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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

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

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Page 1: Facilitation in Population Dynamics

Facilitation SystemsMaria Luisa Jorge

Marina Cenamo SallesRaquel A. F. NevesSabastian Krieger

Tomás Gallo AquinoVictoria Romeo Aznar

Southern Summer Mathematical BiologyIFT – UNESP – São Paulo

January 2012

Page 2: Facilitation in Population Dynamics

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

Page 3: Facilitation in Population Dynamics

Species that positively affects another species,

directly or indirectly.

Facilitation

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Bruno et al. TREE 2003

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Bru

no e

t al.,

2003

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Bruno et al., 2003

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A B

S- -

--

-

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Salt Marshes

Physical conditions

- Waterlogged soils

- High soil salinities

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Juncus gerardi

More tolerant to high salinitiesacts on amelioration of physical conditions:

shades the soil – limits surface evaporation and accumulation of soil salts.

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Iva frutescens

Relatively intolerant to high soil salinities and waterlogged soil conditions

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B

S- -

--

-

Juncus girardi Iva frutescens

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Bertness & Hacker, 1994

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-

Change of species A (facilitator) abundance over time

Exponential term of population growth

Saturation or logistic term of population growth

Competition effect of species B (facilitated) on species A (facilitator)

Effect of salinity on species A (facilitator)

-

A B

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-

Change of species B (facilitated abundance over time

Exponential term of population growth for species B

Saturation or logistic term of population growth for species B

Competition effect of species A (facilitator) on species B (facilitated)

Effect of salinity on species B (facilitated)

- BA

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Final salinity

Effect of abundance of species A on salinity

Initial salinity

-

BA

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Reducing the number of parameters. Nondimensionalization

dAdt

=r A A1−AK A

−bAB B−a AS 0 e− A

dBdt

=r B B1−BK B

−bBA A−aB S0 e− A

dA'dt

=A ' 1−A '−cAB B '−F A e− A'

dB 'dt

=rB ' 1−B '−cBA A '−F B e− A'

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Looking for fixed points

dAdt

A f , B f =0

dBdt

A f , B f =0

Condition:

A=0∨B=1−A−F A e− A

/ cAB

B=0∨B=1−cBA A−F Be− A

− A f− e− A f=0

Don't have analytical solution !!

Ok, we look ...

A f are that

1− ' A f= ' e− A f

'0 ∃ one A f≠0else don ' t ∃ A f≠0

'1

We can have:

No solutionOne solution

=1−cAB , =1−c AB cBA , =F A−F B cAB

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How do fixed points varie with the parameters?

'1

'0 ∃ one A f≠0

0 ' e− A f ∃ two A f≠0

else don' t ∃ A f≠0

We can have:

No solutionTwo solutions

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Some critical cases

A=A f=0dAdt

=0dBdt

= B 1−B−S B=0 B f=0, B f=1−S B0

S B1 ∃ two fixed points

B f=0 is instableB f=1−S B is stable

If B doesn't suffer too much stress, and doesn't suffer competition

survives

S B1 ∃ one fixed points

B f=0 is stableB f=1−S B don ' t ∃

Although B doesn't have competition, the stress is hard

dies

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Some critical cases

B=B f=0dBdt

=0dAdt

=A1−A−S A e− A

=0 A f=0

S A1 ∃ A f=0 is instable∃ A f ∈0,1 is stable

If A doesn't suffer too much stress, and doesn't suffer competition

survives

S A1 ∃A f=0 is stable

A f0 don ' t ∃ if is small∃ two A f ∈0,1 if is large.One stable , the other instable.

With a high self-facilitation, A can survive if it has already large numbers

dies

and some A f0

survives

Page 21: Facilitation in Population Dynamics

Temporal variation of both species and salinity when, at equilibrium, both co-exist.

Species ASpecies B (with facilitation)Control for species BSalinity

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Temporal variation of both species and salinity when, at equilibrium, both co-exist.

Species ASpecies B (with facilitation)Control for species BSalinity

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Temporal variation of both species and salinity when, at equilibrium, species B goes extinct.

Species ASpecies B (with facilitation)Control for species BSalinity

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Variation of abundance of both species with respect to salinity.

Species ASpecies B (with facilitation)Control for species B

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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

¿

Page 26: Facilitation in Population Dynamics

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

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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.

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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

With A 125 350 300

Bert

ness

& H

ack

er,

199

4

Page 29: Facilitation in Population Dynamics

Other scenarios…

A B

S- -

--

--

Auto-facilitation of the facilitated

Why does it matter biologically?

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Forest Clearing

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A B

S- -

--

--

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This is what we had in the previous model:

There are clear stable points

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And this is what I ended up with:

UNTRUE!

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Population at time t = 4000

Another snapshot time:

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Population at time 400

Competitive exclusion

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Plain competition: A is excluded

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Population at time 400

Competitive exclusion Competition/

facilitation

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B needs A, both are stable

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Population at time 400

Competitive exclusion Competition/

facilitationEcological succession!

Successive oscilations

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T = 400

T = 4000

Looking for the bifurcation

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Converges fast to stability

Oscilating at very low frequency and high amplitude