Modeling Forest Trees and Stands
Nonfiction, Science & Nature, Nature, Plant Life, Trees, Technology, Agriculture & Animal Husbandry
| Author: | Harold E. Burkhart, Margarida Tomé | ISBN: | 9789048131709 |
| Publisher: | Springer Netherlands | Publication: | April 27, 2012 |
| Imprint: | Springer | Language: | English |
| Author: | Harold E. Burkhart, Margarida Tomé |
| ISBN: | 9789048131709 |
| Publisher: | Springer Netherlands |
| Publication: | April 27, 2012 |
| Imprint: | Springer |
| Language: | English |
Drawing upon a wealth of past research and results, this book provides a comprehensive summary of state-of-the-art methods for empirical modeling of forest trees and stands. It opens by describing methods for quantifying individual trees, progresses to a thorough coverage of whole-stand, size-class and individual-tree approaches for modeling forest stand dynamics, growth and yield, moves on to methods for incorporating response to silvicultural treatments and wood quality characteristics in forest growth and yield models, and concludes with a discussion on evaluating and implementing growth and yield models.
Ideal for use in graduate-level forestry courses, this book also provides ready access to a plethora of reference material for researchers working in growth and yield modeling.
Drawing upon a wealth of past research and results, this book provides a comprehensive summary of state-of-the-art methods for empirical modeling of forest trees and stands. It opens by describing methods for quantifying individual trees, progresses to a thorough coverage of whole-stand, size-class and individual-tree approaches for modeling forest stand dynamics, growth and yield, moves on to methods for incorporating response to silvicultural treatments and wood quality characteristics in forest growth and yield models, and concludes with a discussion on evaluating and implementing growth and yield models.
Ideal for use in graduate-level forestry courses, this book also provides ready access to a plethora of reference material for researchers working in growth and yield modeling.
