Trait matching of flower visitors and crops predicts fruit set better than trait diversity
- Autores
- Garibaldi, Lucas Alejandro; Bartomeus, Ignasi; Bommarco, Riccardo; Klein, Alexandra M.; Cunningham, Saul A.; Aizen, Marcelo Adrian; Boreux, Virginie; Garratt, Michael P. D.; Carvalheiro, Luisa G.; Kremen, Claire; Morales, Carolina Laura; Schuepp, Christof; Chacoff, Natacha Paola; 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; Allesh Sinu, Palatty; Steffan Dewenter, Ingolf; Taki, Hisatomo; Tscharntke, Teja; Vergara, Carlos H.; Viana, Blandina F.; Woyciechowski, Michal
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Fil: Garibaldi, Lucas Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rio Negro. Sede Andina; Argentina
Fil: Bartomeus, Ignasi. Consejo Superior de Investigaciones Científicas. Estación Biológica de Doñana; España
Fil: Bommarco, Riccardo. Swedish University of Agricultural Science; Suecia
Fil: Klein, Alexandra M.. University of Freiburg; Alemania
Fil: Cunningham, Saul A.. Csiro Land And Water; Australia
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
Fil: Boreux, Virginie. University of Freiburg; Alemania
Fil: Garratt, Michael P. D.. University of Reading; Reino Unido
Fil: Carvalheiro, Luisa G.. University of Leeds; Reino Unido. Naturalis Biodiversity Center; Países Bajos. Universidade do Brasília; Brasil
Fil: Kremen, Claire. University of California at Berkeley; Estados Unidos
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
Fil: Schuepp, Christof. University of Bern; Suiza. University of Koblenz-Landau; Alemania
Fil: Chacoff, Natacha Paola. Universidad Nacional de Tucumán; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Freitas, Breno M.. Universidade Estadual Do Ceara; Brasil
Fil: Gagic, Vesna. Swedish University of Agricultural Science; Suecia
Fil: Holzschuh, Andrea. Georg-August-University; Alemania. Universität Würzburg; Alemania
Fil: Klatt, Bjorn K.. Georg-August-University; Alemania. Lund University; Suecia
Fil: Krewenka, Kristin M.. Georg-August-University; Alemania. Universitat Hamburg; Alemania
Fil: Krishnan, Smitha. Swiss Federal Institute of Technology Zurich; Suiza
Fil: Mayfield, Margaret M.. The University Of Queensland; Australia
Fil: Motzke, Iris. University of Freiburg; Alemania. Georg-August-University; Alemania
Fil: Otieno, Mark. Embu University College; Kenia
Fil: Petersen, Jessica. Cornell University; Estados Unidos
Fil: Potts, Simon G.. University of Reading; Reino Unido
Fil: Ricketts, Taylor H.. University of Vermont; Estados Unidos
Fil: Rundlof, Maj. Lund University; Suecia
Fil: Sciligo, Amber. University of California at Berkeley; Estados Unidos
Fil: Allesh Sinu, Palatty. Central University of Kerala; India
Fil: Steffan Dewenter, Ingolf. Universität Würzburg; Alemania
Fil: Taki, Hisatomo. Forestry and Forest Products Research Institute; Japón
Fil: Tscharntke, Teja. Georg-August-University; Alemania
Fil: Vergara, Carlos H.. Universidad de las Americas Puebla; México
Fil: Viana, Blandina F.. Universidade Federal da Bahia; Brasil
Fil: Woyciechowski, Michal. Jagiellonian University; Polonia - Materia
-
Agroecosystems
Body Size
Ecosystem Functioning
Ecosystem Services
Mouthpart Length
Nectar Accessibility
Pollination
Trait Evenness
Trait Richness - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/40261
Ver los metadatos del registro completo
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Trait matching of flower visitors and crops predicts fruit set better than trait diversityGaribaldi, Lucas AlejandroBartomeus, IgnasiBommarco, RiccardoKlein, Alexandra M.Cunningham, Saul A.Aizen, Marcelo AdrianBoreux, VirginieGarratt, Michael P. D.Carvalheiro, Luisa G.Kremen, ClaireMorales, Carolina LauraSchuepp, ChristofChacoff, Natacha PaolaFreitas, Breno M.Gagic, VesnaHolzschuh, AndreaKlatt, Bjorn K.Krewenka, Kristin M.Krishnan, SmithaMayfield, Margaret M.Motzke, IrisOtieno, MarkPetersen, JessicaPotts, Simon G.Ricketts, Taylor H.Rundlof, MajSciligo, AmberAllesh Sinu, PalattySteffan Dewenter, IngolfTaki, HisatomoTscharntke, TejaVergara, Carlos H.Viana, Blandina F.Woyciechowski, MichalAgroecosystemsBody SizeEcosystem FunctioningEcosystem ServicesMouthpart LengthNectar AccessibilityPollinationTrait EvennessTrait Richnesshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Understanding 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.Fil: Garibaldi, Lucas Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rio Negro. Sede Andina; ArgentinaFil: Bartomeus, Ignasi. Consejo Superior de Investigaciones Científicas. Estación Biológica de Doñana; EspañaFil: Bommarco, Riccardo. Swedish University of Agricultural Science; SueciaFil: Klein, Alexandra