CHAPTER 9
Modelling Sustainable Development
Several modelling techniques are available and relevant in sustainability science, amongst others because they are inherently integrating. The construction and use of such models is as much an art as a science.
- System dynamics is an important modelling approach. An important first step is establishing a system boundary, as is illustrated with the car system. In natural systems, notions of stocks, flows, positive and negative feedback loops, delays and inertia are key in understanding the dynamic evolution and responses in socio-ecological systems (SES). Also in the social sciences, sustainability issues, it helps to discipline thinking and share and communicate understanding.
- Preceding mathematical-formal modelling is the construction of causal loop diagrams (CLDs), which represent the presumed, important cause-effect relationships. Elementary models which can serve as a template to understand dynamic processes, are exponential growth and decline and logistic growth. Particularly in management and social science, some archetypical models of behaviour are useful, such as escalation and eroding goals.
- In what has become known as complex system science (CSS), modelling (human) behaviour have become part of understanding dynamics of and interventions in SES. Prominent methodologies, software packages and applications are Cellular Automata (CA)(spatial dynamics), network analysis (interaction) and agent-based models (ABM)(behaviour). In particular in combination with interactive modeling and simulation games, they are helpful in designing policies for sustainable pathways in SES.
Test your understanding of this chapter by reviewing the study questions below.
All Materials Relevant to this Chapter
Catastrophe Theory
Modelling catastrophic change The simplest mathematical equation that represents bifurcations and catastrophic change is a first order differential equation of the form: (eqn. 1) Solving for the attractors (dX/dt = 0), it is seen [...]
Fishing strategies: an agent-based simulation
Already for decades, ecologists are aware that proper modelling and management of fisheries has to incorporate the behaviour of fishermen. An early example was a model of two different fishing strategies (Allen and McGlade 1987). [...]
Catastropic change in (eco)systems: case-studies
There are some empirical, illustrative case-studies in which catastrophic did happen. The first classical example is the interactive dynamics between the spruce budworm, its predators and the boreal forest in North America (Holling 1986; Meadows [...]
Networks: one way to understand system behaviour
Definitions Systems consist of elements and their interrelations or linkages. The theory which focuses on these linkages is called network theory. It is of great help to understand how systems behave and is being applied [...]
The Kaibab narrative: management on ill-understood systems
History of Kaibab plateau Numerous models of ecosystems have been made – but sometimes one wonders whether somewhere a reality can be found which more or less is described by such a model. The term [...]
Even simple systems can show complex behaviour: mechanics
Change is an elementary phenomenon in life. It is most visible in movement of matter. It is useful to look at a simple, well observable and controllable system: a mass m at the end of [...]
A simple introduction to system dynamics for sustainability – a report by Hördur Haraldson
We humans make mental ‘maps’ of processes around us in order to live and survive. Many of those maps are simplified, based on a limited set of acquired habits and experienced events. The maps also [...]
System dynamics for real-world complexity: a book by Erik Pruyt
In 2013, Dr. Erik Pruyt (Delft Technical University) has released a book on system dynamics, titled Small System Dynamics Models for Big Issues: Triple Jump towards Real-World Complexity. It is set up as an interactive [...]
Games for sustainability education, research and policy
One way to explore integration of the natural and the social sciences is the construction and use of simulation games and policy exercises (cf. Chapter 10 and 12). Since 2013 several websites have come online [...]