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RECORD NUMBER: 206 OF 329

OLS Field Name OLS Field Data
Main Title Land-Use Scenarios: National-Scale Housing-Density Scenarios Consistent with Climate Change Storylines.
CORP Author Global Change Research Program, Washington, DC.
Year Published 2009
Report Number EPA/600/R-08/076F
Stock Number PB2016-101718
Additional Subjects Climate change ; Land use ; Global aspects ; Environmental impacts ; Adaptation ; Maps ; Demographics ; Population ; Housing ; Vulnerabilities ; Integrated Climate and Land-Use Scenarios (ICLUS)
Holdings
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NTIS  PB2016-101718 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 03/13/2017
Collation 137p
Abstract Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate-change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines and adapted these to the United States. ICLUS outputs are derived from a pair of models. A demographic model generates population estimates that are distributed by the spatial allocation model as housing density (HD) across the landscape; land-use outputs were developed for the four main SRES storylines and a base case. The model is run for the conterminous United States and output is available for each scenario by decade to 2100. In addition to maps of HD across the conterminous United States, this project also generated maps of impervious surface (IS) cover based on the HD projections. This report describes the modeling methodology for, some initial analyses using ICLUS outputs, and recommendations for further research.
PUB Date Free Form Jun 2009
Category Codes 55C | Meteorological Data Collection, Analysis, & Weather Forecasting; 91A | Environmental Management & Planning; 48B | Natural Resource Management; 44C | Community & Population Characteristics
Document Type NT
Medium PC | AC
Cataloging Source EPAORD
Origin NTIS
Type CAT