M.. University of Freiburg; AlemaniaFil: Cunningham, Saul A.. Csiro Land And Water; AustraliaFil: 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; ArgentinaFil: Boreux, Virginie. University of Freiburg; AlemaniaFil: Garratt, Michael P. D.. University of Reading; Reino UnidoFil: Carvalheiro, Luisa G.. University of Leeds; Reino Unido. Naturalis Biodiversity Center; Países Bajos. Universidade do Brasília; BrasilFil: Kremen, Claire. University of California at Berkeley; Estados UnidosFil: 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; ArgentinaFil: Schuepp, Christof. University of Bern; Suiza. University of Koblenz-Landau; AlemaniaFil: Chacoff, Natacha Paola. Universidad Nacional de Tucumán; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Freitas, Breno M.. Universidade Estadual Do Ceara; BrasilFil: Gagic, Vesna. Swedish University of Agricultural Science; SueciaFil: Holzschuh, Andrea. Georg-August-University; Alemania. Universität Würzburg; AlemaniaFil: Klatt, Bjorn K.. Georg-August-University; Alemania. Lund University; SueciaFil: Krewenka, Kristin M.. Georg-August-University; Alemania. Universitat Hamburg; AlemaniaFil: Krishnan, Smitha. Swiss Federal Institute of Technology Zurich; SuizaFil: Mayfield, Margaret M.. The University Of Queensland; AustraliaFil: Motzke, Iris. University of Freiburg; Alemania. Georg-August-University; AlemaniaFil: Otieno, Mark. Embu University College; KeniaFil: Petersen, Jessica. Cornell University; Estados UnidosFil: Potts, Simon G.. University of Reading; Reino UnidoFil: Ricketts, Taylor H.. University of Vermont; Estados UnidosFil: Rundlof, Maj. Lund University; SueciaFil: Sciligo, Amber. University of California at Berkeley; Estados UnidosFil: Allesh Sinu, Palatty. Central University of Kerala; IndiaFil: Steffan Dewenter, Ingolf. Universität Würzburg; AlemaniaFil: Taki, Hisatomo. Forestry and Forest Products Research Institute; JapónFil: Tscharntke, Teja. Georg-August-University; AlemaniaFil: Vergara, Carlos H.. Universidad de las Americas Puebla; MéxicoFil: Viana, Blandina F.. Universidade Federal da Bahia; BrasilFil: Woyciechowski, Michal. Jagiellonian University; PoloniaWiley Blackwell Publishing, Inc2015-12-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/40261Garibaldi, 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; 1436-14440021-8901CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/1365-2664.12530info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/1365-2664.12530/abstract;jsessionid=69E769EBB6207BCF0B8E1C150A509423.f01t04info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:12:20Zoai:ri.conicet.gov.ar:11336/40261instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 12:12:20.534CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Trait matching of flower visitors and crops predicts fruit set better than trait diversity |
| title |
Trait matching of flower visitors and crops predicts fruit set better than trait diversity |
| spellingShingle |
Trait matching of flower visitors and crops predicts fruit set better than trait diversity Garibaldi, Lucas Alejandro Agroecosystems Body Size Ecosystem Functioning Ecosystem Services Mouthpart Length Nectar Accessibility Pollination Trait Evenness Trait Richness |
| title_short |
Trait matching of flower visitors and crops predicts fruit set better than trait diversity |
| title_full |
Trait matching of flower visitors and crops predicts fruit set better than trait diversity |
| title_fullStr |
Trait matching of flower visitors and crops predicts fruit set better than trait diversity |
| title_full_unstemmed |
Trait matching of flower visitors and crops predicts fruit set better than trait diversity |
| title_sort |
Trait matching of flower visitors and crops predicts fruit set better than trait diversity |
| dc.creator.none.fl_str_mv |
Garibaldi, Lucas Alejandro Bartomeus, Ignasi Bommarco, Riccardo Klein, Alexandra M. Cunningham, Saul A. Aizen, Marcelo Adrian Boreux, Virginie Garratt, Michael P. D. Carvalheiro, Luisa G. Kremen, Claire Morales, Carolina Laura Schuepp, Christof Chacoff, Natacha Paola 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 Allesh Sinu, Palatty Steffan Dewenter, Ingolf Taki, Hisatomo Tscharntke, Teja Vergara, Carlos H. Viana, Blandina F. Woyciechowski, Michal |
| author |
Garibaldi, Lucas Alejandro |
| author_facet |
Garibaldi, Lucas Alejandro Bartomeus, Ignasi Bommarco, Riccardo Klein, Alexandra M. Cunningham, Saul A. Aizen, Marcelo Adrian Boreux, Virginie Garratt, Michael P. D. Carvalheiro, Luisa G. Kremen, Claire Morales, Carolina Laura Schuepp, Christof Chacoff, Natacha Paola 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 Allesh Sinu, Palatty Steffan Dewenter, Ingolf Taki, Hisatomo Tscharntke, Teja Vergara, Carlos H. Viana, Blandina F. Woyciechowski, Michal |
