1.2 - Systems

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31 Terms

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System

Made of individual parts working together to perform a particular function

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Systems Approach

is a holistic approach to visualise a complex set of interactions

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Emergent Properties

The properties of a complex system that arise from the simple interactions of its component parts.
(the whole is greater than the parts)

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What is a system made out of

A system is comprised of storages and flows
The flows provide inputs and outputs of energy and matter.

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Types of flows?

Transfer - change in location
Transformation - change in state/chemical composition/energy type

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Open system

Energy + matter freely exchanged with environment
(All ecosystems come under this)

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closed system

Exchange only energy with the environment
Very rare and usually only exist experimentally

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Isolated System

Exchanges neither matter nor energy
Hypothetical
The entire Universe as a system can be considered an isolated system

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Model



  • Simplified representation of a complex matter


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How would you answer: Evaluate the use of models as a tool in a given situation

-State what the model is
-State advantages
-State disadvantages
-Give own judgement

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Biosphere

(all living organisms and their interactions)

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Hydrosphere

Earth's water bodies

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Cryosphere

Ice/snow covered areas

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Geosphere

Solid rock and minerals part of the Earth

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Atmosphere

the layers of gases immediately surrounding the earth

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Anthroposphere

Parts of the Earth that are affected by and interact with humans.

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The Gaia Hypothesis

  • The world acts like a single biological being made up of many individual and interconnected units (A SYSTEM ).

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


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Negative Feedback

Return a system to its original state
Stabilise systems as they reduce change by counteracting it

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Positive Feedback

Change a system to a new state
Destabilise systems as they increase change

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Resilience

is the tendency of a system to return to its original state after a disturbance

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Steady state equilibrium

  • Continuous inputs and outputs of energy and matter, but the system as a whole remains in a constant state

  • Maintained by stabilising negative feedback loops


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Static Equilibrium

  • No inputs or output of matter or energy (isolated systems)

  • No changes in the system over time

  • If there is a disturbance the system will adopt a new equilibrium


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A stable equilibrium

Tends to return to the same equilibrium after a disturbance

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Unstable Equilibrium

The system returns to a new equilibrium after a disturbance

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What increases resilience of a system?

  • More complex systems (more interactions)

  • Higher biodiversity (species and genetic)

  • Larger storages within systems

  • Higher productivity (and hence a larger storage)

  • Species with faster reproductive rates and wider geographical ranges



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How does complexity increase stability of a system?

Many flows between storages and feedback loops, a change is less likely to affect it.

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Example of system with low resilience

  • Irish potato famine - monoculture of potatoes all were affected by potato blight, people died from lack of food as they were extremely dependent on the food.


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Tipping point

Tipping point is minimum amount of change needed to cause destabilisation within a system; system then changes to new equilibrium.

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Issues with monitoring tipping points

  • Change in ecosystem is too far to stabilise it

  • Cannot be precisely predicted using models

  • Changes are long lasting and hard to reverse

  • The effects of processes can often take a long time to see (time lag)


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Benefits of a model

  • Easier to understand and communicate to public,

  • can make predictions on how system will change in future

  • can inform policy making better...


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Negatives of a model

  • Simplification = loss of accuracy

  • up to interpretation

  • complex environmental systems may not translate well to a model.