Star production was greater at the beginning of the universe, and has slowed down as lots of gases are now trapped in living stars. While this isn't true for every galaxy, this is a model simulating a galaxy where star formation rate is decreasing.
Everything is divided by 1 billion as to not have to simulate huge numbers.
Decelerating Star Formation over time
The dynamics of a moose population with constant birth and death rates.
And the moose go into rut, and then calves are born....
Bailey, R.C. 1982. The moose that I have known. Can.J.Zool. 67:101-112.
Clone of Moose Population Exponential Growth
This simple system displays the dynamics of a monkey population present in the tropical rainforests of Africa, with constant birth and death rates.
Note: As this is an example of a simple system, the model includes one stock component, an inflow, and an outflow, each of which is affected by a variable. The stock within this model is the monkey population, the inflow is the monkey births, which are affected by the monkey birth rate, and the outflow is the monkey deaths, which are affected by the monkey death rate. Exponential and graph population data can be viewed using the "Simulate" feature.
Exponential Monkey Population: Simple System Dynamics
In this model, I will be demonstrating my understanding of Modelling a Human Population by using Oshawa as a current example. For this model, we begin with a current population of 170,000. However, with Oshawa's "theoretically new" (just to demonstrate my understanding) neighbourhoods being built the population will change to reflect that and the city's appropriate carrying capacity! By using variable factors such as "Moving in/inflow rate" and "Moving out/outflow rate" to reflect the number of current residents residing within Oshawa (nResidents).
Modelling Oshawa's 2024 Residential Population Dynamics
The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.
Clone of Logistic Moose Population Dynamics
The dynamics of moose (prey) and wolf (predator) populations
Moose (Prey) and Wolf (Predator) Population Dynamics
The model simulates the local environmental (specifically greenhouse gas emissions), economic, and resource impacts of transitioning from internal combustion engine vehicles (ICEVs) to electric vehicles (EVs) for personal ownership in New York City in the context of a sustainable program of new energy vehicles, which is the context of the current era. To be realistic, we combine delay and stochasticity in this model to simulate the real world. By understanding the model, one can gain insight into the importance of EV penetration for sustainable development.
Clone of SUST 1001U 2024 Fall Group 10 - Electrifying NYC: A System Dynamics Model of EV Adoption and Sustainability Impacts
A model demonstrating the differences in productivity and cost in an arbitrary workforce (this could be one company/institution or an entire area). I used AI to assist me in creating this model, by explaining to it what I would like to have as my main stocks and what I'd like to model, and then had it suggest variables, flows, and links (and thus equations for the flows and variables as well). The actual initial values were also suggested by the AI.
Clone of Efficiency & Productivity of using AI in Workforce
The dynamics of a moose population with constant birth and death rates.
Clone of Moose Population Exponential Growth
The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.
Clone of Logistic Moose Population Dynamics Deterministic w Delay
This model stimulates the growth of the human population at a large scale, ranging from global to local growth. It is modeled using logistic growth, where the carrying capacity (maximum sustainable population) limits the exponential growth due to available resources.
Human Population Growth Model
The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.
Clone of Logistic Moose Population Dynamics
The dynamics of a moose population with constant birth and death rates.
Clone of Exponential Moose Population Dynamics
This model displays how the population of the Earth changes. With a larger birth rate than death rate the population increases and heads towards K (carrying capacity). If the birth rate is lower than the death rate, the population will slowly diminish and will move away from carrying capacity.
Clone of Globe Population Dynamics
The dynamics of mouse (prey) and cat (predator) population
Mouse (prey) and Cat (predator) population Dynamics
The power dynamics of a fictitious rural community (Bobville). The dynamics illustrate the power needs of Bobville residents and businesses throughout the day and how they change when microgeneration, residential/commercial daytime use, and nighttime use are considered.
Electricity in a Rural Community - Bobville
The dynamics of a constant bathtub water level with constant water inflow and water outflow rates.
Constant Bathtub Water Level Dynamics
The dynamics of Oshawa's human population are influenced by a density-dependent growth rate. The population growth rate equals the mortality rate when the population reaches the city's carrying capacity, defined by available housing, jobs, healthcare, and other resources. The growth rate exceeds the mortality rate when the population is below carrying capacity, allowing for positive net growth. Likewise, when the population surpasses the city's carrying capacity, growth declines, and the mortality rate exceeds the growth rate due to overburdened resources and infrastructure.
Oshawa Human Population Dynamics
This model demonstrates how the population of trees fluctuates and changes when factors such as how much trees being planted and how many trees being harvested/torn down come into play!
The Number of Trees in consideration of both inflow and outflows factors.
Modeling a Human Population
The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.
Clone of Clone of Logistic Moose Population Dynamics
This is the flow of electricity in homes and business of the fictional town Wilton. The values were based on the projected power plan of the town Milton. In this stimulation, we see how much electricity is coming in from each energy source and how the total energy on the town's power grid is distributed between residents and corporate buildings in Wilton.
Electricity Flow Insight of the town Wilton
This is the Logistics model for the country Nigeria over 25 years. Using a density-dependent rate,
At carrying capacity: Birth rate = Death rate. This is why at this point the population at reached a constant (a plateau) because the two rates equate themselves.
Below carrying capacity:Birth rate > death rate. There are enough resources for so the population so max birth rate is reached and more people are being birthed or are migrating into the country
Above carrying capacity: The birth rate < death rate. Nigeria's ecosystem have depleted and not enough to support its population so max death rate is reached.
Using this model, we see how population replenished per person
(Population per capita) decreases as the population nears carrying
capacity.
Clone of Logistic Moose Population Dynamics
The dynamics of a moose population with constant birth and death rates.
Clone of Exponential Moose Population Dynamics
