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dc.contributor.author
Sáez, Agustín  
dc.contributor.author
Di Virgilio, Agustina Soledad  
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Tiribelli, Florencia  
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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  
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info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s13592-018-0582-2