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Chapter 23: The Economics of Resources Lesson Plan Growth Models for Biological Population How Long Can a Nonrenewable Resource Last? Radioactive Decay Sustaining Renewable Resources The Economics of Harvesting Resources Dynamical Systems and Chaos Mathematical Literacy in Today’s World, 9th ed. For All Practical Purposes © 2013 W. H. Freeman and Company

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  • Chapter 23: The Economics of Resources

    Lesson Plan

    Growth Models for Biological

    Population

    How Long Can a Nonrenewable

    Resource Last?

    Radioactive Decay

    Sustaining Renewable Resources

    The Economics of Harvesting

    Resources

    Dynamical Systems and Chaos

    Mathematical Literacy in Today’s World, 9th ed.

    For All Practical Purposes

    © 2013 W. H. Freeman and Company

  • Chapter 23: The Economics of Resources

    Growth Models for Biological Population

    Growth Models Geometric growth model is

    used to make rough estimates about sizes of human populations.

    Birth, death, and migration rates rarely remain constant for long, so projections must be made with care. Using the model for short-term projections may be useful.

    Rate of Natural Increase The annual birth rate minus the annual death rate.

  • Chapter 23: The Economics of Resources

    Growth Models for Biological Population

    Predicting the U.S. Population The U.S. population increased at

    an average growth rate of 0.95% per year to 310.5 million at the beginning of 2011. What is the anticipated population at the beginning of 2015?

    Answer: Apply the compound interest formula, A = P(1 + r)n with P = 310.5 million, r = 0.0095, and n = 4.

    Using Compound Interest

    Formula for Population

    Growth –

    A = P (1 + r) n

    Where:

    A = Amount owed after interest is added (future population amount after growth rate)

    P = Principal amount (initial population)

    r = Interest (growth) rate

    n = Years where r (growth) rate is applied

    4. 2015 310,500,000 1 0.0095

    310,500,000 1.0385

    322,000,000

    Pop in

  • Chapter 23: The Economics of Resources

    Growth Models for Biological Population

    Limitations on Growth Population growth is eventually constrained by the availability of

    resources such as food, shelter, and psychological and social “space.”

    Carrying capacity of the environment is the term for the maximum population size that can be supported by the available resources.

    Logistic Model A particular population model that begins with near-geometric

    growth but then tapers off toward a limiting population (the carrying capacity).

    The logistic model reduces the annual increase r P by a factor of how close the population size P is to the carrying capacity M:

    Growth rate

    population size PP = rP 1 - = rP 1 -

    carrying capacity M

  • Chapter 23: The Economics of Resources

    How Long Can a Nonrenewable Resource Last?

    Nonrenewable Resource A resource that does not tend to replenish itself and of which

    only a fixed supply S is available.

    Important examples include gasoline, coal, and natural gas.

    Example: How long will the supply of a resource last?

    As long as the rate of use of the resource remains constant; say, for example, we use a constant U units per year, then the supply will last S/U years.

    Example: U.S. recoverable coal reserves will last 250 years.

    For most resources, its consumption or rate of use tends to increase with population and with a higher standard of living.

    To determine how long the supply will last, we can manipulate the savings formula (similar to making regular withdrawals [with interest] from a fixed supply of the nonrenewable resources).

    The terms we use to describe this calculation are referred to as the static reserve and the exponential reserve.

  • Chapter 23: The Economics of Resources

    How Long Can a Nonrenewable Resource Last?

    Static Reserve Static reserve is how long the supply S will last at a particular

    constant annual rate of use U.

    The length of time that a static reserve will last is S/U years.

    Exponential Reserve Exponential reserve is how long the supply S will last at an

    initial rate of the use U that is increasing by a proportion r each year.

    This length of time (the number of years, n) is determined by evaluating the following expression:

    Where ln is the natural logarithm and can be evaluated easily on a calculator.

    years

    ln 1 + S/U rn =ln 1 + r

  • Chapter 23: The Economics of Resources

    Radioactive Decay

    Radioactive materials are characterized by exponential

    decay (geometric growth with a negative rate of growth)

    Decay Constant

    The decay constant, λ, for a substance decaying exponentially is the proportion of the substance that decays per unit of time.

    For an original amount P, the amount A remaining after t time

    units is:

    Half-life

    The half-life of a substance is the amount of time that it would

    take for one-half of the quantity to decay.

    -λtA= Pe

    7

  • Chapter 23: The Economics of Resources

    Radioactive Decay

    Decay Constant and Half-life Relationship

    For a substance with half-life H and decay constant λ, the following relationship holds:

    Example: The half-life of carbon-14 is 5730 years. Find the decay constant λ.

