- J. M. Cushing
Difference Equations Arising in Evolutionary Population Dynamics - - PowerPoint PPT Presentation
Difference Equations Arising in Evolutionary Population Dynamics - - PowerPoint PPT Presentation
Difference Equations Arising in Evolutionary Population Dynamics J. M. Cushing Simon Maccracken Department of Mathematics Department of Ecology & Evolutionary Biology Interdisciplinary Program in Applied Mathematics University of
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OUTLINE
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Semelparous Juvenile-Adult Models
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1 1
( , ) ( , )
t t t t t t t t
J b J A A A s J A J R sb inherent net reproductive number
( expected offspring per individual per life time )
b s
inherent (low density) adult fertility inherent (low density) juvenile survival
1 2 2
: [0, ) : (0,1) (0,0) R C R are where
- pen
(0,0) (0,0) 1 Density dependence
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Iteroparous Juvenile-Adult Models
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1 1
( , ) ( , ) ( , )
t t t t t j j t t t a a t t t
J b J A A A s J A J s J A A
1 2 2
: [0, ) , : (0,1) (0,0)
j a
R C R are where
- pen
(0,0) (0,0) (0,0) 1
j a j a
b s s
inherent adult fertility inherent juvenile survival, inherent adult survival
1
j a
s R b s inherent net reproductive number
( expected offspring per individual per life time )
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Iteroparous Juvenile-Adult Models
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1 1
( , ) ( , ) ( , )
t t t t t j j t t t a a t t t
J b J A A A s J A J s J A A
Define :
1 1 1 1 1
j j j a a a a a a a
J j A A a J A j J a
s s s s s s s s s s
a Within-class
competitive effects Between-class competitive effects
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Iteroparous Juvenile-Adult Models
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1 1
( , ) ( , ) ( , )
t t t t t j j t t t a a t t t
J b J A A A s J A J s J A A
Fundamental Bifurcation Theorem
- 1. Origin is stable if R0 < 1 and unstable if R0 > 1.
- 2. Positive equilibria (transcritically) bifurcate from the origin at R0 = 1.
Assume a+ ≠ 0.
- 3. Stability depends on the direction of bifurcation:
Right (forward) bifurcating positive equilibria are stable. Left (backward) bifurcating positive equilibria are unstable.
- 4. a+ < 0 => right ( hence stable ) bifurcation
a+ > 0 => left ( hence unstable ) bifurcation
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Iteroparous Juvenile-Adult Models
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1 1
( , ) ( , ) ( , )
t t t t t j j t t t a a t t t
J b J A A A s J A J s J A A
Notes
- A right (stable) bifurcation occurs if there are
no positive feedback effects (at low density), i.e. if there are no positive derivatives
- Positive feedback terms (positive derivatives)
are called Allee effects.
, , ,
J A J A .
- A left (unstable) bifurcation can only occur in the
presence of strong Allee effects.
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Lloyd & Dybas (1966, 1974) Hoppensteadt & Keller (1976) Bulmer (1977) May (1979) Ebenman (1987, 1988) JC & Li (1989, 1992) Wikan & (1996) Nisbet & Onyiah (1994) Wikan & Mjølhus (1997) Behncke (2000) Davydova (2004) Davydova, Diekmann & van Gils (2003, 2005) Mjølhus, Wikan & Solberg (2005) JC (1991, 2003, 2006, 2010) Kon (2005, 2007) Diekmann & Yan (2008) JC & Henson (2012)
Semelparous Juvenile-Adult Models
1 1
( , ) ( , )
t t t t t t t t
J b J A A A s J A J
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Plants
Monocarpic perennials
Vertebrates
Species of : Fish Lizards Amphibians Marsupials … even a mammal !
Invertebrates
Species of Insects Arachnids Molluscs 13, 17 year cycles
Periodical Insects
Magicicada spp. Melontha spp. 3, 4, 5 year cycles Lasiocampa quercus var 1, 2 year cycles Annuals
Semelparity
“Poster-child” species
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Semelparous Juvenile-Adult Models
1 1
( , ) ( , )
t t t t t t t t
J b J A A A s J A J
Define :
J j A J j A
a s s
Within-class competitive effects Between-class competitive effects
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Semelparous Juvenile-Adult Models
ICDEA 2012 Barcelona
Fundamental bifurcation Theorem
JC & Jia Li (1989), JC (2006), JC & Henson (2012)
1 1
( , ) ( , )
t t t t t t t t
J b J A A A s J A J
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Semelparous Juvenile-Adult Models
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Fundamental bifurcation Theorem
J A
s (or ) right (or left) bifurcation
- 3. Synchronous 2-cycles also bifurcate from the origin at R0 = 1.
