1.2 - systems, tipping points, feedback loops, resilience, models

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Last updated 8:32 AM on 3/20/26
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24 Terms

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system

sets of inter-related parts working together to make a functioning whole

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storages

stock of matter and energy within a system

  • represented by boxes

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flows

movement of matter and energy form one storage to another/ in and out of systems

  • transfers → change in location of energy/matter

  • transformations → change in the chemical nature, state or energy

*transfers and transformations require energy

  • represented by arrows

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boundary

limit that defines the extent of a system, distinguishing it from its environment.

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input

matter or energy entering the system

to be processed or transformed.

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output

matter or energy that exits the system after processing or transformation.

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types of systems

  • open system

  • closed system

  • isolated system

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open system

exchanges energy and matter across the boundaries (majority of systems)

  • organic

  • natural forest ecosystem

  • human body

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closed systems

exchanges energy but not matter across boundaries (very rare)

*Earth can be considered an ALMOST closed system

  • Biosphere 2 - closed system

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isolated systems

exchange no energy or matter

  • doesn’t occur naturally

  • thermos flask

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latent heat loss

as organisms respire they are loosing majority of their heat into their surroundings

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emergent properties

are characteristics of a system that arise from the interactions of its components, which cannot be predicted by simply analyzing each part individually.

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Earth, as a single integrated system, consists of

  • biosphere

    • all parts where life exists

  • lithosphere

    • crust, middle and center of Earth

  • atmosphere

    • storage of gases

  • cryosphere

    • frozen water parts of Earth

  • hydrosphere

    • water mass on, under and over planet’s surface

  • anthroposhpere

    • human-influenced environments, including urban areas and agricultural lands.

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Gaia hypothesis - James Lovelock

  • to explain how atmospheric composition and temperatures are interrelated through feedback mechanisms

  • model of Earth as a single integrated system

  • based on Earth’s consistency over the years

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equilibrium types

  • stable equilibrium

    • return to original equilibrium

  • unstable equilibrium

    • return to new equilibrium after disturbance

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feedback loops

stable equilibrium

  • negative feedback loop

    • restricting or reversing a process to bring ecosystem back to original stable equilibrium

→ increased temperature → higher evaporation → clouds forming → cooling

unstable equilibrium

  • positive feedback loop

    • amplifies changes in a system, leading ecosystem away from original equilibrium

→ melting of ice caps → gases released into atmosphere → higher temperatures → melting

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real world examples of feedback loops

negative feedback loop

  • predator-prey model

    • predator = prey = predator = prey

  • Daisyworld model

positive feedback loop

  • melting of ice caps → gases released into atmosphere → higher temperatures → melting

  • birthrates = poverty = birthrates

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tipping points

minimum amount of change that will cause a significant shift in a system's state

  • positive feedback loop

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resilience

ability of a system to respond to disturbances and still maintain its core functions and structures.

  • tendency to avoid tipping points and maintain stability

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factors affecting resilience

  • species diversity (more better)

  • wider gene pool (bigger better)

  • species that can shift location

  • warmer climates (better as growth is faster)

  • reproductive rates

  • human activity (more is bad)

  • sizes of storages

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model

simplified representation of reality

  • to understand how a system works

  • to predict its response to change

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advantages of models

  • simplifying a complex reality

  • identifying patterns

  • predicting future changes

  • can visualize both big and small systems

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disadvantages of models

  • loss of accuracy due to simplification and approximations

  • may give very different results from actual data or other predictions

    • limited ability to capture dynamic interactions and unexpected behaviors

  • simplifies sizes of inputs and outputs

  • huge field for mistakes is assumptions are wrong

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example of failed model

Imperial Collage, Ferguson’s Covid-19 model

  • death toll was significantly over-exaggerated by 1000s of % points

  • Sweden as natural experiment disproved the model

  • model was used to justify global lockdowns leading to many negative consequences for societies

    • over-reliance of governments on inaccurate model

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