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Lecture 04 - Logistic growth

Lecture 04 - Logistic growth

Richard Chandler

January 22, 2020
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  1. Topics The equation for logistic growth in discrete time The

    definition of density-dependent growth
  2. Topics The equation for logistic growth in discrete time The

    definition of density-dependent growth Basic properties of the model
  3. Topics The equation for logistic growth in discrete time The

    definition of density-dependent growth Basic properties of the model Strange behavior of the (discrete time) model, such as damped oscillations and chaos
  4. From Geometric to Logistic Growth Geometric growth Nt+1 = Nt

    + Nt r Background Logistic growth Summary 3 / 12
  5. From Geometric to Logistic Growth Geometric growth Nt+1 = Nt

    + Nt r Logistic growth Nt+1 = Nt + Nt rmax 1 − Nt K where • rmax is the growth rate when Nt is close to 0. • K is the carrying capacity Background Logistic growth Summary 3 / 12
  6. Density-dependent growth Logistic growth is an example of density-dependent growth

    Definition: Population growth rate is affected by population size (N). Background Logistic growth Summary 4 / 12
  7. Density-dependent growth Logistic growth is an example of density-dependent growth

    Definition: Population growth rate is affected by population size (N). Implications: Resources are limited and there is a carrying capacity. Background Logistic growth Summary 4 / 12
  8. Graphical depiction 0 20 40 60 80 100 0 20

    40 60 80 100 Time (t) Population size (N) Geometric growth Background Logistic growth Summary 5 / 12
  9. Graphical depiction 0 20 40 60 80 100 0 20

    40 60 80 100 Time (t) Population size (N) Geometric growth Logistic growth Background Logistic growth Summary 5 / 12
  10. Growth rate (λt = Nt+1 /Nt) 0 20 40 60

    80 100 0 10 20 30 40 50 60 Time (t) Population size (N) Inflection point (K/2) 0 20 40 60 80 100 1.00 1.02 1.04 1.06 1.08 Time (t) Growth rate: (λ=Nt+1 Nt ) Background Logistic growth Summary 6 / 12
  11. Growth (∆t = Nt+1 − Nt) 0 20 40 60

    80 100 0 10 20 30 40 50 60 Time (t) Population size (N) Inflection point (K/2) 0 20 40 60 80 100 0.0 0.2 0.4 0.6 0.8 1.0 1.2 Time (t) Growth: (∆N =Nt+1 − Nt ) Background Logistic growth Summary 7 / 12
  12. Growth (∆t = Nt+1 − Nt) as a function of

    N 10 20 30 40 50 0.0 0.2 0.4 0.6 0.8 1.0 1.2 Population size (N) Growth: (∆N =Nt+1 − Nt ) Inflection point (K/2) Background Logistic growth Summary 8 / 12
  13. What happens when we change rmax? 0 20 40 60

    80 100 0 20 40 60 80 100 Time (t) Population size (N) rmax=0.1 Background Logistic growth Summary 9 / 12
  14. What happens when we change rmax? 0 20 40 60

    80 100 0 20 40 60 80 100 Time (t) Population size (N) rmax=0.1 rmax=0.5 Background Logistic growth Summary 9 / 12
  15. What happens when we change rmax? 0 20 40 60

    80 100 0 20 40 60 80 100 Damped oscillation Time (t) Population size (N) rmax=0.1 rmax=0.5 rmax=2.0 Background Logistic growth Summary 9 / 12
  16. What happens when we change rmax? 0 20 40 60

    80 100 0 20 40 60 80 100 Chaos Time (t) Population size (N) rmax=0.1 rmax=0.5 rmax=2.0 rmax=3.0 Background Logistic growth Summary 9 / 12
  17. Definitions Overcompensation Density-dependent response in which populations over- or under-shoot

    carrying capacity rather than approach it gradually Background Logistic growth Summary 10 / 12
  18. Definitions Overcompensation Density-dependent response in which populations over- or under-shoot

    carrying capacity rather than approach it gradually Chaos Highly variable dynamics that are extremely sensitive to small changes in parameters Background Logistic growth Summary 10 / 12
  19. Assumptions of basic model • K and rmax are constant

    • No sex or age effects or other sources of individual heterogeneity • No time lags • No stochasticity Background Logistic growth Summary 11 / 12
  20. Summary and assignment Summary • Logistic growth is a form

    of density-dependent growth Background Logistic growth Summary 12 / 12
  21. Summary and assignment Summary • Logistic growth is a form

    of density-dependent growth • Growth rate (λt = Nt+1 /Nt ) declines as N approaches K Background Logistic growth Summary 12 / 12
  22. Summary and assignment Summary • Logistic growth is a form

    of density-dependent growth • Growth rate (λt = Nt+1 /Nt ) declines as N approaches K • Growth (∆t = Nt+1 − Nt ) peaks at K/2 (the inflection point) Background Logistic growth Summary 12 / 12
  23. Summary and assignment Summary • Logistic growth is a form

    of density-dependent growth • Growth rate (λt = Nt+1 /Nt ) declines as N approaches K • Growth (∆t = Nt+1 − Nt ) peaks at K/2 (the inflection point) • The model isn’t mechanistic in the sense that it doesn’t include birth, mortality, and movement processes. Background Logistic growth Summary 12 / 12
  24. Summary and assignment Summary • Logistic growth is a form

    of density-dependent growth • Growth rate (λt = Nt+1 /Nt ) declines as N approaches K • Growth (∆t = Nt+1 − Nt ) peaks at K/2 (the inflection point) • The model isn’t mechanistic in the sense that it doesn’t include birth, mortality, and movement processes. • But it does allow for complex dynamics that resemble patterns seen in nature. Background Logistic growth Summary 12 / 12
  25. Summary and assignment Summary • Logistic growth is a form

    of density-dependent growth • Growth rate (λt = Nt+1 /Nt ) declines as N approaches K • Growth (∆t = Nt+1 − Nt ) peaks at K/2 (the inflection point) • The model isn’t mechanistic in the sense that it doesn’t include birth, mortality, and movement processes. • But it does allow for complex dynamics that resemble patterns seen in nature. Assignment Read pages 32–36 in Conroy and Carroll Background Logistic growth Summary 12 / 12