    Solution:

    ln2 0.693 Hλ

    4

    ln2

    5730 ln2

    ln2 0.6931.209 10 .0001209 / yr

    5730 5730

    8

  • Chapter 23: The Economics of Resources

    Sustaining Renewable Resources

    Renewable Natural Resource A resource that tends to replenish itself (fish, wildlife, and forests).

    We would like to know how much we can harvest and still allow for the resource to replenish itself.

    We concentrate on the subpopulation with commercial value.

    We measure the population size as its biomass.

    Biomass is the physical mass of the population and is written in common units of equal value.

    Examples of biomass can be measuring fish in pounds rather than in number of fish and in forests counting the number of board feet of usable timber rather than the number of trees.

    Reproduction Curves A curve that shows population size in the next year plotted

    against population size in the current year.

    We use this curve to predict next year’s population size (biomass) based on this year’s size.

  • Chapter 23: The Economics of Resources

    Sustaining Renewable Resources

    Reproduction Curves For each x-value (the

    point on the horizontal axis that represents this year’s population), a corresponding y-value exists that is the height of the curve at that x-value. The y-value is a function of x f (x) and is the prediction of what next year’s population will be, which takes into account the following: Continuing members

    Addition of new members

    Minus losses due to death and other factors

  • Chapter 23: The Economics of Resources

    Sustaining Renewable Resources

    Equilibrium Population Size Equilibrium population size does not change from year to year.

    The harvest yield depends on both the population x (of fish, lumber, etc.) and the amount of effort to harvest the population.

    The population size xe is the equilibrium population size, for which the population one year later is the same, or

    f (xe) = xe

  • Chapter 23: The Economics of Resources

    Sustaining Renewable Resources

    Sustained-Yield Harvesting Policy A policy that if continued

    indefinitely will maintain the same yield.

    For a sustainable yield, the same amount is harvested every year and the population remaining after each harvest is the same.

    To achieve this stability, the harvest must exactly equal the natural increase each year, the length of the green vertical line.

    Maximum Sustainable Yield

    The maximum sustainable yield is obtained by selecting an x-value whose colored vertical line is as long as possible, marked xM.

  • Chapter 23: The Economics of Resources

    The Economics of Harvesting Resources

    Harvesting Resources We assume that the price p received is the same for each

    harvested unit and does not depend on the size of our harvest.

    We assume that our operation is a small part of the total market and does not affect the overall supply and hence price.

    Example: Cattle Ranching

    We assume that the cost of raising and bringing a steer to market is the same for every steer and does not depend on how many steers we bring to market (i.e., there is no volume discount).

    As long as the selling price per unit is higher than the harvest cost per unit, we make a profit.

  • Chapter 23: The Economics of Resources

    The Economics of Harvesting Resources

    Harvesting Resources Example: Fishing and Logging We assume that the cost of harvesting a unit of the population

    decreases as the size of the population increases—this is the principle of economy of scale (similar to volume discounts).

    For example, the same fishing effort may yield more fish when the fish just happen to be more abundant. Also, the logger’s costs per tree are less when the trees are clumped together.

    Above a certain population size where the unit cost curve intersects the unit price curve, a profit is possible.

  • Chapter 23: The Economics of Resources

    Dynamical Systems and Chaos

    Dynamical Systems

    Useful in modeling systems (such as populations)

    Depends largely on previous states

    A dynamical system is a mathematical model for a system whose state evolves with time and whose future states depend deterministically on its present and past states.

    A system is deterministic if its changes through time depend only on natural and mathematical laws and are not substantially affected by chance or free will (e.g., The path of a golf putt).

    15

  • Chapter 23: The Economics of Resources

    Dynamical Systems and Chaos

    Mathematical Chaos Chaos is generally confusion, unpredictability, and apparent

    randomness.

    Mathematicians and other scientists use the word to describe systems whose behavior over time is inherently unpredictable.

    A dynamical system exhibits chaos if it is:

    Orbitally dense―any state is near one that eventually will recur

    Transitive―from any state you can eventually get close to any other.

    Sensitive―a small change in the initial state can produce widely diverging results later. This is known as the butterfly effect.

  • Chapter 23: The Economics of Resources

    Dynamical Systems and Chaos

    Mathematical Chaos

    Butterfly Effect

    A small change in initial conditions of a system can make an enormous difference later on.

    Iterated Function Systems (IFS)

    A sequence of elements (numbers or geometric objects) in which the next element is produced from the previous one according to a function rule.

    It just means that we take an initial value, apply a function to it, then repeat it over and over.

    This is exactly what we did earlier, geometrically, with reproduction curves for population.