Pulse !

Bootcamp for Botanists -- Botanical Woodstock -- Extreme Botany

Call it what you will, there is nothing like Pulse. The annual "pulses" of Carolina Vegetation Survey have become established as special events for those interested in the natural history of the Carolinas. We sample a wide variety of natural communities in areas well known for their biological diversity. Many of these areas are not readily accessible without special arrangements with landowners/managers. This is an ideal way to see new and exciting areas, meet others interested in botany and ecology, and to share knowledge and experience. To get a feel for pulse, look at our photos, or just join us for a few days.

At Carolina Vegetation Survey pulses core scientists and volunteers from across the region study a portion of the Carolinas intensively. All persons interested in vegetation and/or field botany are invited to participate for as many days as is convenient. The entire event typically lasts eight days. Any level of experience is appropriate; the only requirement is that you bring your enthusiasm for field work. Lodging is provided, and sometime even a t-shirt can be had.

Data collection methods are standardized and are now widely employed across the Southeast.  In addition to increasing our understanding of the vegetation of the Carolinas, data collected by the Survey are used for inventory, monitoring, and targeting restoration of the biodivdersity of the region. Data are are available to researchers, government agencies, and conservation organization upon request.

 

 

 

 

 

 

 

 

 

 

 

 

Upcoming Pulse Events

Past pulse events

Click on "Map" to see locations of plots. Plots are color-coded by team. Plot number and most similar established National Vegetation Classification (NVC) community type can be seen by clicking on the marker. Zoom in to see the multiple plots in one location.

Click on "Plots and Communites" to see plot assignments to NVC community types. Note that a plot can be assigned to more than one community, especially if the fit is low. The number of plots with low fit demonstrates the importance of these plots for improving the NVC.