| Palustris Experimental Forest | |
| Photo Width: | 200 |
| Map: | Louisiana#USA |
| Relief: | yes |
| Map Width: | 250 |
| Location: | Rapides Parish, Louisiana, United States |
| Nearest City: | Alexandria, Louisiana |
| Coordinates: | 31.1833°N -92.6667°W |
| Coords Ref: | [1] |
| Established: | July 19, 1935 |
| Governing Body: | USFS, Southern Research Station |
Palustris Experimental Forest is an experimental forest operated by the Southern Research Station (SRS) of the United States Forest Service in Rapides Parish, Louisiana. It is located south of Alexandria, Louisiana within the Kisatchie National Forest.[2] The experimental forest bears the name of the predominant pine species (Pinus palustris) that covered this region before the virgin pine forests were harvested in the early 1900s.[2]
At the end of the 19th century, the longleaf pine ecosystem covered millions of acres across the southeastern US, from Virginia to Texas.[3] In the early 1900s, aggressive harvesting of these old-growth pine forests resulted in a barren landscape in need of reforestation. Under federal programs such as the Weeks Act and Clarke-McNary Act,[4] the US government began buying thousands of cutover acres in Louisiana and other southeastern states to create National Forests with the goal of rehabilitating these former old-growth forests.[5]
The Palustris Experimental Forest was established July 19, 1935[1] on of cutover land that was previously occupied by longleaf pine.[6] The experimental forest was to serve as a field laboratory for evaluating pine reforestation techniques.
In 1950, the original portion of the Palustris Experimental Forest was designated the J.K. Johnson Tract – located at 31.1833°N -92.6667°W – in honor of the Great Southern Lumber Company's chief forester who was an early advocate of reforestation in the South.[7]
Research on the J.K. Johnson Tract has included:[8]
In the 1950s, a separate Longleaf Tract – located at 31.0194°N -92.6403°W – was added to the Palustris Experimental Forest to provide research opportunities in large-scale studies:[6] [8]