| author_role |
author |
| author2 |
Bartomeus, Ignasi Bommarco, Riccardo Klein, Alexandra M. Cunningham, Saul A. Aizen, Marcelo Adrian Boreux, Virginie Garratt, Michael P. D. Carvalheiro, Luisa G. Kremen, Claire Morales, Carolina Laura Schuepp, Christof Chacoff, Natacha Paola 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 Allesh Sinu, Palatty Steffan Dewenter, Ingolf Taki, Hisatomo Tscharntke, Teja Vergara, Carlos H. Viana, Blandina F. Woyciechowski, Michal |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Agroecosystems Body Size Ecosystem Functioning Ecosystem Services Mouthpart Length Nectar Accessibility Pollination Trait Evenness Trait Richness |
| topic |
Agroecosystems Body Size Ecosystem Functioning Ecosystem Services Mouthpart Length Nectar Accessibility Pollination Trait Evenness Trait Richness |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
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. Fil: Garibaldi, Lucas Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rio Negro. Sede Andina; Argentina Fil: Bartomeus, Ignasi. Consejo Superior de Investigaciones Científicas. Estación Biológica de Doñana; España Fil: Bommarco, Riccardo. Swedish University of Agricultural Science; Suecia Fil: Klein, Alexandra M.. University of Freiburg; Alemania Fil: Cunningham, Saul A.. Csiro Land And Water; Australia 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 Fil: Boreux, Virginie. University of Freiburg; Alemania Fil: Garratt, Michael P. D.. University of Reading; Reino Unido Fil: Carvalheiro, Luisa G.. University of Leeds; Reino Unido. Naturalis Biodiversity Center; Países Bajos. Universidade do Brasília; Brasil Fil: Kremen, Claire. University of California at Berkeley; Estados Unidos 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 Fil: Schuepp, Christof. University of Bern; Suiza. University of Koblenz-Landau; Alemania Fil: Chacoff, Natacha Paola. Universidad Nacional de Tucumán; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Freitas, Breno M.. Universidade Estadual Do Ceara; Brasil Fil: Gagic, Vesna. Swedish University of Agricultural Science; Suecia Fil: Holzschuh, Andrea. Georg-August-University; Alemania. Universität Würzburg; Alemania Fil: Klatt, Bjorn K.. Georg-August-University; Alemania. Lund University; Suecia Fil: Krewenka, Kristin M.. Georg-August-University; Alemania. Universitat Hamburg; Alemania Fil: Krishnan, Smitha. Swiss Federal Institute of Technology Zurich; Suiza Fil: Mayfield, Margaret M.. The University Of Queensland; Australia Fil: Motzke, Iris. University of Freiburg; Alemania. Georg-August-University; Alemania Fil: Otieno, Mark. Embu University College; Kenia Fil: Petersen, Jessica. Cornell University; Estados Unidos Fil: Potts, Simon G.. University of Reading; Reino Unido Fil: Ricketts, Taylor H.. University of Vermont; Estados Unidos Fil: Rundlof, Maj. Lund University; Suecia Fil: Sciligo, Amber. University of California at Berkeley; Estados Unidos Fil: Allesh Sinu, Palatty. Central University of Kerala; India Fil: Steffan Dewenter, Ingolf. Universität Würzburg; Alemania Fil: Taki, Hisatomo. Forestry and Forest Products Research Institute; Japón Fil: Tscharntke, Teja. Georg-August-University; Alemania Fil: Vergara, Carlos H.. Universidad de las Americas Puebla; México Fil: Viana, Blandina F.. Universidade Federal da Bahia; Brasil Fil: Woyciechowski, Michal. Jagiellonian University; Polonia |
| description |
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. |
| publishDate |
2015 |
| dc.date.none.fl_str_mv |
2015-12-22 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
| status_str |
publishedVersion |
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http://hdl.handle.net/11336/40261 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 0021-8901 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/40261 |
| identifier_str_mv |
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 0021-8901 CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
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eng |
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info:eu-repo/semantics/altIdentifier/doi/10.1111/1365-2664.12530 info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/1365-2664.12530/abstract;jsessionid=69E769EBB6207BCF0B8E1C150A509423.f01t04 |
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Wiley Blackwell Publishing, Inc |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
| repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
| _version_ |
1846782519487234048 |
| score |
12.982451 |