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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/40261

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oai_identifier_str oai:ri.conicet.gov.ar:11336/40261
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 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 Técnicas2025-09-29T10:39:57Zoai: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:34982025-09-29 10:39:57.83CONICET 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
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 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
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/1365-2664.12530
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
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dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844614426113605632
score 13.070432