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dc.contributor.author
Garibaldi, Lucas Alejandro
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dc.contributor.author
Bartomeus, Ignasi
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Bommarco, Riccardo
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Klein, Alexandra M.
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Cunningham, Saul A.
dc.contributor.author
Aizen, Marcelo Adrian
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dc.contributor.author
Boreux, Virginie
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Garratt, Michael P. D.
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Carvalheiro, Luisa G.
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Kremen, Claire
dc.contributor.author
Morales, Carolina Laura
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dc.contributor.author
Schuepp, Christof
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Chacoff, Natacha Paola
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Freitas, Breno M.
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Gagic, Vesna
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Holzschuh, Andrea
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Klatt, Bjorn K.
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Krewenka, Kristin M.
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Krishnan, Smitha
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Mayfield, Margaret M.
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Motzke, Iris
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Otieno, Mark
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Petersen, Jessica
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Potts, Simon G.
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Ricketts, Taylor H.
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Rundlof, Maj
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Sciligo, Amber
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Allesh Sinu, Palatty
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Steffan Dewenter, Ingolf
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Taki, Hisatomo
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Tscharntke, Teja
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Vergara, Carlos H.
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Viana, Blandina F.
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Woyciechowski, Michal
dc.date.available
2018-03-27T21:01:00Z
dc.date.issued
2015-12-22
dc.identifier.citation
Garibaldi, Lucas Alejandro; Bartomeus, Ignasi; Bommarco, Riccardo; Klein, Alexandra M.; Cunningham, Saul A.; et al.; Trait matching of flower visitors and crops predicts fruit set better than trait diversity; Wiley Blackwell Publishing, Inc; Journal of Applied Ecology; 52; 6; 22-12-2015; 1436-1444
dc.identifier.issn
0021-8901
dc.identifier.uri
http://hdl.handle.net/11336/40261
dc.description.abstract
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. 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. Flower visitor trait diversity was positively related to fruit set, but surprisingly did not explain more variation than flower visitor species diversity. 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. 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. 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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley Blackwell Publishing, Inc
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Agroecosystems
dc.subject
Body Size
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Ecosystem Functioning
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Ecosystem Services
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Mouthpart Length
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Nectar Accessibility
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Pollination
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Trait Evenness
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Trait Richness
dc.subject.classification
Otras Ciencias Biológicas
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dc.subject.classification
Ciencias Biológicas
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Trait matching of flower visitors and crops predicts fruit set better than trait diversity
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-03-02T17:33:51Z
dc.journal.volume
52
dc.journal.number
6
dc.journal.pagination
1436-1444
dc.journal.pais
Reino Unido
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dc.journal.ciudad
Londres
dc.description.fil
Fil: Garibaldi, Lucas Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rio Negro. Sede Andina; Argentina
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Fil: Bartomeus, Ignasi. Consejo Superior de Investigaciones Científicas. Estación Biológica de Doñana; España
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Fil: Bommarco, Riccardo. Swedish University of Agricultural Science; Suecia
dc.description.fil
Fil: Klein, Alexandra M.. University of Freiburg; Alemania
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Fil: Cunningham, Saul A.. Csiro Land And Water; Australia
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Fil: Aizen, Marcelo Adrian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
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Fil: Boreux, Virginie. University of Freiburg; Alemania
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Fil: Garratt, Michael P. D.. University of Reading; Reino Unido
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Fil: Carvalheiro, Luisa G.. University of Leeds; Reino Unido. Naturalis Biodiversity Center; Países Bajos. Universidade do Brasília; Brasil
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Fil: Kremen, Claire. University of California at Berkeley; Estados Unidos
dc.description.fil
Fil: Morales, Carolina Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
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Fil: Schuepp, Christof. University of Bern; Suiza. University of Koblenz-Landau; Alemania
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Fil: Chacoff, Natacha Paola. Universidad Nacional de Tucumán; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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Fil: Freitas, Breno M.. Universidade Estadual Do Ceara; Brasil
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Fil: Gagic, Vesna. Swedish University of Agricultural Science; Suecia
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Fil: Holzschuh, Andrea. Georg-August-University; Alemania. Universität Würzburg; Alemania
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Fil: Klatt, Bjorn K.. Georg-August-University; Alemania. Lund University; Suecia
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Fil: Krewenka, Kristin M.. Georg-August-University; Alemania. Universitat Hamburg; Alemania
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Fil: Krishnan, Smitha. Swiss Federal Institute of Technology Zurich; Suiza
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Fil: Mayfield, Margaret M.. The University Of Queensland; Australia
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Fil: Motzke, Iris. University of Freiburg; Alemania. Georg-August-University; Alemania
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Fil: Otieno, Mark. Embu University College; Kenia
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Fil: Petersen, Jessica. Cornell University; Estados Unidos
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Fil: Potts, Simon G.. University of Reading; Reino Unido
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Fil: Ricketts, Taylor H.. University of Vermont; Estados Unidos
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Fil: Rundlof, Maj. Lund University; Suecia
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Fil: Sciligo, Amber. University of California at Berkeley; Estados Unidos
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Fil: Allesh Sinu, Palatty. Central University of Kerala; India
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Fil: Steffan Dewenter, Ingolf. Universität Würzburg; Alemania
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Fil: Taki, Hisatomo. Forestry and Forest Products Research Institute; Japón
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Fil: Tscharntke, Teja. Georg-August-University; Alemania
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Fil: Vergara, Carlos H.. Universidad de las Americas Puebla; México
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Fil: Viana, Blandina F.. Universidade Federal da Bahia; Brasil
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Fil: Woyciechowski, Michal. Jagiellonian University; Polonia
dc.journal.title
Journal of Applied Ecology
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/1365-2664.12530
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/1365-2664.12530/abstract;jsessionid=69E769EBB6207BCF0B8E1C150A509423.f01t04
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