Modelling Forest Systems

Modelling Forest Systems PDF

Author: A. Amaro

Publisher: CABI

Published: 2003-01-01

Total Pages: 426

ISBN-13: 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 PDF

Author: Klaus von Gadow

Publisher: Springer Science & Business Media

Published: 2013-12-01

Total Pages: 222

ISBN-13: 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 Growth and Timber Quality: Crown Models and Simulation Methods for Sustainable Forest Management

Forest Growth and Timber Quality: Crown Models and Simulation Methods for Sustainable Forest Management PDF

Author: Dennis P. Dykstra

Publisher: DIANE Publishing

Published: 2010-10

Total Pages: 282

ISBN-13: 1437926169

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Explores the relationships between forest management activities and timber quality. Sessions were organized to explore models and simulation methodologies that contribute to an understanding of tree development over time and the ways that management and harvesting activities can influence the quality of timber products recovered from those trees. Five keynote addresses, 29 plenary presentations, and 16 poster presentations covered the full breadth of forest growth and timber quality issues related to forest management. These proceedings comprise 19 papers based on presentations and posters, plus 28 abstracts for presentations. Also includes abstracts and slides from the presentations prepared by three keynote speakers. Illustrations.

Forest Analytics with R

Forest Analytics with R PDF

Author: Andrew P. Robinson

Publisher: Springer Science & Business Media

Published: 2010-11-05

Total Pages: 342

ISBN-13: 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.

Modelling Forest Growth and Yield

Modelling Forest Growth and Yield PDF

Author: J. K. Vanclay

Publisher:

Published: 1994

Total Pages: 0

ISBN-13:

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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.