Pollination supply models from a local to global scale
Fil: Giménez-García, Angel. Basque Centre for Climate Change. España.
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | Argentina |
| Institución: | Universidad Nacional de Río Negro |
| Repositorio: | RID-UNRN (UNRN) |
| Idioma: | inglés |
| OAI Identifier: | oai:rid.unrn.edu.ar:20.500.12049/11366 |
| Acceso en línea: | https://we.copernicus.org/articles/23/99/2023/ http://rid.unrn.edu.ar/handle/20.500.12049/11366 https://doi.org/10.5194/we-23-99-2023 |
| Access Level: | acceso abierto |
| Palabra clave: | Biodiversidad y Conservación Ecología Agricultura (General) - |
| id |
AR_1fa7dc7ff751efb7d3f4c56cc2e17c27 |
|---|---|
| oai_identifier_str |
oai:rid.unrn.edu.ar:20.500.12049/11366 |
| network_acronym_str |
AR |
| network_name_str |
Argentina |
| repository_id_str |
|
| dc.title.none.fl_str_mv |
Pollination supply models from a local to global scale |
| title |
Pollination supply models from a local to global scale |
| spellingShingle |
Pollination supply models from a local to global scale Giménez-García, Angel Biodiversidad y Conservación Ecología Agricultura (General) - Biodiversidad y Conservación Ecología Agricultura (General) |
| title_short |
Pollination supply models from a local to global scale |
| title_full |
Pollination supply models from a local to global scale |
| title_fullStr |
Pollination supply models from a local to global scale |
| title_full_unstemmed |
Pollination supply models from a local to global scale |
| title_sort |
Pollination supply models from a local to global scale |
| dc.creator.none.fl_str_mv |
Giménez-García, Angel Allen-Perkins, Alfonso Bartomeus, Ignasi Balbi, Stefano Knapp, Jessica L. Hevia, Violeta Woodcock, Ben A. Smagghe, Guy Miñarro, Marcos Eeraerts, Maxime Colville, Jonathan F. Hipólito, Juliana Cavigliasso, Pablo Nates-Parra, Guiomar Herrera, José M. Cusser, Sarah Simmons, Benno I. Wolters, Volkmar Jha, Shalene Freitas, Breno M. Horgan, Finbarr G. Artz, Derek R. Sidhu, C. Sheena Otieno, Mark Boreux, Virginie Biddinger, David J. Klein, Alexandra-Maria Joshi, Neelendra K. Stewart, Rebecca I. A. Albrecht, Matthias Nicholson, Charlie C. O'Reilly, Alison D. Crowder, David W. Burns, Katherine L. W. Nabaes Jodar, Diego N. Garibaldi, Lucas Alejandro Sutter, Louis Dupont, Yoko L. Dalsgaard, Bo da Encarnação Coutinho, Jeferson Gabriel Lázaro, Amparo Andersson, Georg K. S. Raine, Nigel E. Krishnan, Smitha Dainese, Matteo van der Werf, Wopke Smith, Henrik G. Magrach, Ainhoa |
| author |
Giménez-García, Angel |
| author_facet |
Giménez-García, Angel Allen-Perkins, Alfonso Bartomeus, Ignasi Balbi, Stefano Knapp, Jessica L. Hevia, Violeta Woodcock, Ben A. Smagghe, Guy Miñarro, Marcos Eeraerts, Maxime Colville, Jonathan F. Hipólito, Juliana Cavigliasso, Pablo Nates-Parra, Guiomar Herrera, José M. Cusser, Sarah Simmons, Benno I. Wolters, Volkmar Jha, Shalene Freitas, Breno M. Horgan, Finbarr G. Artz, Derek R. Sidhu, C. Sheena Otieno, Mark Boreux, Virginie Biddinger, David J. Klein, Alexandra-Maria Joshi, Neelendra K. Stewart, Rebecca I. A. Albrecht, Matthias Nicholson, Charlie C. O'Reilly, Alison D. Crowder, David W. Burns, Katherine L. W. Nabaes Jodar, Diego N. Garibaldi, Lucas Alejandro Sutter, Louis Dupont, Yoko L. Dalsgaard, Bo da Encarnação Coutinho, Jeferson Gabriel Lázaro, Amparo Andersson, Georg K. S. Raine, Nigel E. Krishnan, Smitha Dainese, Matteo van der Werf, Wopke Smith, Henrik G. Magrach, Ainhoa |
