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Title: Systems and Models


1
TOPIC 1
  • Systems and Models

2
  • IB Material Calculations
    TOK Link ICT Link

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1.1.1 Concept and characteristics of a system
  • A system is a collection of well-organised and
    well-integrated elements with perceptible
    attributes which establish relationships among
    them within a defined space delimited by a
    boundary which necessarily transforms energy for
    its own functioning.
  • An ecosystem is a dynamic unit whose organised
    and integrated elements transform energy which is
    used in the transformation and recycling of
    matter in an attempt to preserve its structure
    and guarantee the survival of all its component
    elements.
  • Although we tend to isolate systems by delimiting
    the boundaries, in reality such boundaries may
    not be exact or even real. Furthermore, one
    systems is always in connection with another
    system with which it exchanges both matter and
    energy.
  • TOK Link Does this hold true for the Universe?

5
System B
Boundary
Relationships
E 3
E 1
E 2
Systems A
System C
Elements
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A natural system Ecosystem
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1.1.2 Types of systems (1)
  • There are three types of systems based on
  • whether they exchange energy and/or matter
  • Isolated System
  • It exchanges neither energy nor matter
  • Do isolated systems exist?

8
1.1.2 Types of systems (2)
  • Closed System
  • Energy System
    Energy
  • It only exchanges energy.

9
1.1.2 Types of systems (3)
  • Open System
  • Energy
    Energy
  • System
  • Matter
    Matter
  • It exchanges both energy and matter.

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Understanding of 1st 2nd laws of thermodynamics
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1.1.4 Laws of Thermodynamics
  • 1st Law of Thermodynamics
  • The first law is concerned with the conservation
    of energy and states that energy can not be
    created nor destroyed but it is transformed from
    one form into another.
  • With no energy transformation there is no way to
    perform any type of work.
  • All systems carry out work, therefore all systems
    need to transform energy to work and be
    functional.

In any process where work is done, there has
been an energy transformation.
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First Law of Thermodynamics

  • ENERGY 2

  • PROCESS
  • ENERGY 1 (WORK)

  • ENERGY 3

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Photosynthesis an example of the First Law of
Thermodynamics Energy Transformation
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Photosynthesis and the First Law of Thermodynamics

  • Heat Energy
  • Light Energy

  • Chemical Energy

Photosynthesis
20
The 2nd Law of Thermodynamics
  • The second law explains the dissipation of energy
    (as heat energy) that is then not available to do
    work, bringing about disorder.
  • The Second Law is most simply stated as, in any
    isolated system entropy tends to increase
    spontaneously. This means that energy and
    materials go from a concentrated to a dispersed
    form (the capacity to do work diminishes) and the
    system becomes increasingly disordered.

21
Life and Entropy
  • Life, in any of its forms or levels of
    organization, is the continuous fight against
    entropy. To keep order, organization and
    functionality, living organisms must used energy
    and transform energy.
  • Living organisms use energy continuously in order
    to maintain everything working properly. If
    something is not working properly, living
    organisms must make adjustments so as to put
    things back to normal. This is done by negative
    feedback mechanism.
  • What is really life? What do we live for? What is
    out purpose?

22
The Second Law of Thermodynamics can also be
stated in the following way
  • In any spontaneous process the energy
    transformation is not 100 efficient, part of it
    is lost (dissipated) as heat which, can not be
    used to do work (within the system) to fight
    against entropy.
  • In fact, for most ecosystems, processes are on
    average only 10 efficient (10 Principle), this
    means that for every energy passage
    (transformation) 90 is lost in the form of heat
    energy, only 10 passes to the next element in
    the system.
  • Most biological processes are very inefficient in
    their transformation of energy which is lost as
    heat.
  • As energy is transformed or passed along longer
    chains, less and less energy gets to the end.
    This posts the need of elements at the end of the
    chain to be every time more efficient since they
    must operate with a very limited amount of
    energy.
  • In ecological systems this problem is solved by
    reducing the number of individuals in higher
    trophic levels.

