Modelling Pop Growth Flashcards

1
Q

What is exponential growth

A

Unlimited growth of a population
Observed during initial colonization of unoccupied habitat.
Assumes closed population with no immigration or emigration

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2
Q

How to calc population growth rate

A

Birth rate - death rate = population growth rate
b - d = R

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3
Q

What’s doubling time.

A

Doubling time of a population is the time required for it to reach twice it’s current size given the current rate increase.
Species with higher r value have shorter doubling times

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4
Q

What does the logistic growth model describe

A

The effect of increasing density on population growth.

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5
Q

What happens as species density increases:

A

Competition for resources increase
Birth rate decrease
Death rate increase
Population growth slows down

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6
Q

What is logistic growth

A

Density dependent model - rate of population growth slows down as population size increases.
More realistic model of population growth over long time period.
Assumes closed population with no immigration and emigration.

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7
Q

When N = K

A

Population growth stops

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8
Q

What is stochasticity

A

When the values of r and k vary from year to year as birth and death rates fluctuate in response to environmental conditions.
Carrying capacity can also vary.

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9
Q

What is a stochastic model

A

In a stochastic model there are multiple outcomes, each has certain probability of occurrence.
Each parameter can vary around a specified mean.
Model is run multiple times to generate a set of outcomes.

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10
Q

Why do we incorporate variability in population models.

A

To increase realism of our population model we incorporate variability in the parameters.
This is informed by data from our population.

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11
Q

What population projections can be included to incorporate variability in a population model.

A

A margin of error to reflect natural variability.
Different projections for different scenarios.

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12
Q

What do population growth models describe.

A

They describe mathematically how population size changes over time.

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13
Q

Applications of logistic growth model:

A

Setting maximum sustainable yield reference points in fisheries management.

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