Data and R codes for the research article "Functional biodiversity loss along natural CO2 gradients". Nature Communications

This repository contains the data files and R codes used to analyze the data and generate the results for this research article . Nuria Teixidó, Maria Cristina Gambi, Valeriano Parravacini, Kristy Kroeker, Fiorenza Micheli, Sebastien Villéger, Enric Ballesteros (2018) Functional biodiversity loss al...

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Bibliographic Details
Main Authors: Teixidó N, Gambi MC, Parravacini V, Kroeker K, Micheli F, Villéger S, Ballesteros E
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2018
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Online Access:https://doi.org/10.5281/zenodo.1475464
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Summary:This repository contains the data files and R codes used to analyze the data and generate the results for this research article . Nuria Teixidó, Maria Cristina Gambi, Valeriano Parravacini, Kristy Kroeker, Fiorenza Micheli, Sebastien Villéger, Enric Ballesteros (2018) Functional biodiversity loss along natural CO 2 gradients. Nature Communications. DOI:10.1038/s41467-018-07592-1. https://www.nature.com/articles/s41467-018-07592-1 Abstract: The effects of environmental change on biodiversity are still poorly understood. In particular, the consequences of shifts in species composition for marine ecosystem function are largely unknownwe assess the loss of functional diversity, i.e. the range of species biological traits, in benthic marine communities exposed to ocean acidification (OA) by using natural CO 2 vent systems. We found that functional richness is greatly reduced with acidification, and that functional loss is more pronounced than the corresponding decrease in taxonomic diversity. In acidified conditions, most organisms accounted for a few functional entities (i.e. unique combination of functional traits), resulting in low functional redundancy. These results suggest that functional richness is not buffered by functional redundancy under OA, even in highly diverse assemblages, such as rocky benthic communities. This research was supported by the National Geographic Society (Window to the Future, Grant No. 9771-15) and the Total Foundation (High-CO 2 Seas project, Grant No. BIO-2016-081-4). NT was supported by a Maire Curie- Cofund (FP7-PEOPLE- Marie Curie Bandiera- Cofund, GA No. 600407) and by a Marie Sklodowska-Curie Global Fellowship under the European Union’s Horizon 2020 research and innovation programme (H2020-MSCA- IF- 2015, GA No. 702628).