Modelling Forest Systems

Modelling Forest Systems
Author: A. Amaro
Publisher: CABI
Total Pages: 426
Release: 2003-01-01
Genre: Science
ISBN: 9780851998732

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There are many theoretical approaches to modelling forest systems, but not all of them have valid practical applications. This book reviews current thinking on various models and presents applications in various contexts. Papers have been selected and developed from those presented at aworkshop held in Portugal in June 2002. Topics covered include: Forest reality and modelling strategies Mathematical approaches and reasoning Estimation processes Models, validation and decision under uncertainty Model archives and metadata

Modelling Forest Development

Modelling Forest Development
Author: Klaus von Gadow
Publisher: Springer Science & Business Media
Total Pages: 222
Release: 2013-12-01
Genre: Technology & Engineering
ISBN: 9401148163

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In an lUlffianaged woodland, forest development follows a succession of periods of undisturbed natural growth, interrupted by intermediate loss or damage of trees caused by fire or wind or other natural hazards. In a managed woodland, the most important periodic disturbances are the thinning operations, which are often carried out at regular intervals and which usually have a significant effect on the future evolution of the resource. Thus, a realistic model of forest development includes both natural growth and thinnings. The key to successful timber management is a proper understanding of growth processes, and one of the objectives of modelling forest development is to provide the tools that enable foresters to compare alternative silvicultural treatments. Foresters need to be able to anticipate the consequences of a particular thinning operation. In most cases, total timber volume is not a very appropriate measure for quantifying growth or yields, or changes caused by thinning operations. Yield in economic terms is defined by the dimensions and quality attributes of the harvestable logs, and estimating timber products is a central issue of production-oriented growth and yield research. Introduction 2 Growth modelling is also an essential prerequisite for evaluating the consequences of a particular management action on the future development of an important natural resource, such as a woodland ecosystem.

Forest Analytics with R

Forest Analytics with R
Author: Andrew P. Robinson
Publisher: Springer Science & Business Media
Total Pages: 342
Release: 2010-11-05
Genre: Medical
ISBN: 1441977627

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Forest Analytics with R combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt a problem-driven approach, in which statistical and mathematical tools are introduced in the context of the forestry problem that they can help to resolve. All the tools are introduced in the context of real forestry datasets, which provide compelling examples of practical applications. The modeling challenges covered within the book include imputation and interpolation for spatial data, fitting probability density functions to tree measurement data using maximum likelihood, fitting allometric functions using both linear and non-linear least-squares regression, and fitting growth models using both linear and non-linear mixed-effects modeling. The coverage also includes deploying and using forest growth models written in compiled languages, analysis of natural resources and forestry inventory data, and forest estate planning and optimization using linear programming. The book would be ideal for a one-semester class in forest biometrics or applied statistics for natural resources management. The text assumes no programming background, some introductory statistics, and very basic applied mathematics.

Modeling Forest Trees and Stands

Modeling Forest Trees and Stands
Author: Harold E. Burkhart
Publisher: Springer Science & Business Media
Total Pages: 463
Release: 2012-04-27
Genre: Technology & Engineering
ISBN: 9048131707

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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.

Modelling Forest Growth and Yield

Modelling Forest Growth and Yield
Author: J. K. Vanclay
Publisher:
Total Pages: 0
Release: 1994
Genre:
ISBN:

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Whole stand models. Size class models. Single-tree and tree list models. Data Requirements. Constructing growth models. Forest site evaluation. Diameter increment. Mortality and merchantability. Regeneration and recruitment. Model evaluation and re-calibration. Implementation and use. Future directions.

Forest Management and Economics

Forest Management and Economics
Author: Joseph Buongiorno
Publisher:
Total Pages: 312
Release: 1987
Genre: Forest management
ISBN:

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Multi-Source National Forest Inventory

Multi-Source National Forest Inventory
Author: Erkki Tomppo
Publisher: Springer Science & Business Media
Total Pages: 383
Release: 2008-09-25
Genre: Technology & Engineering
ISBN: 1402087136

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Building on more than a decade of innovative research into multi-source forest inventory (MS-NFI) this book presents full details of the development, outputs and applications of the improved k-NN method. The method, which was pioneered in Finland in 1990, is rapidly becoming a world standard in forest inventory, having been adopted as standard in Finland and Sweden, and recently introduced in Austria and across the US. The book describes in detail the full MS-NFI process, and the input data used – including field data, satellite images, and digital map data, as well as coarse-scale variation of forest variables. It also presents comprehensive information on the types of outputs which can be derived, including maps and statistics, describing, for example, stock volumes and development, dominant tree species, age-class distribution, and large and small-scale variation. The book will provide an invaluable resource for those involved in forest inventory, including government departments and bodies involved in forest policy, management and monitoring, forest managers, and researchers and graduate students interested in forest inventory, modelling and analysis. It will find an additional market among those interested in Earth observation, ecology and broader areas of environmental and natural resource management. Erkki Tomppo was the winner of the 1997 Marcus Wallenberg Prize for his work on the k-NN method.

Mathematical Models of Crop Growth and Yield

Mathematical Models of Crop Growth and Yield
Author: Allen R. Overman
Publisher: CRC Press
Total Pages: 341
Release: 2002-08-27
Genre: Technology & Engineering
ISBN: 0824743598

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Highlighting effective, analytical functions that have been found useful for the comparison of alternative management techniques to maximize water and nutrient resources, this reference describes the application of viable mathematical models in data analysis to increase crop growth and yields. Featuring solutions to various differential equations, the book covers the characteristics of the functions related to the phenomenological growth model. Including more than 1300 literature citations, display equations, tables, and figures and outlining an approach to mathematical crop modeling, Mathematical Models of Crop Growth and Yield will prove an invaluable resource.