Impacts of honeybee density on crop yield: A meta‐analysis
- Autores
- Rollin, Orianne; Garibaldi, Lucas Alejandro
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Fil: Rollin, Orianne. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Rollin, Orianne. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Garibaldi, Lucas A. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Garibaldi, Lucas A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, 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. 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. 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. 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. 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. 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
-
Biodiversidad y Conservación
Ecología
Crop Yield
Fruit Set
Fruit Weight
Honeybee Colony Density
Pollination
Seed Set
Visitation Rate
Biodiversidad y Conservación
Ecología - Nivel de accesibilidad
- acceso abierto
- 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:20.500.12049/5506
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Impacts of honeybee density on crop yield: A meta‐analysisRollin, OrianneGaribaldi, Lucas AlejandroBiodiversidad y ConservaciónEcologíaCrop YieldFruit SetFruit WeightHoneybee Colony DensityPollinationSeed SetVisitation RateBiodiversidad y ConservaciónEcologíaFil: Rollin, Orianne. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.Fil: Rollin, Orianne. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.Fil: Garibaldi, Lucas A. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.Fil: Garibaldi, Lucas A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, 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. 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. 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. 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. 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. 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..Wiley2019-02-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfRollin, O., & Garibaldi, L. A. (2019). Impacts of honeybee density on crop yield: A meta‐analysis. Journal of Applied Ecology; 56(5); 1152-1163.0021-8901https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/1365-2664.13355http://rid.unrn.edu.ar/handle/20.500.12049/5506eng56 (5)Journal of Applied Ecologyinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/reponame:RID-UNRN (UNRN)instname:Universidad Nacional de Río Negro2025-10-16T10:05:53Zoai:rid.unrn.edu.ar:20.500.12049/5506instacron:UNRNInstitucionalhttps://rid.unrn.edu.ar/jspui/Universidad públicaNo correspondehttps://rid.unrn.edu.ar/oai/snrdrid@unrn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:43692025-10-16 10:05:54.182RID-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 Biodiversidad y Conservación Ecología Crop Yield Fruit Set Fruit Weight Honeybee Colony Density Pollination Seed Set Visitation Rate Biodiversidad y Conservación Ecología |
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 |
Biodiversidad y Conservación Ecología Crop Yield Fruit Set Fruit Weight Honeybee Colony Density Pollination Seed Set Visitation Rate Biodiversidad y Conservación Ecología |
topic |
Biodiversidad y Conservación Ecología Crop Yield Fruit Set Fruit Weight Honeybee Colony Density Pollination Seed Set Visitation Rate Biodiversidad y Conservación Ecología |
dc.description.none.fl_txt_mv |
Fil: Rollin, Orianne. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina. Fil: Rollin, Orianne. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina. Fil: Garibaldi, Lucas A. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina. Fil: Garibaldi, Lucas A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, 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. 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. 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. 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. 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. 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. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-02-03 |
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 |
Rollin, O., & Garibaldi, L. A. (2019). Impacts of honeybee density on crop yield: A meta‐analysis. Journal of Applied Ecology; 56(5); 1152-1163. 0021-8901 https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/1365-2664.13355 http://rid.unrn.edu.ar/handle/20.500.12049/5506 |
identifier_str_mv |
Rollin, O., & Garibaldi, L. A. (2019). Impacts of honeybee density on crop yield: A meta‐analysis. Journal of Applied Ecology; 56(5); 1152-1163. 0021-8901 |
url |
https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/1365-2664.13355 http://rid.unrn.edu.ar/handle/20.500.12049/5506 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
56 (5) Journal of Applied Ecology |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/4.0/ |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/4.0/ |
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Wiley |
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Wiley |
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reponame:RID-UNRN (UNRN) instname:Universidad Nacional de Río Negro |
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RID-UNRN (UNRN) - Universidad Nacional de Río Negro |
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