Items related to Quantifying Functional Biodiversity
Synopsis
1. Introduction
1.1 Functional Diversity Approach To Quantify the Biodiversity
1.2 Functional Diversity Assessment
1.3 Classification of Ecosystem Services
1.4 Selection of Traits According to Ecosystem Service
1.5. Functional Diversity Quantification
2. Functional Groups
2.1 Selecting Trait and Its Relation With Ecosystem Services
2.2 A Guide For Data Arrangement
2.3 Statistical Procedures To Define Functional Groups
2.3.1 The Selection of a Dissimilarity Measure
2.3.2 Standardization
2.3.3 Choosing the Linkage Algorithm Method
2.3.4 Assessing the Number of Functional Groups
2.4 Functional Characterization of Coastal Sandy Plain Vegetation in Southeast Brazil
2.4.1 The Data Set
2.4.2 Plant Functional Types From a Restinga Vegetation
2.5 Functional Groups For Bird Species in Nicaragua
2.5.1 The Data Set
2.5.2 Bird Functional Types From Nicaragua
2.5.3 Characterization of Bird Functional Types of Nicaragua
2.5.4 Relationship of Functional Types With Land Uses
3. Functional Diversity Indices
3.1 About Functional Diversity Indices and Measures
3.2 Species Diversity Indices
3.3 Single-trait Metrics and Indices: Properties and Estimation
3.3.1 Community Weighted Mean
3.3.2 Functional Divergence
3.3.3 Functional Regularity
3.4 Multi-trait Indices: Properties and Estimation
3.4.1 Functional Attribute Diversity
3.4.2 Functional Diversity Based on Dendrograms
3.4.3 Convex Hull Hyper-volume
3.4.4. Quadratic Entropy
3.4.5 Extended FD
3.4.6 Functional Richness, Evenness, Divergence and Dispersion
3.5 Ability of Indices to Detect Some Ecological Processes
4. How To Estimate Functional Diversity Indices
4.1 The FDiversity Software: Capabilities and Data Management
4.1.1 How To Install FDiversity
4.1.2 Data Menu
4.1.3 Statistics and Output Menus
4.2 Case study: Changes in Functional Diversity in an Altitudinal Gradient
4.2.1 Sample Design and Trait Evaluation
4.2.2 The Database
4.2.3 Changes of Plant Functional Types With the Altitude
4.2.4 Changes of Functional Diversity Indices With the Altitude
4.3 Case study: Changes in Functional Diversity in a Chronosequence
4.3.1 Sample Design and Trait Evaluation
4.3.2 The Database
4.3.3 Changes of Plant Functional Types in the Chronosequence
4.4 Multivariate Graphical Projection Methods
Index
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