Read more
Informationen zum Autor Jerry Vanclay , Professor for Sustainable Forestry and Head, School of Environmental Science and Management, Southern Cross University, Australia Aaron Weiskittel , Assistant Professor of Forest Biometrics and Modelling, School of Forest Resources, University of Maine, Orono, USA John A. Kershaw, Jr. , Professor of Forest Mensuration/Biometrics, Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, Canada Klappentext 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 Zusammenfassung 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 Inhaltsverzeichnis Preface. Acknowledgements. 1 Introduction. 1.1 Model development and validation. 1.2 Important uses. 1.3 Overview of the book. 2 Indices of competition. 2.1 Introduction. 2.2 Two-sided competition. 2.2.1 Distance-independent. 2.2.2 Distance-dependent. 2.3 One-sided competition. 2.3.1 Distance-independent. 2.3.2 Distance-dependent. 2.4 Limitations. 2.4.1 Low predictive power. 2.4.2 Distance-independent vs. distance-dependent. 2.4.3 Influence of sampling design. 2.5 Summary. 3 Forest site evaluation. 3.1 Introduction. 3.2 Phytocentric measures of site quality. 3.2.1 Site index. 3.2.2 Plant indicators. 3.2.3 Other phytocentric measures. 3.3 Geocentric measures of site productivity. 3.3.1 Physiographic measures. 3.3.2 Climatic measures. 3.3.3 Soil measures. 3.4 Summary. 4 Whole-stand and size-class models. 4.1 Introduction. 4.2 Whole-stand models. 4.2.1 Yield tables and equations. 4.2.2 Compatible growth and yield equations. 4.2.3 Systems of equations. 4.2.4 State-space models. 4.2.5 Transition matrix models. 4.3 Size-class models. 4.3.1 Stand table projection. 4.3.2 Matrix models. 4.3.3 D...
