Population | Insight Maker

WIP transforming Maternal and Child Health Outcome Logic Model insight into a Causal Loop Diagram

Health Outcome Logic Model to CLD

Geoff McDonnell

Influence of migration on the number of working-age population.

Clone of Clone of Radno sposobno stanovništvo

Antun

Shows the ecological impact of population.

Clone of Population Ecological Impact-Morocco

Mackenzie Emerson

A collaborative class project with each participant creating an animal/plant sub-model to explore the greater population/community dynamics of the Yellowstone ecosystem.

Clone of YellowstoneEcoClassModel

Albert Boulanger

A quick population rate model to help get acquainted to modular designs.

Clone of VariableBirthPopulation

Elijah Rose

Infected

edgar villamarin

Een dynamisch model over een prooi predator relatie tussen verschillende populaties onder invloed van abiotische factoren.

Koein en Reuzenvogels en blumentjens Dio 5V prey predator

Dionijs Burmeister

7

Clone of Lake Sturgeon Population Model

Tricia Benkert

Simulation of how tiger population and anti poaching efforts effect the black market value of tiger organs.

Clone of Tiger Population and Black Market Value

Sarah Miller

Shows projection of birth and death rate over time.. This one is for Australia.

Australia Population Projection 2045

Kristen M Martin

Physical meaning of the equations

The Lotka–Volterra model makes a number of assumptions about the environment and evolution of the predator and prey populations:

1. The prey population finds ample food at all times.

2. The food supply of the predator population depends entirely on the size of the prey population.

3. The rate of change of population is proportional to its size.

4. During the process, the environment does not change in favour of one species and genetic adaptation is inconsequential.

5. Predators have limitless appetite.

As differential equations are used, the solution is deterministic and continuous. This, in turn, implies that the generations of both the predator and prey are continually overlapping.[23]

Prey

When multiplied out, the prey equation becomes

dx/dt = αx - βxy

The prey are assumed to have an unlimited food supply, and to reproduce exponentially unless subject to predation; this exponential growth is represented in the equation above by the term αx. The rate of predation upon the prey is assumed to be proportional to the rate at which the predators and the prey meet; this is represented above by βxy. If either x or y is zero then there can be no predation.

With these two terms the equation above can be interpreted as: the change in the prey's numbers is given by its own growth minus the rate at which it is preyed upon.

Predators

The predator equation becomes

dy/dt = -

In this equation, {\displaystyle \displaystyle \delta xy} represents the growth of the predator population. (Note the similarity to the predation rate; however, a different constant is used as the rate at which the predator population grows is not necessarily equal to the rate at which it consumes the prey). {\displaystyle \displaystyle \gamma y} represents the loss rate of the predators due to either natural death or emigration; it leads to an exponential decay in the absence of prey.

Hence the equation expresses the change in the predator population as growth fueled by the food supply, minus natural death.

Clone of Prey&Predator

Eleazar Puente

Refined Population Robinson

Corey

zombie infection model

zombies

Christopher Bystroff

Simulation of Population

Clone of CVD prevention model

Gbenga Olatunde

Dynamic simulation modelers are particularly interested in understanding and being able to distinguish between the behavior of stocks and flows that result from internal interactions and those that result from external forces acting on a system. For some time modelers have been particularly interested in internal interactions that result in stable oscillations in the absence of any external forces acting on a system. The model in this last scenario was independently developed by Alfred Lotka (1924) and Vito Volterra (1926). Lotka was interested in understanding internal dynamics that might explain oscillations in moth and butterfly populations and the parasitoids that attack them. Volterra was interested in explaining an increase in coastal populations of predatory fish and a decrease in their prey that was observed during World War I when human fishing pressures on the predator species declined. Both discovered that a relatively simple model is capable of producing the cyclical behaviors they observed. Since that time, several researchers have been able to reproduce the modeling dynamics in simple experimental systems consisting of only predators and prey. It is now generally recognized that the model world that Lotka and Volterra produced is too simple to explain the complexity of most and predator-prey dynamics in nature. And yet, the model significantly advanced our understanding of the critical role of feedback in predator-prey interactions and in feeding relationships that result in community dynamics.The Lotka–Volterra model makes a number of assumptions about the environment and evolution of the predator and prey populations:

1. The prey population finds ample food at all times.

2. The food supply of the predator population depends entirely on the size of the prey population.

3. The rate of change of population is proportional to its size.

4. During the process, the environment does not change in favour of one species and genetic adaptation is inconsequential.

5. Predators have limitless appetite.

As differential equations are used, the solution is deterministic and continuous. This, in turn, implies that the generations of both the predator and prey are continually overlapping.[23]

Prey

When multiplied out, the prey equation becomes

dx/dt = αx - βxy

The prey are assumed to have an unlimited food supply, and to reproduce exponentially unless subject to predation; this exponential growth is represented in the equation above by the term αx. The rate of predation upon the prey is assumed to be proportional to the rate at which the predators and the prey meet; this is represented above by βxy. If either x or y is zero then there can be no predation.

With these two terms the equation above can be interpreted as: the change in the prey's numbers is given by its own growth minus the rate at which it is preyed upon.

Predators

The predator equation becomes

dy/dt = -

In this equation, {\displaystyle \displaystyle \delta xy} represents the growth of the predator population. (Note the similarity to the predation rate; however, a different constant is used as the rate at which the predator population grows is not necessarily equal to the rate at which it consumes the prey). {\displaystyle \displaystyle \gamma y} represents the loss rate of the predators due to either natural death or emigration; it leads to an exponential decay in the absence of prey.

