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Biodiversity effects and transgressive overyielding


Schmid, B; Hector, A; Saha, P; Loreau, M (2008). Biodiversity effects and transgressive overyielding. Journal of Plant Ecology, 1(2):95-102.

Abstract

Aims
The potential for mixtures of plant species to produce more biomass than every one of their constituent species in monoculture is still controversially discussed in the literature. Here we tested how this socalled transgressiveoveryielding is affected by variation between and within species in monoculture yields in biodiversity experiments.

Methods
We use basic statistical principles to calculate expected maximum monoculture yield in a species pool used for a biodiversity experiment. Using a real example we show how between- and withinspecies variance components in monoculture yields can be obtained. Combining the two components we estimate the importance of sampling bias in transgressive overyielding analysis.

Important Findings
The net biodiversity effect (difference between mixture and average monoculture yield) needed to achieve transgressive overyielding increases with the number of species in a mixture and with the variation between constituent species in monoculture yields. If there is no significant variation between species, transgressive overyielding should not be calculated using the best monoculture, because in
this case the difference between this species and the other species could exclusively reflect a sampling bias. The sampling bias decreases with increasing variation between species. Tests for transgressive overyielding require replicated species’ monocultures. However, it can be doubted whether such an emphasis on monocultures in biodiversity experiments is justified if an analysis of transgressive
overyielding is not the major goal.

Abstract

Aims
The potential for mixtures of plant species to produce more biomass than every one of their constituent species in monoculture is still controversially discussed in the literature. Here we tested how this socalled transgressiveoveryielding is affected by variation between and within species in monoculture yields in biodiversity experiments.

Methods
We use basic statistical principles to calculate expected maximum monoculture yield in a species pool used for a biodiversity experiment. Using a real example we show how between- and withinspecies variance components in monoculture yields can be obtained. Combining the two components we estimate the importance of sampling bias in transgressive overyielding analysis.

Important Findings
The net biodiversity effect (difference between mixture and average monoculture yield) needed to achieve transgressive overyielding increases with the number of species in a mixture and with the variation between constituent species in monoculture yields. If there is no significant variation between species, transgressive overyielding should not be calculated using the best monoculture, because in
this case the difference between this species and the other species could exclusively reflect a sampling bias. The sampling bias decreases with increasing variation between species. Tests for transgressive overyielding require replicated species’ monocultures. However, it can be doubted whether such an emphasis on monocultures in biodiversity experiments is justified if an analysis of transgressive
overyielding is not the major goal.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Language:English
Date:May 2008
Deposited On:22 Jul 2008 12:57
Last Modified:05 Apr 2016 12:24
Publisher:Oxford University Press
ISSN:1752-9921
Additional Information:This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Journal of Plant Ecology following peer review. The definitive publisher-authenticated version [Journal of Plant Ecology 2008, 1(2):95-102] is available online at: http://jpe.oxfordjournals.org/cgi/content/abstract/1/2/95.
Publisher DOI:https://doi.org/10.1093/jpe/rtn011

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