Landscape Ecology Lab welcomes Leah Andino
The Landscape Ecology lab is proud to welcome Leah Andino as Research Associate who completing her MS research at Yale School of the Environment. Andino will lead our crew of technicians in field research and support the lab’s growing drone and remote sensing research. Welcome, Leah!
NAFEW: Hurricane Ecology and Management (Organized Session)
The Landscape Ecology lab will be hosting an organized session on Hurricane Ecology and Management at the 14th North American Forest Ecology Workshop (NAFEW) in Asheville, NC on June 24-27, 2024. Our organized session, titled “Hurricane ecology and management in tropical cyclone-prone forests of the US” will feature researchers working on the ecological effects of hurricanes and how to mitigate and measure hurricane risk and impacts to guide conservation efforts.
New study: Precipitation can increase stability of some trees in wind storms
Root anchorage is one of the main drivers of tree stability in wind storms. Tree winching help to understand forces that tree can withstand. We compared stability of two pine species after wetting the soil and uncovered that wet soil can actually *increase* tree strength by add weight to the root mass. This experiment helped resolve a paradox of soil moisture by distinguish the opposite effects of long-term and short-term soil moisture.
Now hiring: Mussel Conservation & Landscape Ecology Seasonal Technician
We are seeking applicants from motivated individuals for a Seasonal Research Technican to contribute to the development of a Habitat Conservation Plan for freshwater mussels. The successful applicant will assist with UAV stream surveys, use acoustic doppler on stream reaches, and conduct biological surveys for freshwater mussels. The position will work in a team setting, collaborating with the Jones Center Mussel Conservation and Landscape Ecology Research Teams. Applications reviewed immediately
Landscape Ecology Lab welcomes Dr. Behnoosh Abbasnezhad
The Landscape Ecology lab is proud to welcome Dr. Behnoosh Abbasnezhad who recently completed her PhD research at the Warnell School of Forestry and Natural Resources. Dr. Abbasnezhad’s future work will improve conservation outcomes in longleaf pine ecosystems by working with NRCS to develop tools for identifying high-priority areas for conservation easements and develop education materials to improve natural disturbance-based management outcomes in longleaf pine.
Module 7: Putting it all together (large-scale raster products)
If you are interested in learning to use LiDAR for forestry and natural resources, this tutorial can help you get started. You will learn to create products for very large areas, deal with edge effects, and use parallel processing for fast analyses!
Module 6: Speed up your analyses: Parallel processing with LAScatalog
If you are interested in learning to use LiDAR for forestry and natural resources, this tutorial can help you get started. You will learn to work with large LiDAR datasets, set processing options, and learn how to deal with edge effects. These skills will help you analyze large areas seamlessly!
Module 5: Speeding up your analyses: Reduced datasets
If you are interested in learning to use LiDAR for forestry and natural resources, this tutorial can help you get started. You will learn ways to help speed up and super charge your LiDAR analyses. This tutorial covers how to create spatial indexes for loading reduced datasets, subsetting to smaller scenes, and creating lower density point clouds.
Module 4: Putting it all together: Asking ecological questions
If you are interested in learning to use LiDAR for forestry and natural resources, this tutorial can help you get started. You will learn to extract data from lidar products like canopy size, tree locations, and elevation. You will also build a statistical model from lidar data to answer ecological questions
Module 3: Mapping trees from aerial LiDAR data
If you are interested in learning to use LiDAR for forestry and natural resources, this tutorial can help you identify tree locations, segment trees and estimate tree size, and turn a lidar point cloud into a stem map!