| author_role |
author |
| author2 |
Allen-Perkins, Alfonso Bartomeus, Ignasi Balbi, Stefano Knapp, Jessica L. Hevia, Violeta Woodcock, Ben A. Smagghe, Guy Miñarro, Marcos Eeraerts, Maxime Colville, Jonathan F. Hipólito, Juliana Cavigliasso, Pablo Nates-Parra, Guiomar Herrera, José M. Cusser, Sarah Simmons, Benno I. Wolters, Volkmar Jha, Shalene Freitas, Breno M. Horgan, Finbarr G. Artz, Derek R. Sidhu, C. Sheena Otieno, Mark Boreux, Virginie Biddinger, David J. Klein, Alexandra-Maria Joshi, Neelendra K. Stewart, Rebecca I. A. Albrecht, Matthias Nicholson, Charlie C. O'Reilly, Alison D. Crowder, David W. Burns, Katherine L. W. Nabaes Jodar, Diego N. Garibaldi, Lucas Alejandro Sutter, Louis Dupont, Yoko L. Dalsgaard, Bo da Encarnação Coutinho, Jeferson Gabriel Lázaro, Amparo Andersson, Georg K. S. Raine, Nigel E. Krishnan, Smitha Dainese, Matteo van der Werf, Wopke Smith, Henrik G. Magrach, Ainhoa |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Biodiversidad y Conservación Ecología Agricultura (General) - Biodiversidad y Conservación Ecología Agricultura (General) |
| topic |
Biodiversidad y Conservación Ecología Agricultura (General) - Biodiversidad y Conservación Ecología Agricultura (General) |
| description |
Fil: Giménez-García, Angel. Basque Centre for Climate Change. España. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023-10-04 |
| 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 |
Giménez-García, A., Allen-Perkins, A., Bartomeus, I., Balbi, S., Knapp, J. L., Hevia, V., ... & Magrach, A. (2023). Pollination supply models from a local to global scale. Web Ecology, 23(2), 99-129. 1399-1183 https://we.copernicus.org/articles/23/99/2023/ http://rid.unrn.edu.ar/handle/20.500.12049/11366 https://doi.org/10.5194/we-23-99-2023 |
| identifier_str_mv |
Giménez-García, A., Allen-Perkins, A., Bartomeus, I., Balbi, S., Knapp, J. L., Hevia, V., ... & Magrach, A. (2023). Pollination supply models from a local to global scale. Web Ecology, 23(2), 99-129. 1399-1183 |
| url |
https://we.copernicus.org/articles/23/99/2023/ http://rid.unrn.edu.ar/handle/20.500.12049/11366 https://doi.org/10.5194/we-23-99-2023 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
https://www.web-ecology.net/ 23 (2) Web Ecology |
| 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 |
EEF |
| publisher.none.fl_str_mv |
EEF |
| dc.source.none.fl_str_mv |
reponame:RID-UNRN (UNRN) instname:Universidad Nacional de Río Negro |
| instname_str |
Universidad Nacional de Río Negro |
| reponame_str |
RID-UNRN (UNRN) |
| collection |
RID-UNRN (UNRN) |
| repository.name.fl_str_mv |
RID-UNRN (UNRN) - Universidad Nacional de Río Negro |
| repository.mail.fl_str_mv |
rid@unrn.edu.ar |
| _version_ |
1799196776349040640 |
| spelling |
Pollination supply models from a local to global scaleGiménez-García, AngelAllen-Perkins, AlfonsoBartomeus, IgnasiBalbi, StefanoKnapp, Jessica L.Hevia, VioletaWoodcock, Ben A.Smagghe, GuyMiñarro, MarcosEeraerts, MaximeColville, Jonathan F.Hipólito, JulianaCavigliasso, PabloNates-Parra, GuiomarHerrera, José M.Cusser, SarahSimmons, Benno I.Wolters, VolkmarJha, ShaleneFreitas, Breno M.Horgan, Finbarr G.Artz, Derek R.Sidhu, C. SheenaOtieno, MarkBoreux, VirginieBiddinger, David J.Klein, Alexandra-MariaJoshi, Neelendra K.Stewart, Rebecca I. A.Albrecht, MatthiasNicholson, Charlie C.O'Reilly, Alison D.Crowder, David W.Burns, Katherine L. W.Nabaes