Literature DB >> 16706917

Functional diversity: back to basics and looking forward.

Owen L Petchey1, Kevin J Gaston.   

Abstract

Functional diversity is a component of biodiversity that generally concerns the range of things that organisms do in communities and ecosystems. Here, we review how functional diversity can explain and predict the impact of organisms on ecosystems and thereby provide a mechanistic link between the two. Critical points in developing predictive measures of functional diversity are the choice of functional traits with which organisms are distinguished, how the diversity of that trait information is summarized into a measure of functional diversity, and that the measures of functional diversity are validated through quantitative analyses and experimental tests. There is a vast amount of trait information available for plant species and a substantial amount for animals. Choosing which traits to include in a particular measure of functional diversity will depend on the specific aims of a particular study. Quantitative methods for choosing traits and for assigning weighting to traits are being developed, but need much more work before we can be confident about trait choice. The number of ways of measuring functional diversity is growing rapidly. We divide them into four main groups. The first, the number of functional groups or types, has significant problems and researchers are more frequently using measures that do not require species to be grouped. Of these, some measure diversity by summarizing distances between species in trait space, some by estimating the size of the dendrogram required to describe the difference, and some include information about species' abundances. We show some new and important differences between these, as well as what they indicate about the responses of assemblages to loss of individuals. There is good experimental and analytical evidence that functional diversity can provide a link between organisms and ecosystems but greater validation of measures is required. We suggest that non-significant results have a range of alternate explanations that do not necessarily contradict positive effects of functional diversity. Finally, we suggest areas for development of techniques used to measure functional diversity, highlight some exciting questions that are being addressed using ideas about functional diversity, and suggest some directions for novel research.

Mesh:

Year:  2006        PMID: 16706917     DOI: 10.1111/j.1461-0248.2006.00924.x

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  218 in total

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4.  Effect of thiram and of a hydrocarbon mixture on freshwater macroinvertebrate communities in outdoor stream and pond mesocosms: II. Biological and ecological trait responses and leaf litter breakdown.

Authors:  Yannick Bayona; Marc Roucaute; Kevin Cailleaud; Laurent Lagadic; Anne Bassères; Thierry Caquet
Journal:  Ecotoxicology       Date:  2015-08-27       Impact factor: 2.823

5.  Bird diversity and dissimilarity show contrasting patterns along heavy metal pollution gradients in the Urals, Russia.

Authors:  Eugen A Belskii; Vladimir S Mikryukov
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-07       Impact factor: 4.223

6.  Incorporating plant functional diversity effects in ecosystem service assessments.

Authors:  Sandra Díaz; Sandra Lavorel; Francesco de Bello; Fabien Quétier; Karl Grigulis; T Matthew Robson
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-19       Impact factor: 11.205

7.  Links between plant litter chemistry, species diversity, and below-ground ecosystem function.

Authors:  Courtney L Meier; William D Bowman
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-08       Impact factor: 11.205

Review 8.  Advances in monitoring soil microbial community dynamic and function.

Authors:  K K Nkongolo; R Narendrula-Kotha
Journal:  J Appl Genet       Date:  2020-02-15       Impact factor: 3.240

9.  Declines in large wildlife increase landscape-level prevalence of rodent-borne disease in Africa.

Authors:  Hillary S Young; Rodolfo Dirzo; Kristofer M Helgen; Douglas J McCauley; Sarah A Billeter; Michael Y Kosoy; Lynn M Osikowicz; Daniel J Salkeld; Truman P Young; Katharina Dittmar
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-28       Impact factor: 11.205

10.  Filling the gap in functional trait databases: use of ecological hypotheses to replace missing data.

Authors:  Simon Taugourdeau; Jean Villerd; Sylvain Plantureux; Olivier Huguenin-Elie; Bernard Amiaud
Journal:  Ecol Evol       Date:  2014-02-25       Impact factor: 2.912

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