Guest Editorial; L.O. Mearns. n1. Climate Scenarios for the Southeast US Based on CGM and Regional Model Simulations; L.O. Mearns, F. Giorgi, L. McDaniel, C. Shields. n2. The Effect of Spatial Scale of Climate Change Scenarios on Simulated Maize, Winter Wheat, and Rice Production in the Southeastern United States; E.A. Tsvatsinskaya, L.O. Mearns, T. Mavromatis, W. Gao, L. McDaniel, M.W. Downton. n3. Response of Soybeans and Sorghum to Varying Spatial Scales of Climate Scenarios in the Southeastern United States; G.J. Carbone, W. Kiehle, C. Locke, L.O. Mearns, L. McDaniel, M.W. Downton. n4. Spatial Scale Effects of Climate Scenarios on Simulated Cotton Production in the Southeastern United States; R.M. Doherty, L.O. Mearns, K. Raja Reddy, M.W. Downton, L. McDaniel . n5. Improving the Realism of Modeling Agronomic Adaptation to Climate Change: Simulating Technological Substitution; W. Easterling, N. Chhetri, N. Niu. n6. The Effects of Spatial Scale of Climate Scenarios on Economic Assessments: An Example from U.S. Agriculture; R.M. Adams, B.A. McCarl, L.O. Mearns. n7. Southeastern U.S. Vegetation Response to ENSO Events (1989-1999); A.J. Peters, Lei Ji, E. Walter-Shea. n8. Stochastic Modeling of the Effects of Large-Scale Circulation on Daily Weather in the Southeastern U.S.; R.W. Katz, M.B. Parlange, C. Tebaldi.
This book presents a collection of articles concerning key topics which examine the impacts of climate change and variability on agriculture. The application region is the southeastern United States. The main topics include an investigation of the effect of variations in the spatial scale of climate change scenarios on an agricultural integrated assessment, methods of simulating adaptations of climate change, and the relationship between large scale climate variability and local climate and vegetation.
This book will be very useful for researchers and policy makers involved in climate change impacts.