- 2. Positive equilibria bifurcate from the origin at R0 = 1.
- 1. Origin is stable if R0 = sb < 1 and unstable if R0 > 1.
Assume a+ ≠ 0.
- 4. (a) Left bifurcations are unstable.
(b) A right bifurcation is stable if the other bifurcation is to the left. (c) If both bifurcations are to the right, then
a (or ) right (or left) bifurcation a equilibria stabl & 2 - cycles un e stable a equilibria unstab 2 - cycles le st & able
Dynamic Dichotomy
1 1
( , ) ( , )
t t t t t t t t
J b J A A A s J A J
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Notes
- Weak between-class competition gives stable equilibria
- Strong between-class competition gives stable synchronous 2-cycles
J j A J j A
a s s
J j A J j A
a s s
- If there are no Allee effects, that is, no positive derivatives
then Dynamic Dichotomy occurs.
, , ,
J A J A
- Between-class (nymph) competition is leading hypothesis for periodical
cicada dynamics
- Dichotomy observed in experiments with Tribolium castaneum
JC et al., Chaos in Ecology, Academic Press (2003) King, Costantino, JC, Henson, Desharnais & Dennis, Proc Nat Acad Sci (2003) Dennis, Desharnais, JC, Henson & Costantino, Ecol Monogr (2001) Costantino, JC, Dennis & Desharnais, Science (1997)
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Semelparous Juvenile-Adult Models
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Typical example for which the Dynamic Dichotomy occurs:
1 1
( , ) ( , )
t t t t t t t t
J b J A A A s J A J
11 12 21 22
1 1 ( , ) , ( , ) 1 1 J A J A c J c A c J c A Leslie-Gower-type competition interaction functionals … a natural extension of discrete logistic ( or Beverton-Holt ) equation for an unstructured population.
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Evolutionary Semelparous Juvenile-Adult Models
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u U trait interval
max ( ) 1.
U
u U
b
Assume Then maximum adult fertility ( over the trait interval ) (0,0, ) 1 (0,0, ) 1 u u
1 1
( ) ( , , ) ( ) ( , , )
t t t t t t t t
J b u J A u A A s u J A u J
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u
mean of a phenotypic trait subject to Darwinian evolution
Evolutionary Semelparous Juvenile-Adult Models
ICDEA 2012 Barcelona
1
1 2
ln ( , , ) ( , , ) ( ) ( ) ( , , ) ( , , )
t t u
u u v R J A u R J A u b u s u J A u J A u v
trait variance ( assumed constant in time )
Using Evolutionary Game Theory Methodology
Vincent & Brown 2005
1 1
( ) ( , , ) ( ) ( , , )
t t t t t t t t t t t t
J b u J A u A A s u J A u J (0,0, ) 1 (0,0, ) 1 u u
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Evolutionary Semelparous Juvenile-Adult Models
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- What are the dynamics of this model ?
- When v = 0 the Fundamental Bifurcation Theorem applies
and the Dynamics Dichotomy is a possibility.
- What happens when v > 0 (i.e. when evolution is present)?
1
1 ln[ ( ) ( ) ( , , ) ( , , )] 2
t t u
u u v b u s u J A u J A u (0,0, ) 1 (0,0, ) 1 u u
1 1
( ) ( , , ) ( ) ( , , )
t t t t t t t t t t t t
J b u J A u A A s u J A u J
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Evolutionary Semelparous Juvenile-Adult Models
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Extinction Equilibria & Critical Traits
An extinction equilibrium (J, A, u) is an equilibrium with J = A = 0. A critical trait u satisfies
0(0,0, )
0.
uR
u
Easy to see that …
(0, 0, u) is an extinction equilibrium if and only if u is a critical trait.
