Forest Growth And Yield Modeling Aaron R Weiskittel David W Hann by Aaron R. Weiskittel, David W. Hann, John A. Kershaw, Jerome K. Vanclay(auth.) 9780470665008, 9781119998518, 0470665009, 1119998514 instant download after payment.

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

Content:
Chapter 1 Introduction (pages 1–13):
Chapter 2 Indices of Competition (pages 15–36):
Chapter 3 Forest Site Evaluation (pages 37–52):
Chapter 4 Whole?Stand and Size?Class Models (pages 53–68):
Chapter 5 Tree?Level Models (pages 69–84):
Chapter 6 Components of Tree?List Models (pages 85–114):
Chapter 7 Individual?Tree Static Equations (pages 115–137):
Chapter 8 Mortality (pages 139–155):
Chapter 9 Seeding, Regeneration, and Recruitment (pages 157–167):
Chapter 10 Linking Growth Models of Different Resolutions (pages 169–182):
Chapter 11 Modeling Silvicultural Treatments (pages 183–225):
Chapter 12 Process?Based Models (pages 227–252):
Chapter 13 Hybrid Models of Forest Growth and Yield (pages 253–264):
Chapter 14 Model Construction (pages 265–294):
Chapter 15 Model Evaluation and Calibration (pages 295–309):
Chapter 16 Implementation and Use (pages 311–320):
Chapter 17 Future Directions (pages 321–325):