Trait matching of flower visitors and crops predicts fruit set better than trait diversity

Garibaldi, Lucas A., Bartomeus, Ignasi, Bommarco, Riccardo, Klein, Alexandra M., Cunningham, Saul A., Aizen, Marcelo A., Boreux, Virginie, Garratt, Michael P.D., Carvalheiro, Luisa G., Kremen, Claire, Morales, Carolina L., Schuepp, Christof, Chacoff, Natacha P., Freitas, Breno M., Gagic, Vesna, Holzschuh, Andrea, Klatt, Bjorn K., Krewenka, Kristin M., Krishnan, Smitha, Mayfield, Margaret M., Motzke, Iris, Otieno, Mark, Petersen, Jessica, Potts, Simon G., Ricketts, Taylor H., Rundlof, Maj, Sciligo, Amber, Sinu, Palatty Allesh, Steffan-Dewenter, Ingolf, Taki, Hisatomo, Tscharntke, Teja, Vergara, Carlos H., Viana, Blandina F. and Woyciechowski, Michal (2015) Trait matching of flower visitors and crops predicts fruit set better than trait diversity. Journal of Applied Ecology, 52 6: 1436-1444. doi:10.1111/1365-2664.12530

Author Garibaldi, Lucas A.
Bartomeus, Ignasi
Bommarco, Riccardo
Klein, Alexandra M.
Cunningham, Saul A.
Aizen, Marcelo A.
Boreux, Virginie
Garratt, Michael P.D.
Carvalheiro, Luisa G.
Kremen, Claire
Morales, Carolina L.
Schuepp, Christof
Chacoff, Natacha P.
Freitas, Breno M.
Gagic, Vesna
Holzschuh, Andrea
Klatt, Bjorn K.
Krewenka, Kristin M.
Krishnan, Smitha
Mayfield, Margaret M.
Motzke, Iris
Otieno, Mark
Petersen, Jessica
Potts, Simon G.
Ricketts, Taylor H.
Rundlof, Maj
Sciligo, Amber
Sinu, Palatty Allesh
Steffan-Dewenter, Ingolf
Taki, Hisatomo
Tscharntke, Teja
Vergara, Carlos H.
Viana, Blandina F.
Woyciechowski, Michal
Title Trait matching of flower visitors and crops predicts fruit set better than trait diversity
Journal name Journal of Applied Ecology   Check publisher's open access policy
ISSN 1365-2664
Publication date 2015-09-22
Year available 2015
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1111/1365-2664.12530
Open Access Status Not yet assessed
Volume 52
Issue 6
Start page 1436
End page 1444
Total pages 9
Place of publication Oxford, United Kingdom
Publisher Wiley-Blackwell Publishing
Collection year 2016
Language eng
Formatted abstract
1. Understanding the relationships between trait diversity, species diversity and ecosystem functioning is essential for sustainable management. For functions comprising two trophic levels, trait matching between interacting partners should also drive functioning. However, the predictive ability of trait diversity and matching is unclear for most functions, particularly for crop pollination, where interacting partners did not necessarily co-evolve.

2. World-wide, we collected data on traits of flower visitors and crops, visitation rates to crop flowers per insect species and fruit set in 469 fields of 33 crop systems. Through hierarchical mixed-effects models, we tested whether flower visitor trait diversity and/or trait matching between flower visitors and crops improve the prediction of crop fruit set (functioning) beyond flower visitor species diversity and abundance.

3. Flower visitor trait diversity was positively related to fruit set, but surprisingly did not explain more variation than flower visitor species diversity.

4. The best prediction of fruit set was obtained by matching traits of flower visitors (body size and mouthpart length) and crops (nectar accessibility of flowers) in addition to flower visitor abundance, species richness and species evenness. Fruit set increased with species richness, and more so in assemblages with high evenness, indicating that additional species of flower visitors contribute more to crop pollination when species abundances are similar.

5. Synthesis and applications. Despite contrasting floral traits for crops world-wide, only the abundance of a few pollinator species is commonly managed for greater yield. Our results suggest that the identification and enhancement of pollinator species with traits matching those of the focal crop, as well as the enhancement of pollinator richness and evenness, will increase crop yield beyond current practices. Furthermore, we show that field practitioners can predict and manage agroecosystems for pollination services based on knowledge of just a few traits that are known for a wide range of flower visitor species.
Keyword Agroecosystems
Body size
Ecosystem functioning
Ecosystem services
Mouthpart length
Nectar accessibility
Trait evenness
Trait richness
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Official 2016 Collection
School of Biological Sciences Publications
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Citation counts: TR Web of Science Citation Count  Cited 5 times in Thomson Reuters Web of Science Article | Citations
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