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.
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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
RID-UNRN (UNRN)
Institución
Universidad Nacional de Río Negro
OAI Identificador
oai:rid.unrn.edu.ar:20.500.12049/5600

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network_acronym_str RIDUNRN
repository_id_str 4369
network_name_str RID-UNRN (UNRN)
spelling 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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