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.
Solution
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.
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..
report “Rabbits and Wolves”Discuss the changes in parameters and how.pdf
1. 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.
Solution
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.
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
2. 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.
