Abstract
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Statistical Analysis of Fluctuating Variables on the Stability of Predator Prey Relationships Lenny Li Computer Systems Lab 2009-2010 Period 4
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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 - PowerPoint PPT Presentation
Transcript of Abstract
Statistical Analysis of Fluctuating Variables on the Stability of Predator
Prey Relationships
Lenny LiComputer Systems Lab
2009-2010Period 4
Abstract Simple predation prey simulations greatly simplify the problem byassuming multiple variables to be a constant value, and thus are notvery good predictors of a natural environment. In reality, a systemwill 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 energygained from either consuming a prey or consuming vegetation, andmuch more. This two part project will first compare a simulation thatconsiders 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 suchchanges listed above in a two species system.
Introduction
Predator PreySimple vs. Behavior vs. Intelligence
Strong Prey
Multiple Regression to Extrapolate Effectiveness of Wildlife Preservations
Background
Permanent vs Temporary Traits
The Allee Effect
Predator Food Choice
Lotka Volterra Model
Informationhttp://upload.wikimedia.org/wikipedia/commons/7/70/Lotka_Volterra_Dynamique.gif
-NxN grid world
-Organisms have decimal coordinates
-Growing vegetation in random grids
-Green Dots are food for Prey
Development - Patches
Development - Predator
-Black Dot
-Target
-Heuristic to Move
-Reproduce Probability
.http://www.1adventure.com/archives/images/frank-red-fox-colorado-lowrescrop.jpg
Development - Prey
-Blue Dot
-Hunters
-Heuristic to Move
-Reproduce Probability
http://svpow.files.wordpress.com/2009/05/wild-rabbit-41946.jpg
Tests – Experiment 1
Simple Model
Basic Behavior
Tests - Experiment 2 (todo)
- 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
Works Cited
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.
