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Meta-analysis reveals that pollinator functional diversity and abundance enhance crop pollination and yield

Authors: Simon G. Potts; Jane C. Stout; Maj Rundlöf; Yi Zou; Arran Greenop; Jorge Ari Noriega; Lora A. Morandin; +19 Authors

Meta-analysis reveals that pollinator functional diversity and abundance enhance crop pollination and yield

Abstract

AbstractHow insects promote crop pollination remains poorly understood in terms of the contribution of functional trait differences between species. We used meta-analyses to test for correlations between community abundance, species richness and functional trait metrics with oilseed rape yield, a globally important crop. While overall abundance is consistently important in predicting yield, functional divergence between species traits also showed a positive correlation. This result supports the complementarity hypothesis that pollination function is maintained by non-overlapping trait distributions. In artificially constructed communities (mesocosms), species richness is positively correlated with yield, although this effect is not seen under field conditions. As traits of the dominant species do not predict yield above that attributed to the effect of abundance alone, we find no evidence in support of the mass ratio hypothesis. Management practices increasing not just pollinator abundance, but also functional divergence, could benefit oilseed rape agriculture.

Keywords

agroecology, Crops, Agricultural, 570, Insecta, AGRICULTURE, Science, DIVERSITY, 577, Environmental impacts of agriculture, 630, Article, crop pollination, Smart & Sustainable Planet, Life Science, Animals, environmental sciences, Pollination, CROPS, agriculture, Pollinators, Q, Brassica rapa, oilseed rape agriculture, Biodiversity, Bees, Sustainable Agriculture, Crop Production, Insects, correlations between community abundance, POLLINATION, BIODIVERSITY, ddc:570, ecosystem services

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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