Forest Growth and Yield Modeling

Front Cover
John Wiley & Sons, Jul 15, 2011 - Science - 432 pages
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
 

Contents

Indices of competition
15
Forest site evaluation
37
Wholestand and sizeclass models
53
3
66
Components of treelist models
85
Individualtree static equations
115
Mortality
139
Seeding regeneration and recruitment
157
Processbased models
227
Hybrid models of forest growth and yield
253
Model construction
265
Model evaluation and calibration
295
Implementation and use
311
Future directions
321
Bibliography
327
List of species used in the text
397

Linking growth models of different resolutions
169
Modeling silvicultural treatments
183

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About the author (2011)

Jerry Vanclay, Professor for Sustainable Forestry and Head, School of Environmental Science and Management, Southern Cross University, Australia

Aaron Weiskittel, Assistant Professor of Forest Biometrics and Modelling, School of Forest Resources, University of Maine, Orono, USA

John A. Kershaw, Jr., Professor of Forest Mensuration/Biometrics, Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, Canada

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