You are here
Harvard Forest Research Projects 2024
Ecological Informatics and Modelling
- Bhatnagar, Jennifer. Metabolic complexity drives divergence in microbial communities.
- Boose, Emery. Collecting and Using Provenance in R.
- Boose, Emery. The impacts of future hurricanes under climate change.
- Brown, Luke. Extended evaluation of near-infrared digital hemispherical photography for estimating leaf and wood area index during leaf-on conditions.
- Cabral, Alex. Beaver Camera Trap.
- Clark, James. Collaborative proposal: Combining NEON and remotely sensed habitats to determine climate impacts on community dynamics.
- Clark, James. The Long-term Forest Demographic Analysis, MACRO system.
- Davies, Andrew. Quantifying Seasonal Change in Forest Structure with high-resolution UAV Lidar.
- DeAngelis, Kristen. Cultivation of dominant soil microbes.
- Johnson, Daniel. Resolving the multi-scale drivers of tree mortality from field and remote sensing data on co-located ForestGEO-NEON sites.
- Kaufman, Matthew. Soil physical and microbial variation along an urbanization gradient.
- Kuhlman, Michael. NEON Program Field Operations - 2024.
- Myers, Jonathan. Testing the Role that Biotic Interactions Play in the Latitudinal Diversity Gradient: A Chemical Community Ecology Approach to Understanding Tree Diversity.
- Pederson, Neil. Supporting Mature and Old Growth Forest Mapping with the Global Ecosystem Dynamics Investigation (GEDI) Waveform Lidar.
- Smilanich, Angela. Novel trophic interactions determined by phytochemistry, pathogen infection, and parasitoids.
- Thompson, Jonathan. Modeling climate change impacts on forest carbon storage.
