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dc.contributor.author
Sáez, Agustín
dc.contributor.author
Di Virgilio, Agustina Soledad
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Tiribelli, Florencia
dc.contributor.author
Geslin, B.
dc.date.available
2020-01-09T18:59:10Z
dc.date.issued
2018-10
dc.identifier.citation
Sáez, Agustín; Di Virgilio, Agustina Soledad; Tiribelli, Florencia; Geslin, B.; Simulation models to predict pollination success in apple orchards: a useful tool to test management practices; EDP Sciences; Apidologie; 49; 5; 10-2018; 551-561
dc.identifier.issn
0044-8435
dc.identifier.uri
http://hdl.handle.net/11336/94173
dc.description.abstract
The cultivated area of pollinator-dependent crops is increasing globally, and thus many natural habitats are being replaced by cropland. This change in land use is one of the main causes of biodiversity losses, of which include wild pollinators. As a consequence, many bee species are increasingly being reared and sold specifically for crop pollination services. However, the spatial arrangement of colonies of managed bee species in crops, as well as the spatial design of plants within plantations to maximize pollen flows is not standardized and growers are still experimenting. Here, we propose a spatially explicit simulation model to test which spatial arrangement of hives and plants maximizes pollination services. We used apple orchards pollinated by honey bees as a case study. We found that the spatial arrangement of plants within plantations affects both the mean level and homogeneity of the pollination in apple orchards. Bees’ hive locations, on the other hand, only affected the mean levels of pollination. Our results showed that simulation models are powerful tools to provide management recommendations to farmers.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
EDP Sciences
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
APPLE ORCHARDS
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HONEYBEE HIVES
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POLLINATION
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SIMULATION MODEL
dc.subject.classification
Agricultura
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Agricultura, Silvicultura y Pesca
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CIENCIAS AGRÍCOLAS
dc.title
Simulation models to predict pollination success in apple orchards: a useful tool to test management practices
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-10-10T13:58:14Z
dc.identifier.eissn
1297-9678
dc.journal.volume
49
dc.journal.number
5
dc.journal.pagination
551-561
dc.journal.pais
Francia
dc.journal.ciudad
Paris
dc.description.fil
Fil: Sáez, Agustín. 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
dc.description.fil
Fil: Di Virgilio, Agustina Soledad. 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
dc.description.fil
Fil: Tiribelli, Florencia. 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
dc.description.fil
Fil: Geslin, B.. Centre National de la Recherche Scientifique; Francia. Avignon Université; Francia. Aix Marseille Université; Francia
dc.journal.title
Apidologie
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1007/s13592-018-0582-2
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s13592-018-0582-2
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