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Pollination supply models from a local to global scale
Giménez-García, Angel; Allen-Perkins, Alfonso; Bartomeus, Ignasi; Balbi, Stefano; Knapp, Jessica L.; Hevia, Violeta; Woodcock, Ben Alex; 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 William; Burns, Katherine L. W.; Nabaes Jodar, Diego Nicolás; 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 (2023)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 ...