1.2 - Systems Flashcards

(26 cards)

1
Q

what is a systems approach

A

the term used to describe a method of simplifying and understanding a complicated set of interactions

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2
Q

two ways of studying systems

A
  • reductionist approach
  • hollistic approach
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3
Q

what is a reductionist approach

A

breaking a system down into its parts and studying each one individually

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4
Q

what is a hollistic approach

A

A holistic approach looks at all of the system’s processes and interactions as a whole

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5
Q

components of a system

A
  • storages
  • flows
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6
Q

processes in a system

A
  • transfers
  • transformations
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7
Q

what is a transfer

A

the movement of matter or energy from one component of the system to another without any change in form or quality

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8
Q

what is a transformation

A

a change in the form or quality of matter or energy as it moves through the system

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9
Q

how are storages and flows drawn in a systems diagram

A

storages - shape with clear boundaries e.g. rectangle

flows - arrows

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10
Q

what are emergent properties

A

properties of a system that appear as individual system components interact; the components themselves do not have these properties

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11
Q

what are open systems

A

when both energy and matter are exchanged between the system and its surroundings. Most systems are open systems

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12
Q

what are closed systems

A

Energy, but not matter, is exchanged between the system and its surroundings

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13
Q

what are isolated systems

A

Neither energy nor matter are exchanged between the system and its surroundings. Isolated systems do not exist naturally.

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14
Q

what are systems

A

structures made up of interconnected parts that work together towards a common goal or function

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15
Q

what is the Gaia Hypothesis

A
  • The Gaia hypothesis, initially proposed by James Lovelock, presents a holistic view of the Earth as a single, self-regulating system
  • Lovelock proposed that Earth’s biota (living organisms) and their environment are closely linked and act together as an integrated system
  • His theory suggests that feedback mechanisms within Earth’s systems help maintain stability and balance on a global scale
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16
Q

what is an equillibrium

A

a state of balance occurring between the separate components of a system

17
Q

what is a steady-state equilibrium

A
  • A steady-state equilibrium occurs when the system shows no major changes over a longer time period, even though there are often small, oscillating changes occurring within the system over shorter time periods
  • These slight fluctuations usually occur within closely defined limits and the system always returns to its average state`
18
Q

what is static equilibrium

A

There are no inputs or outputs (of energy or matter) to the system and therefore the system shows no change over time

19
Q

what are negative feedback loops

A

Negative feedback is any mechanism in a system that counteracts a change away from equilibrium
- Negative feedback loops occur when the output of a process within a system inhibits or reverses that same process in a way that brings the system back to its average state
- In this way, negative feedback is stabilising—it counteracts deviation from equilibrium
- Negative feedback loops stabilise systems

20
Q

what are positive feedback loops

A
  • Positive feedback is any mechanism in a system that leads to additional and increased change away from equilibrium
  • Positive feedback loops occur when the output of a process within a system feeds back into the system in a way that moves the system increasingly away from its average state
  • In this way, positive feedback is destabilising—it amplifies deviation from equilibrium and drives systems towards a tipping point where the state of the system suddenly shifts to a new equilibrium
21
Q

what is a tipping point

A

Tipping points are a point at which an ecosystem can no longer cope with environmental change, and the ecosystem suddenly shifts from one state to another, away from equilibrium

22
Q

what is resilience

A

the system’s ability to maintain stability and avoid tipping points

23
Q

what is a model

A

a simplified version of reality

A model is often used to represent a system

24
Q

strengths of models

A
  • simplify complex systems
  • allow predictions to be made about how systems will react in response to change
  • System inputs can be changed to observe effects and outputs without the need to wait for real-life events to occur
  • Models are easier to understand than the real system
  • Results from models can be shared between scientists, engineers, and companies and communicated to the public
  • Results from models can warn us about future environmental issues and how to avoid them or minimise their impact
25
limitations of models
- Models can be oversimplified and inaccurate - Results from models depend on the quality of the data inputs going into them - Results from models become more uncertain the further they predict into the future - Different models can show vastly different outputs even if they are given the same data inputs - Results from models can be interpreted by different people in different ways - Environmental systems are often incredibly complex, with many interacting factors—it is impossible to take all possible variables into account
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