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Ecology and Environmental Problems

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Ecology and Environmental Problems Dr. Ron Chesser Lecture #2 - 22 Jan. 04 Science, Decision-making processes, social systems & society. – PowerPoint PPT presentation

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Title: Ecology and Environmental Problems


1
Ecology and Environmental Problems
  • Dr. Ron Chesser Lecture 2 -
  • 22 Jan. 04
  • Science, Decision-making processes, social
    systems society.
  • READING
  • Chapters 1 2

2
Can science ever really prove anything?
  • Yes and no. It depends on what you mean by
    "prove".
  • Theories may change as our abilities to observe
    (measure) improve.

3
What is Occam's Razor?
  • Occam's Razor is the principle proposed by
    William of Ockham in the fifteenth century that
    "entities should not be multiplied
    unnecessarily".
  • In more modern terms, if you have two theories
    which both explain the observed facts then you
    should use the simplest until more evidence comes
    along.

4
Science and the Secular Universe
  • Science does not make moral judgments. One can
    not draw moral lessons from the laws of nature.
  • Evolution in particular seems to suffer from
    this. At one time or another it seems to have
    been used to justify Nazism, Communism, and every
    other -ism in between.
  • These justifications are all completely false.
    Similarly, anyone who says "evolution theory is
    evil because it is used to support Communism" (or
    any other -ism) has also strayed from the path of
    Logic.

5
What is Dogma?
  • Dogma is a statement or concept that is presented
    as accepted theory or fact, but has not been
    rigorously tested.
  • Dogma is usually widely accepted.
  • Dogma is prevalent in science and society.

6
Faith vs Theory
  • Faith, defined as belief that does not rest on
    logical proof or material evidence, does not
    determine whether a scientific theory is adopted
    or discarded.
  • One does not question faith.
  • A theory must be falsifiable''

7
Where is the Truth?
  • There IS a truth. The universe behaves in a real
    way that may be difficult to observe, measure,
    and predict. We have two choices to explain the
    behavior of the universe
  • To adhere to a stated belief without question
  • To build hypotheses, experimentation, and
    theories that explain the observations
  • Neither approach guarantees the truth is found.

8
Did Mendel cook the books?
  • Gregor Mendel was a 19th Century monk who
    discovered the laws of inheritance (dominant and
    recessive genes etc.). More recent analysis of
    his results suggest that they are "too good to be
    true". It seems from Mendel's raw data that
    chance played a smaller part in his experiments
    than it should. This does not imply fraud on the
    part of Mendel.
  • First, the experiments were not "blind". Deciding
    whether a particular pea is wrinkled or not needs
    judgement, and this could bias Mendel's results
    towards the expected. This is an example of the
    "experimenter effect".
  • Second, Mendel's Laws are only approximations. In
    fact, in some cases inheritance is less random
    than his Laws state.
  • Third, Mendel might have neglected to publish the
    results of failed' experiments. It is
    interesting to note that all 7 of the
    characteristics measured in his published work
    are controlled by single genes. He did not report
    any experiments with more complicated
    characteristics. Mendel later started experiments
    with a more complex plant, hawkweed, could not
    interpret the results, got discouraged and
    abandoned plant science.

9
Evidence, evidence, evidence
  • If you have an idea, remember that the burden of
    proof is on you.
  • Science is not easy. It is a demanding
    discipline that is governed by skeptics who
    require rigorous experimentation. (manuscripts,
    seminars, teaching, books)
  • a
  • b

10
Scientific Manuscript
  • Abstract (Summary)
  • Introduction -- Description of the problem
    (observation). Statement of the Hypothesis(es).
  • Methods and Materials Complete description of
    methods used and materials needed.
  • Results Statement of results of methods.
  • Discussion What the results likely mean.
    Support for or rejection of hypotheses.
  • Acknowledgements Who helped in the study.
  • Literature Cited Previously published
    manuscripts that the authors used to support or
    build their ideas.

