Stem surface area in modeling of forest stands
Gavrikov, Vladimir L.,
Stem surface area in modeling of forest stands Vladimir L. Gavrikov. - 1 recurso en línea ilustraciones - SpringerBriefs in plant science .
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Preface; Contents; 1 Stem Surface Area as Subject of Study; 1.1 Primary and Secondary Growth: Version by Trees; 1.2 Evolution and Ecological Consequences of Secondary Growth in Trees; References; 2 Stem Surface Area: Measurement and Development; 2.1 Stem Surface Area and Forest Mensuration; 2.2 Measuring Stem Surface Area for Research; 2.3 Development of Stem Surface Area; References; 3 Self-thinning and Stem Surface Area; 3.1 Primary and Secondary Relationships: Look Through a Geometrical Model of Forest Stand; 3.1.1 A Geometrical Model of Forest Stand. 4.2 Respiration Versus Stem Surface Area: A Test of Isometrical Scaling HypothesisReferences; Conclusion; Appendix; References; Index.
This book reveals the benefits of describing and modeling trees as the combined surface areas of their stems, and provides a concise overview of the fundamental grounds for adopting such an approach. Anatomically speaking, trees are largely thin sheaths of living cells and it is this understanding that has sparked growing interest in the study of stem surface areas in trees and stands. An overview of publications on analytical methods for the dynamics and structure of forest stands based on stem surface area is also provided. The approach described here gives readers a chance to rethink some models that were popular for decades, while also offering a glance into future research. The application of a simple geometrical model of a forest stand has made it possible to reexamine a highly promising model, the self-thinning rule, which has been a subject of a protracted discussion for the past few decades. Further, the analysis presented here can serve as the basis for predicting forest stand increments, a topic that calls for further development.
3319524488 3319524496 9783319524481 9783319524498
Política forestal--Mathematical models.
SD396 / .G387 2017 EB
Stem surface area in modeling of forest stands Vladimir L. Gavrikov. - 1 recurso en línea ilustraciones - SpringerBriefs in plant science .
SpringerLink
Incluye referencias bibliográficas e índice
Preface; Contents; 1 Stem Surface Area as Subject of Study; 1.1 Primary and Secondary Growth: Version by Trees; 1.2 Evolution and Ecological Consequences of Secondary Growth in Trees; References; 2 Stem Surface Area: Measurement and Development; 2.1 Stem Surface Area and Forest Mensuration; 2.2 Measuring Stem Surface Area for Research; 2.3 Development of Stem Surface Area; References; 3 Self-thinning and Stem Surface Area; 3.1 Primary and Secondary Relationships: Look Through a Geometrical Model of Forest Stand; 3.1.1 A Geometrical Model of Forest Stand. 4.2 Respiration Versus Stem Surface Area: A Test of Isometrical Scaling HypothesisReferences; Conclusion; Appendix; References; Index.
This book reveals the benefits of describing and modeling trees as the combined surface areas of their stems, and provides a concise overview of the fundamental grounds for adopting such an approach. Anatomically speaking, trees are largely thin sheaths of living cells and it is this understanding that has sparked growing interest in the study of stem surface areas in trees and stands. An overview of publications on analytical methods for the dynamics and structure of forest stands based on stem surface area is also provided. The approach described here gives readers a chance to rethink some models that were popular for decades, while also offering a glance into future research. The application of a simple geometrical model of a forest stand has made it possible to reexamine a highly promising model, the self-thinning rule, which has been a subject of a protracted discussion for the past few decades. Further, the analysis presented here can serve as the basis for predicting forest stand increments, a topic that calls for further development.
3319524488 3319524496 9783319524481 9783319524498
Política forestal--Mathematical models.
SD396 / .G387 2017 EB