plant Quality Qi Energy Ei Probability of not moving Pi Eh~0 Insects don’t move except when plant quality is extremely low Eh>1 Insects move continuously regardless of plant quality Eh=0.1 Eh=1 Eh=0.0001
Simulation Case#1-FIXED QUALITY Plant Position Plant Quality Eh= Eh=0. 1 Eh=1 Insects are uniformly distributed among plants at t=0
Simulation Case#1-FIXED QUALITY Plant Position Plant Quality Eh= Eh=0. 1 Eh=1
Simulation Case#1-FIXED QUALITY Plant Position Plant Quality Eh Average Energy Intake Optimal strategy is to NOT move unless plant the quality is very bad
Models for FIXED QUALITY Plants If we consider space as discrete but time as continuous, then movement can be modeled as m coupled ODE’s, where m is number of plants Equation for a single plant: where Since we are interested in equilibrium solutions, we set the system of ODE’s to zero.
Simulation Case#1-FIXED QUALITY Plant Position Plant Quality Eh Average Energy Intake Optimal strategy is to NOT move unless plant the quality is very bad Model Prediction Simulation Prediction
Simulation Case#2-FIXED QUALITY Plant Position Plant Quality Eh Average Energy Intake Optimal strategy is to NOT move unless plant the quality is very bad Model Prediction Simulation Prediction
Simulation Case#3-FIXED QUALITY Plant Position Plant Quality Eh Average Energy Intake Optimal strategy is to NOT move unless plant the quality is very bad Model Predictions For 100 random quality distributions Quality Generated Randomly
SUMMARY SCENARIO 1) Plant quality is fixed; Energy intake is density independent 2) Plant quality is fixed; Energy intake is density dependent 3) Plant quality is dynamic; Energy intake is density independent CONCLUSION 1)Optimal strategy: DON’T MOVE unless plant the quality is very bad 2) ? 3) ?
Simulation Case#1-FIXED QUALITY Plant Position Plant Quality Energy Intake rate is density dependent Ni Density Dependence
Simulation Case#1-FIXED QUALITY Plant Position Plant Quality Eh Average Energy Intake Optimal strategy is to NOT move unless plant the quality is very bad r=0 r=0.01 r=0.02 Energy Intake rate is density dependent
SUMMARY SCENARIO 1) Plant quality is fixed; Energy intake is density independent 2) Plant quality is fixed; Energy intake is density dependent 3) Plant quality is dynamic; Energy intake is density independent CONCLUSION 1)Optimal strategy: DON’T MOVE unless plant the quality is very bad 2)Optimal strategy: DON’T MOVE unless plant the quality is very bad 3) ?
Simulation Case#1-DYNAMIC QUALITY Plant Position Plant Quality Insects are uniformly distributed among plants at t=0 Quality Update: At every iteration the simulation encounters standardized constant growth and consumption of the plant by the present insects. INITIAL QUALITY
Simulation Case#1-DYNAMIC QUALITY Plant Position Plant Quality Eh= Eh=0. 1 Eh=1 Insects are uniformly distributed among plants at t=0 INITIAL QUALITY
Simulation Case#1-DYNAMIC QUALITY Plant Position Plant Quality Eh= Eh=0. 1 Eh=1 Quality Plot INITIAL QUALITY Quality Plot
Simulation Case#1-DYNAMIC QUALITY Plant Position Plant Quality Eh Average Energy Intake Simulation Results Optimal strategy is INTERMEDIATE between no movement and continuous movement
SUMMARY SCENARIO 1) Plant quality is fixed; Energy intake is density independent 2) Plant quality is fixed; Energy intake is density dependent 3) Plant quality is dynamic; Energy intake is density independent CONCLUSION 1)Optimal strategy: DON’T MOVE unless plant the quality is very bad 2)Optimal strategy: DON’T MOVE unless plant the quality is very bad 3) Optimal strategy: INTERMEDIATE between not moving and continuous movement
Optimal Foraging Strategies Trever, Costas and Bill “International team of mystery” “Oh, Behave…”