Testing the link between functional diversity and ecosystem functioning in a Minnesota grassland experiment.

The functional diversity of a community can influence ecosystem functioning and reflects assembly processes. The large number of disparate metrics used to quantify functional diversity reflects the range of attributes underlying this concept, generally summarized as functional richness, functional e...

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Autores principales:	Christopher M Clark, Dan F B Flynn, Bradley J Butterfield, Peter B Reich
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4e516fa03e104e1f80143007a62cb8f6
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spelling	oai:doaj.org-article:4e516fa03e104e1f80143007a62cb8f62021-11-18T08:03:06ZTesting the link between functional diversity and ecosystem functioning in a Minnesota grassland experiment.1932-620310.1371/journal.pone.0052821https://doaj.org/article/4e516fa03e104e1f80143007a62cb8f62012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23300787/?tool=EBIhttps://doaj.org/toc/1932-6203The functional diversity of a community can influence ecosystem functioning and reflects assembly processes. The large number of disparate metrics used to quantify functional diversity reflects the range of attributes underlying this concept, generally summarized as functional richness, functional evenness, and functional divergence. However, in practice, we know very little about which attributes drive which ecosystem functions, due to a lack of field-based tests. Here we test the association between eight leading functional diversity metrics (Rao's Q, FD, FDis, FEve, FDiv, convex hull volume, and species and functional group richness) that emphasize different attributes of functional diversity, plus 11 extensions of these existing metrics that incorporate heterogeneous species abundances and trait variation. We assess the relationships among these metrics and compare their performances for predicting three key ecosystem functions (above- and belowground biomass and light capture) within a long-term grassland biodiversity experiment. Many metrics were highly correlated, although unique information was captured in FEve, FDiv, and dendrogram-based measures (FD) that were adjusted by abundance. FD adjusted by abundance outperformed all other metrics in predicting both above- and belowground biomass, although several others also performed well (e.g. Rao's Q, FDis, FDiv). More generally, trait-based richness metrics and hybrid metrics incorporating multiple diversity attributes outperformed evenness metrics and single-attribute metrics, results that were not changed when combinations of metrics were explored. For light capture, species richness alone was the best predictor, suggesting that traits for canopy architecture would be necessary to improve predictions. Our study provides a comprehensive test linking different attributes of functional diversity with ecosystem function for a grassland system.Christopher M ClarkDan F B FlynnBradley J ButterfieldPeter B ReichPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 12, p e52821 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Christopher M Clark Dan F B Flynn Bradley J Butterfield Peter B Reich Testing the link between functional diversity and ecosystem functioning in a Minnesota grassland experiment.
description	The functional diversity of a community can influence ecosystem functioning and reflects assembly processes. The large number of disparate metrics used to quantify functional diversity reflects the range of attributes underlying this concept, generally summarized as functional richness, functional evenness, and functional divergence. However, in practice, we know very little about which attributes drive which ecosystem functions, due to a lack of field-based tests. Here we test the association between eight leading functional diversity metrics (Rao's Q, FD, FDis, FEve, FDiv, convex hull volume, and species and functional group richness) that emphasize different attributes of functional diversity, plus 11 extensions of these existing metrics that incorporate heterogeneous species abundances and trait variation. We assess the relationships among these metrics and compare their performances for predicting three key ecosystem functions (above- and belowground biomass and light capture) within a long-term grassland biodiversity experiment. Many metrics were highly correlated, although unique information was captured in FEve, FDiv, and dendrogram-based measures (FD) that were adjusted by abundance. FD adjusted by abundance outperformed all other metrics in predicting both above- and belowground biomass, although several others also performed well (e.g. Rao's Q, FDis, FDiv). More generally, trait-based richness metrics and hybrid metrics incorporating multiple diversity attributes outperformed evenness metrics and single-attribute metrics, results that were not changed when combinations of metrics were explored. For light capture, species richness alone was the best predictor, suggesting that traits for canopy architecture would be necessary to improve predictions. Our study provides a comprehensive test linking different attributes of functional diversity with ecosystem function for a grassland system.
format	article
author	Christopher M Clark Dan F B Flynn Bradley J Butterfield Peter B Reich
author_facet	Christopher M Clark Dan F B Flynn Bradley J Butterfield Peter B Reich
author_sort	Christopher M Clark
title	Testing the link between functional diversity and ecosystem functioning in a Minnesota grassland experiment.
title_short	Testing the link between functional diversity and ecosystem functioning in a Minnesota grassland experiment.
title_full	Testing the link between functional diversity and ecosystem functioning in a Minnesota grassland experiment.
title_fullStr	Testing the link between functional diversity and ecosystem functioning in a Minnesota grassland experiment.
title_full_unstemmed	Testing the link between functional diversity and ecosystem functioning in a Minnesota grassland experiment.
title_sort	testing the link between functional diversity and ecosystem functioning in a minnesota grassland experiment.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/4e516fa03e104e1f80143007a62cb8f6
work_keys_str_mv	AT christophermclark testingthelinkbetweenfunctionaldiversityandecosystemfunctioninginaminnesotagrasslandexperiment AT danfbflynn testingthelinkbetweenfunctionaldiversityandecosystemfunctioninginaminnesotagrasslandexperiment AT bradleyjbutterfield testingthelinkbetweenfunctionaldiversityandecosystemfunctioninginaminnesotagrasslandexperiment AT peterbreich testingthelinkbetweenfunctionaldiversityandecosystemfunctioninginaminnesotagrasslandexperiment
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Testing the link between functional diversity and ecosystem functioning in a Minnesota grassland experiment.

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