23
Combustion Cell Respiration two examples that
illustrate the 1st and the 2nd laws of
Thermodynamics
Chemical Energy (sugar)
100 J
100 J
Chemical Energy (petrol)
ATP
PROCESS Combustion 20 J
PROCESS Cell Respiration 40 J
Heat Energy
60 J
Heat Energy
80 J
24
The Second Law of Thermodynamics in numbers The
10 Law
  • Heat Heat
    Heat
  • 900 J 90 J
    9 J
  • Energy 1 Process 1 Process 2
    Process 3
  • 1000 J 100 J 10 J
    1 J
  • J Joule SI Unit of Energy
  • 1kJ 1 Kilo Joule 1000 Joules

For most ecological process, theamount of energy
that is passed from one trophic level to the next
is on average 10.
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  • (d) Calculate the percentage () of the solar
    energy received by plants which remain available
    for herbivores?

    2
  • (e) Which energy transformation chain is more
    efficient? Support your answer with relevant
    calculations.

    3

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Systems
  • 1. Which row contains correct statements about
    exchanges between open and closed systems and
    their surroundings?
  • Open system Closed system
  • A. Exchanges matter but not energy Exchanges
    neither matter nor energy
  • B. Exchanges matter but not energy Exchanges
    energy but not matter
  • C. Exchanges energy but not matter Exchanges
    neither matter nor energy
  • D. Exchanges matter and energy
    Exchanges energy but not matter

29
Thermodynamics
  • 2. The change in a systems internal energy is
    equal to the energy absorbed by the system minus
    the energy released into its surroundings. This
    statement best illustrates
  • A. the law of conservation of mass.
  • B. the first law of thermodynamics.
  • C. the second law of thermodynamics.
  • D. the third law of thermodynamics.

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Negative Feedback
  • 3. Which is an example of negative feedback?
  • A. An increase in air temperature increases the
    rate of melting of the Earths ice caps, thus
    decreasing the reflection of solar radiation.
  • B. An increase in a herbivore population,
    leading to overgrazing and thus to a decline in
    the herbivore population.
  • C. An increase in human birth rate compared with
    death rate leading to exponential increase in the
    human population.
  • D. A loss of vegetation leads to soil erosion
    and thus further loss of vegetation occurs.

31
Transfer Process
  • 4. Which of the following is a transfer process /
    are transfer processes?
  • I. Deposition of sand by waves on beaches
  • II. Organic matter entering the ocean
  • III. Decomposition of organic matter at the
    bottom of a lake
  • IV. Run-off of water from land to rivers
  • A. I and IV only
  • B. III only
  • C. I, II and IV only
  • D. I, II, III and IV

32
Photosynthesis and the 2nd law of Thermodynamics
What is the efficiency of photosynthesis?
33
Primary Producers and the 2nd law of
Thermodynamics
(Output)
(Output)
(Output)
34
Consumers and the 2nd law of Thermodynamics
How efficient is the cow in the use of the food
it takes daily?
35
The Ecosystem and the 2nd law of Thermodynamics
What determines that some ecosystems are more
efficient than others?
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500
0.75
10,000
1000
100
15
11.25
37
Sealevel Changes
The graph below shows changes in the sea level on
the island of Oahu in the Hawaiian Islands,
Pacific Ocean, over the last century. Zero
represents the mean sea level in 1950. (a)
Describe and discuss possible explanations for
the shape of the curve in the graph.
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IB Question
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IB Question
41
IB Question
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IB Question
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1.1.5 The Steady State
  • The steady state is a common property of most
    open systems in nature whereby the system state
    fluctates around a certain point without much
    change of its fundamental identity.
  • Static equilibrium means no change at all.
  • Dynamic equilibrium means a continuous move from
    one point to another with the same magnitude, so
    no net change really happens.
  • Living systems (e.g. the human body, a plant, a
    population of termites, a community of plants,
    animals and decomposers in the Tropical
    Rainforest) neither remain static nor undergo
    harmonic fluctuations, instead living systems
    fluctuate almost unpredictably but always around
    a mid value which is called the steady state.

