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Models of tree and stand dynamics = ...

Makela, Annikki.

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Models of tree and stand dynamics = theory, formulation and application /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Models of tree and stand dynamics/ by Annikki Makela, Harry T. Valentine.
Reminder of title:	theory, formulation and application /
Author:	Makela, Annikki.
other author:	Valentine, Harry T.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xvi, 310 p. :ill., digital ;24 cm.
[NT 15003449]:	Preface -- List of symbols -- 1. Introduction -- 2. Descriptive Models -- 3. Carbon Balance -- 4. Tree Structure -- 5. Carbon Balance and Structure -- 6. Competition -- 7. Tree structure revisited: Eco-evolutionary models -- 8. Predicting stand growth: parameters, drivers and modular inputs -- 9. Calibration -- 10. Applications and future outlook -- Solutions to Exercises -- References -- Author Index -- Index.
Contained By:	Springer eBooks
Subject:	Forest management. -
Online resource:	https://doi.org/10.1007/978-3-030-35761-0
ISBN:	9783030357610

Models of tree and stand dynamics = theory, formulation and application /
Makela, Annikki.

Models of tree and stand dynamicstheory, formulation and application /[electronic resource] :by Annikki Makela, Harry T. Valentine. - Cham :Springer International Publishing :2020. - xvi, 310 p. :ill., digital ;24 cm.

Preface -- List of symbols -- 1. Introduction -- 2. Descriptive Models -- 3. Carbon Balance -- 4. Tree Structure -- 5. Carbon Balance and Structure -- 6. Competition -- 7. Tree structure revisited: Eco-evolutionary models -- 8. Predicting stand growth: parameters, drivers and modular inputs -- 9. Calibration -- 10. Applications and future outlook -- Solutions to Exercises -- References -- Author Index -- Index.

The book is designed to be a textbook for university students (MSc-PhD level) and a reference for researchers and practitioners. It is an introduction to dynamic modelling of forest growth based on ecological theory but aiming for practical applications for forest management under environmental change. It is largely based on the work and research findings of the authors, but it also covers a wide range of literature relevant to process-based forest modelling in general. The models presented in the book also serve as tools for research and can be elaborated further as new research findings emerge. The material in the book is arranged such that the student starts from basic concepts and formulations, then moves towards more advanced theories and methods, finally learning about parameter estimation, model testing, and practical application. Exercises with solutions and hands-on R-code are provided to help the student digest the concepts and become proficient with the methods. The book should be useful for both forest ecologists who want to become modellers, and for applied mathematicians who want to learn about forest ecology. The basic concepts and theory are formulated in the first four chapters, including a review of traditional descriptive forest models, basic concepts of carbon balance modelling applied to trees, and theories and models of tree and forest structure. Chapter 5 provides a synthesis in the form of a core model which is further elaborated and applied in the subsequent chapters. The more advanced theories and methods in Chapters 6 and 7 comprise aspects of competition through tree interactions, and eco-evolutionary modelling, including optimisation and game theory, a topical and fast developing area of ecological modelling under climate change. Chapters 8 and 9 are devoted to parameter estimation and model calibration, showing how empirical and process-based methods and related data sources can be bridged to provide reliable predictions. Chapter 10 demonstrates some practical applications and possible future development paths of the approach. The approach in this book is unique in that the models presented are based on ecological theory and research findings, yet sufficiently simple in structure to lend themselves readily to practical application, such as regional estimates of harvest potential, or satellite-based monitoring of growth. The applicability is also related to the objective of bridging empirical and process-based approaches through data assimilation methods that combine research-based ecological measurements with standard forestry data. Importantly, the ecological basis means that it is possible to build on the existing models to advance the approach as new research findings become available.

ISBN: 9783030357610

Standard No.: 10.1007/978-3-030-35761-0doiSubjects--Topical Terms:

569176
Forest management.

LC Class. No.: SD431 / .M865 2020

Dewey Class. No.: 634.92

Models of tree and stand dynamics = theory, formulation and application /
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100 1 $a Makela, Annikki. $3 3449382
245 1 0 $a Models of tree and stand dynamics $h [electronic resource] : $b theory, formulation and application / $c by Annikki Makela, Harry T. Valentine.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xvi, 310 p. : $b ill., digital ; $c 24 cm.
505 0 $a Preface -- List of symbols -- 1. Introduction -- 2. Descriptive Models -- 3. Carbon Balance -- 4. Tree Structure -- 5. Carbon Balance and Structure -- 6. Competition -- 7. Tree structure revisited: Eco-evolutionary models -- 8. Predicting stand growth: parameters, drivers and modular inputs -- 9. Calibration -- 10. Applications and future outlook -- Solutions to Exercises -- References -- Author Index -- Index.
520 $a The book is designed to be a textbook for university students (MSc-PhD level) and a reference for researchers and practitioners. It is an introduction to dynamic modelling of forest growth based on ecological theory but aiming for practical applications for forest management under environmental change. It is largely based on the work and research findings of the authors, but it also covers a wide range of literature relevant to process-based forest modelling in general. The models presented in the book also serve as tools for research and can be elaborated further as new research findings emerge. The material in the book is arranged such that the student starts from basic concepts and formulations, then moves towards more advanced theories and methods, finally learning about parameter estimation, model testing, and practical application. Exercises with solutions and hands-on R-code are provided to help the student digest the concepts and become proficient with the methods. The book should be useful for both forest ecologists who want to become modellers, and for applied mathematicians who want to learn about forest ecology. The basic concepts and theory are formulated in the first four chapters, including a review of traditional descriptive forest models, basic concepts of carbon balance modelling applied to trees, and theories and models of tree and forest structure. Chapter 5 provides a synthesis in the form of a core model which is further elaborated and applied in the subsequent chapters. The more advanced theories and methods in Chapters 6 and 7 comprise aspects of competition through tree interactions, and eco-evolutionary modelling, including optimisation and game theory, a topical and fast developing area of ecological modelling under climate change. Chapters 8 and 9 are devoted to parameter estimation and model calibration, showing how empirical and process-based methods and related data sources can be bridged to provide reliable predictions. Chapter 10 demonstrates some practical applications and possible future development paths of the approach. The approach in this book is unique in that the models presented are based on ecological theory and research findings, yet sufficiently simple in structure to lend themselves readily to practical application, such as regional estimates of harvest potential, or satellite-based monitoring of growth. The applicability is also related to the objective of bridging empirical and process-based approaches through data assimilation methods that combine research-based ecological measurements with standard forestry data. Importantly, the ecological basis means that it is possible to build on the existing models to advance the approach as new research findings become available.
650 0 $a Forest management. $3 569176
650 0 $a Trees $x Growth $x Mathematical models. $3 3449384
650 1 4 $a Applied Ecology. $3 890960
650 2 4 $a Forestry Management. $3 895131
650 2 4 $a Plant Ecology. $3 895049
650 2 4 $a Tree Biology. $3 895152
650 2 4 $a Theoretical Ecology/Statistics. $3 900862
700 1 $a Valentine, Harry T. $3 3449383
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-35761-0
950 $a Biomedical and Life Sciences (Springer-11642)