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F. E. Smith has studied population growth for the water flea. \({ }^{35}\) Let \(N\) denote the population size. In one experiment, Smith found that \(G\), the rate of growth per day in the population, can be modeled by $$ G=\frac{0.44 N(228-N)}{228+3.46 N} $$ a. Draw a graph of \(G\) versus \(N\). Include values of \(N\) up to 350 . b. At what population level does the greatest rate of growth occur? c. There are two values of \(N\) where \(G\) is zero. Find these values of \(N\) and explain what is occurring at these population levels. d. What is the rate of population growth if the population size is 300 ? Explain what is happening to the population at this level.

Short Answer

Expert verified
The greatest rate of growth occurs near \( N = 114 \). Growth is zero at \( N = 0 \) and \( N = 228 \). At \( N = 300 \), the population is declining due to negative growth rate.

Step by step solution

01

Plot the Graph

First, we need to plot the graph of the function \( G = \frac{0.44 N(228-N)}{228+ 3.46 N} \) against \( N \) for values of \( N \) ranging from 0 to 350. Use a graphing tool or software that can handle rational functions efficiently. Analyze the shape of the graph to identify maximum or minimum points, intercepts, and asymptotic behavior.
02

Determine Maximum Rate of Growth

To find the population level where the greatest rate of growth occurs, we can look at the peak of the graph plotted in Step 1 or find the derivative of \( G \) with respect to \( N \), set it to zero, and solve for \( N \). This will give us the critical points, which can be further analyzed using the second derivative test to confirm maxima. The population level at this point is where the greatest rate of growth occurs.
03

Find Where Growth Rate is Zero

To find the values of \( N \) where \( G \) is zero, set the numerator in the formula \( 0.44 N(228-N) \) equal to zero and solve for \( N \). This gives us \( N = 0 \) and \( N = 228 \). These are the points where population growth halts. At \( N = 0 \), the population is extinct, and at \( N = 228 \), the population reaches carrying capacity.
04

Calculate Growth Rate at N = 300

Substitute \( N = 300 \) into the growth rate formula \( G = \frac{0.44 \cdot 300 (228 - 300)}{228 + 3.46 \cdot 300} \). Calculate the numerator and denominator separately, and then divide them to find \( G \). At \( N = 300 \), if \( G \) is negative, the population is declining at this level.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Understanding the Rate of Growth in Population Models
Population growth can often be understood by examining the rate of growth, generally represented as the function of population size. In our context, the rate of growth, denoted as \( G \), shows how fast the water flea population is increasing or decreasing per day. This concept helps us understand how swiftly a population changes at different sizes.
  • The rate of growth function \( G = \frac{0.44 N(228-N)}{228 + 3.46 N} \) is a rational function. It represents how the growth rate varies with the population size \( N \).
  • A positive \( G \) value indicates an increasing population, while a negative \( G \) signifies a declining one.
  • The rate of growth being zero means no change in the population size at that specific point.
To analyze \( G \), we plot its graph and observe its behavior across different population values. The shape and peak of the graph indicate how the rate changes, showing us critical dynamics of the population's behavior at various sizes.
Exploring the Concept of Carrying Capacity
The carrying capacity in a population model refers to the maximum population size that an environment can sustain indefinitely. It is a crucial concept that describes ecological limits.
  • In the given model, the carrying capacity is shown where the growth rate \( G \) is zero at \( N = 228 \).
  • This means that at \( N = 228 \), the environment is unable to support further growth of the water flea population, thus balancing the birth and death rates.
  • Beyond this point, any increase in population would result in scarcity of resources, preventing further population growth effectively.
Understanding carrying capacity helps us manage populations sustainably, ensuring that we don't overstep ecological limits, which is vital for conservation efforts.
Analyzing Critical Points for Maximum and Zero Growth
In any population growth model, determining the critical points is key to understanding the dynamics. Critical points are population sizes at which the rate of growth changes direction.
  • The critical points can be found where the derivative of the growth function \( G \) with respect to \( N \) equals zero.
  • For maximum growth, we look for the peak determined by setting the first derivative to zero and using the second derivative to confirm a maximum rather than a minimum.
  • The extreme points include when \( G = 0 \), such as at \( N = 0 \) (extinct population) and \( N = 228 \) (carrying capacity).
Identifying and analyzing critical points guides us in discovering optimal and limiting factors in population management plans.
The Role and Structure of Rational Functions
Rational functions are an essential component of understanding complex systems in mathematics and science. A rational function is the ratio of two polynomials, providing a robust tool for modeling various real-world phenomena.
  • In our model \( G = \frac{0.44 N(228-N)}{228 + 3.46 N} \), the function combines polynomial expressions for the numerator and the denominator, accounting for intricate population dynamics.
  • The structure of a rational function allows for phenomena such as asymptotes, which are values that the function approaches but never reaches.
  • This modeling method is ideal for showcasing relative growth rates, such as how carrying capacity impacts populations.
Understanding rational functions aids in deciphering complex biological and ecological interactions, allowing us to predict and respond to changes effectively.

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Most popular questions from this chapter

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