Question

report “Rabbits and Wolves”Discuss the changes in parameters and how they affected the population growth curves for each organism (be sure to mention particular changes in the graphs and ending populations). Think about how this simulation could apply to the real world. What other factors or variables would have to be included. What if humans were added as a fourth organism, how would they affect this simulation? Also, do you think that a computer model is a useful tool to science? More precisely do you think there are times when such a model is useful and when such a model is not useful? Be sure to start your discussion with a statement of objectives - I have listed objectives above, write and state if you think you obtained the objectives and explain why or why not. There is absolutely no penalty for thinking that you didn't complete one of the objectives.

Answer 1

Ans.) To understand the different models that are used to represent population dynamics, first understand the general equation for the population growth rate (it is the change in number of individuals in a population over time):

                                                           dT/​​dN​​=rN

In this equation, T = growth rate of the population

NNN = population size

TTT = time

rrr = per capita rate of increase (that is, how quickly the population grows per individual already in the population).

The equation above is very general, and we can make more specific forms of it to describe two different kinds of growth models: exponential and logistic.

• When the per capita rate of increase (rrr) takes the same positive value regardless of the population size, then we get exponential growth.
• When the per capita rate of increase (rrr) decreases as the population increases towards a maximum limit, then we get logistic growth

A positive growth rate implies that the population is increasing, whereas a negative growth rate shows that the population is reducing. A growth ratio of zero indicates that there is a balance i.e. that there were the same number of organisms at the beginning and end of the particular time period. Sometimes, growth rate may be zero even when there are significant changes in the birth rates, death rates, immigration rates and age distribution between the two times period.

Situation which includes exponential development, different age-independent density variable influencing survival, three influencing fertility. The one function meeting the presumptions of the calculated model delivered a strategic development bend typifying the right values or rm and K. The others created sigmoid bends to which self-assertive strategic bends could be fitted with differing achievement. In view of population time slacks, two of the capacities influencing fruitfulness created overshoots and damped motions amid the underlying way to deal with the enduring state.

The other factors or variables would have been included in the given situation would be the climate condition.

In my opinion computer model is a useful and informative tool in analyzing the population growth curves of any organism. In most of the cases, the computer model for population growth studies is logical.