| Abstract Detail
Systematics Section / ASPT Hoagland, Bruce [3], Buthod, Amy [2], Butler, Ian [2], Crawford, Priscilla [2], Udasi, Anurag [2], Elisens, Wayne [1], Tyrl, Ron [4]. Development of a Web-accessible database for herbarium specimens in Oklahoma. The vascular flora of Oklahoma encompasses more than 2500 plant species in 173 families, which reflect the diversity of ecoregional and floristic provinces in the state. To organize and disseminate information on the research collections representing the Oklahoma vascular flora, we have constructed a centralized database that is accessible via the internet and that will be interoperable with regional and national databases. To date, the Oklahoma Vascular Plants database, which supersedes the Atlas of the Flora of Oklahoma database, has data from over 150,000 accessioned specimens from 13 Oklahoma herbaria. These data are accessible through a web-based interface on a secure web server that supports remote querying and that eventually will provide for remote data entry. An automated E-mail alert system also will be added to notify researchers and agency personnel when new records of interest have been entered into the database. Oklahoma’s botanical research collections represent an important regional and North American resource for many groups of plants and contain significant historical exsiccatae. The Oklahoma Vascular Plants database and website make Oklahoma’s herbarium records available to the wider scientific community.
1 - University of Oklahoma, Botany & Microbiology and Oklahoma Biological Survey, 770 Van Vleet Oval, Norman, Oklahoma, 73019, USA 2 - University of Oklahoma, Oklahoma Biological Survey, Norman, Oklahoma, 73019, USA 3 - University of Oklahoma, Geography and Oklahoma Biological Survey, Norman, Oklahoma, 73019, USA 4 - Oklahoma State University, Botany, Stillwater, Oklahoma, 74078, USA
Keywords: floristics herbarium database.
Presentation Type: Poster Session: 32-131 Location: Special Event Center (Cliff Lodge) Date: Tuesday, August 3rd, 2004 Time: 12:30 PM Abstract ID:376 |