To estimate the size of a population

To predict the future trajectory of a population

To identify the factors that are affecting a population

To develop strategies for managing a population

Habitat loss

Predation

Competition

Weather

Deterministic models assume that all parameters are constant, while stochastic models allow for variability.

Deterministic models are more accurate than stochastic models.

Stochastic models are more complex than deterministic models.

Deterministic models are used to predict the future trajectory of a population, while stochastic models are used to assess the risk of extinction.

The smallest population size that can persist over the long term without going extinct

The largest population size that can be supported by the environment

The average population size over a period of time

The population size at which the birth rate and death rate are equal

Population viability analysis is used to predict the future trajectory of a population, while risk assessment is used to identify the factors that are affecting a population.

Population viability analysis is used to assess the risk of extinction for a population, while risk assessment is used to identify the factors that are affecting a population.

Population viability analysis is used to develop strategies for managing a population, while risk assessment is used to identify the factors that are affecting a population.

Population viability analysis is used to assess the risk of extinction for a population, while risk assessment is used to predict the future trajectory of a population.

Lack of data

Uncertainty in parameter estimates

Complexity of models

All of the above

Conservation planning

Pest management

Fisheries management

All of the above

It helps us to understand the factors that are affecting a population.

It helps us to predict the future trajectory of a population.

It helps us to develop strategies for managing a population.

All of the above

It is often based on limited data.

It can be difficult to validate models.

It can be difficult to communicate results to decision-makers.

All of the above

Developing more sophisticated models

Improving data collection methods

Developing better ways to communicate results to decision-makers

All of the above