New study: Overstory and litter properties drive fuel dynamics
The composition of fire-dependent forests can shift after decades of fire exclusion. Forests can shift to trees with distinct overstory and leaf litter traits that can further suppress fire and make restoration difficult. We compared how leaf litter and overstory properties differed between fire-adapted pines and oaks, and the non-fire adapted species that often encroach after fire suppression. We found that trees produced distinct microclimates and that drying properties of leaf litter varied among species. This information is useful for understanding mesophytic encroachment and for accelerating successful restoration efforts
Module 1: Getting started with LiDAR processing for forestry and natural resources
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 view large datasets, create raster products, map trees, and more!
PNAS: New study defines hurricane regimes for North American forests
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.
New study: Identifying defects in damaged trees to improve guidance for timber salvage
Trees damaged by severe winds experience twisting and snapping that damages useful parts of the tree bole. Visible damage is readily visible on lower portions of damaged trees, but unseen defects can extend further up the bole. Thus it can be difficult for loggers to determine wood quality and merchantability during post-storm timber salvage. We used acoustic measurements to find wood defects and found that traditional guidelines are too conservative. We provide guidance for loggers to help safely harvest substantially more of the bole after severe winds.
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.