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Abstract

Statistical Analysis of Fluctuating Variables on the Stability of Predator Prey Relationships Lenny Li Computer Systems Lab 2009-2010 Period 4. Simple predation prey simulations greatly simplify the problem by assuming multiple variables to be a constant value, and thus are not

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Abstract

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  1. Statistical Analysis of Fluctuating Variables on the Stability of Predator Prey RelationshipsLenny LiComputer Systems Lab 2009-2010Period 4

  2. Simple predation prey simulations greatly simplify the problem by assuming multiple variables to be a constant value, and thus are not very good predictors of a natural environment. In reality, a system will have multiple possible variables such as the size of the habitat, initial population sizes of both predator and prey, reproduction rates, the probability of a predator succeeding in killing a prey, the energy gained from either consuming a prey or consuming vegetation, and much more. This two part project will first compare a simulation that considers organism behavior and intelligence with one that is sim- ple and random. It will then statistically analyze the effects, specifi- cally the difference in stability of the simulation, of incrementing such changes listed above in a two species system. Abstract

  3. Predator Prey Simple vs. Behavior vs. Intelligence Strong Prey Multiple Regression to Extrapolate Effectiveness of Wildlife Preservations Introduction

  4. Permanent vs Temporary Traits The Allee Effect Predator Food Choice Lotka Volterra Model Information Background http://upload.wikimedia.org/wikipedia/commons/7/70/Lotka_Volterra_Dynamique.gif

  5. -NxN grid world -Organisms have decimal coordinates -Growing vegetation in random grids -Green Dots are food for Prey Development - Patches

  6. -Black Dot -Target -Heuristic to Move -Reproduce Probability Development - Predator http://www.1adventure.com/archives/images/frank-red-fox-colorado-lowrescrop.jpg .

  7. -Blue Dot -Hunters -Heuristic to Move -Reproduce Probability Development - Prey http://svpow.files.wordpress.com/2009/05/wild-rabbit-41946.jpg

  8. Tests – Experiment 1 Basic Behavior Simple Model

  9. - 30 trials -Predator Population from 50 to 100 -Prey Population from 100 to 200 -Number of grids from 400 to 1600 -Predator Reproduction from 0.02 to 0.12 -Prey Reproduction from 0.05 to 0.15 -Kill Rate from 0.5 to 1.0 -Energy Per Kill from 5 to 15 -Energy Per Patch from 3 to 6 Tests - Experiment 2 (todo)

  10. Andrew, Morozov, Petrovskii Sergei, and Li Bai-Lian. "Bifurcations and the Chaos in a Predator-Prey System with the Allee Effect." The Royal Society 11 Feb. 2004: 1407-1414. The Royal Society. Web. 23 Oct. 2009. Barney, Luttbeg, and Schmitz J. Oswald. "Predator and Prey Models with Flexible Individual Behavior and Imperfect Information." The American Naturalist 155.5 (2000): 669-683. JSTOR. Web. 14 Jan. 2010. Billard. "On Lotka-Volterra Predator Prey Models." Jstor: 375-381. Jstor. Web. 23 Oct. 2009. Griffiths, David. "Prey Availability and the Food of Predators." Ecology Summer 1975: 1209-1214. JSTOR. Web. 23 Oct. 2009. Oshanin, G., et al. "Survival of an Evasive Prey." Proceedings of the NationalAcademy of Sciences of the United States of America 106.33 (2009): 1-7. arXiv. Web. 14 Jan. 2010. Tu, Xiaoyuan, and Demetri Terzopoulos. "Artificial Fishes: Physics, Locomotion,Perception, Behavior." Association for Computing Machinery. N.p., July1994. Web. 14 Jan. 2010. Works Cited

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