Forest Growth Modelling And Prediction

Modelling Forest Growth and Yield

This book provides an introduction to growth modeling in mixed forests, with emphasis on the tropics. It is not intended as a 'how-to' manual with step-by-step instructions, as there is no single best way to model such forests. Rather it reviews different approaches, highlighting their strengths and limitations. It emphasizes empirical-statistical models rather than physiological-process type models, because of the proven utility of the former in forest management. Each chapter includes exercises that can be completed manually or on PC and spreadsheet. The book will serve as a reference manual for practitioners and as a text for advanced level students taking courses in forest modeling.

Forest Growth and Yield Modeling

Forest Growth and Yield Modeling synthesizes current scientific literature and provides insights in how models are constructed. Giving suggestions for future developments, and outlining keys for successful implementation of models the book provides a thorough and up-to-date, single source reference for students, researchers and practitioners requiring a current digest of research and methods in the field. The book describes current modelling approaches for predicting forest growth and yield and explores the components that comprise the various modelling approaches. It provides the reader with the tools for evaluating and calibrating growth and yield models and outlines the steps necessary for developing a forest growth and yield model. Single source reference providing an evaluation and synthesis of current scientific literature Detailed descriptions of example models Covers statistical techniques used in forest model construction Accessible, reader-friendly style

Forest Growth Modelling and Prediction