Compiles papers presented by extensionists, natural resource specialists, tech. transfer specialists, and others at a conf. that examined tech. transfer theories, methods, and case studies. Topics included: adult educ., extension, diffusion of innovations, social marketing, tech. transfer, etc. Descriptions of methods and case studies included combined digital media, engagement of users and commun. specialists in research, integrated forestry applications, Internet-based systems, science writing, training, video conf., Web-based ency., etc. Innovations transferred were best mgmt. practices for water quality, reforestation practices, land mgmt. system, portable timber bridges, reduced impact logging, silvicultural practices, urban forestry, etc. Illustrations.

Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines. Modeling such data present special challenges and opportunities that have received increasing scrutiny by the statistical community in recent years. In October 1996 a group of 210 statisticians and other scientists assembled on the small island of Nantucket, U. S. A. , to present and discuss new developments relating to Modelling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Direc tions. Its purpose was to provide a cross-disciplinary forum to explore the commonalities and meaningful differences in the source and treatment of such data. This volume is a compilation of some of the important invited and volunteered presentations made during that conference. The three days and evenings of oral and displayed presentations were arranged into six broad thematic areas. The session themes, the invited speakers and the topics they addressed were as follows: • Generalized Linear Models: Peter McCullagh-"Residual Likelihood in Linear and Generalized Linear Models" • Longitudinal Data Analysis: Nan Laird-"Using the General Linear Mixed Model to Analyze Unbalanced Repeated Measures and Longi tudinal Data" • Spatio---Temporal Processes: David R. Brillinger-"Statistical Analy sis of the Tracks of Moving Particles" • Spatial Data Analysis: Noel A. Cressie-"Statistical Models for Lat tice Data" • Modelling Messy Data: Raymond J. Carroll-"Some Results on Gen eralized Linear Mixed Models with Measurement Error in Covariates" • Future Directions: Peter J.

Forest ecology includes within its scope the components and functions of forest ecosystems -- a community of organisms interacting with each other and with their physical environment. Forest ecosystems, which consist of bacteria, plants, birds, mammals, reptiles, amphibians, soil, water and air, differ from other ecosystems in that they are dominated by trees and other woody vegetation. Each of these components plays an important role in the function and health of the forest. This book presents important research in the field.