The species composition-ecosystem function relationship: A global meta-analysis using data from intact and recovering ecosystems.

The idea that biodiversity is necessary in order for ecosystems to function properly has long been used as a basic argument for the conservation of species, and has led to an abundance of research exploring the relationships between species richness and ecosystem function. Here we present a meta-ana...

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Main Authors: Peter J Carrick, Katherine J Forsythe
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0236550
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spelling doaj-a1e1e2e4e5da4b7683824935213e244e2021-03-03T21:59:16ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01157e023655010.1371/journal.pone.0236550The species composition-ecosystem function relationship: A global meta-analysis using data from intact and recovering ecosystems.Peter J CarrickKatherine J ForsytheThe idea that biodiversity is necessary in order for ecosystems to function properly has long been used as a basic argument for the conservation of species, and has led to an abundance of research exploring the relationships between species richness and ecosystem function. Here we present a meta-analysis of global ecosystems using the Bray-Curtis index to explore more complex changes in the species composition of natural ecosystems, and their relationship with ecosystem functions. By using data recorded, firstly in reference sites and secondly in recovering sites, captured in restoration ecology studies, we pose the following questions: Firstly, how much variation is there in species composition and in ecosystem function in an intact ecosystem? Secondly, once an ecosystem has become degraded, is there a general relationship between its recovery in species composition and its recovery in ecosystem function? Thirdly, is this relationship the same for all types of ecosystem functions? Data from 21 studies yielded 478 comparisons of mean values for ecosystems. On Average, sites within the same intact natural ecosystems shared only a 48% similarity in species composition but were 69% similar in ecosystem functioning. In recovering ecosystems the relationship between species composition and ecosystem function was weak and saturating (directly accounting for only 2% of the variation). Only two of the six types of ecosystem function examined, biomass and biotic structure, showed a significant relationship with species composition, and the three types that measured soil functions showed no significant relationship. To date, most biodiversity-ecosystem function (BEF) research has been conducted in simplified ecosystems using the simple species richness metric. This study encourages a broader examination of the drivers of ecosystem functions under realistic scenarios of biodiversity change, and highlights the need to properly account for the extensive natural variation.https://doi.org/10.1371/journal.pone.0236550
collection DOAJ
language English
format Article
sources DOAJ
author Peter J Carrick
Katherine J Forsythe
spellingShingle Peter J Carrick
Katherine J Forsythe
The species composition-ecosystem function relationship: A global meta-analysis using data from intact and recovering ecosystems.
PLoS ONE
author_facet Peter J Carrick
Katherine J Forsythe
author_sort Peter J Carrick
title The species composition-ecosystem function relationship: A global meta-analysis using data from intact and recovering ecosystems.
title_short The species composition-ecosystem function relationship: A global meta-analysis using data from intact and recovering ecosystems.
title_full The species composition-ecosystem function relationship: A global meta-analysis using data from intact and recovering ecosystems.
title_fullStr The species composition-ecosystem function relationship: A global meta-analysis using data from intact and recovering ecosystems.
title_full_unstemmed The species composition-ecosystem function relationship: A global meta-analysis using data from intact and recovering ecosystems.
title_sort species composition-ecosystem function relationship: a global meta-analysis using data from intact and recovering ecosystems.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description The idea that biodiversity is necessary in order for ecosystems to function properly has long been used as a basic argument for the conservation of species, and has led to an abundance of research exploring the relationships between species richness and ecosystem function. Here we present a meta-analysis of global ecosystems using the Bray-Curtis index to explore more complex changes in the species composition of natural ecosystems, and their relationship with ecosystem functions. By using data recorded, firstly in reference sites and secondly in recovering sites, captured in restoration ecology studies, we pose the following questions: Firstly, how much variation is there in species composition and in ecosystem function in an intact ecosystem? Secondly, once an ecosystem has become degraded, is there a general relationship between its recovery in species composition and its recovery in ecosystem function? Thirdly, is this relationship the same for all types of ecosystem functions? Data from 21 studies yielded 478 comparisons of mean values for ecosystems. On Average, sites within the same intact natural ecosystems shared only a 48% similarity in species composition but were 69% similar in ecosystem functioning. In recovering ecosystems the relationship between species composition and ecosystem function was weak and saturating (directly accounting for only 2% of the variation). Only two of the six types of ecosystem function examined, biomass and biotic structure, showed a significant relationship with species composition, and the three types that measured soil functions showed no significant relationship. To date, most biodiversity-ecosystem function (BEF) research has been conducted in simplified ecosystems using the simple species richness metric. This study encourages a broader examination of the drivers of ecosystem functions under realistic scenarios of biodiversity change, and highlights the need to properly account for the extensive natural variation.
url https://doi.org/10.1371/journal.pone.0236550
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