variability in spacein time no migration migration (arithmetic) source-sink structure with the...
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Variability in space In time
No
mig
rati
onm
igra
tion (arithmetic)
Source-sink structurewith the rescue effect
(geometric)
G < A G declines with increasing variance
Temporal variability reduces population growth rates
Cure – populations decoupled with respect to variability, but coupled with respect to sharing individuals
Source-sink structure
(arith & geom)Increase the number of subpopulations increases the growth rate (to a point),and slows the time to extinction
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Overview ofpopulation growth:
discrete continuous
densityindependent
densitydependent
Geometric Exponential
DiscreteLogistic
LogisticNew Concepts:
- Stability- DI (non-regulating)
vs. DD (regulating) growth
- equilibrium
Variability in growth
(1) Individual variation in births and deaths(2) Environmental (extrinsic variability)(3) Intrinsic variability
XX
X
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Series1
BUT, most populations appear more regulated than this…..
And
THERE ARE LIMITS TO GROWTH!!!!
e.g., Australian sheep
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Limits are manifestedin (-) density dependence in population vital rates:
mortality/survivorshipreproduction
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At higher densities, song sparrows:
(a) smaller % reproductive males (b) fewer young fledged/female(c) lower juvenile survivorship
Density dependence often affects more than a single component of those rates:
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How do populations grow?
time
N
Logistic Growth
dNdt
(K-N)K
rN=
1 dNN dt
(K-N)K
r=
population
per capita
N
1 dNN dt 0
K
K
K = Carrying capacity: themaximum density of individuals that the environment can support
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If N = 0 (K-(0))K
= r
1 dNN dt
(K-N)K
r=
KK
= r
= r
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N
If N = 0 (K-(0))K
= r
1 dNN dt
(K-N)K
r=
KK
= r
= r
That’s Exponential Growth}
Exponentialgrowth-like
time
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If N = K (K-(K))K
= r
1 dNN dt
(K-N)K
r=
0K
= r
= 0
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N
K
If N = K (K-(K))K
= r
1 dNN dt
(K-N)K
r=
0K
= r
= 0
That’s Zero Growth}
Zerogrowth
time
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N
K
1 dNN dt
(K-N)K
r=
Put the two together
LOGISTIC GROWTHtime
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N
1 dNN dt 0
K
1 dNN dt
(K-N)K
r=
r
(= r K _K
NK)
= r 1 _ 1K )( N
= r _ r K N
Y = b + m X
- growth
+ growth
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2nd Simplest expression of population growth: 2 parameters: r = intrinsic growth rate and K = carrying capacity
Per capita growth rate is (-) density dependent
Second Law of Ecology: There are limits to growth
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N
K
time
N
time
EQ stability regulationLog.
Exp.
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Rinderpestinnoculation
Severe drought
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Rainfall
Total food
per capita food
So what aboutDensity-dependence?
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0.0
0.2
0.4
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1.0P
ropo
rtio
n of
ani
mal
s Live wildebeest
Solid
, whi
te fa
t
Opaqu
e gela
tinou
s
Trans
luce
nt g
elatin
ous
0.0
0.2
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0.8
1.0
Lion/hyena killed
Trans
luce
nt g
elatin
ous
Opaqu
e gela
tinou
s
Solid
, whi
te fa
t
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http//www.cbs.umn.edu/populus/download/download.html
To download a version of Populus:
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r=0.2 r=1.0
r=1.8 r=2.0
Dampedoscillations 2-point
limit cycle
Den
sity
time
Discrete Logistic Growth
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r=2.2
r=2.8 r=4.0
r=2.5
Chaos
4-pt cycle
extinction
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r=2.8ChaosChaos – “unpredictable” populationdynamics incurred through very highgrowth rate and time lags between growth and negative feedback.
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sity
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Extrinsicvariability
time
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sity
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Islands < 1.0 ha support too few shrews to persist
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K=1000; r=3.0 Population culled by 25%
time
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Population culled by 25%Extrinsicvariability
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Variability comes in 2 flavors: Extrinsic and Intrinsic
Recognizing the type of variability is important because different types require different solutions.
Intrinsic – growth rate or population size
Extrinsic – migration, # populations, population size
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Overview ofpopulation growth:
discrete continuous
densityindependent
densitydependent
Geometric Exponential
DiscreteLogistic
LogisticNew Concepts:
- Stability- DI (non-regulating)
vs. DD (regulating) growth
- equilibrium
Variability in growth
(1) Individual variation in births and deaths(2) Environmental (extrinsic variability)(3) Intrinsic variability
XX
XX
XX
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REVIEW
- Populations consist of sources ( > 1) and sinks (<1), the latter doom to extinction……..
- Populations have good years and bad years and temporal variation is bad ……………………………
- Populations can grow chaotically by over- and under-shooting Carrying capacity………………….
- Populations with an Allee Effect can decline to extinction if N is too low………………………………..
- Cure: Dispersal from sources can Rescue sinks
- Cure: Many populations that share individuals (dispersal)
- Cull the population or otherwise reduce its growth
- Recognize and keep density above the critical density
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N
time
2 Models of growth
Exponential – all populations have the capacity to growth exponentially, but
Growth has no limits and is density independent
N
1 dNN dt
1 dNN dt
= rSustained Exponential
growth is unrealist
ic
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time
N
K
1 dNN dt
(K-N)K
r=
Logistic – recognizes limits to growth (Carrying capacity) and incorporates the negative effect individuals have on their growth rate
N
1 dNN dt 0
K
r
(- Density Dependence)
Stable EQ @ K
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N
1 dNN dt
0
K
One other variation is the ALLEE EFFECT where individuals also have + Density Dependence at low density
+ DDe.g., social behaviorsafety in numbers
- DD Individuals inhibit
their growth
aahh
hhh…
.
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Important Concepts we have touch upon under Population Growth
- Life Tables: Understanding how patterns of age-specific survivorship and maternity has consequences for population growth and can be manipulated to achieve a management goal
- Variability: In space, populations exist as sources ( > 1) and sinks ( < 1), the latter of which must receive migrants to persist (Rescue Effect)
In time, environmental variation is an anathema to population growth, but it too has a cure: increase the number of populations, migration,
- Intrinsic Variability: Appreciate the difference between external and internal variation arising from time lags and delayed density dependence. Its cure is radically different than for external variation – and requires
culling population size or otherwise reducing the growth rate.
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Important Concepts we have touch upon under Population Growth
- EQ, stability, and Pop. regulation: Attainable only under (-) density dependence. Negative feedback is Universal
- Domains of Attraction: Specifically, under the Allee Effect, population extinction is an “attractant” below some critical density
The concept of the limits to growth is manifested in the Carrying Capacity
Species Social Behavior is manifested in the Allee Effect
But otherwise, we have incorporated the biology of species as phenomena and have not appreciated the actual details
------------------------------------------------------------------------
But we will……
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Where’s the Biology?
Wildebeest populations growth
competition for grass occurs
Individuals are energy stressed
Lions kill off weak individuals
1 dNN dt
(K-N)K
r=Lions?Grass?
??Energy/stress??
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The Phenomenological Approach
THE GOOD: Modeling the phenomena allows us to look past the details … we don’t need separate models for
every organism
THE BAD: We only get a superficial understanding …. when the details matter we’re left scratching our heads
This tradeoff between DETAIL and GENERALITY Is pervasive throughout science