Modeling Forest Trees and Stands
Modeling Forest Trees and Stands

Author: Harold E. Burkhart

Publisher: Springer Science & Business Media

Published: 2012-04-27

Total Pages: 463

ISBN-13: 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.

Forest Growth and Yield Modeling
Forest Growth and Yield Modeling

Author: Aaron R. Weiskittel

Publisher: John Wiley & Sons

Published: 2011-07-15

Total Pages: 431

ISBN-13: 1119971500

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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

Spatial Modeling in Forest Resources Management
Spatial Modeling in Forest Resources Management

Author: Pravat Kumar Shit

Publisher: Springer Nature

Published: 2020-10-08

Total Pages: 675

ISBN-13: 3030565424

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This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources. Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner. By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.

Modelling Forest Development
Modelling Forest Development

Author: Klaus von Gadow

Publisher: Springer Science & Business Media

Published: 2001-11-30

Total Pages: 232

ISBN-13: 9781402002762

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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. 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. One of the outstanding features of this book is its inclusion of thinning models at varying levels of resolution and consideration of differences in foresters' tree marking behaviour. Other interesting aspects include regional resource forecasting approaches, generalized stem taper functions, generalized diameter-height relations, new ways of describing and reproducing forest spatial structures, crown modelling and iterative competition modelling. Worked examples and code are provided where appropriate. The intended readership is graduate students.

Spatial Modeling of Forest Landscape Change
Spatial Modeling of Forest Landscape Change

Author: David J. Mladenoff

Publisher: Cambridge University Press

Published: 1999-08-26

Total Pages: 388

ISBN-13: 9780521631228

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Key researchers present newly emerging approaches to computer simulation models of large, forest landscapes.

Forest Dynamics, Growth and Yield
Forest Dynamics, Growth and Yield

Author: Hans Pretzsch

Publisher: Springer Science & Business Media

Published: 2009-06-19

Total Pages: 670

ISBN-13: 354088307X

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The aim of this book is to improve the understanding of forest dynamics and the sustainable management of forest ecosystems. How do tree crowns, trees or entire forest stands respond to thinning in the long term? What effect do tree species mixtures and multi-layering have on the productivity and stability of trees, stands or forest enterprises? How do tree and stand growth respond to stress factors such as climate change or air pollution? Furthermore, in the event that one has acquired knowledge about the effects of thinning, mixture and stress, how can one make that knowledge applicable to decision-making in forestry practice? The experimental designs, analytical methods, general relationships and models for answering questions of this kind are the focus of this book. Given the structures dealt with, which range from plant organs to the tree, stand and enterprise levels, and the processes analysed in a time frame of days or months to decades or even centuries, this book is directed at all readers interested in trees, forest stands and forest ecosystems. This work has been compiled for students, scientists, lecturers, forest planners, forest managers, and consultants.

Predictive Species and Habitat Modeling in Landscape Ecology
Predictive Species and Habitat Modeling in Landscape Ecology

Author: C. Ashton Drew

Publisher: Springer Science & Business Media

Published: 2010-11-25

Total Pages: 319

ISBN-13: 1441973907

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Most projects in Landscape Ecology, at some point, define a species-habitat association. These models are inherently spatial, dealing with landscapes and their configurations. Whether coding behavioral rules for dispersal of simulated organisms through simulated landscapes, or designing the sampling extent of field surveys and experiments in real landscapes, landscape ecologists must make assumptions about how organisms experience and utilize the landscape. These convenient working postulates allow modelers to project the model in time and space, yet rarely are they explicitly considered. The early years of landscape ecology necessarily focused on the evolution of effective data sources, metrics, and statistical approaches that could truly capture the spatial and temporal patterns and processes of interest. Now that these tools are well established, we reflect on the ecological theories that underpin the assumptions commonly made during species distribution modeling and mapping. This is crucial for applying models to questions of global sustainability. Due to the inherent use of GIS for much of this kind of research, and as several authors’ research involves the production of multicolored map figures, there would be an 8-page color insert. Additional color figures could be made available through a digital archive, or by cost contributions of the chapter authors. Where applicable, would be relevant chapters’ GIS data and model code available through a digital archive. The practice of data and code sharing is becoming standard in GIS studies, is an inherent method of this book, and will serve to add additional research value to the book for both academic and practitioner audiences.

A Theory of Forest Dynamics
A Theory of Forest Dynamics

Author: H.H. Shugart

Publisher: Springer

Published: 2012-09-05

Total Pages: 0

ISBN-13: 9781461264613

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This book is a consideration of the dynamics of forested systems at the time and spatial scales that 1 feel are implied by our present-day use of the term "succession." The investigation will be conducted by exercising a set of ecological models called "gap models," which have been in a state of development and improvement for the past 15 years. It is the intent of this book to use these models as tools for exploring theories of ecological succession. Ecological succession is one of the most obvious and demonstrable features of natural systems when viewed from outside the field of ecology. Succession is used by teachers as a theory that introduces young people to the interactive and dynamic nature of ecosystems. Succession theory and examples of succession are proclaimed from legions of nature trail guidebooks and placards. It is a pleasant classroom exercise to discuss how ecological systems change as the product of internal mechanisms that can be demonstrated by observaaon. The deductive explanation of how a particular place came to have a given assemblage of tree species has a pleasing "Sherlock Holmesian" touch that can be challenging to puzzle through.

Individual-based Methods in Forest Ecology and Management
Individual-based Methods in Forest Ecology and Management

Author: Arne Pommerening

Publisher: Springer Nature

Published: 2019-09-17

Total Pages: 417

ISBN-13: 3030245284

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Model-driven individual-based forest ecology and individual-based methods in forest management are of increasing importance in many parts of the world. For the first time this book integrates three main fields of forest ecology and management, i.e. tree/plant interactions, biometry of plant growth and human behaviour in forests. Individual-based forest ecology and management is an interdisciplinary research field with a focus on how the individual behaviour of plants contributes to the formation of spatial patterns that evolve through time. Key to this research is a strict bottom-up approach where the shaping and characteristics of plant communities are mostly the result of interactions between plants and between plants and humans. This book unites important methods of individual-based forest ecology and management from point process statistics, individual-based modelling, plant growth science and behavioural statistics. For ease of access, better understanding and transparency the methods are accompanied by R code and worked examples.