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Article . 2022
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Ecology
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Ecology
Article . 2022 . Peer-reviewed
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Ecology
Article . 2022
DI-fusion
Article . 2021 . Peer-reviewed
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CropPol: A dynamic, open and global database on crop pollination

Authors: Alfonso Allen‐Perkins; Ainhoa Magrach; Matteo Dainese; Lucas A. Garibaldi; David Kleijn; Romina Rader; James R. Reilly; +180 Authors

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

Abstract

AbstractSeventy 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).

Countries
Italy, Belgium, Spain, United Kingdom, United Kingdom, Poland, Germany, Australia, United Kingdom, United Kingdom, Denmark, Australia, Netherlands, Australia, Spain, Germany, Australia, France
Keywords

[SDE] Environmental Sciences, Crops, Agricultural, 571, pollination, Insecta, 550, agricultural management, Insect culture and beneficial insects, 577, crop production, Flowers, flower visiting insects, Agricultura (General), Sciences de l'ingénieur, 630, Agricultural management, Biodiversidad y Conservación, Animals, Pollination, Technology (General), Ecosystem, Flower Visiting Insects, Bee culture, Agricultural Management, Sustainable agriculture, Plant culture, Ecología, Bees, Biología y Biomedicina / Biología, pollinator biodiversity, Crop Production, flower visiting insect, Pollinator Biodiversity, [SDE]Environmental Sciences, Conservation of natural resources, Methods and systems of culture. Cropping systems, bees, Agricultural meteorology. Crops and climate, bee, Entomology, Sciences exactes et naturelles

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    selected citations
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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Top 10%
Top 10%
Top 1%
Green
hybrid