Ecological approaches to forestry seek to emulate aspects of natural disturbances like hurricanes which are a common disturbance in longleaf pine forets. This study used airborne lidar to measure patterns of hurricane-created gaps to offer guidance for application of natural disturbance-based management in landscapes dominated by longleaf pine.
Hurricanes are a chronic disturbance to many forests. but currently no study defines hurricane regimes for North America. This study uses hurricane models and long-term data to define four distinct hurricane regimes for the region, and discusses how hurricanes may be a useful lens for understanding the distribution of tree species and their traits.
UGA graduate and Landscape Ecology lab alumnus Suzie Blaydes recently published a new article in the journal Fire Ecology. The article uses long-term data and geospatial methods to predict litter fall in longleaf pine forests. The findings will contribute to the next generation of spatilly-explicit fuel and fire models
Jones Center researcher Dr. Seth Younger found that longleaf pine woodlands increase water yeidl during droughts. The study looked at 21 rural watersheds with varying levels of longleaf pine cover and found that those with high longleaf pine cover had 17% higher stream flow than those with low cover. The increase was even higher during critical drought periods, highlighting how longleaf pine restoration can improve conservation outcomes on land and in streams.
A new study led by University of Florida and Landscape Ecology lab alumnus Cody Pope was published in the journal Forest Ecology and Management. The study examined growth of longleaf pine and associated oak saplings for 2 years after hurricane Michael, and found that canopy removal may benefit longleaf pine over competing oak species, indicating that hurricanes may reinforce and stabilize longleaf pine dominace in frequent-fire forests.
A recent study from the Landscape Ecology lab led by Andy Whelan explores a new approach to improve large-scale measurements of forest structure using lidar. The study explored the use of “volumetric pixels” (or voxels) which have shown promise for forest measurement. The technique led to accurate estimates of wood volume, even when forest composition was unknown.