Drivers/Policy issues: Difference between revisions

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<h2>Drivers and types of scenarios </h2>
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Under baseline conditions scenario drivers are typically assumed to develop either along a pathway that is considered a best guess translation of current trends into the future. Alternatively, multiple contrasting scenarios can be considered to explore the range of plausible future trends. The former approach is chosen in many studies, such as the OECD Environmental Outlook (OECD, 2012), with the specific aim to serve as starting point for policy interventions aiming to improve the baseline outcomes within and across sectors and domains. The latter approach recognizes structural uncertainties in how the world might unfold, and aims to explore how such uncertainties would play out in future ranges of outcomes. They also serve to investigate how robust policy interventions play out under different future conditions. Examples of multiple baseline studies are (IPCC, 2000), (Millennium_Ecosystem_Assessment, 2006). See Figures 3.2 and 3.3 for illustrative results  from the so-called Shared Socio-economic Pathways (SSPs), recently developed to support climate change research across different research communities. (Moss et al.; Vuuren et al., 2012). An important element of the SSPs are the qualitative narratives or storylines characterizing alternative futures. From there, assumptions are made about internally coherent sets of scenario drivers, and finally key model drivers such as population and GDP growth factors.
Under baseline conditions scenario drivers are typically assumed to develop either along a pathway that is considered a best guess translation of current trends into the future. Alternatively, multiple contrasting scenarios can be considered to explore the range of plausible future trends. The former approach is chosen in many studies, such as the OECD Environmental Outlook (OECD, 2012), with the specific aim to serve as starting point for policy interventions aiming to improve the baseline outcomes within and across sectors and domains. The latter approach recognizes structural uncertainties in how the world might unfold, and aims to explore how such uncertainties would play out in future ranges of outcomes. They also serve to investigate how robust policy interventions play out under different future conditions. Examples of multiple baseline studies are (IPCC, 2000), (Millennium_Ecosystem_Assessment, 2006). See Figures 3.2 and 3.3 for illustrative results  from the so-called Shared Socio-economic Pathways (SSPs), recently developed to support climate change research across different research communities. (Moss et al.; Vuuren et al., 2012). An important element of the SSPs are the qualitative narratives or storylines characterizing alternative futures. From there, assumptions are made about internally coherent sets of scenario drivers, and finally key model drivers such as population and GDP growth factors.


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For more information on how Baseline scenarios play out in more detail in economic, social and ecological terms, see the results per module of the IMAGE 3.0 framework in chapters 4 through 8.
For more information on how Baseline scenarios play out in more detail in economic, social and ecological terms, see the results per module of the IMAGE 3.0 framework in chapters 4 through 8.
Once Baseline scenarios are implemented, modifications at various levels can be made that reflect policy interventions aiming to diverge from the trends emerging under baseline conditions. This can take many different shapes and forms, depending on the subject, scale, timeframe and policy levers under consideration. Reducing climate change impacts is one obvious example, but also reducing nutrient loading of coastal sees, slowing down the rate of biodiversity loss, reducing water stress, and many other options to alleviate anticipated future problems have been explored with IMAGE during the last decade. Again, for more information on policies, instruments and goals pursued, see Chapters 4 through 8 in this book.
Once Baseline scenarios are implemented, modifications at various levels can be made that reflect policy interventions aiming to diverge from the trends emerging under baseline conditions. This can take many different shapes and forms, depending on the subject, scale, timeframe and policy levers under consideration. Reducing climate change impacts is one obvious example, but also reducing nutrient loading of coastal sees, slowing down the rate of biodiversity loss, reducing water stress, and many other options to alleviate anticipated future problems have been explored with IMAGE during the last decade. Again, for more information on policies, instruments and goals pursued, see Chapters 4 through 8 in this book.
 
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Revision as of 14:39, 1 August 2013