11
Experimenter Effect
  • Sometimes you see what you expect to see
  • Sometimes you see what you want to see
  • Sometimes you see what you are told to see
  • Sometimes you see what you are paid to see

12
How do you avoid Experimenter Effect?
  • Blind Study
  • Randomly assign samples where the experimenter
    doesnt know what the groups are
  • No one is aware of results until end of study
  • Group Shift
  • Change the groups so that the experimenter
    thinks one group is the other
  • Replicate Experimentation
  • Different groups analyze the same samples

13
Science vs Technology
  • Science is the search for knowledge through a
    systematic method of the study of variation
  • Technology is the application of science to make
    products or processes

14
What Does Society Need?
  • Advanced Education and Training
  • Energy Resources
  • Natural resources (materials)
  • Transportation and Communication
  • Industry, Finance and Technology
  • People who passionately support and defend the
    society
  • Mechanisms for making decisions (who/how)
  • Judicial Police System (Crime Punishment)

15
Especially since 1960, several developments have
dramatically reduced infant and child mortality
throughout the world
  • the use of DDT to eliminate mosquito-borne
    malaria
  • childhood immunization programs against cholera,
    diphtheria and other often-fatal diseases
  • antibiotics.
  • During the same period, the "Green Revolution"
    greatly boosted food output through the
    cultivation of new disease-resistant rice and
    other food crops, and the use of fertilizers and
    more effective farming methods.

16
r intrinsic rate of increase
Growth there are more born than die.
17
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18
Models of population growth
Exponential growth Nt Nt-1 rNt-1
N0er0t

tgeneration rintrinsic increase rate Nt
population size at time t. Nt-1population size
in prior generation N0initial population
size eexponential r0ln(1r)
N
t
19
Carrying Capacity
The theoretical number of individuals that can be
supported by the resources within an ecosystem.
20
Earths Resources
  • we have already transformed or degraded 39-50 of
    the Earth's land surface (agriculture, urban).
  • we use 8 of the primary productivity of the
    oceans.
  • we have increased atmospheric CO2 concentration
    by 30
  • we use more than half of the accessible surface
    fresh water
  • over 50 of terrestrial nitrogen fixation is
    caused by human activity (use of nitrogen
    fertilizer, planting of nitrogen-fixing crops,
    release of reactive nitrogen from fossil fuels
    into the atmosphere)
  • on many islands, more than half of plant species
    have been introduced by man on continental areas
    the fraction is 20 or more
  • about 20 of bird species have become extinct in
    the past 200 years, almost all of them because of
    human activity
  • 22 of marine fisheries are overexploited or
    depleted, 44 more are at the limit of
    exploitation

21
POPULATION AND AVAILABILITY OFRENEWABLE RESOURCES

22
Models of population growth
Logistic Population growth Nt
K/(1K-N0/N0e-rt)
tgeneration rintrinsic increase rate Nt
population size at time t. Kcarrying capacity
N0initial population size eexponential
N
K
t
23
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24
Human Population Growth Was Thomas Malthus
correct?
  • Practice problems
  • At the beginning of 2000, the human population
    had reached a size of 6,000,000,000. Assuming
    that r0.001 (the intrinsic rate of growth of
    Lithuania) and an exponential growth model, what
    will the size of the human population be in 2025?
  • Now, assuming the same information in A, but
    with r0.018 (the intrinsic rate of growth of
    Rwanda), use the exponential growth model to
    estimate the size of the human population in
    2025?
  • Using the information in Problem A, plus a
    hypothetical carrying capacity, K10,000,000,000
    for the earth, estimate the size of the human
    population in 2025, using the logistic growth
    model?
  • Repeat C, except assume that r0.018.

Press
Press
Press
Press
25
r 0.001 (as in Latvia)
26
r0.001 and r0.013
27
Rising Death Rates
  • In 1999 the Worldwatch Inst. reported that rising
    death rates are slowing world population growth
    for the first time since famine killed 30 million
    people in China in 1959-61.  Partly because of
    these rising death rates, the U.N. revised its
    estimate for world population in 2025 from 9.4 to
    8.9 billion.  Three factors are pushing the death
    rates up, especially in sub-Saharan Africa and
    the Indian sub-continent
  • the HIV epidemic - between a fifth and a quarter
    of adults are already infected in Zimbabwe,
    Botswana, Namibia, Zambia and Swaziland. In
    India, four million adults are now HIV positive,
    more than in any other country.
  • the depletion of aquifers - another serious
    problem in India, where water tables are falling
    annually by 1- 3 meters over much of the country.
  • shrinking cropland area per person. More than
    half of the children in India are already
    malnourished and underweight.  Dwindling cropland
    also threatens food security in Nigeria, Ethiopia
    and Pakistan.
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