IMAGE framework/IMAGE 3.0 in a nutshell: Difference between revisions

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As described in [[Scenario drivers]], future pathways or scenarios depend critically on assumed projections of key driving forces. Hence all results can only be understood and interpreted properly in the context of the assumed future environment in which they unfold.
As described in [[Scenario drivers]], future pathways or scenarios depend critically on assumed projections of key driving forces. Hence all results can only be understood and interpreted properly in the context of the assumed future environment in which they unfold.


The figure below illustrates how the various subsystems of the overall IMAGE framework are put together, showing the flow of information from the key driving factors to the impact indicators. As the diagram shows, it projects how human activities would develop in the box Socio-economic System as a result of a suite of exogenous drivers; see the box Scenario drivers and [[Scenario drivers]]. The human activities and the associated demands for goods and services are squared with the Earth System through the ‘interconnectors’ [[Land cover and land use]], and [[Emissions]]. Assumed policy interventions lead to model responses, taking all internal interactions and feedback into account; see the rightmost box. Impacts in various forms arise either directly from the model itself, for example the extent of future land-use for agriculture, forestry, etc.; or the average global temperature rise until the year 2050. Other indicators are generated by invoking additional models that use output from the core IMAGE model, together with other relevant assumptions to estimate the effects. For example biodiversity ([[GLOBIO model|GLOBIO]]; see [[Aquatic biodiversity]]) or [[Flood risks]]. Obviously, impacts emerging from such additional models do not influence the outcome of the model run directly. But the results found can reveal unsustainable or otherwise undesirable impacts, and induce exploration of alternative model assumptions aiming to alleviate the problem found. As the alternative is again implemented in the coupled set of models, the synergies with or trade-offs against other indicators are revealed.
The figure below illustrates how the various subsystems of the overall IMAGE framework are put together, showing the flow of information from the key driving factors to the impact indicators. As the diagram shows, it projects how human activities would develop in the box Socio-economic System as a result of a suite of exogenous drivers; see the box Scenario drivers and [[Scenario drivers]]. The human activities and the associated demands for goods and services are squared with the Earth System through the ‘interconnectors’ [[Land cover and use]], and [[Emissions]]. Assumed policy interventions lead to model responses, taking all internal interactions and feedback into account; see the rightmost box. Impacts in various forms arise either directly from the model itself, for example the extent of future land-use for agriculture, forestry, etc.; or the average global temperature rise until the year 2050. Other indicators are generated by invoking additional models that use output from the core IMAGE model, together with other relevant assumptions to estimate the effects. For example biodiversity ([[GLOBIO model|GLOBIO]]; see [[Aquatic biodiversity]]) or [[Flood risks]]. Obviously, impacts emerging from such additional models do not influence the outcome of the model run directly. But the results found can reveal unsustainable or otherwise undesirable impacts, and induce exploration of alternative model assumptions aiming to alleviate the problem found. As the alternative is again implemented in the coupled set of models, the synergies with or trade-offs against other indicators are revealed.





Revision as of 15:52, 12 December 2013