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Quantifying Functional Biodiversity

  • Book
  • © 2012

Overview

Authors:
  1. Laura Pla

    1. Department of Agricultural Technology, Francisco de Miranda National Experiment, Coro, Venezuela

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  2. Fernando Casanoves

    1. Tropical Agriculture Research and Higher, Turrialba, Costa Rica

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    You can also search for this author in PubMed   Google Scholar

  3. Julio Di Rienzo

    1. The National University of Cordoba, Faculty of Agricultural Sciences The National University of Cordoba, Cordoba, Argentina

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    You can also search for this author in PubMed   Google Scholar

  • The first comprehensive book on statistical analysis of functional diversity
  • Includes real-world data examples, analyzed step by step with interpreted results
  • Offers extensive instruction on the use of FDiversity analytical software, written by the developers of the program
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Environmental Science (BRIEFSENVIRONMENTAL)

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Table of contents (4 chapters)

  1. Front Matter

    Pages i-ix
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  2. Introduction

    • Laura Pla, Fernando Casanoves, Julio Di Rienzo
    Pages 1-8

  3. Functional Groups

    • Laura Pla, Fernando Casanoves, Julio Di Rienzo
    Pages 9-25

  4. Functional Diversity Indices

    • Laura Pla, Fernando Casanoves, Julio Di Rienzo
    Pages 27-51

  5. How to Estimate Functional Diversity Indices

    • Laura Pla, Fernando Casanoves, Julio Di Rienzo
    Pages 53-95

  6. Back Matter

    Pages 97-98
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Keywords

About this book

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.

Authors and Affiliations

  • Department of Agricultural Technology, Francisco de Miranda National Experiment, Coro, Venezuela

    Laura Pla

  • Tropical Agriculture Research and Higher, Turrialba, Costa Rica

    Fernando Casanoves

  • The National University of Cordoba, Faculty of Agricultural Sciences The National University of Cordoba, Cordoba, Argentina

    Julio Di Rienzo

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