Quantifying Functional Biodiversity

Quantifying Functional Biodiversity


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This book synthesizes current methods used to quantify functional diversity, providing step-by-step examples for defining functional groups and estimating functional indices. The authors show how to compare communities, and how to analyze changes of diversity along environmental gradients, using real-life examples throughout. One section of the book demonstrates the selection of traits, and the standardization and characterization of ecosystem data. Another section presents methods used to quantify functional diversity, shows how to relate functional diversity with environmental variables and how to connect these to ecosystem services. The concluding section introduces FDiversity, a free program developed by the authors. The reader is guided through every step from software installation and basic functions, to sample and database design, to graphical projection methods, employing case study data to illustrate key concepts.

Product Details

ISBN-13: 9789400726475
Publisher: Springer Netherlands
Publication date: 10/30/2011
Series: SpringerBriefs in Environmental Science , #3
Edition description: 2012
Pages: 98
Product dimensions: 6.10(w) x 9.25(h) x 0.01(d)

Table of Contents

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



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