Extinction

Recent extinctions
Time-to-extinction
Extinction risk
Allee efffects
For a deterministic model, time to extinction can be calculated easily.
But how should we define extinction?
Time to quasi-extinction (\(T_e\)) is the time it takes for a population to reach an extinction threshold beyond which it is doomed.
Threshold is usually based on genetic considerations, Allee effects, …
For stochastic models, we are interested in extinction risk.
Extinction risk is the probability that a species goes extinct in some time period.
Extinction risk can be calculated as the proportion of simulations in which the population goes extinct.
Calculating extinction risk requires a specification of the time horizon of interest.
\[ N_{t+1} = N_t + N_tr_{max}(1 - N_t/K_t) \]
where
\[ K_t \sim \mbox{Normal}(\bar{K}, \sigma^2) \]
\[ N_{t+1} = N_t + N_t 0.3(1 - N_t/K_t) \\ K_t \sim \mbox{Normal}(\bar{K}=100, \sigma^2=400) \]










Zero extinctions in 100 simulations, hence extinction risk is (approximately) zero over the 20 year time horizon.
Assumptions:
\[ N_{t+1} = N_t + N_t 0.3(1 - N_t/K_t) \\ K_t \sim \mbox{Normal}(\bar{K}=100, \sigma^2=1600) \]










Normally, population growth rates increase as the population decreases (negative correlation).
The Allee effect is the phenomenon of positive correlation between population growth rates and population size.
Possible mechanisms:
Allee effects can greatly increase extinction risk for small populations
Humans have increased extinction rates dramatically.
Models let us predict time-to-extinction and extinction risk.
Models can be used to assess effects of management actions on extinction risk.
Assignment
Read pages 27–31 in Conroy and Carroll.