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Static Equilibrium
STATE OF THE SYSTEM
Dynamic Equilibrium
Steady State
TIME
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1.1.6 Positive and Negative Feedback Mechanisms
  • Natural systems should be understood as
    super-organisms whose component elements react
    against disturbing agents in order to preserve
    the steady state that guarantees the integrity of
    the whole system.
  • The reaction of particular component elements
    of the systems againts disturbing agents is
    consider a feedback mechanism.
  • Feedback links involve time lags since
    responses in ecosystems are not immediate!

48
Positive Feedback
Sun
  • Positive feedback leads to increasing change in a
    system.
  • Positive feedback amplifies or increases change
    it leads to exponential deviation away from an
    equilibrium.
  • For example, due to Global Warming high
    temperatures increase evaporation leading to more
    water vapour in the atmosphere. Water vapour is a
    greenhouse gas which traps more heat worsening
    Global Warming.
  • In positive feedback, changes are reinforced.
    This takes ecosystems to new positions.

Atmosphere
Water Vapour


Global
Heat Energy
Evaporation
Warming


Oceans
49
Negative Feedback
Population of Lynx
-
-
  • Negative feedback is a self-regulating method of
    control leading to the maintenance of a steady
    state equilibrium.
  • Negative feedback counteracts deviations from the
    steady state equilibrium point.
  • Negative feedback tends to damp down, neutralise
    or counteract any deviation from an equilibrium,
    and promotes stability.

Population of Hare
In this example, when the Hare population
increases, the Lynx population increases too in
response to the increase in food offer which
illustrates both Bottom-Up regulation and
Positive Feedback. However, when the Lynx
population increases too much, the large number
of lynxes will pray more hares reducing the
number of hares. As hares become fewer, some
lynxes will die of starvation regulating the
number of lynx in the population. This
illustrates both Top-Down and negative Feedback
regulation.
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Negative feedback an example of population
control
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Positive Negative Feedback

  • Population 1
  • Climate Food
    Population 2
  • -

  • Population 3



-

-
52
Positive Negative Feedback
  • Food
    Population

Positive feedback
Negative feedback
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Negative or Positive ?
  • Climate

  • Disease
  • Food
  • P1 P 2
    P3


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Bottom-Up Top-Down Control
  • In reality, ecosystems are controlled all the
    time by the combined action of Bottom-Up and
    Top-Down mechanisms of regulation.
  • In Bottom-Up regulation the availability of soil
    nutrients regulate what happens upwards in the
    food web.
  • In Top-Down regulation the population size
    (number of individuals) of the top carnivores
    determines the size of the other populations down
    the food web in an alternating way.

Plants
Ocean Food Webs - Bottom Up vs Top Down.flv Food
Web Bottom-Up Top-Down Middle Control
Worksheet.doc
Nutrient pool of the Soil
55
Positive and Negative Feedback
?

-
State of the Ecosystem
-

S2
S1
Time
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1.1.7 Transfer and Transformation Processes
  • Transfers normally flow through a system from one
    compartment to another and involve a change in
    location. For example, precipitation involves the
    change in location of water from clouds to sea or
    ground. Similarly, liquid water in the soil is
    transferred into the plant body through roots in
    the same liquid form.
  • Transformations lead to an interaction within a
    system in the formation of a new end product, or
    involve a change of state. For example, the
    evaporation of sea water involves the absorption
    of heat energy from the air so it can change into
    water vapour. In cell respiration, carbon in
    glucose changes to carbon in carbon dioxide.
    Ammonia (NH3) in the soil are absorbed by plant
    roots and in the plant nitrates are transformed
    into Amino acids. During photosynthesis carbon in
    the form of CO2 is changed into carbon in the
    form of Glucose (C6H12O6).These are just some
    example of transformations.

