Analyses of the links between species and functional diversity: the effects of methodological choices to assess functional diversity
- Published
- Accepted
- Subject Areas
- Biodiversity, Ecology, Marine Biology, Biological Oceanography
- Keywords
- Traits, Functional diversity, Methodology, Benthos
- Copyright
- © 2018 Houbin et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. Analyses of the links between species and functional diversity: the effects of methodological choices to assess functional diversity. PeerJ Preprints 6:e26746v1 https://doi.org/10.7287/peerj.preprints.26746v1
Abstract
While coastal ecosystems experience increasing pressures due to human activities and climate change, measurement of functional diversity based on the biological traits analysis (BTA) is increasingly used as a tool to assess ecosystem functioning and its responses to disturbance. A review of more than 80 papers published since 2003 highlights large differences in the methodology used to measure functional diversity, for instance in terms of the number of traits used, ranging from 3 to 25, the identity of the traits, the nature of the raw data (abundance vs. biomass). Using two different datasets on benthic macrofauna in the English Channel (i.e. a time-series of samples collected yearly from 1977 to 2016, and a spatial survey of 72 stations sampled once in 2016), we analysed how some methodological choices affect the measures of functional diversity, its spatial or temporal changes, and the links with species diversity. The local diversity was calculated from different diversity indices while multivariate methods were applied to describe β-diversity. A peculiar attention is given on the effects of two methodological choices: (1) the selection of biomass data rather than more commonly used abundance data, and (2) the differentiation between response traits and effect traits.
Author Comment
This is an abstract which has been accepted for the WCMB