A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera
- Autores
- Joseph, Julien; Santibáñez, Fernanda; Laguna, María Fabiana; Abramson, Guillermo; Kuperman, Marcelo N.; Garibaldi, Lucas Alejandro
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Fil: Joseph, Julien. Université de Lyon. École Normale Supérieure de Lyon; Francia.
Fil: Joseph, Julien. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina.
Fil: Santibáñez, Fernanda. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina.
Fil: Santibáñez, Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina.
Fil: Laguna, María Fabiana. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina.
Fil: Abramson, Guillermo. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina.
Fil: Abramson, Guillermo. Universidad Nacional de Cuyo. Instituto Balseiro; Argentina.
Fil: Kuperman, Marcelo N. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina.
Fil: Kuperman, Marcelo N. Universidad Nacional de Cuyo. Instituto Balseiro; Argentina.
Fil: Garibaldi, Lucas A. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina.
Fil: Garibaldi, Lucas A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina.
Apis mellifera plays a crucial role as pollinator of the majority of crops linked to food production and thus its presence is currently fundamental to our health and survival. The composition and configuration of the landscape in which Apis mellifera lives will likely determine the well-being of the hives and the pollination service that their members can provide to the crops. Here we present a spatially explicit model that predicts the spatial distribution of visits by Apis mellifera to crops, by simulating daily trips of honey bees, the demographical dynamic of each hive and their honey production. This model goes beyond existing approaches by including 1) a flower resource affected by the feedback interaction between nectar extraction, pollination, blossoming and repeated visits, 2) a pollinators dynamic that allows competition through short term resource depletion, 3) a probabilistic approach of the foraging behavior, modeling the fact that the pollinators have only partial knowledge of the resource on their surroundings, and 4) the specific and systematic foraging behavior and strategies of Apis mellifera at the moment of choosing foraging sites, as opposed to those adopted by solitary and wild pollinators. With a balance between simplicity and realism we show the importance of keeping a minimal fraction of natural habitat in an agricultural landscape. We also evaluate the effects of the landscape’s structure on pollination, and demonstrate that there exists an optimal size of natural habitat patches that maximizes the pollination service for a fixed fraction of natural habitat.
- - Materia
-
Biodiversidad y Conservación
Pollination
Apis Mellifera
Competition
Landscape Structure
Ecological Intensification
Biodiversidad y Conservación - 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:20.500.12049/5600
Ver los metadatos del registro completo
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A spatially extended model to assess the role of landscape structure on the pollination service of Apis melliferaJoseph, JulienSantibáñez, FernandaLaguna, María FabianaAbramson, GuillermoKuperman, Marcelo N.Garibaldi, Lucas AlejandroBiodiversidad y ConservaciónPollinationApis MelliferaCompetitionLandscape StructureEcological IntensificationBiodiversidad y ConservaciónFil: Joseph, Julien. Université de Lyon. École Normale Supérieure de Lyon; Francia.Fil: Joseph, Julien. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina.Fil: Santibáñez, Fernanda. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina.Fil: Santibáñez, Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina.Fil: Laguna, María Fabiana. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina.Fil: Abramson, Guillermo. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina.Fil: Abramson, Guillermo. Universidad Nacional de Cuyo. Instituto Balseiro; Argentina.Fil: Kuperman, Marcelo N. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina.Fil: Kuperman, Marcelo N. Universidad Nacional de Cuyo. Instituto Balseiro; Argentina.Fil: Garibaldi, Lucas A. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina.Fil: Garibaldi, Lucas A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina.Apis mellifera plays a crucial role as pollinator of the majority of crops linked to food production and thus its presence is currently fundamental to our health and survival. The composition and configuration of the landscape in which Apis mellifera lives will likely determine the well-being of the hives and the pollination service that their members can provide to the crops. Here we present a spatially explicit model that predicts the spatial distribution of visits by Apis mellifera to crops, by simulating daily trips of honey bees, the demographical dynamic of each hive and their honey production. This model goes beyond existing approaches by including 1) a flower resource affected by the feedback interaction between nectar extraction, pollination, blossoming and repeated visits, 2) a pollinators dynamic that allows competition through short term resource depletion, 3) a probabilistic approach of the foraging behavior, modeling the fact that the pollinators have only partial knowledge of the resource on their surroundings, and 4) the specific and systematic foraging behavior and strategies of Apis mellifera at the moment of choosing foraging sites, as opposed to those adopted by solitary and wild pollinators. With a balance between simplicity and realism we show the importance of keeping a minimal fraction of natural habitat in an agricultural landscape. We also evaluate the effects of the landscape’s structure on pollination, and demonstrate that there exists an optimal size of natural habitat patches that maximizes the pollination service for a fixed fraction of natural habitat.-Elsevier2020-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfJoseph, J., Santibáñez, F., Laguna, M. F., Abramson, G., Kuperman, M. N., & Garibaldi, L. A. (2020). A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera. Ecological Modelling; 431; 109201.0304-3800https://www.sciencedirect.com/science/article/pii/S0304380020302714?via%3Dihub#!http://rid.unrn.edu.ar/handle/20.500.12049/5600https://doi.org/10.1016/j.ecolmodel.2020.109201eng431Ecological Modellinginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/reponame:RID-UNRN (UNRN)instname:Universidad Nacional de Río Negro2025-09-29T14:29:18Zoai:rid.unrn.edu.ar:20.500.12049/5600instacron:UNRNInstitucionalhttps://rid.unrn.edu.ar/jspui/Universidad públicaNo correspondehttps://rid.unrn.edu.ar/oai/snrdrid@unrn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:43692025-09-29 14:29:18.411RID-UNRN (UNRN) - Universidad Nacional de Río Negrofalse |
