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Ecological Modelling > Lecture 3 > Flashcards

Lecture 3 Flashcards

1
Q

What is the primary goal of sensitivity analysis?

A
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2
Q

What is the process to check the sensitivity of parameters in a model?

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3
Q

How can you determine which parameter is most sensitive in a model?

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4
Q

What happens on Slide 5 of the presentation regarding sensitivity?

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5
Q

Why are at least 3 observations per parameter required for calibration?

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6
Q

What is overfitting in the context of modeling?

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7
Q

How does sensitivity analysis differ when initial conditions are unknown?

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8
Q

What is the difference between Local Sensitivity Analysis (Local SA) and Global Sensitivity Analysis (Global SA)?

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9
Q

What is the advantage of Global Sensitivity Analysis (Global SA)?

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10
Q

What is Latin Hypercube Sampling, and how does it relate to Global SA?

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11
Q

What is the main difference between Latin Hypercube Sampling and random sampling?

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12
Q

How does Global SA handle correlation between parameters?

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13
Q

Local vs Global SA

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14
Q

Global SA

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15
Q

What is the purpose of sensitivity analysis?

A

To identify parameters that most influence model predictions.

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16
Q

What is local sensitivity analysis?

A

An analysis that varies one parameter at a time to observe its effect on model output.

17
Q

What is global sensitivity analysis?

A

An analysis that varies multiple parameters simultaneously to understand their combined effects.

18
Q

What is Latin Hypercube Sampling (LHS)?

A

A method that divides the parameter space into intervals to ensure comprehensive parameter coverage.

19
Q

What is random sampling in sensitivity analysis?

A

A method that selects parameters randomly but may miss key interactions between variables.

20
Q

What is a condition number (CN)?

A

A measure of the sensitivity of state variables to parameter changes. High CN values indicate significant impact, while low CN values suggest minimal influence.

21
Q

What is overfitting in ecological models?

A

When a model fits noise rather than trends, leading to poor generalizability.

22
Q

What is the recommended number of observations per parameter to avoid overfitting?

A

Between 3 and 10 observations per parameter.

Ecological Modelling (14 decks)

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