Pattern Formation in Arid Ecosystems A Bifurcation Analysis John M. Zobitz

advertisement
Pattern Formation in Arid
Ecosystems
A Bifurcation Analysis
John M. Zobitz
December 2, 2004
Pattern Formation in Arid Ecosystems – p.1/18
The Plan
Vegetation Patterns
•
•
•
Bushy vegetation in Niger,
from Rietkerk et al 2004.
•
•
Examples of Patterns
Mechanisms for
Patterns
Modeling Vegetation
Patterns
Bifurcation Analysis
Spatial Aspects
Pattern Formation in Arid Ecosystems – p.2/18
Examples of Patterns
The left picture shows examples of bushy
patterns in (b) Niger, (c) Israel, (e) French
Guiana, and (f)-(g) are peatlands in
western Siberia from Rietkerk et al 2004
Pattern Formation in Arid Ecosystems – p.3/18
Mechanisms for Patterns
Some mechanisms for this patterning include:
•
Positive feedbacks between vegetation and water:
•
Soil water is locally redistributed from depth by
deep roots.
•
This redistribution allows plants to grow locally.
•
Increased shading (reduced evaporation) means
more water is around.
Pattern Formation in Arid Ecosystems – p.4/18
Mechanisms for Patterns (cont.)
• Short-range facilitation/long-range competition for resources
• Long-superficial roots compete for sparse nutrients
• Positive local feedback for growth.
Vegetation patterns and uniform vegetation due to local facilitation, long-range
competition in Ivory Coast from Rietkerk et al 2004
Pattern Formation in Arid Ecosystems – p.5/18
Mechanisms for Patterns (cont.)
•
“Ecosystem engineers” (cyanobacteria, plants,
microorganisms)
•
→
Associate with shrubs to locally accumulate
soil-water.
Environmental changes cause catastrophic
species loss!
Pattern Formation in Arid Ecosystems – p.6/18
As a reminder...
Pattern Formation in Arid Ecosystems – p.7/18
Modeling Vegetation Patterns
Non-dimensionalized, the model presented in Meron et al
2004 is the following:
∂n
γw
=
n − n2 − µn + ∆n
∂t
1 + σw
∂w
= p − (1 − ρn)w − w 2 n + δ∆(w − βn)
∂t
(1)
(2)
Where:
•
n: Plant density
•
w: Amount of water
Pattern Formation in Arid Ecosystems – p.8/18
Modeling Vegetation Patterns (cont.)
Where each of the terms are:
•
γw
n:
1+σw
•
•
•
•
•
•
•
n2 : Herbivory
Plant growth dependent on water availability
µn: Mortality
∆n: Dispersal
p: Incoming precipitation
−(1 − ρn)w: Evaporation reduced by plant shading
w2 n: Water loss due to transpiration
δ∆(w − βn): Soil water transport via Darcy’s Law.
Two key parameters will be p and ρ
Pattern Formation in Arid Ecosystems – p.9/18
Bifurcation Analysis
Without considering space, there is an equilibrium at:
n = 0, w = p
This solution can be continued via the Implicit Function
Theorem until:
µ
pc =
γ − µσ
Pattern Formation in Arid Ecosystems – p.10/18
Bifurcation Analysis (cont.)
Shift our system by w̃ = w − p, then at equilbrium, we must
satisfy:
ṅ = A(ρ)n3 + B(p, ρ)n2 + C(p, ρ)n + D(p, ρ) = 0
Varying ρ will change the cubic structure. A fold bifurcation
will arise when we project the curve Γ onto the plane:
Γ=

A(ρ)n3 + B(p, ρ)n2 + C(p, ρ)n + D(p, ρ) = 0
3A(ρ)n2 + 2B(p, ρ)n + C(p, ρ) = 0
Pattern Formation in Arid Ecosystems – p.11/18
Bifurcation Analysis (cont.)
The places where the stability changes are where
∂p/∂n = 0, or solutions of:

A(ρ)n3 + B(p , ρ)n2 + C(p , ρ)n = 0
c
c
Γ=
 ∂p = 0
∂n
We should obtain two values p0 and p1 .
Pattern Formation in Arid Ecosystems – p.12/18
Bifurcation Analysis (cont.)
A critical value ρc can be found by solving the following system:
8
<A(ρ)n3 + B(p , ρ)n2 + C(p , ρ)n = 0
c
c
Γc = ∂p
: p=p = 0
∂n
c
Values greater than ρc will induce a threshold value p0 < pc .
n
n
ρ > ρc
ρ < ρc
pc
p
p0
pc p1
p
Pattern Formation in Arid Ecosystems – p.13/18
Spatial Aspects
Assume we have appropriate eigenfunctions of the
Laplacian. Linearize about an equilibrium point n0 , w0 , with
the following Jacobian:
J=

γw0
 1+σw0
− 2n0 − µ
w0 (ρ − w0 )
n=
γn0
(1+σw0 )2


n0 (ρ − 2w0 ) − 1
X
ck eλt Nk (r)
(3)
X
c̃k eλt Wk (r)
(4)
k
w=
k
Pattern Formation in Arid Ecosystems – p.14/18
Spatial Aspects (cont.)
We obtain the following eigenvalues:
p
1
−b(k 2 ) ± b(k 2 )2 − 4h(k 2 ) ,
λ± =
2
(5)
where:
p
+ w0 p 0
b(k ) = k (1 + δ) + n0 +
w0
h(k 2 ) = det J + δk 4 − k 2 (J22 + δJ11 − δβJ12 )
2
2
(6)
(7)
Pattern Formation in Arid Ecosystems – p.15/18
Spatial Aspects (cont.)
λ+ < 0 when h(k2 ) ≥ 0. The uniform state undergoes a fold bifurcation and becomes
unstable for finite wavenumbers k when:
(J22 + δJ11 − δβJ12 )2
det J =
4δ
Solving this for p gives critical points (p2 ) for which precipitation values stabilize or
destabilize the uniform vegetation state, leading to non-uniform patterns.
We can also define a critical wavenumber:
kc =
r
det J
δ
Pattern Formation in Arid Ecosystems – p.16/18
Putting it all together
We can classify new types of desertrification:
•
p > p2 : (dry-subhumid) Uniform vegetation is stable
•
p1 < p < p2 : (semiarid) The only possible states are
non-uniform vegetation patterns
•
p0 < p < p1 : (arid) All three stable states are possible.
•
p < p0 : (hyperarid) Only the bare state is stable.
Pattern Formation in Arid Ecosystems – p.17/18
For more information...
• J. Von Hardenberg, E. Meron et al. Diversity of Vegetation Patterns and
Desertrification. 2001. Physical Review Letters. 87(19).
doi:10.1103/PhysRevLett.87.198101
• E. Meron, E. Gilad, et al. Vegetation Patterns along gradient. 2004. Chaos,
Solitons, and Fractals. 19:367-376.
• M. Rietkerk, S. C. Dekker. Self-Organized Patchiness and Catastrophic Shifts in
Ecosystems. 2004. Science. 305:1926-1929.
• M. R. Aguiar and Osvaldo E. Sala. Patch structure, dynamics and implications for
the functioning of arid ecosystems. 1999. TREE. 14(7):273-277.
Pattern Formation in Arid Ecosystems – p.18/18
Download