comes freely av R T = R + cN , w d N h + R N = b ( R T cN ) N d t - - PowerPoint PPT Presentation
comes freely av R T = R + cN , w d N h + R N = b ( R T cN ) N d t - - PowerPoint PPT Presentation
Chapter 5: Killing and Consumption comes freely av R T = R + cN , w d N h + R N = b ( R T cN ) N d t = bRN h h + R T cN N = bN 1 N , h + R T cN <latexit
Bacteria in a chemostat: birth rate proportional to consumption aR
dR dt = s − wR − aRN
dN dt = caRN − (w + d)N = caRN − δN ,
N = s aR − w a
nullclines: R ’=0:
heir R0 = ca ¯
R δ
= cas
δw >
g R = δ ca, ¯ N = sc δ − w a
N = 0
- r
R = δ ca
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>and: N ’=0:
Bacteria in a chemostat: birth rate proportional to consumption aR
- (a)
R N
δ ca s w
¯ N
- (b)
R N
(c)
Time Density ¯ N ¯ R
dR dt = s − wR − aRN
dN dt = caRN − (w + d)N = caRN − δN ,
N = s aR − w a
nullclines
N = 0
- r
R = δ ca
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>- (a)
R N
δ ca s w
¯ N
dR dt = s − wR − aRN
dN dt = caRN − (w + d)N = caRN − δN ,
J = ✓∂Rf ∂Nf ∂Rg ∂Ng ◆
|( ¯ R, ¯ N)
= ✓w a ¯ N a ¯ R ca ¯ N ca ¯ R δ ◆ = ✓w a ¯ N δ/c ca ¯ N ◆ = ✓α β +γ ◆ (
x, tr = α < 0,
, det = 0 βγ = βγ > 0,
Saturated consumption in a chemostat, birth rate proportional to consumption
dR dt = s − wR − aRN h + R and dN dt = caRN h + R − (w + d)N = caRN h + R − δN .
ivial N = e R0 = ca
δ . T
h
an R0 =
cas δ(wh+s)
e fact that the
¯ R = hδ ca − δ = h R0 − 1
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>dN dt = 0
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>gives
- r
s wR = aRN h + R $ N = (h + R)(s wR) aR = h + R a ⇣ s R w ⌘
R N
- (a)
R N
h R0−1 s w
¯ N
- (b)
R N
(c)
Time Density ¯ N ¯ R
dR dt = 0
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>gives
dR dt = s − wR − aRN h + R and dN dt = caRN h + R − (w + d)N = caRN h + R − δN .
−w a R
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>dR dt = s − wR − aRN h + R and dN dt = caRN h + R − (w + d)N = caRN h + R − δN .
R N
- (a)
R N
h R0−1 s w
¯ N
- (b)
R N
(c)
Time Density ¯ N ¯ R
J = ✓ ∂Rf ∂Nf ∂Rg ∂Ng ◆
|( ¯ R, ¯ N)
= ✓−α −β +γ ◆
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>Replicating resource: Lotka-Volterra model, birth rate proportional to consumption
dR dt = rR(1 R/K) aRN , dN dt = caRN δN .
N = r
a(1 − R K )
axis, the nullc
( ¯ R, ¯ N) = (0, 0), (K, 0) and ⇣ δ ca, r a h 1 − δ caK i⌘
Steady states:
¯ R = δ ca
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>dN dt = 0
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>gives
dR dt = 0
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>gives
dR dt = rR(1 R/K) aRN , dN dt = caRN δN .
- (a)
R N
δ ca
K
r a
¯ N
- (b)
R N
(c)
Time Density ¯ N ¯ R
N = r
a(1 − R K )
axis, the nullc
- (a)
R N
δ ca
K
r a
¯ N
- (b)
R N
(c)
Time Density ¯ N ¯ R J = ✓∂Rf ∂Nf ∂Rg ∂Ng ◆
|( ¯ R, ¯ N)
= ✓r − 2r
K ¯
R − a ¯ N −a ¯ R ca ¯ N ca ¯ R − δ ◆ = ✓ − rδ
caK
−δ/c ca ¯ N ◆ = ✓−α −β +γ ◆
dR dt = rR(1 R/K) aRN , dN dt = caRN δN .
Generalized Lotka-Volterra model, birth rate proportional to consumption
dR dt = rR(1 − (R/K)m) − aRN , dN dt = caRN − δN ,
- (a)
R N
δ ca
K
r a
- (b)
R N
δ ca
K
r a
N = r a(1 − (R/K)m)
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>dR dt = 0
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>gives
dR dt = [f(R) − aN] R
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>N = f(R)/c
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>dR dt = 0
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>gives
dR dt = rR(1 − (R/K)m) − aRN , dN dt = caRN − δN ,
- (a)
R N
δ ca
K
r a
- (b)
R N
δ ca
K
r a
J = ✓ ∂Rf ∂Nf ∂Rg ∂Ng ◆
|( ¯ R, ¯ N)
= ✓−α −β +γ ◆
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>- (a)
R N
δ ca
K
r a
- (b)
R N
δ ca
K
r a
g(aR) = aR H + aR = R h + R
h R0 − 1 h R0 − 1
dR dt = rR(1 − (R/K)m) − aRN , dN dt = caRN − δN ,
dN dt = βR h + R − δ
- N = [βf(R) − δ] N
gives
J = ✓ −α −β +γ ◆
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>When are horizontal and vertical nullclines a robust result?
dR dt = rR − aRN and dN dt = caRN − δN
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>N = r a and R = δ ca
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>J = ✓ r − a ¯ N −a ¯ R ca ¯ N ca ¯ R − δ ◆ = ✓ 0 −δ/c cr ◆
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>λ± = ± √ −δr = ± i √ δr
<latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit><latexit sha1_base64="(nul)">(nul)</latexit>- (a)
N
δ ca r a
✓ − − + ◆ tr < 0
- (b)
δ ca r a
✓ − + ◆ tr = 0
- (c)
δ ca r a
✓ + − + ◆ tr > 0
- (d)
R N
δ ca r a
✓ − + + ◆ tr > 0
- (e)
R
δ ca r a
✓ − + − ◆ tr < 0
- (f)
R
δ ca r a
✓ − − + + ◆ tr =?
- (a)
R N
δ ca s1 w s2 w
- (b)
R N
δ ca
K1 K2
r a