1
1 ln[ ( ) ( ) ( , , ) ( , , )] 2
t t u
u u v b u s u J A u J A u (0,0, ) 1 (0,0, ) 1 u u
1 1
( ) ( , , ) ( ) ( , , )
t t t t t t t t t t t t
J b u J A u A A s u J A u J
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Evolutionary Semelparous Juvenile-Adult Models
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Synchronous 2-cycles
1 2
J A u u
1
1 ln[ ( ) ( ) ( , , ) ( , , )] 2
t t u
u u v b u s u J A u J A u (0,0, ) 1 (0,0, ) 1 u u
1 1
( ) ( , , ) ( ) ( , , )
t t t t t t t t t t t t
J b u J A u A A s u J A u J
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Main Theorem
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(b) If ∂uuR0(0 ,0, u*) > 0 then the equilibria (extinction & positive) equilibria and the synchronous 2-cycles are all unstable.
- 2. ∂uuR0(0 ,0, u*) ≠ 0
(a) If ∂uuR0(0 ,0, u*) < 0 then the Fundamental Bifurcation Theorem and the Dynamic Dichotomy hold … using R0(0 ,0, u*) as a bifurcation parameter. NOTE: R0(0, 0, u) = bb(u)s(u)
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Assume …
- 1. There exists a critical trait u* : ∂uR0(0, 0, u*) = 0
J j A J j A J A
a s s s
3. and
Then …
Examples
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11 12 21 22
1 1 ( , ) , ( , ) 1 1 0,
ij ii
J A J A c J c A c J c A c c at least one
- No trait dependence in these density feedback terms
- No Allee effects
- Dynamic Dichotomy holds in absence of evolution
- Dynamic dichotomy holds occurs in the presence of evolution if
∂uuR0(0 ,0, u*) < 0 Leslie-Gower Nonlinearities
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Examples
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Mathematically: s(u) and b (u) have
- pposite monotonicity
( ) ( ) 2 ( ) ( ) ( ) ( ) u s u u s u u s u
Trade-offs are of fundamental biological interest: Survival & fertility change in
- pposite manner as u increases.
Dynamic Dichotomy criterion: Critical trait equation:
0(0,0, ) uR
u
( ) ( ) ( ) ( ) u s u u s u
0(0,0, )
( ) ( ) R u b u s u
Net reproductive number:
0(0,0, ) uuR
u
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1
[ ( ) ( )] 1 2 ( ) ( )
u t t t t t t
u s u u u v u s u
21 22 11 12
1 1
1 1 1 1
( ) ( )
t
t t t t t t t t t
c J c A c J c A
J b u A A s u J
Examples
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( ) ( ) 2 ( ) ( ) ( ) ( ) u s u u s u u s u
Dynamic Dichotomy criterion: Critical trait equation:
0(0,0, ) uR
u
( ) ( ) ( ) ( ) u s u u s u
0(0,0, )
( ) ( ) R u b u s u
Net reproductive number:
0(0,0, ) uuR
u Stability critieria:
21 12 11 22
[ ( *) ] [ ( *) ] a c s u c c s u c stable equilibria
21 12 11 22
( *) ( *) c s u c c c s u c competition ratio
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1
[ ( ) ( )] 1 2 ( ) ( )
u t t t t t t
u s u u u v u s u
21 22 11 12
1 1
1 1 1 1
( ) ( )
t
t t t t t t t t t
c J c A c J c A
J b u A A s u J
Examples
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( ) ( ) 2 ( ) ( ) ( ) ( ) u s u u s u u s u
Dynamic Dichotomy criterion: Critical trait equation:
0(0,0, ) uR
u
( ) ( ) ( ) ( ) u s u u s u
0(0,0, )
( ) ( ) R u b u s u
Net reproductive number:
21 22 11 12
1 1
1 1 1 1
( ) ( )
t
t t t t t t t t t
c J c A c J c A
J b u A A s u J
0(0,0, ) uuR
u Stability critieria:
21 12 11 22
( *) ( *) c s u c c c s u c competition ratio
1 c stable equilibria 1 c stable 2-cycles
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1
[ ( ) ( )] 1 2 ( ) ( )
u t t t t t t
u s u u u v u s u
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b (u) s(u) R0(0,0,u) u u
Dynamical Dichotomy holds at critical trait u* = 1
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2
