Essential features of Avicennia germinans (L.) L.

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Table of contents

1 General introduction
1.1 Main motivation and challenges
1.1.1 Forests and plants adaptations to environmental change
1.1.2 Mangrove ecosystems and the relevance for investigations of tree morphological plasticity and forest dynamics in changing environments
1.1.3 Forest dynamics modelling and the incorporation of morphological plasticity
1.1.4 The prospects of coupling forest simulation models and remote sensing techniques
1.2 Research objectives
1.3 Study areas and datasets
1.3.1 Description of study sites
1.3.2 Data collection
1.4 Organization of the thesis
1.5 References
2 Characterizing the structure and biomass of mangrove species using terrestrial LiDAR data, and the application in extending biomass allometrice
Abstract
2.1 Introduction
2.2 Methods
2.2.1 Study area
2.2.2 Essential features of Avicennia germinans (L.) L.
2.2.3 TLS measurements and data processing
2.2.4 Computation of the trunk and branch volumes
2.2.5 Biomass estimation from TLS-derived wood volume
2.2.6 Fitting of allometric models using TLS-derived biomass data
2.3 Results
2.3.1 Accuracy of pixel-based trunk volume estimation from TLS data
2.3.2 Accuracy of TLS-based tree volume-to-biomass conversion
2.3.3 Aboveground woody biomass of large A. germinans trees
2.3.4 Revised allometric models of A. germinans trees
2.4 Discussion
2.4.1 Accuracy of the TLS-derived mangrove tree biomass
2.4.2 Modelling mangrove tree biomass with TLS-derived data
2.4.3 Challenges affecting the wider application of TLS in mangrove studies
2.5 References
2.6 Appendix
3 Collective plastic tree attributes explain the dynamics of aboveground biomass in contrasting Amazon-influenced mangrove forests
Abstract
3.1 Introduction
3.2 Materials and methods
3.2.1 Study locations
3.2.2 The datasets
3.2.3 Data analyses and statistics
3.3 Results
3.3.1 Regional differences in tree morphological allometries
3.3.2 Morphological plasticity and aboveground biomass allometry
3.3.3 Dynamics of stand aboveground biomass in divergent mangrove forests
3.4 Discussion
3.5 Conclusion
3.6 References
3.7 Appendix
4 Lollymangrove software: A standardized tool for data acquisition and 3D description of mangrove forest structure
Abstract
4.1 Introduction
4.2 Background and fundamentals
4.2.1 Sampling designs for characterizing mangrove forest structure
4.2.2 Tree and biomass allometric models
4.3 Description of the software package
4.3.1 Input module
4.3.2 Processing module
4.3.3 Visualization module
4.3.4 Output module
4.4 Example applications in South America
4.5 Coupling with ecological and remote-sensing models
4.6 Conclusion and perspectives
4.7 References
5 Simulating the influence of plastic tree morphology and biomass partitioning on the structural development of mangrove forests
Abstract
5.1 Introduction
5.2 Methodology
5.2.1 Model description
5.2.2 Simulation settings
5.2.3 Benchmarks for model evaluation
5.2.4 Data analyses and statistics
5.3 Results
5.3.1 Model evaluation
5.3.2 Example model application: relating tree biomass to crown structure
5.4 Discussion
5.5 Conclusion
5.6 References
5.7 Appendix
6 Concluding discussion
6.1 Main contributions
6.1.1 Morphological plasticity and allometric analyses at the tree scale
6.1.2 Relating morphological plasticity to the structural dynamics of forest stands
6.1.3 Predicting morphological plasticity and stand dynamics in changing environments
6.2 Methodological issues and perspectives
6.3 Towards an integrative modelling framework for mangrove dynamics
6.4 References
Ancillary documents
Publications
Résume Etendu (Extended summary in French)
Declaration of Independent Work