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Facilitation in Population Dynamics

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Facilitation in Population Dynamics

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This presentation is the result of a student group project, during the Southern-Summer School on Mathematical-Biology, hold in São Paulo, January 2012, http://www.ictp-saifr.org/mathbio

This presentation is the result of a student group project, during the Southern-Summer School on Mathematical-Biology, hold in São Paulo, January 2012, http://www.ictp-saifr.org/mathbio

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Facilitation in Population Dynamics

  1. 1. Facilitation Systems Maria Luisa Jorge Marina Cenamo Salles Raquel A. F. Neves Sabastian Krieger Tomás Gallo Aquino Victoria Romeo Aznar Southern Summer Mathematical Biology IFT – UNESP – São Paulo January 2012
  2. 2. Presentation Outline • Facilitation: definition and conceptual models • Facilitation vs. competition in a gradient of environmental stress • The simplest model • A real case our simple model • Results of the model • Other possible (and more complicated) scenarios
  3. 3. Facilitation Species that positively affects another species, directly or indirectly.
  4. 4. Bruno et al. TREE
  5. 5. Bruno et al., 2003
  6. 6. Bruno et al., 2003
  7. 7. S - - -- A B -
  8. 8. Salt Marshes Physical conditions - Waterlogged soils - High soil salinities
  9. 9. Juncus gerardi More tolerant to high salinities acts on amelioration of physical conditions: shades the soil – limits surface evaporation and accumulation of soil salts.
  10. 10. Iva frutescens Relatively intolerant to high soil salinities and waterlogged soil conditions
  11. 11. S - - -- B Juncus girardi - Iva frutescens
  12. 12. Bertness & Hacker, 1994
  13. 13. - A - B Change of Exponential Saturation Competition Effect of species A term of or logistic effect of salinity on (facilitator) population term of species B species A abundance growth population (facilitated) (facilitator) over time growth on species A (facilitator)
  14. 14. - - B A Change of Exponential Saturation Competition Effect of species B term of or logistic effect of salinity on (facilitated population term of species A species B abundance growth for population (facilitator) (facilitated) over time species B growth for on species species B B (facilitated)
  15. 15. - A B Final Initial Effect of salinity salinity abundance of species A on salinity
  16. 16. Reducing the number of parameters. Nondimensionalization dA A − A =r A A1− −b AB B−a A S 0 e  dt KA dA' − A ' =A ' 1−A '−c AB B '− F A e  dt dB B − A =r B B1− −b BA A−a B S 0 e  dt KB dB ' − A' =rB ' 1−B ' −c BA A '− F B e  dt
  17. 17. Looking for fixed points Condition : dA  A f , B f =0 A=0∨B=1− A− F A e − A / c AB − A f Don't dt Af are that − A f − e =0 have dB B=0∨ B=1−c BA A− F B e − A dt  A f , B f =0 analytical solution !! =1−c AB , =1−c AB c BA , = F A −F B c AB − A f Ok, we look ... 1−' A f =' e  ' 1  ' 0 ∃ one A f ≠0 else don ' t ∃ A f ≠0 We can have: No solution One solution
  18. 18. How do fixed points varie with the parameters?  ' 1  ' 0 ∃ one A f ≠0 − A 0'   e f ∃ two A f ≠0 else don' t ∃ A f ≠0 We can have: No solution Two solutions
  19. 19. Some critical cases dA dB A=A f =0  =0  = B 1− B−S B =0 B f =0, B f =1−S B 0 dt dt S B 1 ∃ B f =0 is instable two fixed B f =1−S B is stable points If B doesn't suffer too much survives stress, and doesn't suffer competition S B 1 ∃ B f =0 is stable one fixed B f =1−S B don ' t ∃ points Although B doesn't have dies competition, the stress is hard
  20. 20. Some critical cases dB dA − A B=B f =0  =0  = A1− A−S A e =0 A f =0 and some A f 0 dt dt S A 1 ∃ A f =0 is instable ∃ A f ∈0,1 is stable If A doesn't suffer too much survives stress, and doesn't suffer competition A f =0 is stable S A 1 ∃ A f 0 don ' t ∃ if  is small ∃ two A f ∈0,1 if  is large. One stable , the other instable. dies With a high self-facilitation, A can survive if it has already large numbers survives
  21. 21. Species A Species B (with facilitation) Control for species B Salinity Temporal variation of both species and salinity when, at equilibrium, both co-exist.
  22. 22. Species A Species B (with facilitation) Control for species B Salinity Temporal variation of both species and salinity when, at equilibrium, both co-exist.
  23. 23. Species A Species B (with facilitation) Control for species B Salinity Temporal variation of both species and salinity when, at equilibrium, species B goes extinct.
  24. 24. Species A Species B (with facilitation) Control for species B Variation of abundance of both species with respect to salinity.
  25. 25. ¿ Conditions of facilitation (treat - control > 0), competition (treat - control < 0) and no difference (treat - control = 0) with respect to a gradient of salinity and competition of B on A. Beta ab: 0.68
  26. 26. Conditions of facilitation (treat - control > 0), competition (treat - control < 0) and no difference (treat - control = 0) with respect to a gradient of salinity and competition of A on B. Beta ba: 1.2
  27. 27. Conditions of facilitation (treat - control < 0), competition (treat - control > 0) and no difference (treat - control = 0) with respect to a gradient of competition of A-B and B-A.
  28. 28. Real world example sustaining our model! Sp. A Stress level 0 Stress level 1 Stress level 2 Without B 900 300 300 With B 500 700 600 Sp. B Competition Facilitation Facilitation ( - -) (+ +) (+ +) Without A 750 200 150,2 Bertness & Hacker, 1994 With A 125 350 300
  29. 29. Other scenarios… Auto- S facilitation of the facilitated - - Why does it -- - matter biologically? A B -
  30. 30. Forest Clearing
  31. 31. S - - --- A B -
  32. 32. This is what we had in the previous model: There are clear stable points
  33. 33. And this is what I ended up with: UNTRUE!
  34. 34. Another snapshot time: Population at time t = 4000
  35. 35. Population at time 400 Competitive exclusion
  36. 36. Plain competition: A is excluded
  37. 37. Population at time 400 Competitive exclusion Competition/ facilitation
  38. 38. B needs A, both are stable
  39. 39. Population at time 400 Competitive exclusion Successive Competition/ oscilations facilitation Ecological succession!
  40. 40. Looking for the bifurcation T = 400 T = 4000
  41. 41. Converges fast to stability Oscilating at very low frequency and high amplitude

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