BIOL-104 Lecture Notes - Lecture 30: Exponential Growth, Logistic Function, Carrying Capacity
Document Summary
No adding or subtracting the marked individuals mix with the rest evenly and are not easier/harder to catch as a result of their experience. Why is it growing, why is the rate changing, why do two populations grow at different rates. Nt+1 = nt + births deaths. This forms a null model of population growth. Discrete growth everyone reproduces once and only once per generation. Continuous growth is a better model for some overlapping generations breeding hroughtout the year. This leads to exponential growth, which we o see in nature. The e(cid:454)po(cid:374)e(cid:374)tial (cid:373)odel does(cid:374)"t take i(cid:374)to a(cid:272)(cid:272)ou(cid:374)t e(cid:374)(cid:448)iro(cid:374)(cid:373)ental conditions resource availability as the population gets large. Assumes every individual is interchangeable ages, sex ratios, etc. Populatio(cid:374)s do(cid:374)"t" ha(cid:448)e i(cid:373)(cid:373)igratio(cid:374) or e(cid:373)igratio(cid:374) metapopulational dynamics in which individuals do move around. Carrying capacity (k) maximum population that the particular environment can support at a particular time.