1 ( ) , ( ) 1 1 [0, ) (0,0, ) (1 ) u s u u u u U u R u b u trait interval:
Example 1
21 22 11 12
1 1
1 1 1 1 1 1 1
t t t t
t t t t t t t
u c J c A u u c J c A
J b A A J
1
1 1 2 (1 )
t t t t t
u u u v u u
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Example 1
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Sample Time Series R0(0,0,1) = 0.75 Extinction R0(0,0,1) = 2
c < 1 Stable Equilibrium
R0(0,0,1) = 2
c > 1 Stable 2-cycle
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Example 2
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b (u) s(u) R0(0,0,u) u u Large a > a0 a = s′′(0)
2 2 2 1 2 2 2
2 2 ( ) , ( ) 1 2 0, , 1 2 2 (0,0, ) 1 2 m u s u u au u m U R m u R u b au u trait interval:
2 2 21 22
1 1 2 11 12
2 1 2 1
2 1 1 1
t t t t
t t t t t t t
u u c J c A
J b A m A A au c J c A
2 2 2
1
1 2 2 (1 )(1 )
t t t
t t
u u u
u u vu
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2 2 21 22
1 1 2 11 12
2 1 2 1
2 1 1 1
t t t t
t t t t t t t
u u c J c A
J b A m A A au c J c A
2 2 2
1
1 2 2 (1 )(1 )
t t t
t t
u u u
u u vu
Example 2
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b (u) s(u) R0(0,0,u) u u
Dynamical Dichotomy holds at critical trait u* = 0
a = s′′(0)
2 2 2 1 2 2 2
2 2 ( ) , ( ) 1 2 0, , 1 2 2 (0,0, ) 1 2 m u s u u au u m U R m u R u b au u trait interval:
Large a > a0
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Example 1
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Sample Time Series R0(0,0,0) = 1.5
c < 1 Stable Equilibrium
R0(0,0,0) = 1.5
c > 1 Stable 2-cycle
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Example 2
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b (u) s(u) u u Small a < a0 R0(0,0,u)
2 2 2 1 2 2 2
2 2 ( ) , ( ) 1 2 0, , 1 2 2 (0,0, ) 1 2 m u s u u au u m U R m u R u b au u trait interval:
a = s′′(0)
2 2 21 22
1 1 2 11 12
2 1 2 1
2 1 1 1
t t t t
t t t t t t t
u u c J c A
J b A m A A au c J c A
2 2 2
1
1 2 2 (1 )(1 )
t t t
t t
u u u
u u vu
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2 2 21 22
1 1 2 11 12
2 1 2 1
2 1 1 1
t t t t
t t t t t t t
u u c J c A
J b A m A A au c J c A
2 2 2
1
1 2 2 (1 )(1 )
t t t
t t
u u u
u u vu
Example 2
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b (u) s(u) u u Small a < a0 R0(0,0,u)
Dynamical Dichotomy holds at 2 critical traits u*
2 2 2 1 2 2 2
2 2 ( ) , ( ) 1 2 0, , 1 2 2 (0,0, ) 1 2 m u s u u au u m U R m u R u b au u trait interval:
a = s′′(0)
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Example 2
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Sample Time Series R0(0,0, u*) = 1.5
c < 1 Stable Equilibrium
R0(0,0,u*) = 1.5
c > 1 Stable 2-cycle
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u will equilibrate at negative critical trait for other initial conditions
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Summary
- The Fundamental Bifurcation Theorem holds at critical traits u*
where inherent (low density) fitness has a local maximum : ∂uR0(0,0,u*) = 0, ∂uuR0(0,0,u*) < 0
- Positive equilibria & synchronous 2-cycles bifurcate at R0(0,0,u*) = 1.
- The Dynamic Dichotomy holds.
For example, when no Allee effects are present. For the EGT semelparous juvenile-adult model :
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Open Problems
- What are the properties of the bifurcation at R0 = 1 for Leslie
semelparous of dimensions 3 and higher without evolution ? with evolution?
- Global stability results? Especially for Leslie-Gower nonlinearities.
- What happens to bifurcating branches for large R0 >> 1 ?
- EGT Leslie semelparous models with 2 or more phenotypic traits