Format:
Online-Ressource (XIV, 457 p. 85 illus, digital)
ISBN:
9789048131709
,
9789048131693
,
9789400715974
Series Statement:
SpringerLink
Content:
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 an
Note:
Includes bibliographical references and index
,
Modeling Forest Trees and Stands; Preface; Contents; Chapter 1: Introduction; 1.1 Quantifying Forest Trees and Stands; 1.2 Modeling Approaches; 1.3 Empirical Modeling of Forests; 1.4 Organization of Book Contents; 1.5 Abbreviations and Symbols Used; References; Chapter 2: Tree Form and Stem Taper; 2.1 Form and Taper; 2.2 Stem Taper Functions; 2.2.1 Simple Equations; 2.2.2 Segmented Functions; 2.2.3 Variable-Exponent Functions; 2.3 Inclusion of Additional Predictor Variables; 2.3.1 Crown Dimensions; 2.3.2 Site and Stand Variables; 2.3.3 Upper-Stem Diameters
,
2.4 Compatible Prediction of Inside and Outside Bark Diameters2.5 Taper-Volume Compatible Functions; 2.6 Statistical Considerations; 2.6.1 Model Assumptions; 2.6.2 Multicollinearity; 2.6.3 Retransformation Bias; 2.6.4 Mixed-Effects Approach; References; Chapter 3: Tree-Stem Volume Equations; 3.1 Developing Volume Equations; 3.2 Equations for Total Stem Volume; 3.2.1 Combined Variable Equations; 3.2.2 Logarithmic Volume Equations; 3.2.3 Honer Volume Equation; 3.3 Estimating Merchantable Stem Volume; 3.3.1 Volume Ratio Equations; 3.3.2 Deriving Taper Functions from Volume Equations
,
3.3.3 Compatible Stem Volume and Taper Functions3.4 Inclusion of Variables in Addition to dbh and Total Height; 3.5 Volume Prediction for Irregular Stems; 3.6 Stem Quality Assessment and Prediction; References; Chapter 4: Tree Weight and Biomass Estimation; 4.1 Estimating Green Weight of Stems; 4.2 Estimating Dry Weight of Stems; 4.3 Biomass Estimation; 4.3.1 Models for Biomass Estimation; 4.3.2 Additivity of Linear Biomass Equations; 4.3.3 Additivity of Nonlinear Biomass Equations; 4.3.4 Inclusion of Additional Predictor Variables; References; Chapter 5: Quantifying Tree Crowns
,
5.1 Approximating Tree Crowns with Geometric Shapes5.2 Modeling Crown Profiles; 5.2.1 Incorporating Stochastic Variation; 5.2.2 Additional Techniques for Describing Tree Crowns; 5.3 Modeling Crown Morphology; 5.4 Tree Crowns and Growth; 5.4.1 Modeling Crown Ratio; 5.4.2 Crown Relationships for Open-Grown Trees; References; Chapter 6: Growth Functions; 6.1 Introduction; 6.2 Empirical Versus Mechanistic or Theoretical Growth Functions; 6.3 Growth Functions of the Lundqvist-Korf Type; 6.3.1 Schumacher Function; 6.3.2 Lundqvist-Korf Function; 6.4 Growth Functions of the Richards Type
,
6.4.1 Monomolecular Function6.4.2 Logistic and Generalized Logistic Functions; 6.4.3 Gompertz Function; 6.4.4 Richards Function; 6.5 Functions of the Hossfeld IV Type; 6.5.1 The Hossfeld IV Function; 6.5.2 McDill-Amateis/Hossfeld IV Function; 6.5.3 Generalizations of the Hossfeld IV Function; 6.6 Other Growth Functions; 6.7 Zeide Decomposition of Growth Functions; 6.8 Formulating Growth Functions Without Age Explicit; References; Chapter 7: Evaluating Site Quality; 7.1 Need to Quantify Site Quality; 7.2 Computing Top Height; 7.3 Data Sources for Developing Site Index Curves
,
7.3.1 Temporary Plots
Additional Edition:
ISBN 9789400715974
Additional Edition:
Buchausg. u.d.T. Burkhart, Harold E. Modeling Forest Trees and Stands Dordrecht : Springer, 2012 ISBN 9789400715974
Additional Edition:
ISBN 9789048131693
Language:
English
Subjects:
Agriculture, Forestry, Horticulture, Fishery, Domestic Science
Keywords:
Waldbaum
;
Pflanzenwachstum
;
Mathematische Modellierung
;
Waldbaum
;
Pflanzenwachstum
;
Mathematische Modellierung
DOI:
10.1007/978-90-481-3170-9
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