![]() What kind of demographic effect do we see occurring in this village population? 10. In addition to the decreasing death rate, d = 0.15, the village also experiences an increase in birth rate to b = 0.78. How does this affect the population growth rate ( r ) ? 9. A decrease in the number of elderly people in the village lowers the death rate to d = 0.15. What are TWO limiting factors that could prevent this population from going through the exponential growth indicated in population size ( N ) ? 8. This graph does NOT accurately reflect reality. Now, move the time ( t ) through to 50 years and observe the change in population growth. In Plot 1, change the x-axis max value of time ( t ) to 100 years (check that all other values from Questions 5 and 6 are correct). Does this model predict that Tutsi village population growth rate will ever slow or decline in the 10 -year period? 7. Enter your calculated growth rate ( r ), initial population size N 0 = 120 and y-axis max population size to 10,000 in Plot 1. Calculate the population growth rate ( r ) for this village. ![]() A small Tutsi refugee village on the Rwandan border has the following rates in their current population: births ( b ) = 0.45, deaths ( d ) = 0.21 and no immigration or emigration occurring. TASK: Using the growth rate formula provided earlier and resetting the same exponential growth model, manipulate a population and answer the following questions. Scientists concerned about disease outbreaks and famines are trying to understand and predict the changes in the size of Tutsi populations using exponential models. Part 2: Exploring Limiting Factors in Exponential Modeling of Population Growth The Hutu and Tutsi conflict in Rwanda has left the Tutsi populations with 79% of households reporting at least two or three family members dying due to violence and 99% of households trying to recover after such an extended period of war and devastation.
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