Hence the equation expresses the change in the predator population as growth fueled by the food supply, minus natural death.

AA - Clone of Predator-Prey Model ("Lotka'Volterra")

Alfred Aenishaenslin

Climate Sector Boundary Diagram By Guy Lakeman

Climate, Weather, Ecology, Economics, Population, Welfare, Energy, Policy, CO2, Carbon Cycle, GHG (green house gasses, combined effects)

As general population is composed of 85% with an education level of a 12 grader or less (a 17 year old), a simple block of components concerning the health of the planet needs to be broken down into simple blocks.

Perhaps this picture will show the basics on which to vote for a sustained healthy future

Democracy is only as good as the ability of the voters to FULLY understand the implications of the policies on which they vote., both context and the various perspectives. National voting of unqualified voters on specific policy issues is the sign of corrupt manipulation.

Climate Sector Boundary Diagram of Guy Lakeman

Guy Lakeman

3

Shows the ecological impact of population.

Clone of Population Ecological Impact-Ireland

Brady McGillin

Von Foerster's doomsday equation says that population growth is hyperbolic because the exponent itself (the growth rate) is a function of population.

Doomsday v.1.0

Christopher Bystroff

THE 2020 MODEL (BY GUY LAKEMAN) EMPHASIZES THE PEAK IN POLLUTION BEING CREATED BY OVERPOPULATION.
WITH THE CARRYING CAPACITY OF ARABLE LAND NOW BEING 1.5 TIMES OVER A SUSTAINABLE FUTURE (PASSED IN 1990) AND NOW INCREASING IN LOSS OF HUMAN SUSTAINABILITY DUE TO SEA RISE AND EXTREME GLOBAL WATER RELOCATION IN WEATHER CHANGES IN FLOODS AND DROUGHTS AND EXTENDED TROPICAL AND HORSE LATTITUDE CYCLONE ACTIVITY AROUND HADLEY CELLS

The World3 model is a detailed simulation of human population growth from 1900 into the future. It includes many environmental and demographic factors.

THIS MODEL BY GUY LAKEMAN, FROM METRICS OBTAINED USING A MORE COMPREHENSIVE VENSIM SOFTWARE MODEL, SHOWS CURRENT CONDITIONS CREATED BY THE LATEST WEATHER EXTREMES AND LOSS OF ARABLE LAND BY THE ALBEDO EFECT MELTING THE POLAR CAPS TOGETHER WITH NORTHERN JETSTREAM SHIFT NORTHWARDS, AND A NECESSITY TO ACT BEFORE THERE IS HUGE SUFFERING.

BY SETTING THE NEW ECOLOGICAL POLICIES TO 2015 WE CAN SEE THAT SOME POPULATIONS CAN BE SAVED BUT CITIES WILL SUFFER MOST.

CURRENT MARKET SATURATION PLATEAU OF SOLID PRODUCTS AND BEHAVIORAL SINK FACTORS ARE ALSO ADDED

Use the sliders to experiment with the initial amount of non-renewable resources to see how these affect the simulation. Does increasing the amount of non-renewable resources (which could occur through the development of better exploration technologies) improve our future? Also, experiment with the start date of a low birth-rate, environmentally focused policy.

WORLD2020 to PLANET2020

Guy Lakeman

12

Shows the ecological impact of population.

Population Ecological Impact-Argentina

Joshua Chu

Shows the ecological impact of population.

Population Ecological Impact-Italy

Lauren Ashley Hoekstra

Insight Maker was utilized to demonstrate the relationship between Alienated Youth, police and Community Development. And the affect of Counselling can have on such youth. The Influence of activities was also depicted that can led to Criminal activities and Drug Abuse among such Youth. The model was made considering the youth within Burke.

Relationships
As can be seen that, the police enforcement plays a vital role, in the shaping the lives of youth. Hence, with the Increase in police force and increase in such initiates, the crime is like to decrease. Hence, the youth shall also be kept away from all of such interactions and such Acts.

Also, the Community Development shall also play a vital role, in two folds. First it shall play a part in shaping the very mindset of youth , to indulge in positive activities and refrain from illegal activities.
Second of all, it shall provide rehabilitation to youth that have been subjected to such crimes and such events.

Conclusion
It can be Concluded that, with increase in Police enforcement and Community Development, the overall crime can be reduced. The Youth thereupon will only indulge in positive activities.

Variables

There are two Variables involved in the model

1. Police Enforcement

It measures how effectively and efficiently police go about fulfilling its duties; Identifying potential criminals and stopping them from committing crime and punishing criminal who are guilty.

2. Community Development

Community development intervenes by changing the mindset of alienated and rehabilitated youth and hence affecting the flow towards Social Interactive Activities.

Adjusting Variables

Police enforcement can be adjusted using the slider given below. There is no choice given to adjust community development as it is affected by various factors of the society; education, culture, morals etc.

Assumptions

Youth engaged in Social Interactive Activities can never become alienated and hence will not go to drugs. In other words, a socially interactive youth member will be engaged in sports, education, gaming or café rather than drugs.

Youth are defined as ages 15-24, comprising of a population of 80. (ABS, 2016)

References

Australian Bureau of Statistics. (2016). General Community Profile. (Cat. No. 2001.0). https://quickstats.censusdata.abs.gov.au/census_services/getproduct/census/2016/communityprofile/LGA11150?opendocument

Alienated Population