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Individual-based methods in forest e...

Pommerening, Arne.

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Individual-based methods in forest ecology and management

Record Type:	Electronic resources : Monograph/item
Title/Author:	Individual-based methods in forest ecology and management/ by Arne Pommerening, Pavel Grabarnik.
Author:	Pommerening, Arne.
other author:	Grabarnik, Pavel.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xv, 411 p. :ill., digital ;24 cm.
[NT 15003449]:	Foreword; Dan Binkley -- Preface -- Acknowledgements -- 1. Introduction -- 2. Theories and concepts in individual-based forest ecology -- 3. Theories and concepts in individual-based forest management -- 4. Spatial methods of tree interaction analysis -- 5. Spatial and individual-based modelling -- 6. Principles of relative growth analysis -- 7. Human disturbances and tree selection behavior -- A. Qualitative forest description -- B. Survey protocol for the establishment of permanent forest research plots -- C. Brief Introduction to the R language -- References -- Index.
Contained By:	Springer eBooks
Subject:	Forest ecology. -
Online resource:	https://doi.org/10.1007/978-3-030-24528-3
ISBN:	9783030245283

Individual-based methods in forest ecology and management
Pommerening, Arne.

Individual-based methods in forest ecology and management[electronic resource] /by Arne Pommerening, Pavel Grabarnik. - Cham :Springer International Publishing :2019. - xv, 411 p. :ill., digital ;24 cm.

Foreword; Dan Binkley -- Preface -- Acknowledgements -- 1. Introduction -- 2. Theories and concepts in individual-based forest ecology -- 3. Theories and concepts in individual-based forest management -- 4. Spatial methods of tree interaction analysis -- 5. Spatial and individual-based modelling -- 6. Principles of relative growth analysis -- 7. Human disturbances and tree selection behavior -- A. Qualitative forest description -- B. Survey protocol for the establishment of permanent forest research plots -- C. Brief Introduction to the R language -- References -- Index.

Model-driven individual-based forest ecology has emerged in the 1990s and has given rise to a wealth of publications. At the same time, individual-based methods in forest management have been refined in a number of different countries and steadily grow in importance. 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 understood to be mostly the result of interactions between plants and between plants and humans. Written in a highly accessible style, the book provides essential information on theories and concepts of individual-based forest ecology and management and introduces point process statistics for analysing plant interactions. This is followed by methods of spatial modelling with a focus on individual-based models. The text is complemented by key concepts of modern plant growth science. Finally new methods of measuring, analysing and modelling human interaction with trees in forest ecosystems are introduced and discussed. For better access and understanding, all methods introduced in this book are accompanied by example code ready to use in the statistical software R and by worked examples. Additional technical details are given in three appendices.

ISBN: 9783030245283

Standard No.: 10.1007/978-3-030-24528-3doiSubjects--Topical Terms:

558452
Forest ecology.

LC Class. No.: QH541.5.F6 / P666 2019

Dewey Class. No.: 577.3

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100 1 $a Pommerening, Arne. $3 3413951
245 1 0 $a Individual-based methods in forest ecology and management $h [electronic resource] / $c by Arne Pommerening, Pavel Grabarnik.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xv, 411 p. : $b ill., digital ; $c 24 cm.
505 0 $a Foreword; Dan Binkley -- Preface -- Acknowledgements -- 1. Introduction -- 2. Theories and concepts in individual-based forest ecology -- 3. Theories and concepts in individual-based forest management -- 4. Spatial methods of tree interaction analysis -- 5. Spatial and individual-based modelling -- 6. Principles of relative growth analysis -- 7. Human disturbances and tree selection behavior -- A. Qualitative forest description -- B. Survey protocol for the establishment of permanent forest research plots -- C. Brief Introduction to the R language -- References -- Index.
520 $a Model-driven individual-based forest ecology has emerged in the 1990s and has given rise to a wealth of publications. At the same time, individual-based methods in forest management have been refined in a number of different countries and steadily grow in importance. 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 understood to be mostly the result of interactions between plants and between plants and humans. Written in a highly accessible style, the book provides essential information on theories and concepts of individual-based forest ecology and management and introduces point process statistics for analysing plant interactions. This is followed by methods of spatial modelling with a focus on individual-based models. The text is complemented by key concepts of modern plant growth science. Finally new methods of measuring, analysing and modelling human interaction with trees in forest ecosystems are introduced and discussed. For better access and understanding, all methods introduced in this book are accompanied by example code ready to use in the statistical software R and by worked examples. Additional technical details are given in three appendices.
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