Jodar, Diego N.Garibaldi, Lucas AlejandroSutter, LouisDupont, Yoko L.Dalsgaard, Boda Encarnação Coutinho, Jeferson GabrielLázaro, AmparoAndersson, Georg K. S.Raine, Nigel E.Krishnan, SmithaDainese, Matteovan der Werf, WopkeSmith, Henrik G.Magrach, AinhoaBiodiversidad y ConservaciónEcologíaAgricultura (General)-Biodiversidad y ConservaciónEcologíaAgricultura (General)Fil: Giménez-García, Angel. Basque Centre for Climate Change. España.Fil: Allen-Perkins, Alfonso. Estación Biológica de Doñana. España.Fil: Bartomeus, Ignasi. Estación Biológica de Doñana. España.Fil: Balbi, Stefano. Basque Centre for Climate Change. España.Fil: Knapp, Jessica L. Lund University. Suecia.Fil: Hevia, Violeta. Universidad Autónoma de Madrid. España.Fil: Woodcock, Ben A. UK Centre for Ecology & Hydrology. Reino Unido.Fil: Smagghe, Guy. Ghent University. Bélgica.Fil: Miñarro, Marcos. Servicio Regional de Investigación y Desarrollo Agroalimentario. España.Fil: Eeraerts, Maxime. Michigan State University. Estados Unidos.Fil: Colville, Jonathan F. University of Cape Town. Sudáfrica.Fil: Hipólito, Juliana. Universidade Federal da Bahia. Brasil.Fil: Cavigliasso, Pablo. Instituto Nacional de Tecnología Agropecuaria. Córdoba, Argentina.Fil: Nates-Parra, Guiomar. Universidad Nacional de Colombia. Colombia.Fil: Herrera, José M. University of Cádiz. España.Fil: Cusser, Sarah. Santa Barbara Botanic Garden. Estados Unidos.Fil: Simmons, Benno I. University of Exeter. Reino Unido.Fil: Wolters, Volkmar. University of Giessen. Alemania.Fil: Jha, Shalene. University of Texas at Austin. Estados Unidos.Fil: Freitas, Breno M. Universidade Federal do Ceará. Brasil.Fil: Horgan, Finbarr G. Universidad Católica del Maule. Chile.Fil: Artz, Derek R. USDA Agricultural Research Service. Estados Unidos.Fil: Sidhu, C. Sheena. Stanford University. Estados Unidos.Fil: Otieno, Mark. University of Embu. Kenia.Fil: Boreux, Virginie. ETH Zürich. Suiza.Fil: Biddinger, David J. Penn State University. Estados Unidos.Fil: Klein, Alexandra-Maria. University of Freiburg. Alemania.Fil: Joshi, Neelendra K. University of Arkansas. Estados Unidos.Fil: Stewart, Rebecca I. A. Lund University. Suecia.Fil: Albrecht, Matthias. Agroscope. Suiza.Fil: Nicholson, Charlie C. Lund University. Suecia.Fil: O'Reilly, Alison D. University College Dublin. Irlanda.Fil: Crowder, David W. Washington State University. Estados Unidos.Fil: Burns, Katherine L. W. University College Dublin. Irlanda.Fil: Nabaes Jodar, Diego N. × Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural, San Carlos de Bariloche, Río Negro, ArgentinaFil: Nabaes Jodar, Diego N. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural, Universidad Nacional de Río Negro, San Carlos de Bariloche, Río Negro, ArgentinaFil: Garibaldi, Lucas Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural, San Carlos de Bariloche, Río Negro, ArgentinaFil: Garibaldi, Lucas Alejandro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural, Universidad Nacional de Río Negro, San Carlos de Bariloche, Río Negro, ArgentinaFil: Sutter, Louis. Agroscope. Suiza.Fil: Dupont, Yoko L. Aarhus University. Dinamarca.Fil: Dalsgaard, Bo. University of Copenhagen. Dinamarca.Fil: Coutinho, Jeferson Gabriel da Encarnação. Federal Institute of Education, Science and Technology of Bahia. Brasil.Fil: Lázaro, Amparo. Mediterranean Institute for Advanced Studies. España.Fil: Andersson, Georg K. S. Lund University. Suecia.Fil: