1. Population Dynamics I: Exponential Growth Assumptions –All organisms have at least one parent

2. Population Dynamics I: Exponential Growth Assumptions –All organisms have at least one parent –Population size increases through births and immigration

3. Population Dynamics I: Exponential Growth Assumptions –All organisms have at least one parent –Population size increases through births and immigration –Population size decreases through deaths and emigration

4. Population Dynamics I: Exponential Growth Assumptions –All organisms have at least one parent –Population size increases through births and immigration –Population size decreases through deaths and emigration –For simplicity’s sake, set immigration = emigration = 0

5. Modeling Exponential Growth N t+1 = N t + Births - Deaths

6. Modeling Exponential Growth N t+1 = N t + Births - Deaths In words: The population size N at at the next time sampled (t+1) equals the population size now plus the births in the population minus the deaths that occur in the population during one time interval (1 unit of t)

7. Modeling Exponential Growth N t+1 = N t + Births - Deaths How can we use this equation to estimate population size N at any future time t from population size now (N 0 ), without resorting to recursion?

8. Modeling Exponential Growth N t+1 = N t + Births - Deaths First, subtract N t from both sides of this equation: N t+1 - N t = N t - N t + Births - Deaths  N = Births - Deaths Read: “the change in population size N = births - deaths” or

9. Modeling Exponential Growth  N = Births - Deaths Assume that the population growth is continuous, and let the time interval t to t+1 get very small... dN/dt = Births - Deaths Read: “the change in population numbers (dN) with respect to changes in time (dt) equals births - deaths”

10. Modeling Exponential Growth dN/dt = Births - Deaths Assume that each individual produces the same number of offspring in each time interval (we’ll violate this assumption later), so total births B equals per capita (each “head” or per person) births b times the number of individuals in the population N: B = bN Similarly, total deaths D equals per capita deaths d times the number of individuals in the population N: D = dN. dN/dt = (b - d)N

11. Modeling Exponential Growth By convention, let r = (births-deaths). This parameter, r, is commonly referred to as the Malthusian parameter, the intrinsic rate of increase of a population, or the instantaneous rate of increase. Then, our equation becomes: dN/dt = rN dN/dt = (b - d)N

12. Modeling Exponential Growth What was the question, again? dN/dt = rN

13. Modeling Exponential Growth How can we use this equation to estimate population size N at any future time t from population size now (N 0 ), without resorting to recursion? dN/dt = rN

14. Modeling Exponential Growth How can we use this equation to estimate population size N at any future time t from population size now (N 0 ), without resorting to recursion? dN/dt = rN and then a miracle happened...

15. Modeling Exponential Growth N t = N 0 e rt How’d that happen? (calculus aficionados click here)click here What’s this mean? (keep going)

16. Modeling Exponential Growth N t = N 0 e rt What’s this mean? You can use this equation to predict population size at any given time t in the future by multiplying the population size now (at time t=0) times the exponential operator e raised to the rt power (your calculator can do this for you). how about some examples...?

17. Modeling Exponential Growth N t = N 0 e rt an example: Can I do this myself…?

18. Modeling Exponential Growth You can simulate exponential growth using Microsoft Excel (or any other spreadsheet software), or...

19. To get software for modeling population dynamics: Download Populus free from the internet! (it’s not Mac-compatible ) It’s also on the campus network, in the folder Populus on the network drive //slab/biology Modeling Exponential Growth why should I care...?

20. Modeling Exponential Growth Many human populations are still growing exponentially

21. Modeling Exponential Growth Many human populations are still growing exponentially You can use this equation to estimate population doubling time

22. Modeling Exponential Growth Many human populations are still growing exponentially You can use this equation to estimate population doubling time You can also use this equation to sensibly choose a bank account

23. Modeling Exponential Growth Many human populations are still growing exponentially You can use this equation to estimate population doubling time You can also use this equation to sensibly choose a bank account It will be on the first exam

24. Modeling Exponential Growth Computing population doubling time Recall: N t = N 0 e rt For the population to double, N t = 2N 0

25. Modeling Exponential Growth Computing population doubling time Recall: N t = N 0 e rt For the population to double, N t = 2N 0 So, 2N 0 = N 0 e rt, where t will be doubling time.

26. Modeling Exponential Growth Computing population doubling time Recall: N t = N 0 e rt For the population to double, N t = 2N 0 So, 2N 0 = N 0 e rt, where t will be doubling time. By division, 2 = e rt, and taking logarithms of both sides gives ln(2) = rt, and by division again ln(2)/r = time to doubling.

27. Modeling Exponential Growth Computing population doubling time Recall: N t = N 0 e rt For the population to double, N t = 2N 0 So, 2N 0 = N 0 e rt, where t will be doubling time. By division, 2 = e rt, and taking logarithms of both sides gives ln(2) = rt, and by division again ln(2)/r = time to doubling. Note that doubling time is independent of population size!

28. A brief assignment Determine the population sizes and the approximate intrinsic rates of increase, r, for your home town, your home state, and your home country (note: many databases give r as numbers per 1000, not per capita. What do you have to do to correct for that?) Compute the estimated doubling time for your home town, your home state, and your home country.

29. Next: violating assumptions and approaching reality