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Thematic Guide to Integrated Assessment Modeling
Population Growth
The other dominant long-term driver of emissions, along with technological change,
is population growth. In the
long term, population growth drives paths of global greenhouse emissions, but its fundamental determinants are not understood. Currently
developed nations have undergone demographic transitions when fertility
rates fell sharply, but the primary causes are not understood, nor are whether, when, and how they can be projected to occur in
nations that are now developing.
With so little knowledge on which to build causal models, the
standard method in integrated assessment is to take external scenarios of
population growth rates, either global or specific to particular regions,
normally specifying several distinct scenarios. As with any other
important parameter, it would be possible to collapse multiple scenarios
into a probability distribution and propagate its effects through a
modeling exercise. No present integrated assessment project for climate
change takes explicit account of inter-regional migration. As with
technology, population growth and movement is ultimately dependent upon
economics, policies, and environmental changes, but the determinants of
these are not known. Using a variety of scenarios as inputs helps compensate for
ignorance of these relationships.
The next section is Land Use.
Sources
Parson, E.A. and K. Fisher-Vanden, Searching for Integrated Assessment:
A Preliminary Investigation of Methods, Models, and Projects in the
Integrated Assessment of Global Climatic Change. Consortium for
International Earth Science Information Network (CIESIN). University
Center, Mich. 1995.
Suggested Citation
Consortium for International Earth Science Information Network (CIESIN).
1995. Thematic Guide to Integrated Assessment Modeling of Climate
Change [online]. University Center, Mich.
CIESIN URL: http://sedac.ciesin.org/mva/iamcc.tg/TGHP.html
Acknowledgement
This work, including access to the data and technical assistance, is
provided by CIESIN, with funding from the National Aeronautics and
Space Administration under Contract NAS5-32632 for the Development and
Operation of the Socioeconomic Data and Applications Center (SEDAC).
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