Róbson Borges de Lima

This study uses ecological niche modeling to project how climate change affects the distribution of giant trees in the Amazon under different emission scenarios.

This study models potential aboveground biomass in the Caatinga, finding it highly sensitive to water availability and topography, with high biomass in rugged terrains and under specific precipitation thresholds.

The paper assesses tree species natural regeneration in a tidal white-water floodplain forest, finding high diversity and dominance of a single species.

The paper analyzes tall-tree density in the Amazon using LiDAR data and environmental metrics, finding that water availability and stable climate drive their distribution.