Toronto’s human population over time, based on population density. The population growth of Toronto is influenced by births and immigration and deaths and emigration. When Toronto’s population is below its carrying capacity, births and immigration are greater than deaths and emigration, therefore the population is increasing. As the population approaches carrying capacity, the growth rate slows and the population begins to level off. If the population exceeds carrying capacity, deaths and emigration can become greater than births and immigration, causing the population to decrease.

This shows the model of a human population at a scale from global to local and it is for Oshawa.

This model shows how the population of Whitby changes over time using logistic growth. Population growth is influenced by birth rate, death rate, migration rate, and an estimated carrying capacity. When the population is well below the carrying capacity, growth is faster. As the population approaches the carrying capacity, the population growth rate decreases.  

In this model I will be showcasing the human population in ajax for the next 100 years. The current population will be set to 127k and the max capacity will be 180k. You can simulate this model and see how the population will grow over 100 years.

A simple Energy Balance Climate Model of the Earth with no atmosphere.  Explore the impact of changing solar radiation, Earths albedo, and ocean heat capacity on the Earths temperature by using the sliders in the panel below.

The dynamics of a moose population with  birth and death rates that are the same year in and year out.

Tutorial Sep 18 exercise