Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
# Fire Ecology Traits for Plants A database for fire research and management ## Abstract An understanding of fire-response traits is useful for predicting how fire regimes structure plant communities and for informing fire management strategies for biodiversity conservation. Quantification of these traits is complex, encompassing several levels of data abstraction from field observations of individuals to population responses, to general categories of species responses. We develop a database of fire ecology traits of plants to accommodate this complexity. Our framework includes flexible and robust features enabling link event information at different organism levels, by: 1. a concise and documented trait and method vocabularies; 1. documented uncertainty in observations and aggregation; 1. documented origin of data. This flexibility enables incorporates a great diversity of information, ordered, and reported for different data standards. We demonstrated application of our framework using data from new field surveys and existing data sets in New South Wales, Australia. ## Project components The different project components include instructions to set-up the database, import data to the database and set up the webapp. Data download from the database has been implemented with different approaches, including a export as a workbook in XSLX format and import into an R and Python sessions for data analysis. ---------- [Home](https://osf.io/hu96w/wiki/home/) [Structure of the database](https://osf.io/hu96w/wiki/1.%20Structure%20of%20the%20database/) [Data Import and Export](https://osf.io/hu96w/wiki/2.%20Data%20import%20and%20export/)
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.