Predicting Height Increment of Young-growth Red Fir in California and Southern Oregon
Author | : K. Leroy Dolph |
Publisher | : |
Total Pages | : 12 |
Release | : 1992 |
Genre | : Abies magnifica |
ISBN | : |
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Author | : K. Leroy Dolph |
Publisher | : |
Total Pages | : 12 |
Release | : 1992 |
Genre | : Abies magnifica |
ISBN | : |
Author | : K. Leroy Dolph |
Publisher | : |
Total Pages | : 12 |
Release | : 1992 |
Genre | : Abies magnifica |
ISBN | : |
Author | : K. Leroy Dolph |
Publisher | : |
Total Pages | : 12 |
Release | : 1992 |
Genre | : Abies magnifica |
ISBN | : |
Author | : Aaron R. Weiskittel |
Publisher | : John Wiley & Sons |
Total Pages | : 431 |
Release | : 2011-08-22 |
Genre | : Science |
ISBN | : 0470665009 |
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
Author | : Martin W. Ritchie |
Publisher | : |
Total Pages | : 72 |
Release | : 1999 |
Genre | : Forest productivity |
ISBN | : |
Author | : K. Leroy Dolph |
Publisher | : |
Total Pages | : 6 |
Release | : 1989 |
Genre | : Abies magnifica |
ISBN | : |
Author | : Mark L. Hanus |
Publisher | : |
Total Pages | : 40 |
Release | : 2000 |
Genre | : Forests and forestry |
ISBN | : |
Equations for predicting height to crown base are presented for tree species from southwest Oregon. Equations for undamaged and damaged trees were estimated with weighted nonlinear regression techniques. The effects of specific damaging agents on the height to crown base were explored, and damage correction factors were estimated. The damage correction factors can be used to correct the predicted crown ratio for specific damaging agents and their severity in samples where damage is noted. These equations are being incorporated into the new southwest Oregon version of ORGANON (ORegon Growth ANalysis and projectiON), a model for predicting the growth of individual trees in forest stands. The equations extend the past model to older stands and stands with a heavier component of hardwood tree species.