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UNIT 5: Population Dynamics 12.3: Changes in Population Size over Time: Modeling Population Growth pg. 600 – 609 Animal populations change over time due to births, deaths, and the immigration and emigration of individuals between different populations. Population dynamics are affected by environmental conditions and other regulating factors. Changes can occur, hourly, daily, seasonally, and annually. These factors lead to unpredictability of population changes, but being able to predict, understand how and why populations change overtime will allow for species management. Population Dynamics – is the change in a population over time. Exponential Model of Population Growth Ecologists are interested in the population growth rate: the fractional rate at which the number of individuals in a population increases or decreases. The change of a population over a period of time and is expressed in as percentage of number of individuals in the population at the beginning of this period is known as the population growth rate. Population = (births + immigration) - (deaths + emigration) Growth rate initial population X 100 Positive growth rate indicates that the population is increasing in size. Negative growth rate indicates that the population is decreasing in size. If there is no change in the population size over time, then the growth rate is zero. Populations that can reproduce continuously, that do not have set times of reproduction (seasonal) have the ability to increase their populations exponentially, a constant ratio per unit time, e.g.: bacteria. If no bacteria die between successive generations, then the population has the potential to double for each generation. If there is an ideal temperature, unlimited food supply, and ample space, bacteria will continue to increase in size. Exponential Model of Population Growth – is a pattern of population growth in which organisms reproduce continuously at a constant rate. Human populations also have the same potential as bacteria to reproduce exponentially. Ignoring migration at this time will allow for the following to hold true; Change in population size = number of births – number of deaths Per Capita Growth Rate (r) – is the difference between the per capita birth rate and the per capita death rate of a population. Zero Population Growth (ZPG) – is a situation in which the death rate and birth rate are in equilibrium. Carrying Capacity (K) – is the number of individuals in a population that the environment resources can support. Logistic Model of Population Growth – is a model that describes limited population growth, often due to limited resources or predation. Sigmoid Curve (Logistic) – is an S-shaped curve, typical of population growth that starts slow, accelerates or grows rapidly, and then levels out over time. Figure 2: Bacterial population growth. Figure 3: Exponential population growth produces a J-shaped curve when population size is plotted against time. Although the per-capita growth rate (r) remains constant, the population growth increases every month because more individuals are responding. Figure 5: A geometric growth curve. Figure 6: a) laboratory population of the grain borer beetle showed logistic growth when its food was replenished weekly. b) European mouflon sheep introduced into Tasmania exhibited logistic population growth. The data represented five-year averages, smoothing out the annual fluctuations in population size.