by Intermountain Forest and Range Experiment Station, Forest Service, U.S. Dept. of Agriculture in Ogden, Utah .
Written in English
Bibliography: p. 18.
|Statement||Albert R. Stage.|
|Series||USDA Forest Service research paper INT -- 164.|
|The Physical Object|
|Pagination||iv, 20,  p. :|
|Number of Pages||20|
Prediction of height increment for models of forest growth / Related Titles. Series: USDA Forest Service research paper INT ; By. Stage, Albert R. Type. Book . Wilbur A. Farr Comparison of some individual-tree height-increment models for 68 Ralph R. Johnson western hemlock and Sitka spruce in southeast Alaska Adrian N. Goodwin Adaption of the "STEMS' growth model to eucalypt forest 76 Donald E. Hilt Individual-tree diameter growth model for northern 86 Richard M. Teck New EnglandFile Size: KB. Publisher: Ogden, Utah: Intermountain Forest and Range Experiment Station, Forest Service, U.S. Dept. of Agriculture,Author: Albert R. Stage. Forest Science 47(3) Modeling and Prediction of Forest Growth Variables Based on Multilevel Nonlinear Mixed Models Daniel B. Hall and Robert L. Bailey ABSTRACT. In this article, we describe estimation and prediction methods for nonlinear modeling of forest growth variables that are subject to nested sources of variability.
Forest Growth and Yield Modeling These relatively small changes to the input parameters result in relatively large changes to the model predictions of forest site carbon uptake: up to 92 Only few papers deal explicitly with the classification of mixed forest growth models and, moreover, most of them are restricted to the study of one or a few specific kinds of models such as gap models (Shugart, , Bugmann et al., b, Shugart and Smith, ), individual tree models (Liu and Ashton, ), stand density management diagrams (Newton, ) or models for growth and yield. Forest Growth and Yield Modelling Regression functions which express stand growth are models. The European method of yield table construction and application still very much influence the Nigerian forestry practices. As a result, previous efforts at growth prediction were based on yield table and stand table projection methods. Such projections. Vanclay, JK , Modelling forest growth and yield: The role of growth models in decision making, forest management and the formulation of forest policy 3 Periodic increment may be a better predictor of growth at the mean diameter and competition than at initial.
Its ability in model prediction was compared with the classical gompertz growth model, an approach which mimicked the natural variability of height/diameter increment with respect to age and. The height increment model The general approach for predicting 5 year height increment (AH = H2 -H~) is based on the assumption that height growth is a function of tree size (SIZE), competition (COMP), and site descriptors (SITE): In(AH)=a+ + +d. Forest Growth and Yield Modeling Aaron Weiskittel. Introduction •In , Jerry Vanclay published a book on growth modeling –Bit outdated •A few other books on the subject –Compilations or conference proceedings tree models Diameter increment, height increment, and crown recession. Chapter 7 – Allometric Equations. 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.