Impacts of honeybee density on crop yield: A meta-analysis
- Autores
- Rollin, Orianne; Garibaldi, Lucas Alejandro
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión aceptada
- Descripción
- Fil: Rollin, Orianne. Universidad Nacional de Río Negro. Sede Andina; Argentina.
Fil: Garibaldi, Lucas Alejandro. Universidad Nacional de Río Negro. Sede Andina; Argentina.
There is increasing recognition that pollination deficits are limiting crop yields world-wide. However, management strategies for optimal insect pollination are still unclear for most crops. Current management focuses on providing high densities of honeybees, but recommended densities are highly variable, even within single crops and cultivars. 2. We performed an extensive literature search to record honeybee densities (colony density and/or flower visitation rates) and crop productivity (fruit set, seed set, fruit weight and/or yield). Effect sizes were represented as the difference in crop productivity between the two most extreme levels of honeybee densities. 3. Out of 795 reviewed studies, only 22 analysed the effect of at least two levels of honeybee densities on crop productivity (reporting 60 resulting effect sizes in total). Moreover, few recommendations for crop pollination management are based on results from controlled experimental designs, and with comparable methodology. 4. We found that both colony density and visitation rates increased all the productivity variables. However, effects were nonlinear for visitation rates, suggesting that there is an optimum (mean of 8–10 visits per flower) beyond which more honeybees are not beneficial (and can even be detrimental) for crop productivity. 5. Effect sizes for visitation rates were greater than that for colony densities, suggesting that visitation rates are a more direct measure of the pollination process. Data on the relation between colony density and visitation rates are lacking. Interestingly, effect sizes for visitation rates were greater for crops with separate sexes than those with hermaphroditic flowers; therefore, the benefits of honeybee pollination vary according to the crop biology. 6. Synthesis and applications. Current practices for crop pollination assume that more honeybees are always better for crop yield, even if the effect of this management on crop production still unclear. In contrast, our analyses suggest that there is an optimum for honeybee densities. Despite the importance of honeybees and pollinator-dependent crops world wide, there is a lack of studies designed for finding such an optimal level of crop pollination. Our analyses further suggest that visitation rates could be used as a proxy to guide management recommendations such as colony density and spatial arrangement. - Materia
-
Ciencias Exactas y Naturales
Crop Vield
Fruit Set
Fruit Weight
Honeybee Colony Density
Pollination
Seed Set
Visitation Rate
Ciencias Exactas y Naturales - Nivel de accesibilidad
- acceso embargado
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de Río Negro
- OAI Identificador
- oai:rid.unrn.edu.ar:20.500.12049/2319
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Impacts of honeybee density on crop yield: A meta-analysisRollin, OrianneGaribaldi, Lucas AlejandroCiencias Exactas y NaturalesCrop VieldFruit SetFruit WeightHoneybee Colony DensityPollinationSeed SetVisitation RateCiencias Exactas y NaturalesFil: Rollin, Orianne. Universidad Nacional de Río Negro. Sede Andina; Argentina.Fil: Garibaldi, Lucas Alejandro. Universidad Nacional de Río Negro. Sede Andina; Argentina.There is increasing recognition that pollination deficits are limiting crop yields world-wide. However, management strategies for optimal insect pollination are still unclear for most crops. Current management focuses on providing high densities of honeybees, but recommended densities are highly variable, even within single crops and cultivars. 2. We performed an extensive literature search to record honeybee densities (colony density and/or flower visitation rates) and crop productivity (fruit set, seed set, fruit weight and/or yield). Effect sizes were represented as the difference in crop productivity between the two most extreme levels of honeybee densities. 3. Out of 795 reviewed studies, only 22 analysed the effect of at least two levels of honeybee densities on crop productivity (reporting 60 resulting effect sizes in total). Moreover, few recommendations for crop pollination management are based on results from controlled experimental designs, and with comparable methodology. 4. We found that both colony density and visitation rates increased all the productivity variables. However, effects were nonlinear for visitation rates, suggesting that there is an optimum (mean of 8–10 visits per flower) beyond which more honeybees are not beneficial (and can even be detrimental) for crop productivity. 5. Effect sizes for visitation rates were greater than that for colony densities, suggesting that visitation rates are a more direct measure of the pollination process. Data on the relation between colony density and visitation rates are lacking. Interestingly, effect sizes for visitation rates were greater for crops with separate sexes than those with hermaphroditic flowers; therefore, the benefits of honeybee pollination vary according to the crop biology. 6. Synthesis and applications. Current practices for crop pollination assume that more honeybees are always better for crop yield, even if the effect of this management on crop production still unclear. In contrast, our analyses suggest that there is an optimum for honeybee densities. Despite the importance of honeybees and pollinator-dependent crops world wide, there is a lack of studies designed for finding such an optimal level of crop pollination. Our analyses further suggest that visitation rates could be used as a proxy to guide management recommendations such as colony density and spatial arrangement.info:eu-repo/date/embargoEnd/2050-03-012018-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfRollin, O., & Garibaldi, L. A. Impacts of honeybee density on crop yield: A meta‐analysis. Journal of Applied Ecology; 56 (5); 1152-11631365-2664http://rid.unrn.edu.ar/jspui/handle/20.500.12049/2319https://doi.org/10.1111/1365-2664.13355engJournal of Applied Ecologyinfo:eu-repo/semantics/embargoedAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/reponame:RID-UNRN (UNRN)instname:Universidad Nacional de Río Negro2025-10-16T10:05:46Zoai:rid.unrn.edu.ar:20.500.12049/2319instacron:UNRNInstitucionalhttps://rid.unrn.edu.ar/jspui/Universidad públicaNo correspondehttps://rid.unrn.edu.ar/oai/snrdrid@unrn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:43692025-10-16 10:05:46.514RID-UNRN (UNRN) - Universidad Nacional de Río Negrofalse |