Raine, Nigel E. University of Guelph. Canadá.Fil: Krishnan, Smitha. Bioversity International. India.Fil: Dainese, Matteo. University of Verona. Italia.Fil: van der Werf, Wopke. Wageningen University & Research. Países Bajos.Fil: Smith, Henrik G. Lund University. Suecia.Fil: Magrach, Ainhoa. Basque Centre for Climate Change. España.Ecological intensification has been embraced with great interest by the academic sector but is still rarely taken up by farmers because monitoring the state of different ecological functions is not straightforward. Modelling tools can represent a more accessible alternative of measuring ecological functions, which could help promote their use amongst farmers and other decision-makers. In the case of crop pollination, modelling has traditionally followed either a mechanistic or a data-driven approach. Mechanistic models simulate the habitat preferences and foraging behaviour of pollinators, while data-driven models associate georeferenced variables with real observations. Here, we test these two approaches to predict pollination supply and validate these predictions using data from a newly released global dataset on pollinator visitation rates to different crops. We use one of the most extensively used models for the mechanistic approach, while for the data-driven approach, we select from among a comprehensive set of state-of-the-art machine-learning models. Moreover, we explore a mixed approach, where data-derived inputs, rather than expert assessment, inform the mechanistic model. We find that, at a global scale, machine-learning models work best, offering a rank correlation coefficient between predictions and observations of pollinator visitation rates of 0.56. In turn, the mechanistic model works moderately well at a global scale for wild bees other than bumblebees. Biomes characterized by temperate or Mediterranean forests show a better agreement between mechanistic model predictions and observations, probably due to more comprehensive ecological knowledge and therefore better parameterization of input variables for these biomes. This study highlights the challenges of transferring input variables across multiple biomes, as expected given the different composition of species in different biomes. Our results provide clear guidance on which pollination supply models perform best at different spatial scales – the first step towards bridging the stakeholder–academia gap in modelling ecosystem service delivery under ecological intensification.-EEF2023-10-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfGiménez-García, A., Allen-Perkins, A., Bartomeus, I., Balbi, S., Knapp, J. L., Hevia, V., ... & Magrach, A. (2023). Pollination supply models from a local to global scale. Web Ecology, 23(2), 99-129.1399-1183https://we.copernicus.org/articles/23/99/2023/http://rid.unrn.edu.ar/handle/20.500.12049/11366https://doi.org/10.5194/we-23-99-2023enghttps://www.web-ecology.net/23 (2)Web Ecologyinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/reponame:RID-UNRN (UNRN)instname:Universidad Nacional de Río Negro2024-05-10T11:50:41Zoai:rid.unrn.edu.ar:20.500.12049/11366instacron:UNRNInstitucionalhttps://rid.unrn.edu.ar/jspui/Universidad públicaNo correspondehttps://rid.unrn.edu.ar/oai/snrdrid@unrn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:43692024-05-10 11:50:41.564RID-UNRN (UNRN) - Universidad Nacional de Río Negrofalse |
| score |
15.812429 |