growth and decline

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    Exponential growth

    pop. size

    at time

    t+t

    =pop. size

    at time t+

    growth

    increment

    N(t+ t) = N(t) + N

    Hypothesis: N = r N t

    r - rate constant of growth

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    Differential equation for exponential growth

    rNdt

    dN

    )exp()( 0 rtNtN

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    Exponential growth in discrete time

    Nt+1= Nt + r Nt

    Nt+1= (1+r) Nt

    Nt= (1+r)t N0

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    Exponential decline

    rNdt

    dN

    )exp()( 0 rtNtN

    r - mortality rate

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    0 2 4 6 8 10 12 14 16 18 20

    0

    20

    40

    60

    80

    100

    120

    Timet

    N(t)

    Exponential decline r=0.1

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    Limited growth

    Factors that affect population dynamics

    reproduction (growth rate)

    mortality

    environmental capacity

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    Monomolecular model for limited

    growthFirst order chemical reaction: A P

    Areactant, Pproduct, R(t)reactant concentration

    kreaction rate

    kRdt

    dR - Exponential decay

    C(t)product concentration

    )( CAkdt

    dC A = R(0)

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    0 1 2 3 4 5 6 7 8 9 100

    5

    10

    15

    20

    25

    30

    35

    40

    45

    50

    Conc

    entrations

    time

    Product C(t)=A(1-exp(-kt))

    Reactant R(t)=A exp(-kt)

    Monomolecular growth

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    Logistic growth model

    Relies on the hypothesis that population

    growth is limited by environmental capacity

    K

    NrN

    dt

    dN1

    Kenvironmental capacity

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    )exp(11

    )(

    0

    rtNK

    KtN

    0 2 4 6 8 10 12 14 16 18 200

    50

    100

    150

    time

    N(t)

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    Logistic growth with time delay

    Factor that limits growth acts after some time TD

    No analytical solution

    K

    TtNtrN

    dt

    tdND)(

    1)()(

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    600

    )(1)(5.0

    )(DTtN

    tNdt

    tdN

    0 10 20 30 40 50 60 70 80 90 1000

    200

    400

    600

    800

    1000

    1200

    1400

    1600

    1800

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    Discrete logistic model

    K

    iNiRNiN )(1)()1(

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    Growth of individual organisms

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    Von Bertalanffys model

    Postulates:

    Gain in weight is proportional to the surface

    area of the organism

    Loss in weight is proportional to the weight

    of the organism

    Organism maintain the same shape while

    growing

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    Von Bertalanffys model

    CWHSdt

    dW

    Ssurface area

    Wweight

    L - length

    H,C - parameters3

    32

    2 , LaWLaS

    )( max LLk

    dt

    dL

    )exp(1)(

    max

    0max kt

    L

    LLtL

    (monomolecular growth)

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    Richards family of models

    1)1(

    1

    max

    m

    W

    W

    m

    kW

    dt

    dW

    mktAWtW 11

    exp1)( max

    Has all of previous models as special cases

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    Allometric growth

    Allometrystudy of relative sizes of different

    parts of organisms X, Y

    Hypothesis:dt

    dX

    Xb

    dt

    dY

    Y

    11

    bAXY

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    Computations

    Matlab script files and functions

    Simulink block diagrams

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    Computations

    Matlab functions:

    exp(x) - exponential

    plot(x,y) - plot

    ode45compute solution to ODE

    X=A\B - least squares (help slash)

    fmins - minimize function over arguments