Module 3.3 Constrained Growth

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Presentation transcript:

Module 3.3 Constrained Growth

Unconstrained Growth and Decay of population (P) dP/dt = rP Limitations to unconstrained growth? Carrying capacity (M) - maximum number of organisms area can support

Rate of change of population D = number of deaths B = number of births rate of change of P = (rate of change of D) – (rate of change of B)

Rate of change of population Rate of change of B proportional to P Rate of change of population P

If population is much less than carrying capacity Almost unconstrained model Rate of change of D (dD/dt)0

If population is less than but close to carrying capacity Growth is dampen, almost 0 Rate of change of D larger, almost rate of change B

dD/dt 0 for P much less than M In this situation, f 0 dD/dt dB/dt = rP for P less than but close to M In this situation, f 1 What is a possible factor f ? One possibility is P/M

If population greater than M What is the sign of growth? Negative How does the rate of change of D compare to the rate of change of B? Greater Does this situation fit the model?

Continuous logistic equations

Discrete logistic equations

If initial population < M, S-shaped graph

If initial population > M

Equilibrium solution to differential equation Where derivative always 0 M is an equilibrium Population remains steady at that value Derivative = 0 Population size tends M, regardless of non-zero value of population For small displacement from M, P  M

Stability Solution q is stable if there is interval (a, b) containing q, such that if initial population P(0) is in that interval then P(t) is finite for all t > 0 P  q