g = number of offspring produced per discrete unit of time (year, month, day)
r = number of offspring produced per individual per unittime
derivative = model, function = solution
what does the log function do: Gives us a sense of how big that number is/overallsize of number (by telling us its order of magnitude)
For a series of numbers that changes by an order of magnitude at each step, log10 of those numbers will change by one at eachstep (e.g everytime there is an extra x10, we go up 1 in log)
exponential death formula: S(t) = S0e^-(ct)
mean lifetime: 1/c
c = number of disappearance events per capita per unit time
r/c is the average number of offspring produced by an individual during its lifetime:
discrete data is data that can take on certainvalues e.g. integers/counts
continuous is data that can take on any value within a certain range e.g. height