dc.title.none.fl_str_mv |
Impacts of honeybee density on crop yield: A meta-analysis |
title |
Impacts of honeybee density on crop yield: A meta-analysis |
spellingShingle |
Impacts of honeybee density on crop yield: A meta-analysis Rollin, Orianne Ciencias Exactas y Naturales Crop Vield Fruit Set Fruit Weight Honeybee Colony Density Pollination Seed Set Visitation Rate Ciencias Exactas y Naturales |
title_short |
Impacts of honeybee density on crop yield: A meta-analysis |
title_full |
Impacts of honeybee density on crop yield: A meta-analysis |
title_fullStr |
Impacts of honeybee density on crop yield: A meta-analysis |
title_full_unstemmed |
Impacts of honeybee density on crop yield: A meta-analysis |
title_sort |
Impacts of honeybee density on crop yield: A meta-analysis |
dc.creator.none.fl_str_mv |
Rollin, Orianne Garibaldi, Lucas Alejandro |
author |
Rollin, Orianne |
author_facet |
Rollin, Orianne Garibaldi, Lucas Alejandro |
author_role |
author |
author2 |
Garibaldi, Lucas Alejandro |
author2_role |
author |
dc.subject.none.fl_str_mv |
Ciencias Exactas y Naturales Crop Vield Fruit Set Fruit Weight Honeybee Colony Density Pollination Seed Set Visitation Rate Ciencias Exactas y Naturales |
topic |
Ciencias Exactas y Naturales Crop Vield Fruit Set Fruit Weight Honeybee Colony Density Pollination Seed Set Visitation Rate Ciencias Exactas y Naturales |
dc.description.none.fl_txt_mv |
Fil: Rollin, Orianne. Universidad Nacional de Río Negro. Sede Andina; Argentina. Fil: Garibaldi, Lucas Alejandro. Universidad Nacional de Río Negro. Sede Andina; Argentina. There is increasing recognition that pollination deficits are limiting crop yields world-wide. However, management strategies for optimal insect pollination are still unclear for most crops. Current management focuses on providing high densities of honeybees, but recommended densities are highly variable, even within single crops and cultivars. 2. We performed an extensive literature search to record honeybee densities (colony density and/or flower visitation rates) and crop productivity (fruit set, seed set, fruit weight and/or yield). Effect sizes were represented as the difference in crop productivity between the two most extreme levels of honeybee densities. 3. Out of 795 reviewed studies, only 22 analysed the effect of at least two levels of honeybee densities on crop productivity (reporting 60 resulting effect sizes in total). Moreover, few recommendations for crop pollination management are based on results from controlled experimental designs, and with comparable methodology. 4. We found that both colony density and visitation rates increased all the productivity variables. However, effects were nonlinear for visitation rates, suggesting that there is an optimum (mean of 8–10 visits per flower) beyond which more honeybees are not beneficial (and can even be detrimental) for crop productivity. 5. Effect sizes for visitation rates were greater than that for colony densities, suggesting that visitation rates are a more direct measure of the pollination process. Data on the relation between colony density and visitation rates are lacking. Interestingly, effect sizes for visitation rates were greater for crops with separate sexes than those with hermaphroditic flowers; therefore, the benefits of honeybee pollination vary according to the crop biology. 6. Synthesis and applications. Current practices for crop pollination assume that more honeybees are always better for crop yield, even if the effect of this management on crop production still unclear. In contrast, our analyses suggest that there is an optimum for honeybee densities. Despite the importance of honeybees and pollinator-dependent crops world wide, there is a lack of studies designed for finding such an optimal level of crop pollination. Our analyses further suggest that visitation rates could be used as a proxy to guide management recommendations such as colony density and spatial arrangement. |
description |
Fil: Rollin, Orianne. Universidad Nacional de Río Negro. Sede Andina; Argentina. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11 info:eu-repo/date/embargoEnd/2050-03-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
acceptedVersion |
dc.identifier.none.fl_str_mv |
Rollin, O., & Garibaldi, L. A. Impacts of honeybee density on crop yield: A meta‐analysis. Journal of Applied Ecology; 56 (5); 1152-1163 1365-2664 http://rid.unrn.edu.ar/jspui/handle/20.500.12049/2319 https://doi.org/10.1111/1365-2664.13355 |
identifier_str_mv |
Rollin, O., & Garibaldi, L. A. Impacts of honeybee density on crop yield: A meta‐analysis. Journal of Applied Ecology; 56 (5); 1152-1163 1365-2664 |
url |
http://rid.unrn.edu.ar/jspui/handle/20.500.12049/2319 https://doi.org/10.1111/1365-2664.13355 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Applied Ecology |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/embargoedAccess https://creativecommons.org/licenses/by-nc-sa/4.0/ |
eu_rights_str_mv |
embargoedAccess |
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https://creativecommons.org/licenses/by-nc-sa/4.0/ |
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application/pdf |
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reponame:RID-UNRN (UNRN) instname:Universidad Nacional de Río Negro |
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Universidad Nacional de Río Negro |
repository.name.fl_str_mv |
RID-UNRN (UNRN) - Universidad Nacional de Río Negro |
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rid@unrn.edu.ar |
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12.712165 |