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CATALOGO DEI PRODOTTI DELLA RICERCA
: Seventy five percent of the world's food crops benefit from insect pollination. Hence, there has been increased interest in how global change drivers impact this critical ecosystem service. Because standardized data on crop pollination are rarely available, we are limited in our capacity to understand the variation in pollination benefits to crop yield, as well as to anticipate changes in this service, develop predictions, and inform management actions. Here, we present CropPol, a dynamic, open, and global database on crop pollination. It contains measurements recorded from 202 crop studies, covering 3,394 field observations, 2,552 yield measurements (i.e., berry mass, number of fruits, and fruit density [kg/ha], among others), and 47,752 insect records from 48 commercial crops distributed around the globe. CropPol comprises 32 of the 87 leading global crops and commodities that are pollinator dependent. Malus domestica is the most represented crop (32 studies), followed by Brassica napus (22 studies), Vaccinium corymbosum (13 studies), and Citrullus lanatus (12 studies). The most abundant pollinator guilds recorded are honey bees (34.22% counts), bumblebees (19.19%), flies other than Syrphidae and Bombyliidae (13.18%), other wild bees (13.13%), beetles (10.97%), Syrphidae (4.87%), and Bombyliidae (0.05%). Locations comprise 34 countries distributed among Europe (76 studies), North America (60), Latin America and the Caribbean (29), Asia (20), Oceania (10), and Africa (7). Sampling spans three decades and is concentrated on 2001-2005 (21 studies), 2006-2010 (40), 2011-2015 (88), and 2016-2020 (50). This is the most comprehensive open global data set on measurements of crop flower visitors, crop pollinators and pollination to date, and we encourage researchers to add more datasets to this database in the future. This data set is released for non-commercial use only. Credits should be given to this paper (i.e., proper citation), and the products generated with this database should be shared under the same license terms (CC BY-NC-SA).
CropPol : A dynamic, open and global database on crop pollination
Alfonso Allen‐Perkins;Ainhoa Magrach;Matteo Dainese;Lucas A. Garibaldi;David Kleijn;Romina Rader;James R. Reilly;Rachael Winfree;Ola Lundin;Carley M. McGrady;Claire Brittain;David J. Biddinger;Derek R. Artz;Elizabeth Elle;George Hoffman;James D. Ellis;Jaret Daniels;Jason Gibbs;Joshua W. Campbell;Julia Brokaw;Julianna K. Wilson;Keith Mason;Kimiora L. Ward;Knute B. Gundersen;Kyle Bobiwash;Larry Gut;Logan M. Rowe;Natalie K. Boyle;Neal M. Williams;Neelendra K. Joshi;Nikki Rothwell;Robert L. Gillespie;Rufus Isaacs;Shelby J. Fleischer;Stephen S. Peterson;Sujaya Rao;Theresa L. Pitts‐Singer;Thijs Fijen;Virginie Boreux;Maj Rundlöf;Blandina Felipe Viana;Alexandra‐Maria Klein;Henrik G. Smith;Riccardo Bommarco;Luísa G. Carvalheiro;Taylor H. Ricketts;Jaboury Ghazoul;Smitha Krishnan;Faye E. Benjamin;João Loureiro;Sílvia Castro;Nigel E. Raine;Gerard Arjen Groot;Finbarr G. Horgan;Juliana Hipólito;Guy Smagghe;Ivan Meeus;Maxime Eeraerts;Simon G. Potts;Claire Kremen;Daniel García;Marcos Miñarro;David W. Crowder;Gideon Pisanty;Yael Mandelik;Nicolas J. Vereecken;Nicolas Leclercq;Timothy Weekers;Sandra A. M. Lindstrom;Dara A. Stanley;Carlos Zaragoza‐Trello;Charlie C. Nicholson;Jeroen Scheper;Carlos Rad;Evan A. N. Marks;Lucie Mota;Bryan Danforth;Mia Park;Antônio Diego M. Bezerra;Breno M. Freitas;Rachel E. Mallinger;Fabiana Oliveira da Silva;Bryony Willcox;Davi L. Ramos;Felipe D. da Silva e Silva;Amparo Lázaro;David Alomar;Miguel A. González‐Estévez;Hisatomo Taki;Daniel P. Cariveau;Michael P. D. Garratt;Diego N. Nabaes Jodar;Rebecca I. A. Stewart;Daniel