About the NSR
What is the NSR?
Project development
Source code
Funding
What is the NSR?
The Native Species Resolver (NSR) is a tool for the detection of introduced (non-native) plant species occurrences. A species occurrence is an observation of a species at a particular location. Currently, the NSR checks native status within political divisions, at up to three levels: country (admin0), state/province (admin1), and county/parish (admin2). These checks are performed by looking up the species in country, state, and county plant species checklists. Currently available checklists consulted by the NSR are displayed on our map page ; lists of the checklists available in each country are displayed by clicking on the country, and details of each checklist can be seen by clicking on an individual checklist in the popup.
Results returned by the NSR include the species name and political division submitted, a native status code, and explanation for why that code was assigned, and the checklist sources consulted. Additional information is displayed by clicking on the Details hyperlink. For more details on each field returned by the NSR, see our NSR Data Dictionary.
Project development
The NSR was developed by the Botanical Information and Ecology Network (BIEN) as a data validation tool for the BIEN botanical observation database.
Project conception and direction
Brad Boyle at University of Arizona
Brian Enquist at University of Arizona
Application development
Brad Boyle: NSR database, search engine and api.
Brian Maitner: RNSR R package.
George C. Barbosa: NSRweb React/Node.js user interface.
Rethvick Sriram Yugendra Babu: NSRweb React/Node.js user interface.
Source code
Source code for all NSR components is publicly available from the following repositories:
NSR Search Engine, Database, and API: https://github.com/ojalaquellueva/nsr
RNSR R package: https://github.com/EnquistLab/RNSR.
Funding
Funding provided by the National Science Foundation Plant Cyberinfrastructure Program (grant #DBI-0735191) and National Science Foundation Harnessing the Data Revolution Grant HDR 1934790 to Brian J. Enquist. Ongoing support by the National Center for Ecological Analysis and Synthesis (NCEAS) at University of California, Santa Barbara.