The Database catalogs accounts of the interactions of bats with plants and arthropods worldwide published in peer-reviewed literature. For each interaction, we include family, genus, and species of each interactor (bat, plant, or arthropod), type of interaction (pollination, visitation, consumption, dispersal, or transport), details of the location (country, habitat type, elevation, GPS), and citation (see below Conceptual Data Map). The number of interactions in the database will continue to grow as we make every effort to keep this information up-to-date.
Users can browse, sort, and filter interaction data in multiple ways.
There are tips for building creative searches and finding specific data available on the Search page.
If you use search results, or data, from this site in a publication, as part of any other printed media, or in online content, please cite them as follows:
Geiselman, Cullen K., Defex, Tuli. I. 2015. Bat Eco-Interactions Database. www.batplant.org, version (date accessed).
Bat Eco-Interactions heavily depends on user's participation, either by suggesting publications that have not been included on the database, and/or by entering new data (see below New Data Flow diagram). We invite you to click here to review the list of articles we hope to add to the database in the future. If you have suggestions for additional ones, please send the relevant information and a pdf of it to firstname.lastname@example.org.
Registered users will be able to directly contribute bat interaction data that has not been included on the database and has been published in peer-reviewed literature. We encourage the inclusion of world-wide publications, regardless of their original language and publication source.
Once a new interaction has been submitted by a contributor, this data goes through a strict internal quality control process where selected experts evaluate for accuracy in data fields and formatting (see below New Data Flow diagram). We are committed to provide a scientifically and technically robust platform where rigorous processes are followed to guarantee a database with the highest quality standards for the long term.