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ARS Home » Plains Area » Sidney, Montana » Northern Plains Agricultural Research Laboratory » Pest Management Research » Research » Publications at this Location » Publication #380926
Research Project: Biological Control and Habitat Restoration for Invasive Weed Management

Location: Pest Management Research

Title: CropPol: A dynamic, open and global database on crop pollination

Author
item ALLEN-PERKINS, ALFONSO - Doñana Biological Station
item MAGRACH, AINHOA - Basque Foundation For Science
item DAINESE, MATTEO - European Academy Bozen
item GARIBALDI, LUCAS - Consejo Nacional De Investigaciones Científicas Y Técnicas(CONICET)
item KLEIJN, DAVID - Wageningen University And Research Center
item RADER, ROMINA - University Of New England
item REILLY, JAMES - Rutgers University
item WINFREE, RACHAEL - Rutgers University
item LUNDIN, OLA - Swedish University Of Agricultural Sciences
item MCGRADY, CARLEY - North Carolina State University
item BRITTIAN, CLAIRE - University Of California, Davis
item BIDDINGER, DAVID - Pennsylvania State University
item Artz, Derek
item ELLE, ELIZABETH - Simon Fraser University
item HOFFMAN, GEORGE - Oregon State University
item ELLIS, JAMIE - University Of Florida
item DANIELS, JARET - University Of Florida
item GIBBS, JASON - University Of Manitoba
item Campbell, Joshua
item BROKAW, JULIA - University Of Minnesota
item WILSON, JULIANNA - Michigan State University
item MASON, KEITH - Michigan State University
item WARD, KIMIORA - National Park Service
item GUNDERSEN, KNUTE - Michigan State University
item BOBIWASH, KYLE - University Of Manitoba
item GUT, LARRY - Michigan State University
item ROWE, LOGAN - Michigan State University
item Boyle, Natalie
item WILLIAMS, NEAL - University Of California, Davis
item JOSHI, NEELENDRA - University Of Arkansas
item ROTHWELL, NIKKI - Michigan State University
item GILLESPIE, ROBERT - Wenatchee Valley College
item ISAACS, RUFUS - Michigan State University
item FLEISHER, SHELBY - Pennsylvania State University
item PETERSON, STEPHEN - Agpollen, Llc
item RAO, SUJAYA - University Of Minnesota
item Pitts Singer, Theresa
item FIJEN, THIJS - Wageningen University And Research Center
item BOREUX, VIRGINIE - University Of Freiburg
item RUNDLOF, MAJ - Lund University
item VIANA, BLANDINA - Federal University Of Bahia Reconcavo
item KLEIN, ALEXANDRA-MARIA - University Of Freiburg
item SMITH, HENRIK - Lund University
item BOMMARCO, RICCARDO - Swedish University Of Agricultural Sciences
item CARVALHEIRO, LUISA - Federal University Of Goias
item RICKETTS, TAYLOR - University Of Vermont
item GHAZOUL, JABOURY - Eth Zurich
item KRISHNAN, SMITHA - Bioversity International
item BENJAMIN, FAYE - Rutgers University
item LOUREIRO, JOAO - University Of Guelph
item CASTRO, SILVIA - University Of Guelph
item RAINE, NIGEL - University Of Guelph
item ARJEN DE GROOT, GERARD - Wageningen Ur

Submitted to: Ecology
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 9/29/2021
Publication Date: 3/1/2022
Citation: Allen-Perkins, A., Magrach, A., Dainese, M., Garibaldi, L.A., Kleijn, D., Rader, R., Reilly, J.R., Winfree, R., Lundin, O., McGrady, C.M., Brittian, C., Biddinger, D.J., Artz, D.R., Elle, E., Hoffman, G., Ellis, J.D., Daniels, J., Gibbs, J., Campbell, J.W., et al. 2022. CropPol: A dynamic, open and global database on crop pollination. Ecology. 103(3). Article e3614. https://doi.org/10.1002/ecy.3614.
DOI: https://doi.org/10.1002/ecy.3614

Interpretive Summary: The majority of crops depend on insects for pollination services. Despite this importance, crop pollination data is rarely standardized, thus limiting our understanding of insect pollination on many important crops. Here, we present CropPol, a global database on crop pollination that includes measurements of fruit and floral insect visitation records from 49 commercial crops distributed around the world. To date, this is the most comprehensive dataset of insect visitors and pollination to global crops. This dataset will be invaluable to future researchers and crop managers. Additionally, we have provided instructions for researchers to add pollination data to this open database.

Technical Abstract: Seventy five percent of fruit production of the major global 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 189 crop studies, covering 3,216 field observations, 2,421 yield measurements (i.e. berry weight, number of fruits and kg per hectare, among others), and 46,325 insect records from 49 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 (25 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 (33.11% counts), bumblebees (18.64%), flies other than Syrphidae and Bombyliidae (13.77%), other wild bees (13.51%), beetles (11.47%), Syrphidae (4.85%), and Bombyliidae (0.06%). Locations comprise 32 countries distributed among European (70 studies), Northern America (59), Latin America and the Caribbean (27), Asia (22), Oceania (10), and Africa (7). Sampling spans three decades and is concentrated on 2001-05 (21 studies), 2006-10 (38), 2011-15 (87), 2016-20 (40). 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. No copyright restrictions are associated with the use of this dataset. Please cite this data paper when the data are used in publications and cite individual studies when appropriate.