Evaluating biodiversity representation

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Table of contents

Chapter I: Introduction
I.1 Quantitative models of benthic biodiversity
I.1.1 Overview of modelling approaches
I.1.2 Modelling biotic interactions
I.1.3 A general framework for models of biodiversity
I.2 Modelling biodiversity in the Rance estuary
I.2.1 Objectives of the thesis
I.2.2 General characteristics of the study site
I.2.3 Development of general modelling framework
I.2.4 Work plan
I.3 References
Chapter II: Building functional groups of marine benthic macroinvertebrates on the basis of general community assembly mechanisms
II.1 Introduction
II.2 Methods
II.2.1 Study site
II.2.2 Sampling methods
II.2.3 Design and application
II.3 Results
II.3.1 Building functional groups
II.3.2 Evaluating biodiversity representation
II.3.3 Assessing niche attributes preservation
II.3.4 Detecting neutral behaviour within groups
II.4 Discussion
II.4.1 Selecting biological traits
II.4.2 Building functional groups
II.4.3 Evaluating biodiversity representation
II.4.4 Assessing niche attributes preservation
II.4.5 Detecting neutral behaviour within groups
II.5 Conclusions
II.6 References
II.7 Appendix
Chapter III: Moving from biological traits to functional relationships for use in dynamic models of marine benthic communities
III.1 Introduction
III.2 Methods
III.2.1 Study site
III.2.2 Data collection
III.2.3 Biological traits
III.2.4 Environmental filtering
III.2.5 Life history trade-offs
III.2.6 Signed digraphs
III.2.7 Stability analysis
III.3 Results
III.3.1 Environmental filtering
III.3.2 Life history trade-offs
III.3.3 Signed digraphs
III.3.4 Stability analysis
III.4 Discussion
III.4.1 Environmental filtering
III.4.2 Life history trade-offs
III.4.3 Signed digraphs
III.4.4 Stability analysis
III.5 Conclusions
III.6 References
Chapter IV: Agent-based modelling of the multi-scale dynamics of marine benthic communities
IV.1 Introduction
IV.2 Methods
IV.2.1 Small-scale model
IV.2.1.1 Purpose
IV.2.1.2 Entities, state variables and scales
IV.2.1.3 Process overview and scheduling
IV.2.1.4 Design concepts
IV.2.1.5 Initialization
IV.2.1.6 Input data
IV.2.1.7 Submodels
IV.2.2 Large-scale model
IV.2.3 Parameterization
IV.2.3.1 Settlement probability
IV.2.3.2 Post-settlement mortality
IV.2.3.3 Predation
IV.2.4 Model analysis
IV.2.4.1 Spatial resolution
IV.2.4.2 Sensitivity analysis
IV.2.4.3 Group accumulation
IV.2.4.4 Spatial correlation
IV.2.4.5 Correspondence analysis
IV.2.5 Software
IV.3 Results
IV.3.1 Spatial resolution
IV.3.2 Sensitivity analysis
IV.3.3 Group accumulation
IV.3.4 Spatial correlation
IV.3.5 Correspondence analysis
IV.4 Discussion
IV.4.1 Spatial resolution
IV.4.2 Sensitivity analysis
IV.4.3 Group accumulation
IV.4.4 Spatial correlation
IV.4.5 Correspondence analysis
IV.4.6 Limitations and potential improvements
IV.5 References
IV.6 Appendix
Chapter V: Conclusions
V.1 Study site
V.2 Empirical research
V.2.1 Single scale
V.2.2 Multiple scales
V.3 Modelling macrobenthos
V.3.1 Functional groups
V.3.2 Functional relationships
V.3.3 Qualitative models
V.3.4 Agent-based models
V.3.4.1 Scales of mechanisms
V.3.4.2 Individual-based models
V.3.4.3 Inter-scale modelling
V.3.4.4 Model validation
V.3.4.5 Data sets
V.3.4.6 Minor adjustments
V.3.4.7 Major changes
V.3.4.8 Model generalisation
V.4 References