Drought Decision-Support Tools: Introducing the Keetch Byram Drought Index — KBDI (AE471)

The Keetch-Byram Drought Index (KBDI) is generally used to determine potential wildfire hazards across the southeastern United States and is calculated daily by the Florida Department of Agriculture and Consumer Services, Division of Forestry. KBDI is a continuous reference scale for estimating the dryness of the soil and duff layers. Forest managers have identified several uses for the KBDI in wildfire management. This 5-page fact sheet explains the nuts and bolds of the KBDI and how forecast the index on agroclimate.org. Written by Clyde W. Fraisse, Norman E. Breuer, and David Zierden and published by the UF Department of Agricultural and Biological Engineering, February 2011.
http://edis.ifas.ufl.edu/ae471

AE463 Los Pronósticos Climáticos y la Toma de Decisiones en Agricultura

AE463, an 8-page illustrated fact sheet by Norman E. Breuer, Clyde Fraisse and David Zierden, is the Spanish-language version of ABE352/AE267 Climate Forecast and Decision Making in Agriculture. It describes the type of strategic pre-season decisionmaking that should take into consideration climate forecasts, how climate is predicted, how to interpret the forecasts, the climate of Florida, and climate forecast applications to agriculture in Florida. Includes references. Published by the UF Department of Agricultural and Biological Engineering, June 2010.
http://edis.ifas.ufl.edu/ae463

AE464 El Uso de los Pronósticos de la Variabilidad Climática Estacional para Planificar el Establecimiento de la Plantación de Bosques

AE464, a 3-page fact sheet by Norman Breuer, Matthew Langholtz, David Zierden and Clyde Fraisse, is the Spanish language version of ABE354/AE282: Using Seasonal Climate Variability Forecasts to Plan Forest Plantation Establishment. It provides strategies to consider for pine plantation establishment in Florida and southern Alabama and Georgia, where seasonal climate conditions can be better predicted because it is affected by the El Niño Southern Oscillation (ENSO) phenomenon. Includes references. Published by the UF Department of Agricultural and Biological Engineering, July 2010.
http://edis.ifas.ufl.edu/ae464