Balfour, Nicholas J, Castellanos, Maria Clara, Goulson, Dave, Philippides, Andrew and Johnson, Chris (2022) DoPI: the database of pollinator interactions. Ecology, 103 (11). e3801. ISSN 0012-9658
![]() |
PDF
- Published Version
Available under License Creative Commons Attribution. Download (234kB) |
Abstract
Despite the importance of pollinating insects to natural environments and agriculture, there have been few attempts to unite the existing plant-pollinator interaction datasets into a single depository using a common format. Accordingly, we have created one of the world's first online, open-access, and searchable pollinator-plant interaction databases. DoPI (The Database of Pollinator Interactions) was built from a systematic review of the scientific literature and unpublished datasets requested from researchers and organisations. We collated records of interactions between British plant and insect flower-visitor species (or genera), together with associated metadata (date, location, habitat, source publication) where available. The dataset currently (December 2021) contains 101,539 records, detailing over 320,000 interactions. The number of interactions (i.e. the number of times a pairwise species interaction was recorded per occasion) varies considerably among records, averaging 3.6. These include records from 1,888 pollinator species and 1,241 plant species, totalling >17,000 pairwise species interactions. By combining a large volume of information in a single repository, DoPI can be used to answer fundamental ecological questions on the dynamics of pollination interactions in space and time, as well as applied questions in conservation practice. We hope this dynamic database will be a useful tool not only for researchers, but also for conservationists, funding agencies, governmental departments, beekeepers, agronomists and gardeners. We request that this paper is cited when using the data in publications and individual studies where appropriate. Researchers and organisations are encouraged to add further data in the future. The database can be accessed at: https://www.dopi.org.uk/.
Item Type: | Article |
---|---|
Keywords: | Generic health relevance |
Schools and Departments: | School of Life Sciences > Evolution, Behaviour and Environment |
SWORD Depositor: | Mx Elements Account |
Depositing User: | Mx Elements Account |
Date Deposited: | 05 Jul 2022 12:23 |
Last Modified: | 27 Apr 2023 10:32 |
URI: | http://sro.sussex.ac.uk/id/eprint/106795 |
View download statistics for this item
📧 Request an update