Ariza;Matti Pisman;Elinor M. Lichtenberg;Christof Schüepp;Felix Herzog;Martin H. Entling;Yoko L. Dupont;Charles D. Michener;Gretchen C. Daily;Paul R. Ehrlich;Katherine L. W. Burns;Montserrat Vilà;Andrew Robson;Brad Howlett;Leah Blechschmidt;Frank Jauker;Franziska Schwarzbach;Maike Nesper;Tim Diekötter;Volkmar Wolters;Helena Castro;Hugo Gaspar;Brian A. Nault;Isabelle Badenhausser;Jessica D. Petersen;Teja Tscharntke;Vincent Bretagnolle;D. Susan Willis Chan;Natacha Chacoff;Georg K. S. Andersson;Shalene Jha;Jonathan F. Colville;Ruan Veldtman;Jeferson Coutinho;Felix J. J. A. Bianchi;Louis Sutter;Matthias Albrecht;Philippe Jeanneret;Yi Zou;Anne L. Averill;Agustin Saez;Amber R. Sciligo;Carlos H. Vergara;Elias H. Bloom;Elisabeth Oeller;Ernesto I. Badano;Gregory M. Loeb;Heather Grab;Johan Ekroos;Vesna Gagic;Saul A. Cunningham;Jens Åström;Pablo Cavigliasso;Alejandro Trillo;Alice Classen;Alice L. Mauchline;Ana Montero‐Castaño;Andrew Wilby;Ben A. Woodcock;C. Sheena Sidhu;Ingolf Steffan‐Dewenter;Ioannis N. Vogiatzakis;José M. Herrera;Mark Otieno;Mary W. Gikungu;Sarah J. Cusser;Thomas Nauss;Lovisa Nilsson;Jessica Knapp;Jorge J. Ortega‐Marcos;José A. González;Juliet L. Osborne;Rosalind Blanche;Rosalind F. Shaw;Violeta Hevia;Jane Stout;Anthony D. Arthur;Betina Blochtein;Hajnalka Szentgyorgyi;Jin Li;Margaret M. Mayfield;Michał Woyciechowski;Patrícia Nunes‐Silva;Rosana Halinski de Oliveira;Steve Henry;Benno I. Simmons;Bo Dalsgaard;Katrine Hansen;Tuanjit Sritongchuay;Alison D. O'Reilly;Fermín José Chamorro García;Guiomar Nates Parra;Camila Magalhães Pigozo;Ignasi Bartomeus
2022-01-01
Abstract
: Seventy five percent of the world's food crops benefit from insect pollination. Hence, there has been increased interest in how global change drivers impact this critical ecosystem service. Because standardized data on crop pollination are rarely available, we are limited in our capacity to understand the variation in pollination benefits to crop yield, as well as to anticipate changes in this service, develop predictions, and inform management actions. Here, we present CropPol, a dynamic, open, and global database on crop pollination. It contains measurements recorded from 202 crop studies, covering 3,394 field observations, 2,552 yield measurements (i.e., berry mass, number of fruits, and fruit density [kg/ha], among others), and 47,752 insect records from 48 commercial crops distributed around the globe. CropPol comprises 32 of the 87 leading global crops and commodities that are pollinator dependent. Malus domestica is the most represented crop (32 studies), followed by Brassica napus (22 studies), Vaccinium corymbosum (13 studies), and Citrullus lanatus (12 studies). The most abundant pollinator guilds recorded are honey bees (34.22% counts), bumblebees (19.19%), flies other than Syrphidae and Bombyliidae (13.18%), other wild bees (13.13%), beetles (10.97%), Syrphidae (4.87%), and Bombyliidae (0.05%). Locations comprise 34 countries distributed among Europe (76 studies), North America (60), Latin America and the Caribbean (29), Asia (20), Oceania (10), and Africa (7). Sampling spans three decades and is concentrated on 2001-2005 (21 studies), 2006-2010 (40), 2011-2015 (88), and 2016-2020 (50). This is the most comprehensive open global data set on measurements of crop flower visitors, crop pollinators and pollination to date, and we encourage researchers to add more datasets to this database in the future. This data set is released for non-commercial use only. Credits should be given to this paper (i.e., proper citation), and the products generated with this database should be shared under the same license terms (CC BY-NC-SA).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1125021
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.