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Lecture

# How Populations Grow.docx

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School
University of Toronto St. George
Department
Biology
Course
BIO120H1
Professor
Paul Thompson
Semester
Fall

Description
How Populations Grow: The Exponential and Logistic Equations Introduction Mitosis: 2x the population from the last time step In the article, the species Paramecium is being observed in the case of population growth Exponential Equation Exponential equation is a model to be used for the growth of a single population  Best used for single celled organisms which reproduce asexually by cell division.  Examples: a bacterium or a ciliate  N(today)= 2N(yesterday)  N(t) = 2N(t-1)  N(t) = 2tN(0) o N(t) = 2tN(0) in words: From however large the initial population is at t=0, the population now (or the time that we’re calculating for) is simply the initial population times 2 times the steps of growth it has gone through. o This equation works for the situation: if one splits into two and two into four  N(t) = RtN(0) is the general equation where R is the multiple factor by which the population increases. o Ex. If an organism divides two times (4 individuals) and one dies every time, then the equation will be N(t) = 3t(0)  R = “finite rate of population increase” o Can be expressed in any way including 2.71828… = Euler’s Constant = e rt o When R = e, equation  N(t) = e representing continual growth (no definite time steps)  Gives you the growing population with a given time  Knowing that ln(e ) = x, lawn both side to change the equation to ln[N(t)] = rt  The constant “r” = intrinsic rate of natural increase  Very close to many populations’ growth model  This equation is used to calculate the time needed to reach a certain population in exponential growth o Note: if it’s (^) hard to understand, check out http://betterexplained.com/articles/demystifying-the-natural-logarithm-ln/  Reminder: Function Derivative ( ) ( ) ( ) ( ) ( )  Differential Equation o Solves for rate of growing in respect of t ( ) o  rate of change is constant (“intrinsic rate of increase”) ( ) o Per capita = per person, /individual  How does the average change in numbers for an individual.  Exponential equation is useful in predicting simple population in a relatively short time  Example: Crops o Threats to population: herbivores, pests o Methods to prevent: pesticides  But is realized to be harmful for human  Set a limit to a threshold to the population of the pests at which the farmers can start using pesticides to control the pest population o Knowing the R of the population growth would have been really useful to estimate when to start. Density Dependence Modifies the Exponential Equation Simple population is not that prevalent, there is always factors in the nature which controls the population growth. Below are the factors which limit population growth:  Intraspecific Competition
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