dc.title.none.fl_str_mv |
A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera |
title |
A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera |
spellingShingle |
A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera Joseph, Julien Biodiversidad y Conservación Pollination Apis Mellifera Competition Landscape Structure Ecological Intensification Biodiversidad y Conservación |
title_short |
A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera |
title_full |
A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera |
title_fullStr |
A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera |
title_full_unstemmed |
A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera |
title_sort |
A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera |
dc.creator.none.fl_str_mv |
Joseph, Julien Santibáñez, Fernanda Laguna, María Fabiana Abramson, Guillermo Kuperman, Marcelo N. Garibaldi, Lucas Alejandro |
author |
Joseph, Julien |
author_facet |
Joseph, Julien Santibáñez, Fernanda Laguna, María Fabiana Abramson, Guillermo Kuperman, Marcelo N. Garibaldi, Lucas Alejandro |
author_role |
author |
author2 |
Santibáñez, Fernanda Laguna, María Fabiana Abramson, Guillermo Kuperman, Marcelo N. Garibaldi, Lucas Alejandro |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
Biodiversidad y Conservación Pollination Apis Mellifera Competition Landscape Structure Ecological Intensification Biodiversidad y Conservación |
topic |
Biodiversidad y Conservación Pollination Apis Mellifera Competition Landscape Structure Ecological Intensification Biodiversidad y Conservación |
dc.description.none.fl_txt_mv |
Fil: Joseph, Julien. Université de Lyon. École Normale Supérieure de Lyon; Francia. Fil: Joseph, Julien. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Fil: Santibáñez, Fernanda. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina. Fil: Santibáñez, Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina. Fil: Laguna, María Fabiana. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Fil: Abramson, Guillermo. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Fil: Abramson, Guillermo. Universidad Nacional de Cuyo. Instituto Balseiro; Argentina. Fil: Kuperman, Marcelo N. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Fil: Kuperman, Marcelo N. Universidad Nacional de Cuyo. Instituto Balseiro; Argentina. Fil: Garibaldi, Lucas A. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina. Fil: Garibaldi, Lucas A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural; Argentina. Apis mellifera plays a crucial role as pollinator of the majority of crops linked to food production and thus its presence is currently fundamental to our health and survival. The composition and configuration of the landscape in which Apis mellifera lives will likely determine the well-being of the hives and the pollination service that their members can provide to the crops. Here we present a spatially explicit model that predicts the spatial distribution of visits by Apis mellifera to crops, by simulating daily trips of honey bees, the demographical dynamic of each hive and their honey production. This model goes beyond existing approaches by including 1) a flower resource affected by the feedback interaction between nectar extraction, pollination, blossoming and repeated visits, 2) a pollinators dynamic that allows competition through short term resource depletion, 3) a probabilistic approach of the foraging behavior, modeling the fact that the pollinators have only partial knowledge of the resource on their surroundings, and 4) the specific and systematic foraging behavior and strategies of Apis mellifera at the moment of choosing foraging sites, as opposed to those adopted by solitary and wild pollinators. With a balance between simplicity and realism we show the importance of keeping a minimal fraction of natural habitat in an agricultural landscape. We also evaluate the effects of the landscape’s structure on pollination, and demonstrate that there exists an optimal size of natural habitat patches that maximizes the pollination service for a fixed fraction of natural habitat. - |
description |
Fil: Joseph, Julien. Université de Lyon. École Normale Supérieure de Lyon; Francia. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09 |
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 |
Joseph, J., Santibáñez, F., Laguna, M. F., Abramson, G., Kuperman, M. N., & Garibaldi, L. A. (2020). A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera. Ecological Modelling; 431; 109201. 0304-3800 https://www.sciencedirect.com/science/article/pii/S0304380020302714?via%3Dihub#! http://rid.unrn.edu.ar/handle/20.500.12049/5600 https://doi.org/10.1016/j.ecolmodel.2020.109201 |
identifier_str_mv |
Joseph, J., Santibáñez, F., Laguna, M. F., Abramson, G., Kuperman, M. N., & Garibaldi, L. A. (2020). A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera. Ecological Modelling; 431; 109201. 0304-3800 |
url |
https://www.sciencedirect.com/science/article/pii/S0304380020302714?via%3Dihub#! http://rid.unrn.edu.ar/handle/20.500.12049/5600 https://doi.org/10.1016/j.ecolmodel.2020.109201 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
431 Ecological Modelling |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:RID-UNRN (UNRN) instname:Universidad Nacional de Río Negro |
reponame_str |
RID-UNRN (UNRN) |
collection |
RID-UNRN (UNRN) |
instname_str |
Universidad Nacional de Río Negro |
repository.name.fl_str_mv |
RID-UNRN (UNRN) - Universidad Nacional de Río Negro |
repository.mail.fl_str_mv |
rid@unrn.edu.ar |
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1844621618433753088 |
score |
12.559606 |