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1.1.8 Flows and Storages
  • Flows are the inputs and outputs that come in and
    out between component elements in a system. This
    inputs and outputs can be of energy or quantities
    of specific substances (e.g. CO2 or H2O).
  • Storages or stocks are the quantities that remain
    in the system or in any of its component elements
    called reservoirs.
  • For example, in the Nitrogen Cycle, the soil
    stores nitrates (stock) (NO3-) however some
    nitrates are taken away as such by run-off water
    and absorbed by plant roots (output flows) but at
    the same time rainfall brings about nitrates,
    human fertilization and the transformation of
    ammonia (NH3) in to nitrates maintain the nitrate
    stock in soil constant under ideal conditions.

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  • http//bcs.whfreeman.com/thelifewire/content/chp58
    /5802004.html

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IB Question
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O2
CO2
A simple model of an aquarium
Heat
CO2
Air
O2
CO2
O2
Primary Producers
Herbivorous animals
Aq Plant 1
Aq Plant 2
Carnivorous animal
Snail
Light
Algae
Flea
Phytoplankton
Heat
NO3
CO2
O2
Water
NO3
Decomposers
DOM
Mud
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Transfer, transformation, flows and storages(A
qualitative model)
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Transfer, transformation, flows and storages
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Transfer, transformation, flows and storages
  • http//bcs.whfreeman.com/thelifewire/content/chp58
    /5802001.html

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  • What can you identify in a
  • plant?
  • Transfer
  • Transformation
  • Flows
  • Storage

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1.1.9 Quantitative Models
  • A model is an artificial construction designed to
    represent the properties, behaviour or
    relationships between individual parts of the
    real entity being studied y order to study it
    under controlled conditions and to make
    predictions about its functioning when one or
    more elements and /or conditions are changed.
  • A model is a representation of a part of the real
    world which helps us in ex situ studies.
  • For example, the Carbon Cycle on the next slide
    is a quantitative model showing how carbon flows
    from one compartment to another in our planet.
    The width of the arrows are associated to the
    amount of carbon that is flowing. Figures next or
    on top of arrows indicate the amount of carbon in
    the flow. Similarly, figures inside boxes of
    compartments show the stocks or storages of
    carbon in each compartment.

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A quantitative model(The Carbon Cycle)
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A simplified model on how the ecosystem works
  • For an entire ecosystem to be in steady state, or
    for one of its components to be in steady state,
    the following must be achieved

The Steady State condition
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ES-Practice-Model Making Pastoral System in
Angola.pdf
IB Question
MODEL MAKING PASTORAL SYSTEM IN ANGOLA.ppt
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Models can be used to make predictions
The following model tries to explain the
ecological behaviour of a human communities.
MODELLING SYSTEMS Handout.doc
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1.10 Strengths and Limitations of Models
  • A model is a representation of part or the
    totality of a reality made by human beings with
    the hope that models can help us (i) represent
    the structural complexity of the reality in a
    simpler way eliminating unnecessary elements that
    create confusions, (ii) understand processes
    which are difficult to work out with the
    complexity of the real world, (iii) assess
    multiple interaction individually and as a whole
    (iv) predict the behaviour of a system within the
    limitations imposed by the simplification
    accepted as necessary for the sake of the
    understanding.
  • Models are simplifications of real systems. They
    can be used as tools to better understand a
    system and to make predictions of what will
    happen to all of the system components following
    a disturbance or a change in any one of them. The
    human brain cannot keep track of an array of
    complex interactions all at one time, but it can
    easily understand individual interactions one at
    a time. By adding components to a model one by
    one, we develop an ability to consider the whole
    system together, not just one interaction at a
    time. Models are hypotheses. They are proposed
    representations of how a system is structured,
    which can be rejected in light of contradictory
    evidence.
  • No model is a 'perfect' representation of the
    system because, as mentioned above, all models
    are simplifications and in some cases needed over
    simplifications. Moreover, human subjectivity may
    lead to humans to make models biased by scholar
    background, disregard of the relevance of some
    components or simply by a limited perception or
    understanding of the reality which is to be
    modeled.
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