Quantifying functional biodiversity
著者
書誌事項
Quantifying functional biodiversity
(Springerbriefs in environmental science)
Springer, c2012
- : pbk
大学図書館所蔵 全4件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
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
Index
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