Clone of Global warming - Cross impact analysis
This model is a classic simulation of the production cycle in the ocean, including the effects of the thermocline in switching off advection of dissolved nutrients and detritus to the surface layer.
It illustrates a number of interesting features including the coupling of three state variables in a closed cycle, the use of time to control the duration of advection, and the modulus function for cycling annual temperature data over multiple years.
The model state variables are expressed in nitrogen units (mg N m-3), and the calibration is based on:
Baliño, B.M. 1996. Eutrophication of the North Sea, 1980-1990: An evaluation of anthropogenic nutrient inputs using a 2D phytoplankton production model. Dr. scient. thesis, University of Bergen.
Fransz, H.G. & Verhagen, J.H.G. 1985. Modelling Research on the Production Cycle of Phytoplankton in the Southern Bight of the Northn Sea in Relation to Riverborne Nutrient Loads. Netherlands Journal of Sea Research 19 (3/4): 241-250.
This model was first implemented in PowerSim some years ago by one of my M.Sc. students, who then went on to become a Buddhist monk. Although this is a very Zen model, as far as I'm aware, the two facts are unrelated.
Clone of NPD model (Nutrients, Phytoplankton, Detritus)
In Chile,
60% of its population are exposed to levels of Particulate Matter (PM) above international standards. Air Pollution is causing
4,000 premature deaths per year, including health costs over US$8 billion.
The System Dynamics Causal Loop Diagram developed herein shows an initial study of the dynamics among the variables that influences the accumulation of PM in the air, in particular the case of Temuco, in the South of Chile. In Temuco, 97% of the PM inventories comes from the combustion of low quality firewood, which in turns is being burned due to its low price and cultural habits/tradition.
Clone of Clone of Air Pollution Dynamics - Firewood Combustion
This model explains the mussel growth (Mytillus Edulis) based on primary production of phytoplankton biomass.
Light, nutrients and temperature were used as forcing functions over a two year period.
Mussel Growth based on Phytoplankton Biomass
Hudson River Estuary Food Web
In Chile,
60% of its population are exposed to levels of Particulate Matter (PM) above international standards. Air Pollution is causing
4,000 premature deaths per year, including health costs over US$8 billion.
The System Dynamics Causal Loop Diagram developed herein shows an initial study of the dynamics among the variables that influences the accumulation of PM in the air, in particular the case of Temuco, in the South of Chile. In Temuco, 97% of the PM inventories comes from the combustion of low quality firewood, which in turns is being burned due to its low price and cultural habits/tradition.
Clone of Air Pollution Dynamics - Firewood Combustion
Elements of Human Security
This model illustrates predator prey interactions using real-life data of wolf and moose populations on the Isle Royale (Michigan, USA).
Experiment with adjusting the initial number of moose and wolves on the island.
forked from the model "Isle Royale: Predator Prey Interactions" by Scott Fortmann-Roe
Predator Prey Interactions Empirical
Interplay between wolves eating sheep and farmers killing wolves who kill deer that eat crops that feed sheep.
Complex Sheep, Wolves, Deer, Crops
Interplay between wolves eating sheep and farmers killing wolves.
Sheep and Wolves
Simple model to illustrate oyster growth based on primary production of Phytoplankton as a state variable, forced by light and nutrients, running for a yearly period.
Phytoplankton growth based on on Steele's and Michaelis-Menten equations), where:
Primary Production=(([Pmax]*[I]/[Iopt]*exp(1-[I]/[Iopt])*[S])/([Ks]+[S]))
Pmax: Maximum production (d-1)
I: Light energy at depth of interest (uE m-2 s-1)
Iopt: Light energy at which Pmax occurs (uE m-2 s-1)
S: Nutrient concentration (umol N L-1)
Ks: Half saturation constant for nutrient (umol N L-1).
Further developments:
- Nutrients as state variable in cycle with detritus from phytoplankton and oyster biomass.
- Light limited by the concentration of phytoplankton.
- Temperature effect on phytoplankton and Oyster growth.
Oyster Growth based on Phytoplankton Biomass
This model shows the cycling of Mercury within a coastal wetland system. This cycling shows Elemental Mercury, Hg 2+, and Methylmercury within the soil, water, and air, and also interaction with the plants in the system.
Total wetland transpiration: 1.95x10^-5 m^3 m^-2 s^-1
Settling rate and resuspension units (%of settling): g m^-2 day^-1
Project 2 Wetland Mercury
Simple (Kind of) food web of the Cane Toad Species. Includes different levels of consumers including predators.
Clone of Cane Toad Food Web
Interplay between wolves eating sheep and farmers killing wolves.
Simple Sheep and Wolves
Killed People by Made-up virus
Polyrhachis identification chart
Not aware of your Polyrhachis identification type, use this to help identify it.
(Not all species listed) (all located on Australia)
Polyrhachis identification chart
Westley, F. R., O. Tjornbo, L. Schultz, P. Olsson, C. Folke, B. Crona and Ö. Bodin. 2013. A theory of transformative agency in linked social-ecological systems. Ecology and Society 18(3): 27. link
Clone of Transformative Agency in Social-Ecological System
Z212 from System Zoo 1 p142-148
House Heating Dynamics
Factors Affecting the Koala Mortality Incline
Australian King parrot food web
