Global climate change will influence on all economic sectors to some degree, but agricultural production is perhaps the most sensitive and vulnerable to climate change. The objective of this study was to carry out vulnerability and adaptation assessments of important agricultural crops, including soybean, peanut, wheat and maize under expected climate change in southeastern USA. The climate change scenarios used in the study were created by changing observed data from the current climate (1961-1990) according to doubled CO2 simulations of several general circulation models (GCMs). The GCMs which were used are those from the Goddard Institute for Space Studies(GISS), Geophysical Fluid Dynamics Laboratory (GFDL), Canadian Climatic Centre (CCC), Oregon State University (OSU) and United Kingdom Meteorological Office (UKMO). Historical climate data were obtained for different climate zones in Georgia, Florida, Alabama, and other states in the southeastern USA. The generic grain cereal and grain legume models of the Decision Support Systems for Agrotechnology Transfer (DSSAT) v3.5 were used to determine the vulnerability of current agricultural management scenarios in the southeastern USA. Alternative scenarios were developed to look
at possible adaptations to potential climate change. A geographical information system (GIS) was used to display the spatial distribution of the results