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Marcos Longo
Lawrence Berkeley National LaboratoryMeeting roles in:
Predicting the Spatio-temporal Dynamics of Forest Responses to Changing Wildfire Regimes
Importance of Multiscale Benchmarking for the FATES Vegetation Demography Model: Seeing the Forest and the Trees
Impact of LiDAR Data Systems on Gross Primary Productivity (GPP) Estimates in Southern Forests with the Ecosystem Demography Model
Machine Learning-Enhanced Vegetation Demography and High-Resolution Earth System Modeling
Intercontinental Differences in Tropical Rainforest Dynamics: Insights from ELM-FATES Simulations
Best practices for using remote sensing data and artificial intelligence for mapping southeastern forest structure and dynamics
Modeling Edge Effects and Post-fire Recovery on Carbon and Water fluxes in the Amazon with FATES
Environmental drivers of spatial variation in tropical forest canopy structure: Insights from NASA’s GEDI spaceborne LiDAR
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