Unit 1.3 Flashcards

(19 cards)

1
Q

First Law of Thermodynamics

A

States that energy is neither created nor destroyed (principle of conservation of energy)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

The second law of Thermodynamics

A

states that the entropy of an isolated system not in equilibrium will tend to increase over time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Entropy

A

A measure of the disorder of a system and it refers to the spreading out or dispersal of energy

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Example of entropy in photosynthesis and respiration

A
  • Low-entropy solar energy turns into higher-entropy chemical energy
  • Chemical energy turns into even higher-entropy mechanical energy and is ‘lost’ as heat
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Equilibrium

A

the tendency of the system to return to an original state following a disturbance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Steady-State Equilibrium

A

is a characteristic of open systems where the inflow and output of energy is constant over time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Examples of a steady-state equilibrium

A

A water tank, constant body temperature, etc.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Steady-state equilibrium is stabilized by what feedback?

A

Negative feedback

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Static Equilibrium

A

An equilibrium in which there is no change over time. It will only adapt a new equilibrium after a disturbance.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Examples of Static Equilibrium

A

Pile of rocks, building, non-living systems.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is an example of a system that may undergo long term changes to their equilibrium while retaining integrity in a system?

A

Succession

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Rapid change from human activities can affect

A

it can disturb system stability and bring unforeseen side-effects

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Positive Feedback

A
  • Positive feedback loops are destabilising as they serve to amplify change in the same direction.
  • This can drive a system toward a tipping point where a new equilibrium is adopted.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Example of Positive Feedback

A

Global warming leads to an increase in temperatures > this melts ice caps > the albedo in the region decreases > so more solar radiation is absorbed > leading to more infra-red radiation > leading to an increase in global temperatures… more ice melts etc

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Negative Feedback

A
  • Negative feedback loops are stabilising.
  • They occur when the output of a process inhibits or reverses the operation of the same process in such a way as to reduce change—it counteracts deviation
  • This self-regulation is homeostasis and explains stability in systems.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Example of Negative Feedback

A

There is an increase in global temperatures > this leads to more evaporation and cloud formation > the clouds reflect more solar radiation back to space > decreasing global temperatures

17
Q

What is a tipping point and how does it occur?

A

Inputs may start a positive feedback loop whereby the changes are amplified. Beyond a certain point, a tipping point is reached, and the system moves to a new alternative state in a new equilibrium.

18
Q

Give an example of a catastrophic tipping point leading to an alternative stable state

A

Coral bleaching can lead to a stable state where the coral is dead and the reef dies

Global warming may lead to an ice free arctic or “hot-house earth”

19
Q

Describe a non-catastrophic alternative stable state formation

A

It can also be the result of random stochastic differences that occur during the development of a system. Succession is thought to be able to result in many alternative stable states depending upon these stochastic differences, i.e. the climax community may be slightly different depending upon the inputs during the process of succession.