EVSP 342_Worksheet1_10Dec2023

pdf

School

American Military University *

*We aren’t endorsed by this school

Course

342

Subject

Mathematics

Date

Apr 3, 2024

Type

pdf

Pages

4

Uploaded by ProfessorMetalBarracuda4

Report
Worksheet 1 Instructions: Calculate the answers for the following questions and answer them below. Be sure to show your math. If you’d like to do this Worksheet in Excel rather than in Word, you are welcome to do that and attach it instead. Each question is worth 10 points, 5 for the answer itself and 5 for showing/explaining your work. Partial credit will be given where appropriate. 1. Given that a deer population of 50 animals is increasing at a rate r of 0.4, how many deer will be added to the population in the first year (at the end of N 0 )? Hint: The Malthusian exponential growth model is N t = N 0 + r N 0 , where r represents the rate of change in population size. N t = N 0 + r N 0 N 0 = 50 r = 0.4 N t = 50 + (0.4*50) N t = 50 + 20 N t = 70 Answer: 20 deer will be added to the population in the first year. 2. Using the Malthusian exponential growth model from question 1, what will the same deer population size be in another year, at the end of N 1 . Hint: N 0 is no longer 50. You will need to calculate the new N 0 accounting for the number of individuals added last year. N t = N 0 + r N 0 N 0 = 70 r = 0.4 N t = 70 + (0.4*70) N t = 70 + 28 N t = 98 Answer: 98 will be the deer population size in another year, at the end of N 1 . 3. What will the population be in 2 years, at the end of N 2 ? N 0 = 98 r = 0.4 t = 2 0.4*98=39.2 39+98=137
Answer: 137 will be the deer population size in 2 years, at the end of N 2 . 4. If N 0 =50 and r =0.2, what will the population size be after 5 time periods? N1=50+(0.2*50) 50+10=60 N2=60+(0.2*60) 60+12=72 N3=72+(0.2*72) 72+14.4=86.4=86 N4=86+(0.2*86) 86+17.2=103.2=103 N5=103+(0.2*103) 103+20.6=123.6=124 Answer: 124 will be the deer population size in 5 years. 5. You can see if you want to predict N into the far future, using the Malthusian exponential equation will be time consuming. For predicting N into the future, we tend to prefer the continuous growth model where N t =N 0 *e rt . Using this equation, calculate the predicted population size after 5 time periods given that N0=50 and r=-0.2. Hint: e is a mathematical constant. N t = N 0 * e rt N 0 = 50 e = 2.71828183 r = -0.2 t = 5 N t = 50 * 2.71828183 (-0.2*5) N t = 50 * 2.71828183 (-1) N t = 50 * 0.367879 N t = 18.39395 Answer: 18 will be the deer population size in 5 years. 6. Given that r=0.023 per year, what will the population size be in 2010 if N0=1370 in 2000? N t = N 0 * e rt N 0 = 1370 e = 2.71828183 r = 0.023 t = 10 N t = 1370 * 2.71828183 (0.023*10) N t = 1370 * 2.71828183 (0.23)
N t = 1370 * 1.2586 N t = 1724.282 Answer: 1,724 will be the deer population size in 2010. 7. Recall from the text that the time it takes for a population to double in size is calculated by the following equation: Doubling Time = 0.693/r. Using this equation, how many years will it take for the original population of deer (N 0 =50, r =0.40) to double? Doubling Time = 0.693/ r r =0.4 Time = 0.693/0.4 Time = 1.7325 = 2 rounded up Answer: 2 years it will take for the original population of deer to double. 8. A population with an r=-0.2 is decreasing. According to the model, will such a population ever reach zero? Is this realistic? Explain your answer. According to the Malthusian exponential growth model, a population with a negative growth rate would never theoretically reach zero over an infinite period. However, in reality, there are various factors that would prevent a population from reaching zero. The population models we have examined to this point are deterministic models as they assume things happen in a predictable way. But in nature, things are not usually so certain; they are more likely to be unpredictable. Especially in small groups of animals or plants that are isolated, random events can have a big impact on what happens to them over time. In these unpredictable models, the characteristics of a population change based on a certain pattern of randomness. This pattern has an average value (like an average population size), but it also has a range of possibilities around that average. For instance, in a predictable model, if we know how many animals or plants there are now and how they are growing, we can exactly predict how many there will be in the future. But in an unpredictable model, we can only estimate a range of possibilities for the future, each with its own likelihood. Big changes, like a population completely dying out or doubling in size in just one year, are more likely to happen in very small groups and since you cannot have fractions of living things in reality, a population is just as likely to stay the same size or grow by one individual in the next time period. 9. As a land or wildlife manager, when might these types of population change predictions be useful? Explain your answer.
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
  • Access to all documents
  • Unlimited textbook solutions
  • 24/7 expert homework help
As a land or wildlife manager, I would think that these types of population change predictions would be useful in understanding, evaluating, and helping with making informed decisions about the possible size of future populations and the likelihood of different outcomes would help develop more adaptive and realistic conservation strategies. They can assist with the knowledge of the possibility of a sudden increase or for populations that are at higher risk of decline from a predictable change and prioritize these interventions (i.e., preventing extinction, promoting population growth, anticipating how restored habitats may influence population dynamics, the impact of climate change, predicting the potential impact of hunting quotas, helping to set sustainable harvest levels, an invasive species threatening native wildlife, etc.). Overall, population change predictions can inform the development of policies related to hunting, habitat protection, and other human activities that impact wildlife. 10. What was the most interesting thing you have learned so far? Why is the most interesting to you? What I have found most interesting is that according to the mathematical models a population will tend to self-correct if not influenced by an outside source (i.e., disease, fire, flood, food shortage, etc.). Meaning that it will not exceed its carrying capacity or reach a population of zero. To me, this is interesting as it shows how nature has its way of self-leveling if left untouched.