Chaos in Easter Island Ecology - PowerPoint PPT Presentation

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Chaos in Easter Island Ecology

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Chaos in Easter Island Ecology J. C. Sprott Department of Physics University of Wisconsin Madison Presented at the Chaos and Complex Systems Seminar – PowerPoint PPT presentation

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Title: Chaos in Easter Island Ecology


1
Chaos in EasterIsland Ecology
  • J. C. Sprott
  • Department of Physics
  • University of Wisconsin Madison
  • Presented at the
  • Chaos and Complex Systems Seminar
  • in Madison, WI
  • on January 25, 2011

2
Easter Island
3
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4
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5
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6
Chilean palm (Jubaea chilensis)
7
Easter Island History
  • 400-1200 AD?
  • First inhabitants arrive from Polynesia
  • 1722
  • Jacob Roggevee (Dutch) visited
  • Population 3000
  • 1770s
  • Next foreign visitors
  • 1860s
  • Peruvian slave traders
  • Catholic missionaries arrive
  • Population 110
  • 1888
  • Annexed by Chilie
  • 2010
  • Popular tourist destination
  • Population 4888

8
Things should be explained as simply as possible,
but not more simply. -Albert Einstein
9
All models are wrong some models are useful.
-George E. P. Box
10
Linear Model
P is the population (number of people) ? is the
growth rate (birth rate death rate)
11
Linear Model
? 1
? -1
12
Logistic Model
13
? 1
Attractor
Repellor
14
Lotka-Volterra Model
Three equilibria
T
Coexisting equilibrium
P
15
? 4.8 ? 2.5 Brander-Taylor Model
16
Point Attractor
? 4.8 ? 2.5 Brander-Taylor Model
17
Basener-Ross Model
Three equilibria
T
P
18
? 25 ? 4.4 Basener-Ross Model
19
? 0.8 ? 0.6 Basener-Ross Model
Requires ? 2? - 1 Structurally unstable
20
Poincaré-Bendixson Theorem
  • In a 2-dimensional dynamical system (i.e. P,T),
    there are only 4 possible dynamics
  • Attract to an equilibrium
  • Cycle periodically
  • Attract to a periodic cycle
  • Increase without bound
  • Trajectories in state space cannot intersect

21
Invasive Species Model
  • Four equilibria
  • P R 0
  • R 0
  • P 0
  • coexistence

22
?P 0.47 ?P 0.1
?R 0.7 ?R 0.3
Chaos
23
Fractal
Return map
24
?P 0.1 ?R 0.3 ?R 0.7
Lyapunov exponent
Period doubling
Bifurcation diagram
25
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26
?P 0.1 ?R 0.3 ?R 0.7
Crisis
Hopf bifurcation
27
Overconsumption
28
Reduce harvesting
29
Eradicate the rats
30
Conclusions
  • Simple models can produce complex and (arguably)
    realistic results.
  • A common route to extinction is a Hopf
    bifurcation, followed by period doubling of a
    limit cycle, followed by increasing chaos.
  • Systems may evolve to a weakly chaotic state
    (edge of chaos).
  • Careful and prompt slight adjustment of a single
    parameter can prevent extinction.

31
References
  • http//sprott.physics.wisc.edu/
    lectures/easter.ppt (this talk)
  • http//sprott.physics.wisc.edu/chaostsa/ (my
    chaos book)
  • sprott_at_physics.wisc.edu (contact me)
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